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| forecasting supply chain management: Data Science for Supply Chain Forecasting Nicolas Vandeput, 2021-03-22 Using data science in order to solve a problem requires a scientific mindset more than coding skills. Data Science for Supply Chain Forecasting, Second Edition contends that a true scientific method which includes experimentation, observation, and constant questioning must be applied to supply chains to achieve excellence in demand forecasting. This second edition adds more than 45 percent extra content with four new chapters including an introduction to neural networks and the forecast value added framework. Part I focuses on statistical traditional models, Part II, on machine learning, and the all-new Part III discusses demand forecasting process management. The various chapters focus on both forecast models and new concepts such as metrics, underfitting, overfitting, outliers, feature optimization, and external demand drivers. The book is replete with do-it-yourself sections with implementations provided in Python (and Excel for the statistical models) to show the readers how to apply these models themselves. This hands-on book, covering the entire range of forecasting—from the basics all the way to leading-edge models—will benefit supply chain practitioners, forecasters, and analysts looking to go the extra mile with demand forecasting. |
| forecasting supply chain management: Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics Taghipour, Atour, 2020-09-18 In a decentralized supply chain, most of the supply chain agents may not share information due to confidentiality policies, quality of information, or different system incompatibilities. Every actor holds its own set of information and attempts to maximize its objective (minimizing costs/minimizing inventory holdings) based on the available settings. Therefore, the agents control their own activities with the objective of improving their own competitiveness, which leads them to make decisions that maximize their local performance by ignoring the other agents or even the final consumer. These decisions are myopic because they do not consider the performance of all the partners to satisfy the consumer. Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics is a collection of innovative research that focuses on demand anticipation, forecasting, and order planning as well as humanitarian logistics to propose original solutions for existing problems. While highlighting topics including artificial intelligence, information sharing, and operations management, this book is ideally designed for supply chain managers, logistics personnel, business executives, management experts, operation industry professionals, academicians, researchers, and students who want to improve their understanding of supply chain coordination in order to be competitive in the new era of globalization. |
| forecasting supply chain management: Definitive Guides for Supply Chain Management Professionals (Collection) CSCMP, Robert Frankel, Scott B. Keller, Brian C. Keller, Brian J. Gibson, Joe B. Hanna, C. Clifford Defee, Haozhe Chen, Wendy Tate, Nada R. Sanders, Thomas J. Goldsby, Deepak Iyengar, Shashank Rao, Stanley E. Fawcett, Amydee M. Fawcett, Mark A. Moon, 2014-02-11 A brand new collection of best practices for planning, organizing, and managing high-value supply chains… 8 authoritative books, now in a convenient e-format, at a great price! 8 authoritative books help you systematically plan, manage, and optimize any supply chain, in any environment or industry Master all the knowledge and best practices you need to design, implement, and manage world-class supply chains! This unique 8 eBook package will be an indispensable resource for supply chain professionals and students in any organization or environment. It contains 7 complete books commissioned by Council of Supply Chain Management Professionals (CSCMP), the preeminent worldwide professional association dedicated to advancing and disseminating SCM research and knowledge. CSCMP's The Definitive Guide to Supply Chain Best Practices brings together state-of-the-art case studies to help you identify challenges, evaluate solutions, plan implementation, and prepare for the future. These realistic, fact-based cases reflect the full complexity of modern supply chain management. You're challenged to evaluate each scenario, identify the best available responses, and successfully integrate functional activities ranging from forecasting through post-sales service. CSCMP's Definitive Guide to Integrated Supply Chain Management is your definitive reference to managing supply chains that improve customer service, reduce costs, and enhance business performance. Clearly and concisely, it introduces modern best practices for organizations of all sizes, types, and industries. Next, this eBook package contains five books fully addressing core areas of CSCMP Level One SCPro™ certification: manufacturing/service operations; warehousing; supply management/procurement; transportation; and order fulfillment/customer service. All five offer focused coverage of essential technical and behavioral skills, addressing principles, elements, strategies, tactics, processes, business interactions/linkages, technologies, planning, management, measurement, global operations, and more. The Definitive Guide to Manufacturing and Service Operations introduces complete best practices for planning, organizing, and managing the production of products and services. Itintroduces key terminology, roles, and goals; techniques for planning and scheduling facilities, material, and labor; continuous process and quality improvement methods; sustainability; MRP II, DRP, and other technologies; and more. Next, The Definitive Guide to Warehousing helps you optimize all facets of warehousing, step by step. It explains each warehousing option, storage and handling operations, strategic planning, and the effects of warehousing decisions on total logistics costs and customer service. It covers product and materials handling, labor management, warehouse support, extended value chain processes, facility ownership, planning, strategy decisions, warehouse management systems, Auto-ID, AGVs, and more. The Definitive Guide to Supply Management and Procurement helps you drive sustainable competitive advantage via better supplier management and procurement. It covers transactional and long-term activities; category analysis, supplier selection, contract negotiation, relationship management, performance evaluation/management; sustainability; spend analysis, competitive bidding, eProcurement, eSourcing, auctions/reverse auctions, contract compliance, global sourcing, and more. The Definitive Guide to Transportation is today's most authoritative guide to world-class supply chain transportation. Its coverage includes: transportation modes, execution, and control; outsourcing, modal and carrier selection, and 3PLs; TMS technologies; ocean shipping, international air, customs, and regulation; and more. CSCMP's The Definitive Guide to Order Fulfillment and Customer Service covers all facets of building and operating world-class supply chain order fulfillment and customer service processes, from initial customer inquiry through post sales service and support. It introduces crucial concepts ranging from order cycles to available-to-promise, supply chain RFID to global order capture networks, guiding you in optimizing every customer contact you make. Finally, in Demand and Supply Integration: The Key to World-Class Demand Forecasting, Mark A. Moon helps you effectively integrate demand forecasting within a comprehensive, world-class Demand and Supply Integration (DSI) process. Moon shows how to approach demand forecasting as a management process; choose and apply the best qualitative and quantitative techniques; and create demand forecasts that are far more accurate and useful. If you're tasked with driving more value from your supply chain, this collection offers you extraordinary resources -- and unsurpassed opportunities. From world-renowned supply chain experts Robert Frankel, Brian J. Gibson, Joe B. Hanna, C. Clifford Defee, Haozhe Chen, Nada Sanders, Scott B. Keller, Brian C. Keller, Wendy L. Tate, Thomas J. Goldsby, Deepak Iyengar, Shashank Rao, Stanley E. Fawcett, Amydee M. Fawcett, and Mark A. Moon |
| forecasting supply chain management: Collaborative Planning, Forecasting, and Replenishment Dirk Seifert, 2003 Based on original research conducted at the Harvard Business School, Collaborative Planning, Forecasting, and Replenishment gathers the insights and experiences of 38 leading CPFR practitioners from around the world and from a variety of industries, including manufacturers, retailers, consulting companies, and IT-solutions providers. Packed with valuable case studies and insider accounts from some of the most powerful companies using CPFR today - including giants such as Wal-Mart, Safeway, Ace Hardware, and Procter & Gamble. |
| forecasting supply chain management: Forecasting Fundamentals Nada Sanders, 2016-11-14 This book is for everyone who wants to make better forecasts. It is not about mathematics and statistics. It is about following a well-established forecasting process to create and implement good forecasts. This is true whether you are forecasting global markets, sales of SKUs, competitive strategy, or market disruptions. Today, most forecasts are generated using software. However, no amount of technology and statistics can compensate for a poor forecasting process. Forecasting is not just about generating a number. Forecasters need to understand the problems they are trying to solve. They also need to follow a process that is justifiable to other parties and be implemented in practice. This is what the book is about. Accurate forecasts are essential for predicting demand, identifying new market opportunities, forecasting risks, disruptions, innovation, competition, market growth and trends. Companies can navigate this daunting landscape and improve their forecasts by following some well-established principles. This book is written to provide the fundamentals business leaders need in order to make good forecasts. These fundamentals hold true regardless of what is being forecast and what technology is being used. It provides the basic foundational principles all companies need to achieve competitive forecast accuracy. |
| forecasting supply chain management: Data Science for Supply Chain Forecast Nicolas Vandeput, 2018-11-12 Data Science for Supply Chain Forecast Data Science for Supply Chain Forecast is a book for practitioners focusing on data science and machine learning; it demonstrates how both are closely interlinked in order to create an advanced forecast for supply chain. As one will discover in this book, artificial intelligence (AI) & machine learning (ML) are not simply a question of coding skills. Using data science in order to solve a problem requires a scientific mindset more than coding skills. The story behind these models is one of experimentation, of observation and of constant questioning; a true scientific method must be applied to supply chain. In the data science field as well as that of the supply chain, simple questions do not come with simple answers. In order to resolve these questions, one needs to be both a scientist as well as to use the correct tools. In this book, we will discuss both. Is this Book for me? This book has been written for supply chain practitioners, forecasters and analysts who are looking to go the extra mile. You do not need technical IT skills to start using the models of this book. You do not need a dedicated server or expensive software licenses: you solely need your own computer. You do not need a PhD in mathematics: mathematics will only be utilized as a tool to tweak and understand the models. In the majority of the cases - especially when it comes to machine learning - a deep understanding of the mathematical inner workings of a model will not be necessary in order to optimize it and understand its limitations. Reviews In an age where analytics and machine learning are taking on larger roles in the business forecasting, Nicolas' book is perfect solution for professionals who need to combine practical supply chain experience with the mathematical and technological tools that can help us predict the future more reliably. Daniel Stanton - Author, Supply Chain Management For Dummies Open source statistical toolkits have progressed tremendously over the last decade. Nicolas demonstrates that these toolkits are more than enough to start addressing real-world forecasting challenges as found in supply chains. Moreover, through its hands-on approach, this book is accessible to a large audience of supply chain practitioners. The supply chain of the 21st century will be data-driven and Nicolas gets it perfectly. Joannes Vermorel - CEO Lokad This book is unique in its kind. It explains the basics of Python using basic traditional forecasting techniques and shows how machine learning is revolutionizing the forecasting domain. Nicolas has done an outstanding job explaining a technical subject in an easily accessible way. A must-read for any supply chain professional. Professor Bram Desmet - CEO Solventure This book is before anything a practical and business-oriented DIY user manual to help planners move into 21st-century demand planning. The breakthrough comes from several tools and techniques available to all, and which thanks to Nicolas' precise and concrete explanations can now be implemented in real business environments by any normal planner. I can confirm that Nicolas' learnings are based on real-life experience and can tremendously help on improving top and bottom lines. Henri-Xavier Benoist - VP Supply Chain Bridegstone EMEA |
| forecasting supply chain management: Demand and Supply Integration Mark A. Moon, 2013-01-14 Supply chain professionals: master pioneering techniques for integrating demand and supply, and create demand forecasts that are far more accurate and useful! In Demand and Supply Integration, Dr. Mark Moon presents the specific design characteristics of a world-class demand forecasting management process, showing how to effectively integrate demand forecasting within a comprehensive Demand and Supply Integration (DSI) process. Writing for supply chain professionals in any business, government agency, or military procurement organization, Moon explains what DSI is, how it differs from approaches such as SandOP, and how to recognize the symptoms of failures to sufficiently integrate demand and supply. He outlines the key characteristics of successful DSI implementations, shows how to approach Demand Forecasting as a management process, and guides you through understanding, selecting, and applying the best available qualitative and quantitative forecasting techniques. You'll learn how to thoroughly reflect market intelligence in your forecasts; measure your forecasting performance; implement state-of-the-art demand forecasting systems; manage Demand Reviews, and much more. For wide audiences of supply chain, logistics, and operations management professionals at all levels, from analyst and manager to Director, Vice President, and Chief Supply Chain Officer; and for researchers and graduate students in the field. |
| forecasting supply chain management: Big Data Driven Supply Chain Management Nada R. Sanders, 2014-05-07 Master a complete, five-step roadmap for leveraging Big Data and analytics to gain unprecedented competitive advantage from your supply chain. Using Big Data, pioneers such as Amazon, UPS, and Wal-Mart are gaining unprecedented mastery over their supply chains. They are achieving greater visibility into inventory levels, order fulfillment rates, material and product delivery… using predictive data analytics to match supply with demand; leveraging new planning strengths to optimize their sales channel strategies; optimizing supply chain strategy and competitive priorities; even launching powerful new ventures. Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains. You'll learn best practices for segmenting and analyzing customers, defining competitive priorities for each segment, aligning functions behind strategy, dissolving organizational boundaries to sense demand and make better decisions, and choose the right metrics to support all of this. Using these techniques, you can overcome the widespread obstacles to making the most of Big Data in your supply chain — and earn big profits from the data you're already generating. For all executives, managers, and analysts interested in using Big Data technologies to improve supply chain performance. |
| forecasting supply chain management: Managing Supply Chain Risk and Vulnerability Teresa Wu, Jennifer Vincent Blackhurst, 2009-08-20 Managing Supply Chain Risk and Vulnerability, a book that both practitioners and students can use to better understand and manage supply chain risk, presents topics on decision making related to supply chain risk. Leading academic researchers, as well as practitioners, have contributed chapters focusing on developing an overall understanding of risk and its relationship to supply chain performance; investigating the relationship between response time and disruption impact; assessing and prioritizing risks; and assessing supply chain resilience. Supply chain managers will find Managing Supply Chain Risk and Vulnerability a useful tool box for methods they can employ to better mitigate and manage supply chain risk. On the academic side, the book can be used to teach senior undergraduate students, as well as graduate-level students. Additionally, researchers may use the text as a reference in the area of supply chain risk and vulnerability. |
| forecasting supply chain management: The Definitive Guide to Modern Supply Chain Management (Collection) Chad W. Autry, Thomas J. Goldsby, John Bell, Mark A. Moon, Chuck Munson, Michael Watson, Sara Lewis, Peter Cacioppi, Jay Jayaraman, 2013-07-02 A brand new collection of state-of-the-art guides to more effective supply chain management… 4 pioneering books, now in a convenient e-format, at a great price! 4 up-to-the-minute books help you build and optimize agile, flexible, efficient global supply chains — in the face of any challenge! As a supply chain or operations professional, you face unprecedented challenges in delivering the agile, resilient, efficient supply chain your company needs. This indispensable 4-book package gives you unprecedented resources, best practices, tools, and case studies for managing each of these challenges. Global Macrotrends and Their Impact on Supply Chain Management shows how to manage supply and demand in the face of massively disruptive emerging societal, technological, geopolitical, and environmental macro trends. You’ll find a complete decision framework and practical tools, insights, and guidance for systematically mitigating new risks and building long-term competitive advantage. Step by step, you’ll walk through assessing and responding to population growth, migration, urbanization; socioeconomic change, global connectivity, environmental issues, geopolitics, growing scarcity, transportation congestion, aging infrastructure, and more. Next, Supply Chain Network Design helps you use strategic network design techniques to drive dramatic new savings throughout your supply chain. The authors, who are experts at IBM and Northwestern University, combine rigorous principles and practical applications, helping you optimize the right number, location, territory, and size of warehouses, plants, and production lines; and optimize product flow through even the most complex global supply chains. They help you manage tradeoffs such as cost vs. service level, improve operational decision-making through analytics; and re-optimize regularly for even greater savings. Then, Demand and Supply Integration shows how to implement world-class demand forecasting management, and effectively integrate it into comprehensive Demand and Supply Integration (DSI) processes. You’ll learn how to recognize failures of demand/supply integration, approach Demand Forecasting as a management process, and choose and apply the best forecasting techniques. You’ll discover how to thoroughly reflect market intelligence in forecasts; measure forecasting performance; implement advanced demand forecasting systems; manage Demand Reviews, and more. Finally, The Supply Chain Management Casebook brings together 30 up-to-date, focused case studies illuminating every aspect of modern supply chain management — from procurement to warehousing, strategy to risk management, IT to supplier selection and ethics. Contributors present key challenges in industries ranging from pharmaceuticals to fashion, and preview issues ranging from the “limits of lean” to the potential of 3-D printing. Both qualitative and quantitative cases are included; quantitative cases are supported by completed numerical solutions, and, where applicable, associated spreadsheets. From supply chain experts Chad W. Autry, Thomas J. Goldsby, John E. Bell, Michael Watson, Sara Lewis, Peter Cacioppi, Jay Jayaraman, Mark A. Moon, and Chuck Munson |
| forecasting supply chain management: The Definitive Guide to Modern Supply Chain Management (collection) , 2013 |
| forecasting supply chain management: Inventory Optimization Nicolas Vandeput, 2020-08-24 In this book . . . Nicolas Vandeput hacks his way through the maze of quantitative supply chain optimizations. This book illustrates how the quantitative optimization of 21st century supply chains should be crafted and executed. . . . Vandeput is at the forefront of a new and better way of doing supply chains, and thanks to a richly illustrated book, where every single situation gets its own illustrating code snippet, so could you. --Joannes Vermorel, CEO, Lokad Inventory Optimization argues that mathematical inventory models can only take us so far with supply chain management. In order to optimize inventory policies, we have to use probabilistic simulations. The book explains how to implement these models and simulations step-by-step, starting from simple deterministic ones to complex multi-echelon optimization. The first two parts of the book discuss classical mathematical models, their limitations and assumptions, and a quick but effective introduction to Python is provided. Part 3 contains more advanced models that will allow you to optimize your profits, estimate your lost sales and use advanced demand distributions. It also provides an explanation of how you can optimize a multi-echelon supply chain based on a simple—yet powerful—framework. Part 4 discusses inventory optimization thanks to simulations under custom discrete demand probability functions. Inventory managers, demand planners and academics interested in gaining cost-effective solutions will benefit from the do-it-yourself examples and Python programs included in each chapter. Events around the book Link to a De Gruyter Online Event in which the author Nicolas Vandeput together with Stefan de Kok, supply chain innovator and CEO of Wahupa; Koen Cobbaert, Director in the S&O Industry practice of PwC Belgium; Bram Desmet, professor of operations & supply chain at the Vlerick Business School in Ghent; and Karl-Eric Devaux, Planning Consultant, Hatmill, discuss about models for inventory optimization. The event will be moderated by Eric Wilson, Director of Thought Leadership for Institute of Business Forecasting (IBF): https://youtu.be/565fDQMJEEg |
| forecasting supply chain management: Demand Prediction in Retail Maxime C. Cohen, Paul-Emile Gras, Arthur Pentecoste, Renyu Zhang, 2022-01-01 From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demystify how historical data can be leveraged to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture. This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy. |
| forecasting supply chain management: Fundamentals of Supply Chain Management John T. Mentzer, 2004-05-05 This book is an insightful, well-balanced, stimulating SCM Strategy book that clearly tells managers, consultants, as well as educators that the SCM concept is not a fad but a must strategy to gain competitive advantage in today′s dynamic global market place. There are three major strengths. First, it is an unprecedented interdisciplinary SCM strategy book that explains how companies obtain, maintain, and even enhance competitive advantages based upon a well-laid SCM strategy. Second, it provides readers a unique, well-balanced framework for SCM strategy formulation. Third, it is a valuable contribution in the area of SCM in that it does a good job in explaining such a complicated SCM strategy to readers in such a simple manner. —Soonhong (Hong) Min, University of Oklahoma Author of the bestselling text Supply Chain Management, John T. Mentzer′s companion book Fundamentals of Supply Chain Management: Twelve Drivers of Competitive Advantage has been developed as a supplemental text for any course dealing with strategy and supply chains. Written in an entertaining, accessible style, Mentzer identifies twelve drivers of competitive advantage as clear strategic points managers can use in their companies. Research from more than 400 books, articles, and papers, as well as interviews with over fifty executives in major global companies, inform these twelve drivers. The roles of all of the traditional business functions—marketing, sales, logistics, information systems, finance, customer services, and management—in supply chain management are also addressed. Complete with cases and real-world examples from corporations around the world, the book′s exemplars will help students and practicing managers to more effectively understand, implement, and manage supply chains successfully. |
| forecasting supply chain management: Fundamentals of Demand Planning and Forecasting Chaman L. Jain, Jack Malehorn, 2012 |
| forecasting supply chain management: Supply Chain Planning and Analytics Gerald Feigin, 2011-08-31 Every company must continually wrestle with the problem of deciding the right quantity and mix of products or services that it should produce as well as when and where to produce them. The problem is challenging because the decision must be made with uncertain and conflicting information about future demand, available production capacity, and sources of supply. The decision is in fact a highly complex balancing act, involving tradeoffs along many dimensions - for example, inventory targets vs. customer service levels, older products vs. newer ones, direct customers vs. channel partners - and requiring the compromise of constituents - sales, marketing, operations, procurement, product development, finance, as well as suppliers and customers - with varied objectives. The ability of a company to nimbly navigate this decision process without giving too much influence to any of the parties involved largely determines how well the company can respond to changing market conditions and ultimately whether the company will continue to thrive. This book focuses on the complex challenges of supply chain planning - the set of business processes that companies use for planning to meet future demand. Supply chain planning comprises a variety of planning processes within an organization: demand planning, sales & operations planning, inventory planning, promotion planning, supply planning, production planning, distribution planning, and capacity planning. Of course, not all companies engage in all of these planning activities and they may refer to these activities by other names but they all struggle with the on-going effort of matching demand with supply. Many textbooks address supply chain planning problems and present mathematical tools and methods for solving certain classes of problems. This book is intended to complement these texts by focusing not on the mathematical models but on the problems that arise in practice that either these models do not adequately address or that make applying the models difficult or impossible. The book is not intended to provide pat solutions to these problems, but more to highlight the complexities and subtleties involved and describe ways to overcome practical issues that have worked for some companies. |
| forecasting supply chain management: An Introduction to Supply Chain Management Edmund Prater, 2013-02-01 If you’re a manager of a supply chain operation, or a student learning about supply chain management, this book will provide not only an overview of supply chain management but also a framework for subsequent, more detailed study in various aspects of supply management. This book reviews the evolution of supply chain management concepts and discusses trends in global markets and strategic competitiveness. It then focuses on the major issues involved in managing a competitive supply chain including: forecasting, inventory management, distribution, dealing with uncertainty, reverse logistics, and customer service. Coverage of the dynamic, evolving issues pertaining to supply chains that affect the global business community concludes the book. With this book in hand, you’ll be better equipped to conceptualize the management of supply chains as a collection of business processes; identify primary and secondary value chain processes; distinguish between the umbrella term, “supply chain management,” and its component functions; and understand the basic tools of forecasting and the need for accurate data and forecasts on which to base supply chain management decisions. |
| forecasting supply chain management: Global Supply Chain and Operations Management Dmitry Ivanov, Alexander Tsipoulanidis, Jörn Schönberger, 2021-11-19 The third edition of this textbook comprehensively discusses global supply chain and operations management (SCOM), combining value creation networks and interacting processes. It focuses on operational roles within networks and presents the quantitative and organizational methods needed to plan and control the material, information, and financial flows in supply chains. Each chapter begins with an introductory case study, while numerous examples from various industries and services help to illustrate the key concepts. The book explains how to design operations and supply networks and how to incorporate suppliers and customers. It examines how to balance supply and demand, a core aspect of tactical planning, before turning to the allocation of resources to meet customer needs. In addition, the book presents state-of-the-art research reflecting the lessons learned from the COVID-19 pandemic, and emerging, fast-paced developments in the digitalization of supply chain and operations management. Providing readers with a working knowledge of global supply chain and operations management, with a focus on bridging the gap between theory and practice, this textbook can be used in core, specialized, and advanced classes alike. It is intended for a broad range of students and professionals in supply chain and operations management. |
| forecasting supply chain management: Supply Chain Management John T. Mentzer, 2001 This work presents a comprehensive model of supply chain management. Experienced executives from 20 companies clearly define supply chain management, identifying those factors that contribute to its effective implementation. They provide practical guidelines on how companies can manage supply chains, addressing the role of all the traditional business functions in supply chain management and suggest how the adoption of a supply chain management approach can affect business strategy and corporate performance. |
| forecasting supply chain management: Demand and Supply Integration Mark A. Moon, 2018-04-09 Supply chain professionals: master pioneering techniques for integrating demand and supply, and create demand forecasts that are far more accurate and useful! In Demand and Supply Integration, Dr. Mark Moon presents the specific design characteristics of a world-class demand forecasting management process, showing how to effectively integrate demand forecasting within a comprehensive Demand and Supply Integration (DSI) process. Writing for supply chain professionals in any business, government agency, or military procurement organization, Moon explains what DSI is, how it differs from approaches such as S&OP, and how to recognize the symptoms of failures to sufficiently integrate demand and supply. He outlines the key characteristics of successful DSI implementations, shows how to approach Demand Forecasting as a management process, and guides you through understanding, selecting, and applying the best available qualitative and quantitative forecasting techniques. You'll learn how to thoroughly reflect market intelligence in your forecasts; measure your forecasting performance; implement state-of-the-art demand forecasting systems; manage Demand Reviews, and much more. |
| forecasting supply chain management: Operations Management Jay Heizer, Barry Render, 2014 This package includes a physical copy of 'Operations Management' as well as access to the eText and MyOMLab. The edition has been edited to include enhancements making it more relevant to students outside the United States. The book presents a broad introduction to the field of operations in a realistic and practical manner, while offering the largest and most diverse collection of problems on the market. |
| forecasting supply chain management: Demand Forecasting for Managers Stephan Kolassa, Enno Siemsen, 2016-08-17 Most decisions and plans in a firm require a forecast. Not matching supply with demand can make or break any business, and that's why forecasting is so invaluable. Forecasting can appear as a frightening topic with many arcane equations to master. For this reason, the authors start out from the very basics and provide a non-technical overview of common forecasting techniques as well as organizational aspects of creating a robust forecasting process. The book also discusses how to measure forecast accuracy to hold people accountable and guide continuous improvement. This book does not require prior knowledge of higher mathematics, statistics, or operations research. It is designed to serve as a first introduction to the non-expert, such as a manager overseeing a forecasting group, or an MBA student who needs to be familiar with the broad outlines of forecasting without specializing in it. |
| forecasting supply chain management: On Replenishment Rules, Forecasting, and the Bullwhip Effect in Supply Chains Stephen M. Disney, Marc R. Lambrecht, 2008 In this review we focus on supply coordination and use the bullwhip effect as the key example of supply chain inefficiency. We emphasize the managerial relevance of the bullwhip effect and the methodological issues so that both managers and researchers can benefit. |
| forecasting supply chain management: Sales Forecasting Management John T. Mentzer, Mark A. Moon, 2004-11-23 Incorporating 25 years of sales forecasting management research with more than 400 companies, Sales Forecasting Management, Second Edition is the first text to truly integrate the theory and practice of sales forecasting management. This research includes the personal experiences of John T. Mentzer and Mark A. Moon in advising companies how to improve their sales forecasting management practices. Their program of research includes two major surveys of companies′ sales forecasting practices, a two-year, in-depth study of sales forecasting management practices of 20 major companies, and an ongoing study of how to apply the findings from the two-year study to conducting sales forecasting audits of additional companies. The book provides comprehensive coverage of the techniques and applications of sales forecasting analysis, combined with a managerial focus to give managers and users of the sales forecasting function a clear understanding of the forecasting needs of all business functions. New to This Edition: The author′s well-regarded Multicaster software system demo, previously available on cassette, has been updated and is now available for download from the authors′ Web site New insights on the critical area of qualitative forecasting are presented The results of additional surveys done since the publication of the first edition have been added The discussion of the four dimensions of forecasting management has been significantly enhanced Significant reorganization and updating has been done to strengthen and improve the material for the second edition. Sales Forecasting Management is an ideal text for graduate courses in sales forecasting management. Practitioners in marketing, sales, finance/accounting, production/purchasing, and logistics will also find this easy-to-understand volume essential. |
| forecasting supply chain management: Inventory Planning with Forecasting Expenditure Sanjay Sharma, 2022-03-06 In industrial or business cases, purchasing and procurement are significant functions. Usually, a procurement plan is prepared based on certain predictions of consumption patterns or demand. When this plan is implemented, the benefit is obtained corresponding to forecast accuracy. In the available literature, forecasting accuracy is frequently discussed. A need is established to link forecasting accuracy with forecasting expenditures. After an explicit inclusion of the forecasting expenditure, this book describes inventory planning for procurement and production. FEATURES Discusses forecasting expenditure in detail Provides an analysis of reduction and increase in forecasting expenditures Highlights advanced concepts that include procurement inventory, production planning, and priority planning in detail Examines an approach in relation to the inclusion of an explicit cost of forecasting Covers total cost formulation, modified total cost, relevant index, threshold value, and cost of forecasting in a comprehensive manner with the help of examples Inventory Planning with Forecasting Expenditure is useful for undergraduate and postgraduate students in engineering and management and has potential for elective and supplementary core courses. |
| forecasting supply chain management: Integrative Long-Term Supply Chain Demand Planning Solveig Zinnert, 2010 Integrative planning in supply chains is an essential field in logistics management. But still there are open questions especially in a long-term perspective: In order to align strategic decisions of several supply chain partners an integrated long-term demand planning process is necessary but in many industries sill mission. This would enable companies for example to co-ordinate their long-term investments in production facilities as well as transport and storage capacities and therefore increase overall efficiency in supply chains. This edition gives a very good outline about the basic problem, providing further an innovative stepwise approach to solve the integrated planning problem. The concept is matched with the business case 'BP' as a typical company and industry with influential long-term changes ahead. By this business example implementation the real life value of such planning instruments can be shown. This will motivate many companies and industries to transfer the concept to their specific environments in order to further optimize their supply chains in the future. |
| forecasting supply chain management: Supply Chain Management John Joseph Coyle, C. John Langley, Robert A. Novack, Brian J. Gibson, 2020 |
| forecasting supply chain management: Introduction to Time Series Analysis and Forecasting Douglas C. Montgomery, Cheryl L. Jennings, Murat Kulahci, 2015-04-21 Praise for the First Edition ...[t]he book is great for readers who need to apply the methods and models presented but have little background in mathematics and statistics. -MAA Reviews Thoroughly updated throughout, Introduction to Time Series Analysis and Forecasting, Second Edition presents the underlying theories of time series analysis that are needed to analyze time-oriented data and construct real-world short- to medium-term statistical forecasts. Authored by highly-experienced academics and professionals in engineering statistics, the Second Edition features discussions on both popular and modern time series methodologies as well as an introduction to Bayesian methods in forecasting. Introduction to Time Series Analysis and Forecasting, Second Edition also includes: Over 300 exercises from diverse disciplines including health care, environmental studies, engineering, and finance More than 50 programming algorithms using JMP®, SAS®, and R that illustrate the theory and practicality of forecasting techniques in the context of time-oriented data New material on frequency domain and spatial temporal data analysis Expanded coverage of the variogram and spectrum with applications as well as transfer and intervention model functions A supplementary website featuring PowerPoint® slides, data sets, and select solutions to the problems Introduction to Time Series Analysis and Forecasting, Second Edition is an ideal textbook upper-undergraduate and graduate-levels courses in forecasting and time series. The book is also an excellent reference for practitioners and researchers who need to model and analyze time series data to generate forecasts. |
| forecasting supply chain management: Supply Chain Management Nada R. Sanders, 2020-11-24 Like no other text on the subject, Supply Chain Management: A Global Perspective provides a balanced and integrated perspective of both the foundational principles and pragmatic, business-oriented functions of SCM. Highlighting the holistic and interconnected nature of SCM, this comprehensive volume addresses supply chain strategy, design, planning, controlling, management and more. The text features numerous real-world business examples that illustrate SCM best practices while helping students understand the complexities of SCM decision making. Now in its third edition, this well-respected text provides a global focus, cross-functional approach, and strong pedagogy. Clear, student-friendly chapters contain discussion questions, case studies, and examples designed to develop managerial thinking, explore key managerial issues, and bring difficult concepts to life. Detailed yet accessible coverage of topics including operations management, sourcing, logistics, forecasting, demand planning, and sustainable supply chain management offers a realistic practitioner’s view of SCM in the contemporary business landscape. |
| forecasting supply chain management: The Quantitative Supply Chain Joannès Vermorel, 2018-01-26 The Quantitative Supply Chain represents a novel and disruptive perspective on the optimization of supply chains. It can be seen as a refoundation of many supply chain practices, in particular regarding inventory forecasting, and has been built to make the most of the latest statistical approaches and vast computing resources that are available nowadays. |
| forecasting supply chain management: Logistics and Supply Chain Management ePub eBook Martin Christopher, 2013-07-25 Effective development and management of a supply chain network is an invaluable source of sustainable advantage in today’s turbulent global marketplace, where demand is difficult to predict and supply chains need to be more flexible as a result. This updated 4th edition of the bestselling Logistics and Supply Chain Management is a clear-headed guide to all the key topics in an integrated approach to supply chains, including: • The link between logistics and customer value. • Logistics and the bottom line measuring costs and performance. • Creating a responsive supply chain. • Managing the global pipeline. • Managing supply chain relationships. • Managing risk in the supply chain. • Matching supply and demand. • Creating a sustainable supply chain. • Product design in the supply chain. |
| forecasting supply chain management: Demand and Supply Integration Mark A. Moon, 2013 |
| forecasting supply chain management: Fundamentals of Supply Chain Theory Lawrence V. Snyder, Zuo-Jun Max Shen, 2019-07-01 Comprehensively teaches the fundamentals of supply chain theory This book presents the methodology and foundations of supply chain management and also demonstrates how recent developments build upon classic models. The authors focus on strategic, tactical, and operational aspects of supply chain management and cover a broad range of topics from forecasting, inventory management, and facility location to transportation, process flexibility, and auctions. Key mathematical models for optimizing the design, operation, and evaluation of supply chains are presented as well as models currently emerging from the research frontier. Fundamentals of Supply Chain Theory, Second Edition contains new chapters on transportation (traveling salesman and vehicle routing problems), integrated supply chain models, and applications of supply chain theory. New sections have also been added throughout, on topics including machine learning models for forecasting, conic optimization for facility location, a multi-supplier model for supply uncertainty, and a game-theoretic analysis of auctions. The second edition also contains case studies for each chapter that illustrate the real-world implementation of the models presented. This edition also contains nearly 200 new homework problems, over 60 new worked examples, and over 140 new illustrative figures. Plentiful teaching supplements are available, including an Instructor’s Manual and PowerPoint slides, as well as MATLAB programming assignments that require students to code algorithms in an effort to provide a deeper understanding of the material. Ideal as a textbook for upper-undergraduate and graduate-level courses in supply chain management in engineering and business schools, Fundamentals of Supply Chain Theory, Second Edition will also appeal to anyone interested in quantitative approaches for studying supply chains. |
| forecasting supply chain management: Logistics, Supply Chain and Financial Predictive Analytics Kusum Deep, Madhu Jain, Said Salhi, 2018-08-06 This book addresses a broad range of problems commonly encountered in the fields of financial analysis, logistics and supply chain management, such as the use of big data analytics in the banking sector. Divided into twenty chapters, some of the contemporary topics discussed in the book are co-operative/non-cooperative supply chain models for imperfect quality items with trade-credit financing; a non-dominated sorting water cycle algorithm for the cardinality constrained portfolio problem; and determining initial, basic and feasible solutions for transportation problems by means of the “supply demand reparation method” and “continuous allocation method.” In addition, the book delves into a comparison study on exponential smoothing and the Arima model for fuel prices; optimal policy for Weibull distributed deteriorating items varying with ramp type demand rate and shortages; an inventory model with shortages and deterioration for three different demand rates; outlier labeling methods for medical data; a garbage disposal plant as a validated model of a fault-tolerant system; and the design of a “least cost ration formulation application for cattle”; a preservation technology model for deteriorating items with advertisement dependent demand and trade credit; a time series model for stock price forecasting in India; and asset pricing using capital market curves. The book offers a valuable asset for all researchers and industry practitioners working in these areas, giving them a feel for the latest developments and encouraging them to pursue further research in this direction. |
| forecasting supply chain management: Consumption-Based Forecasting and Planning Charles W. Chase, 2021-08-03 Discover a new, demand-centric framework for forecasting and demand planning In Consumption-Based Forecasting and Planning, thought leader and forecasting expert Charles W. Chase delivers a practical and novel approach to retail and consumer goods companies demand planning process. The author demonstrates why a demand-centric approach relying on point-of-sale and syndicated scanner data is necessary for success in the new digital economy. The book showcases short- and mid-term demand sensing and focuses on disruptions to the marketplace caused by the digital economy and COVID-19. You’ll also learn: How to improve demand forecasting and planning accuracy, reduce inventory costs, and minimize waste and stock-outs What is driving shifting consumer demand patterns, including factors like price, promotions, in-store merchandising, and unplanned and unexpected events How to apply analytics and machine learning to your forecasting challenges using proven approaches and tactics described throughout the book via several case studies. Perfect for executives, directors, and managers at retailers, consumer products companies, and other manufacturers, Consumption-Based Forecasting and Planning will also earn a place in the libraries of sales, marketing, supply chain, and finance professionals seeking to sharpen their understanding of how to predict future consumer demand. |
| forecasting supply chain management: Intermittent Demand Forecasting John E. Boylan, Aris A. Syntetos, 2021-06-02 INTERMITTENT DEMAND FORECASTING The first text to focus on the methods and approaches of intermittent, rather than fast, demand forecasting Intermittent Demand Forecasting is for anyone who is interested in improving forecasts of intermittent demand products, and enhancing the management of inventories. Whether you are a practitioner, at the sharp end of demand planning, a software designer, a student, an academic teaching operational research or operations management courses, or a researcher in this field, we hope that the book will inspire you to rethink demand forecasting. If you do so, then you can contribute towards significant economic and environmental benefits. No prior knowledge of intermittent demand forecasting or inventory management is assumed in this book. The key formulae are accompanied by worked examples to show how they can be implemented in practice. For those wishing to understand the theory in more depth, technical notes are provided at the end of each chapter, as well as an extensive and up-to-date collection of references for further study. Software developments are reviewed, to give an appreciation of the current state of the art in commercial and open source software. “Intermittent demand forecasting may seem like a specialized area but actually is at the center of sustainability efforts to consume less and to waste less. Boylan and Syntetos have done a superb job in showing how improvements in inventory management are pivotal in achieving this. Their book covers both the theory and practice of intermittent demand forecasting and my prediction is that it will fast become the bible of the field.” —Spyros Makridakis, Professor, University of Nicosia, and Director, Institute for the Future and the Makridakis Open Forecasting Center (MOFC). “We have been able to support our clients by adopting many of the ideas discussed in this excellent book, and implementing them in our software. I am sure that these ideas will be equally helpful for other supply chain software vendors and for companies wanting to update and upgrade their capabilities in forecasting and inventory management.” —Suresh Acharya, VP, Research and Development, Blue Yonder. “As product variants proliferate and the pace of business quickens, more and more items have intermittent demand. Boylan and Syntetos have long been leaders in extending forecasting and inventory methods to accommodate this new reality. Their book gathers and clarifies decades of research in this area, and explains how practitioners can exploit this knowledge to make their operations more efficient and effective.” —Thomas R. Willemain, Professor Emeritus, Rensselaer Polytechnic Institute. |
| forecasting supply chain management: Basics of Supply Chain Management Jayanta Kumar Bandyopadhyay, 2015-10-16 The practice of supply chain management has become widespread in most industries. It is now included in the curriculum of many business schools in the United States and in many countries around the world. A number of professional associations, such as the American Production and Inventory Control Society and the Supply Chain Management Society, off |
| forecasting supply chain management: Demand Forecasting for Inventory Control Nick T. Thomopoulos, 2014-12-04 This book describes the methods used to forecast the demands at inventory holding locations. The methods are proven, practical and doable for most applications, and pertain to demand patterns that are horizontal, trending, seasonal, promotion and multi-sku. The forecasting methods include regression, moving averages, discounting, smoothing, two-stage forecasts, dampening forecasts, advance demand forecasts, initial forecasts, all time forecasts, top-down, bottom-up, raw and integer forecasts, Also described are demand history, demand profile, forecast error, coefficient of variation, forecast sensitivity and filtering outliers. The book shows how the forecasts with the standard normal, partial normal and truncated normal distributions are used to generate the safety stock for the availability and the percent fill customer service methods. The material presents topics that people want and should know in the work place. The presentation is easy to read for students and practitioners; there is little need to delve into difficult mathematical relationships, and numerical examples are presented throughout to guide the reader on applications. Practitioners will be able to apply the methods learned to the systems in their locations, and the typical worker will want the book on their bookshelf for reference. The potential market is vast. It includes everyone in professional organizations like APICS, DSI and INFORMS; MBA graduates, people in industry, and students in management science, business and industrial engineering. |
| forecasting supply chain management: Lean Six Sigma for Supply Chain Management, Chapter 3 - Demand Management Impact on Lean Six Sigma Projects James Martin, 2006-10-12 This chapter comes from Lean Six Sigma for Supply Chain Management, written by a master black belt/educator. Neatly condensed into a 10 step process, this book teaches you how to apply the tenets of lean operations (from the Toyota Production System) and Six Sigma management principles to supply chain management. Author Jim Martin includes more than 200 tables and figures describing roadmaps, critical success characteristics as well as specific information necessary to fully integrate Lean Six Sigma concepts within your supply chain. |
| forecasting supply chain management: Recent Advances in Time Series Forecasting Dinesh C.S. Bisht, Mangey Ram, 2021-09-08 Future predictions are always a topic of interest. Precise estimates are crucial in many activities as forecasting errors can lead to big financial loss. The sequential analysis of data and information gathered from past to present is call time series analysis. This book covers the recent advancements in time series forecasting. The book includes theoretical as well as recent applications of time series analysis. It focuses on the recent techniques used, discusses a combination of methodology and applications, presents traditional and advanced tools, new applications, and identifies the gaps in knowledge in engineering applications. This book is aimed at scientists, researchers, postgraduate students and engineers in the areas of supply chain management, production, inventory planning, and statistical quality control. |
Supply Chain Forecasting: Methods, Tools & Best Practices
May 30, 2025 · This guide breaks down everything: what supply chain forecasting is, why it matters, the top supply chain forecasting methods, and how smart forecasting improves supply …
What is Supply Chain Forecasting? Importance + 9 Methods
Mar 26, 2025 · Supply chain forecasting involves using data and research to make predictions on all aspects of the supply chain to ensure a business runs smoothly and continues to grow.
Supply Chain Forecasting: Methods, Examples, Tips to Improve
Jan 21, 2025 · Discover the use cases and best practices of forecasting in supply chain management. Also, learn more about the best supply chain forecasting methods.
Predictive Analytics in Supply Chain - Cheat Sheet.
Predictive Analytics in supply chain management uses historical data, machine learning, and statistical algorithms to forecast future trends, optimize decision-making, and improve …
Supply Chain Forecasting: The Best All in One Guide
Apr 10, 2024 · Effective supply chain forecasting enhances the supply chain’s agility and responsiveness to market changes. It provides insights to respond proactively to changes …
Supply Chain Forecasting: Plan For Disruptions in 2025
Nov 20, 2024 · Learn from supply chain management, fulfillment, and shipping experts to find out how supply chain forecasting can make or break your store’s next quarter—and what you can …
Supply chain forecasting: Planning for disruptions | Maersk
Sep 27, 2023 · Supply chain forecasting combines data from past supply chains with insights and understandings about demand to help you make the best decisions for your business — …
What is Supply Chain Forecasting? - o9 Solutions
Supply chain forecasting is essential in e-commerce and a major component of supply chain management. Without forecasting abilities and predictions on future demand, pricing trends, …
What is Supply Chain Forecasting? Benefits, Methods & Best …
Jan 4, 2025 · Effective supply chain management (SCM) forecasting transforms chaos into clarity, helping companies anticipate needs, optimize inventory, and ensure smooth operations. But …
Supply Chain Forecasting: Methods, Challenges & Best AI Practices
Apr 2, 2025 · Supply chain forecasting is the secret weapon behind seamless logistics, cost efficiency, and customer satisfaction. But how do businesses predict demand in a world full of …
Supply Chain Forecasting: Methods, Tools & Best Practices
May 30, 2025 · This guide breaks down everything: what supply chain forecasting is, why it matters, the top supply chain forecasting methods, and how smart forecasting improves supply …
What is Supply Chain Forecasting? Importance + 9 Methods
Mar 26, 2025 · Supply chain forecasting involves using data and research to make predictions on all aspects of the supply chain to ensure a business runs smoothly and continues to grow.
Supply Chain Forecasting: Methods, Examples, Tips to Improve
Jan 21, 2025 · Discover the use cases and best practices of forecasting in supply chain management. Also, learn more about the best supply chain forecasting methods.
Predictive Analytics in Supply Chain - Cheat Sheet.
Predictive Analytics in supply chain management uses historical data, machine learning, and statistical algorithms to forecast future trends, optimize decision-making, and improve …
Supply Chain Forecasting: The Best All in One Guide
Apr 10, 2024 · Effective supply chain forecasting enhances the supply chain’s agility and responsiveness to market changes. It provides insights to respond proactively to changes …
Supply Chain Forecasting: Plan For Disruptions in 2025
Nov 20, 2024 · Learn from supply chain management, fulfillment, and shipping experts to find out how supply chain forecasting can make or break your store’s next quarter—and what you can …
Supply chain forecasting: Planning for disruptions | Maersk
Sep 27, 2023 · Supply chain forecasting combines data from past supply chains with insights and understandings about demand to help you make the best decisions for your business — …
What is Supply Chain Forecasting? - o9 Solutions
Supply chain forecasting is essential in e-commerce and a major component of supply chain management. Without forecasting abilities and predictions on future demand, pricing trends, …
What is Supply Chain Forecasting? Benefits, Methods & Best …
Jan 4, 2025 · Effective supply chain management (SCM) forecasting transforms chaos into clarity, helping companies anticipate needs, optimize inventory, and ensure smooth operations. But …
Supply Chain Forecasting: Methods, Challenges & Best AI Practices
Apr 2, 2025 · Supply chain forecasting is the secret weapon behind seamless logistics, cost efficiency, and customer satisfaction. But how do businesses predict demand in a world full of …
