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| demand planning and forecasting in 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. |
| demand planning and forecasting in 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. |
| demand planning and forecasting in 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. |
| demand planning and forecasting in supply chain management: Fundamentals of Demand Planning and Forecasting Chaman L. Jain, Jack Malehorn, 2012 |
| demand planning and forecasting in supply chain management: Next Generation Demand Management Charles W. Chase, 2016-08-01 A practical framework for revenue-boosting supply chain management Next Generation Demand Management is a guidebook to next generation Demand Management, with an implementation framework that improves revenue forecasts and enhances profitability. This proven approach is structured around the four key catalysts of an efficient planning strategy: people, processes, analytics, and technology. The discussion covers the changes in behavior, skills, and integrated processes that are required for proper implementation, as well as the descriptive and predictive analytics tools and skills that make the process sustainable. Corporate culture changes require a shift in leadership focus, and this guide describes the necessary champion with the authority to drive adoption and stress accountability while focusing on customer excellence. Real world examples with actual data illustrate important concepts alongside case studies highlighting best-in-class as well as startup approaches. Reliable forecasts are the primary product of demand planning, a multi-step operational supply chain management process that is increasingly seen as a survival tactic in the changing marketplace. This book provides a practical framework for efficient implementation, and complete guidance toward the supplementary changes required to reap the full benefit. Learn the key principles of demand driven planning Implement new behaviors, skills, and processes Adopt scalable technology and analytics capabilities Align inventory with demand, and increase channel profitability Whether your company is a large multinational or an early startup, your revenue predictions are only as strong as your supply chain management system. Implementing a proven, more structured process can be the catalyst your company needs to overcome that one lingering obstacle between forecast and goal. Next Generation Demand Management gives you the framework for building the foundation of your growth. |
| demand planning and forecasting in supply chain management: Demand-Driven Forecasting Charles W. Chase, 2009-07-23 Praise for Demand-Driven Forecasting A Structured Approach to Forecasting There are authors of advanced forecasting books who take an academic approach to explaining forecast modeling that focuses on the construction of arcane algorithms and mathematical proof that are not very useful for forecasting practitioners. Then, there are other authors who take a general approach to explaining demand planning, but gloss over technical content required of modern forecasters. Neither of these approaches is well-suited for helping business forecasters critically identify the best demand data sources, effectively apply appropriate statistical forecasting methods, and properly design efficient demand planning processes. In Demand-Driven Forecasting, Chase fills this void in the literature and provides the reader with concise explanations for advanced statistical methods and credible business advice for improving ways to predict demand for products and services. Whether you are an experienced professional forecasting manager, or a novice forecast analyst, you will find this book a valuable resource for your professional development. —Daniel Kiely, Senior Manager, Epidemiology, Forecasting & Analytics, Celgene Corporation Charlie Chase has given forecasters a clear, responsible approach for ending the timeless tug of war between the need for 'forecast rigor' and the call for greater inclusion of 'client judgment.' By advancing the use of 'domain knowledge' and hypothesis testing to enrich base-case forecasts, he has empowered professional forecasters to step up and impact their companies' business results favorably and profoundly, all the while enhancing the organizational stature of forecasters broadly. —Bob Woodard, Vice President, Global Consumer and Customer Insights, Campbell Soup Company |
| demand planning and forecasting in supply chain management: Managing Supply Chain And Logistics: Competitive Strategy For A Sustainable Future Ling Li, 2014-07-18 Managing Supply Chain and Logistics: Competitive Strategy for a Sustainable Future explores practical ways of investing in a sustainable future through real-world cases which demonstrate various supply chain management strategies and tactics. By applying viable value creation strategies, operational models, decision-making techniques, and information technology, the author provides in-depth analyses of new initiatives such as collaborative planning, forecasting, and replenishment (CPFR); demonstrates competitive approaches to managing flows of material, information and fund in supply chain; and illustrates creative methods to apply data science and business intelligence. This book also promotes cross-functional decision-making, problem solving skills and offers a feasible approach to managing a volatile business. Readers will find this book a valuable resource to solve supply chain management practical problems with a sustainable future in mind. |
| demand planning and forecasting in 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. |
| demand planning and forecasting in 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. |
| demand planning and forecasting in 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. |
| demand planning and forecasting in 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. |
| demand planning and forecasting in supply chain management: Flowcasting the Retail Supply Chain André J. Martin, Mike Doherty, Jeff Harrop, 2006 Despite the myraid supply chain management approaches that have been spawned over the last decade or more, retailers have been unable to put a dent in out-of-stocks at store level, Why is that? Andre' Martin, Mike Doherty, and Jeff Harrop- all experienced practitioners, consultants, and implementation specialists in the field of time-phased supply chain planning - have been asking themselves the same question and have come to the conclusion that 1) far less forcasting is needed in the retail supply chain and 2) the only forecasting that needs to happen is at the store shelf. Flowcasting the Retail Supply Chain outlines a breakthrough approach for supply chain planning that mimics the natural flow of products from the factory to the consumer. It is the first and only approach that truly puts the consumer front and center when planning the supply chain. |
| demand planning and forecasting in supply chain management: Demand-Driven Forecasting Charles W. Chase, 2013-08-19 An updated new edition of the comprehensive guide to better business forecasting Many companies still look at quantitative forecasting methods with suspicion, but a new awareness is emerging across many industries as more businesses and professionals recognize the value of integrating demand data (point-of-sale and syndicated scanner data) into the forecasting process. Demand-Driven Forecasting equips you with solutions that can sense, shape, and predict future demand using highly sophisticated methods and tools. From a review of the most basic forecasting methods to the most advanced and innovative techniques in use today, this guide explains demand-driven forecasting, offering a fundamental understanding of the quantitative methods used to sense, shape, and predict future demand within a structured process. Offering a complete overview of the latest business forecasting concepts and applications, this revised Second Edition of Demand-Driven Forecasting is the perfect guide for professionals who need to improve the accuracy of their sales forecasts. Completely updated to include the very latest concepts and methods in forecasting Includes real case studies and examples, actual data, and graphical displays and tables to illustrate how effective implementation works Ideal for CEOs, CFOs, CMOs, vice presidents of supply chain, vice presidents of demand forecasting and planning, directors of demand forecasting and planning, supply chain managers, demand planning managers, marketing analysts, forecasting analysts, financial managers, and any other professional who produces or contributes to forecasts Accurate forecasting is vital to success in today's challenging business climate. Demand-Driven Forecasting offers proven and effective insight on making sure your forecasts are right on the money. |
| demand planning and forecasting in 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. |
| demand planning and forecasting in 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. |
| demand planning and forecasting in supply chain management: Demand Management Best Practices Colleen Crum, George E. Palmatier, 2003-06-15 Effective demand management is becoming critical to acompany's profitability. Demand Management BestPractices: Process, Principles, and Collaborationprovides best practice solutions that will improveoverall business performance for supply chain partnersand all functions within a company impacted by the demandmanagement process. The ...... |
| demand planning and forecasting in 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 |
| demand planning and forecasting in supply chain management: Supply Chain Management and Advanced Planning Hartmut Stadtler, Christoph Kilger, 2007-10-25 With a wealth of updated material, rewritten chapters and additional case studies, this fourth edition of a hugely important work gives a broad and up-to-date overview of the concepts underlying APS. Special emphasis is given to modeling supply chains and implementing APS successfully in industrial contexts. What’s more, readers’ understanding is enhanced by several case studies covering a wide range of industrial sectors. What makes this book so crucial is that Supply Chain Management, Enterprise Resources Planning (ERP), and Advanced Planning Systems (APS) are concepts that must be mastered in order to organize and optimize the flow of goods, materials, information and funds. Here, leading experts provide insights into the concepts underlying APS. |
| demand planning and forecasting in 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. |
| demand planning and forecasting in supply chain management: Business Forecasting Michael Gilliland, Len Tashman, Udo Sglavo, 2021-05-11 Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting. You will find: Discussions on deep learning in forecasting, including current trends and challenges Explorations of neural network-based forecasting strategies A treatment of the future of artificial intelligence in business forecasting Analyses of forecasting methods, including modeling, selection, and monitoring In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 opinion/editorial Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting. Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts. |
| demand planning and forecasting in supply chain management: Forecasting with Judgment George Wright, Paul Goodwin, 1998-04-22 All forecasting involves human judgment and many forecasts are based exclusively on judgment. This book brings together the latest research into the role of judgment in forecasting. It considers questions such as: How good is human judgment? Do judgmental forecasters use information efficiently? What techniques are available to help groups of people to produce better forecasts? What reasoning processes are employed by people when they make judgments about uncertainty? When should judgment be used in combination with statistical methods? The role of judgment in strategic planning, financial forecasting, and sales forecasting is considered from both theoretical and practical perspectives. It will be of interest both to professional forecasters and academics and should stimulate further research into the processes involved in making judgmental forecasts and how these processes can be improved. |
| demand planning and forecasting in supply chain management: Fundamentals of Demand Planning and Forecasting Chaman L. Jain, 2020-04 This is the most comprehensive book written in the area of demand planning and forecasting, covering practically every topic which a demand planner needs to know. It discusses not only the different models of forecasting in simple and layman terms, but also how to use forecasts effectively in business planning. It covers forecasting processes from Silo to Consensus Forecasting to Sales & Operation Planning(S&OP) to Collaborative Planning, Forecasting and Replenishment (CPFR) to Integrated Business Planning (IBP), and describes how each one improves over the other. It gives many real life cases and examples to make the point. No matter how accurate forecasts are they have no value unless they are used. For that, it explains how to report, present and sell forecasts to management. Nothing improves unless it is measured. It discusses in detail key performance indicators, which are used or should be used in business. Also, what we can do to improve forecasts. Above all, it brings out a number of worst practices, with the thinking once companies recognize what they are doing wrong, they will do something about them. Also, the book discusses the criteria for selecting a forecasting & planning package or system and more. |
| demand planning and forecasting in 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. |
| demand planning and forecasting in 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. |
| demand planning and forecasting in 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. |
| demand planning and forecasting in 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 |
| demand planning and forecasting in 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. |
| demand planning and forecasting in supply chain management: Manager's Guide to Forecasting David M. Georgoff, Robert G. Murdick, 1986-01-01 |
| demand planning and forecasting in 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 |
| demand planning and forecasting in 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 |
| demand planning and forecasting in supply chain management: Supply Chain Management and Advanced Planning Hartmut Stadtler, Christoph Kilger, 2005-12-06 ... To sum up, there should be a copy on the bookshelf of all engineers responsible for detailed planning of the Product Delivery Process (PDP). The Editors highlight the impressive gains reported by companies exploiting the potential of coordinating organizational units and integrating information flows and planning efforts along a supply chain. This publication is strong on coordination and planning. It is therefore recommended as an up-to-date source book for these particular aspects of SCM. International Journal of Production Research 2001/Vol. 39/13 |
| demand planning and forecasting in supply chain management: Improving Forecasts with Integrated Business Planning Ganesh Sankaran, 2019 This book provides both a broad overview of the forecasting process, covering technological and human aspects alike, and deep insights into algorithms and platform functionalities in the IBP toolbox required to maximize forecast accuracy. Rich in technical and business explanations, it addresses short-, medium- and long-term forecasting processes using functionalities available in demand planning and demand sensing. There are also several theoretical concepts underpinning the algorithms discussed; these are explained with numerical examples to help demystify the IBP forecasting toolbox. Beyond standard procedures, the book also discusses custom approaches (e.g. new segmentation criteria, new outlier detection and correction methods) and new methods (e.g. the use of Markov chains for forecasting sporadic demands), etc. It subsequently benchmarks common practices using these innovative approaches and discusses the results. As measurement is an important precondition for improvement, an entire chapter is devoted to discussing process improvement and value using the Six Sigma methodology. In closing, the book provides several useful tips and tricks that should come in handy during project implementation. . |
| demand planning and forecasting in supply chain management: Advanced Planning and Scheduling in Manufacturing and Supply Chains Yuri Mauergauz, 2016-04-25 This book is a guide to modern production planning methods based on new scientific achievements and various practical planning rules of thumb. Several numerical examples illustrate most of the calculation methods, while the text includes a set of programs for calculating production schedules and an example of a cloud-based enterprise resource planning (ERP) system. Despite the relatively large number of books dedicated to this topic, Advanced Planning and Scheduling is the first book of its kind to feature such a wide range of information in a single work, a fact that inspired the author to write this book and publish an English translation. This work consists of two parts, with the first part addressing the design of reference and mathematical models, bottleneck models and multi-criteria models and presenting various sample models. It describes demand-forecasting methods and also includes considerations for aggregating forecasts. Lastly, it provides reference information on methods for data stocking and sorting. The second part of the book analyzes various stock planning models and the rules of safety stock calculation, while also considering the stock traffic dynamics in supply chains. Various batch computation methods are described in detail, while production planning is considered on several levels, including supply planning for customers, master planning, and production scheduling. This book can be used as a reference and manual for current planning methods. It is aimed at production planning department managers, company information system specialists, as well as scientists and PhD students conducting research in production planning. It will also be a valuable resource for students at universities of applied sciences. |
| demand planning and forecasting in supply chain management: Management Intelligent Systems Jorge Casillas, Francisco J. Martínez-López, Juan Manuel Corchado Rodríguez, 2012-07-11 The 2012 International Symposium on Management Intelligent Systems is believed to be the first international forum to present and discuss original, rigorous and significant contributions on Artificial Intelligence-based (AI) solutions—with a strong, practical logic and, preferably, with empirical applications—developed to aid the management of organizations in multiple areas, activities, processes and problem-solving; i.e., what we propose to be named as Management Intelligent Systems (MiS). The three-day event aimed to bring together researchers interested in this promising interdisciplinary field who came from areas as varied as management, marketing, and business in general, computer science, artificial intelligence, statistics, etc. This volume presents the proceedings of these activities in a collection of contributions with many original approaches. They address diverse Management and Business areas of application such as decision support, segmentation of markets, CRM, product design, service personalization, organizational design, e-commerce, credit scoring, workplace integration, innovation management, business database analysis, workflow management, location of stores, etc. A wide variety of AI techniques have been applied to these areas such as multi-objective optimization and evolutionary algorithms, classification algorithms, ant algorithms, fuzzy rule-based systems, intelligent agents, Web mining, neural networks, Bayesian models, data warehousing, rough sets, etc. The symposium was organized by the Soft Computing and Intelligent Information Systems Research Group (http://sci2s.ugr.es) of the University of Granada (Spain) and the Bioinformatics, Intelligent System and Educational Technology Research Group (http://bisite.usal.es/) of the University of Salamanca (Spain). The present edition is held in Salamanca (Spain) on July 11-13, 2012. |
| demand planning and forecasting in 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. |
| demand planning and forecasting in supply chain management: Demand and Supply Integration Mark A. Moon, 2013 |
| demand planning and forecasting in supply chain management: Supply Chain Strategy and Financial Metrics Bram DeSmet, 2018-05-03 Supply Chain Strategy and Financial Metrics is a step-by-step guide to balancing the triangle of service, cost and cash which is the essence of supply chain management. Supply chains have become increasingly strategy-driven, and this Supply Chain Triangle approach puts the supply chain at the heart of the strategy discussion instead of seeing it as a result. Supply Chain Strategy and Financial Metrics fully reflects the 'inventory' or 'working capital' angle and examines the optimisation of the supply chain and Return on Capital Employed. Including case studies of Barco, Casio and a selection of food retail companies, this book covers building a strategy-driven KPI dashboard, target setting and financial benchmarking. Regular examples and diagrams illustrate how different types of strategies lead to different trade-offs in the Supply Chain Triangle. This ground-breaking text links supply chain, strategy and finance through financial metrics, therefore creating value for the shareholder. Online supporting resources include worksheets covering basic financial concepts such as cash flow and working capital, with example data sets and guidelines/exercises to make it interactive. |
| demand planning and forecasting in supply chain management: Handbook of Quantitative Supply Chain Analysis David Simchi-Levi, S. David Wu, Zuo-Jun Shen, 2004-05-31 The Handbook is a comprehensive research reference that is essential for anyone interested in conducting research in supply chain. Unique features include: -A focus on the intersection of quantitative supply chain analysis and E-Business, -Unlike other edited volumes in the supply chain area, this is a handbook rather than a collection of research papers. Each chapter was written by one or more leading researchers in the area. These authors were invited on the basis of their scholarly expertise and unique insights in a particular sub-area, -As much attention is given to looking back as to looking forward. Most chapters discuss at length future research needs and research directions from both theoretical and practical perspectives, -Most chapters describe in detail the quantitative models used for analysis and the theoretical underpinnings; many examples and case studies are provided to demonstrate how the models and the theoretical insights are relevant to real situations, -Coverage of most state-of-the-art business practices in supply chain management. |
| demand planning and forecasting in supply chain management: Distribution Planning and Control David Frederick Ross, 2015-05-14 This third edition provides operations management students, academics and professionals with a fully up-to-date, practical and comprehensive sourcebook in the science of distribution and Supply Chain Management (SCM). Its objective is not only to discover the roots and detail the techniques of supply and delivery channel networks, but also to explore the impact of the merger of SCM concepts and information technologies on all aspects of internal business and supply channel management. This textbook provides a thorough and sometimes analytical view of the topic, while remaining approachable from the standpoint of the reader. Although the text is broad enough to encompass all the management activities found in today's logistics and distribution channel organizations, it is detailed enough to provide the reader with a thorough understanding of essential strategic and tactical planning and control processes, as well as problem-solving techniques that can be applied to everyday operations. Distribution Planning and Control: Managing in the Era of Supply Chain Management, 3rd Ed. is comprised of fifteen chapters, divided into five units. Unit 1 of the text, The SCM and Distribution Management Environment, sets the background necessary to understand today’s supply chain environment. Unit 2, SCM Strategies, Channel Structures and Demand Management, reviews the activities involved in performing strategic planning, designing channel networks, forecasting and managing channel demand. Unit 3, Inventory Management in the Supply Chain Environment, provides an in-depth review of managing supply chain inventories, statistical inventory management, and inventory management in a multiechelon channel environment. Unit 4, Supply Chain Execution, traces the translation of the strategic supply chain plans into detailed customer and supplier management, warehousing and transportation operations activities. Finally Unit 5, International Distribution and Supply Chain Technologies, concludes the text by exploring the role of two integral elements of SCM: international distribution management and the deployment of information technologies in the supply chain environment. Each chapter includes summary questions and problems to challenge readers to their knowledge of concepts and topics covered. Additionally supplementary materials for instructors are also available as tools for learning reinforcement. |
| demand planning and forecasting in supply chain management: Advanced Planning in Supply Chains Hartmut Stadtler, Bernhard Fleischmann, Martin Grunow, Herbert Meyr, Christopher Sürie, 2011-10-26 Advanced Planning Systems (APS) are a key enabler of the supply chain management. However, APS are highly complex and difficult to comprehend. This book provides students with valuable insights into the capabilities of state-of-the-art APS and bridges the gap between theory (model building and solution algorithms), software implementation, and adaptation to a specific business case. Our business case – named Frutado – provides a unifying framework for illustrating the different planning tasks that arise in a company – from demand planning to the distribution of goods – that are addressed by APS. In addition, the book guides through interactive learning units which have been created and recorded for each module of SAP ́s APS. Learning units can be downloaded free of charge ready to be displayed in a web browser. Together, the textbook and the learning units provide the required skills to better understand the concepts, models, and algorithms underlying today ́s APS. |
Demand: How It Works Plus Economic Determinants and the Demand …
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Keywords: Supply Chain Management · Demand forecasting · Random Forest · Artificial Neural Network 1 Introduction In the era of greater demand uncertainty, higher supply risk, and …
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Demand visibility is a vital component of an effective supply chain. • Forecast accuracy at the primitive SKU level is critical for proper allocation of supply chain resources. • Inaccurate …
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