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| forecasting and inventory management: Service Parts Management Nezih Altay, Lewis A. Litteral, 2011-03-24 With the pressure of time-based competition increasing, and customers demanding faster service, availability of service parts becomes a critical component of manufacturing and servicing operations. Service Parts Management first focuses on intermittent demand forecasting and then on the management of service parts inventories. It guides researchers and practitioners in finding better management solutions to their problems and is both an excellent reference for key concepts and a leading resource for further research. Demand forecasting techniques are presented for parametric and nonparametric approaches, and multi echelon cases and inventory pooling are also considered. Inventory control is examined in the continuous and periodic review cases, while the following are all examined in the context of forecasting: • error measures, • distributional assumptions, and • decision trees. Service Parts Management provides the reader with an overview and a detailed treatment of the current state of the research available on the forecasting and inventory management of items with intermittent demand. It is a comprehensive review of service parts management and provides a starting point for researchers, postgraduate students, and anyone interested in forecasting or managing inventory. |
| forecasting and inventory 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 and inventory management: Demand Forecasting and Inventory Control Colin Lewis, 2012-05-23 This practical book covers the forecasting- and inventory control methods used in commercial, retail and manufacturing companies. Colin Lewis explains the theory and practice of current demand forecasting methods, the links between forecasts produced as a result of analysing demand data and the various methods by which this information, together with cost information on stocked items, is used to establish the controlling parameters of the most commonly used inventory control systems. The demand forecasting section of the book concentrates on the family of short-term forecasting models based on the exponentially weighted average and its many variants and also a group of medium-term forecasting models based on a time series, curve fitting approach. The inventory control sections investigate the re-order level policy and re-order cycle policy and indicate how these two processes can be operated at minimum cost while offering a high level of customer service. |
| forecasting and inventory 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 and inventory 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 and inventory management: Service Parts Management Nezih Altay, Lewis A. Litteral, 2011-04-08 With the pressure of time-based competition increasing, and customers demanding faster service, availability of service parts becomes a critical component of manufacturing and servicing operations. Service Parts Management first focuses on intermittent demand forecasting and then on the management of service parts inventories. It guides researchers and practitioners in finding better management solutions to their problems and is both an excellent reference for key concepts and a leading resource for further research. Demand forecasting techniques are presented for parametric and nonparametric approaches, and multi echelon cases and inventory pooling are also considered. Inventory control is examined in the continuous and periodic review cases, while the following are all examined in the context of forecasting: • error measures, • distributional assumptions, and • decision trees. Service Parts Management provides the reader with an overview and a detailed treatment of the current state of the research available on the forecasting and inventory management of items with intermittent demand. It is a comprehensive review of service parts management and provides a starting point for researchers, postgraduate students, and anyone interested in forecasting or managing inventory. |
| forecasting and inventory management: Inventory Management Explained David J. Piasecki, 2009-01-01 Inventory Management isn't easy. If it were, more companies would be good at it. But being competent at managing your inventory isn't all that difficult either. Inventory Management Explained helps readers build a solid understanding of the key planning aspects of inventory management. It does this by clearly explaining what inventory management is, but then goes well beyond typical inventory management books by tearing apart the calculations and logic we use in inventory management and exposing the hidden (or not so hidden) flaws and limitations. It then builds on this by showing readers how they can use their understanding of inventory management and their specific business needs to modify these calculations or develop their own calculations to more effectively manage their inventory. The emphasis on practical solutions means readers can actually use what they've learned.For those new to inventory management, the author includes highly detailed explanations and numerous examples. Instead of archaic mathematical syntax, the author explains the calculations in plain English and uses Excel formulas and spreadsheet examples for many of them.For the experienced practitioner, the author provides insights and a level of detail they likely have not previously experienced. Overall, Inventory Management Explained does actually explain inventory management, and in doing so, exposes the good, the bad, and the ugly aspects of it. But more importantly, it leaves the readers knowing enough to be able to start making smart decisions about how they manage their inventory. |
| forecasting and inventory management: Inventory Analytics Roberto Rossi, 2021-05-24 Inventory Analytics provides a comprehensive and accessible introduction to the theory and practice of inventory control – a significant research area central to supply chain planning. The book outlines the foundations of inventory systems and surveys prescriptive analytics models for deterministic inventory control. It further discusses predictive analytics techniques for demand forecasting in inventory control and also examines prescriptive analytics models for stochastic inventory control. Inventory Analytics is the first book of its kind to adopt a practicable, Python-driven approach to illustrating theories and concepts via computational examples, with each model covered in the book accompanied by its Python code. Originating as a collection of self-contained lectures, Inventory Analytics will be an indispensable resource for practitioners, researchers, teachers, and students alike. |
| forecasting and inventory management: Retail Analytics Anna-Lena Sachs, 2014-12-10 This book addresses the challenging task of demand forecasting and inventory management in retailing. It analyzes how information from point-of-sale scanner systems can be used to improve inventory decisions, and develops a data-driven approach that integrates demand forecasting and inventory management for perishable products, while taking unobservable lost sales and substitution into account in out-of-stock situations. Using linear programming, a new inventory function that reflects the causal relationship between demand and external factors such as price and weather is proposed. The book subsequently demonstrates the benefits of this new approach in numerical studies that utilize real data collected at a large European retail chain. Furthermore, the book derives an optimal inventory policy for a multi-product setting in which the decision-maker faces an aggregated service level target, and analyzes whether the decision-maker is subject to behavioral biases based on real data for bakery products. |
| forecasting and inventory management: Essentials of Inventory Management Max Muller, 2011 Does inventory management sometimes feel like a waste of time? Learn how to maximize your inventory management process to use it as a tool for making important business decisions. |
| forecasting and inventory management: Focus Forecasting Bernard T. Smith, 1984 |
| forecasting and inventory management: Retail Analytics Anna-Lena Sachs, 2015 This book addresses the challenging task of demand forecasting and inventory management in retailing. It analyzes how information from point-of-sale scanner systems can be used to improve inventory decisions, and develops a data-driven approach that integrates demand forecasting and inventory management for perishable products, while taking unobservable lost sales and substitution into account in out-of-stock situations. Using linear programming, a new inventory function that reflects the causal relationship between demand and external factors such as price and weather is proposed. The book subsequently demonstrates the benefits of this new approach in numerical studies that utilize real data collected at a large European retail chain. Furthermore, the book derives an optimal inventory policy for a multi-product setting in which the decision-maker faces an aggregated service level target, and analyzes whether the decision-maker is subject to behavioral biases based on real data for bakery products. |
| forecasting and inventory 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 and inventory management: Complex System Maintenance Handbook Khairy Ahmed Helmy Kobbacy, D. N. Prabhakar Murthy, 2008-04-18 This utterly comprehensive work is thought to be the first to integrate the literature on the physics of the failure of complex systems such as hospitals, banks and transport networks. It has chapters on particular aspects of maintenance written by internationally-renowned researchers and practitioners. This book will interest maintenance engineers and managers in industry as well as researchers and graduate students in maintenance, industrial engineering and applied mathematics. |
| forecasting and inventory management: Inventory Control Sven Axsäter, 2015-07-06 This third edition, which has been fully updated and now includes improved and extended explanations, is suitable as a core textbook as well as a source book for industry practitioners. It covers traditional approaches for forecasting, lot sizing, determination of safety stocks and reorder points, KANBAN policies and Material Requirements Planning. It also includes recent advances in inventory theory, for example, new techniques for multi-echelon inventory systems and Roundy's 98 percent approximation. The book also considers methods for coordinated replenishments of different items, and various practical issues in connection with industrial implementation. Other topics covered in Inventory Control include: alternative forecasting techniques, material on different stochastic demand processes and how they can be fitted to empirical data, generalized treatment of single-echelon periodic review systems, capacity constrained lot sizing, short sections on lateral transshipments and on remanufacturing, coordination and contracts. As noted, the explanations have been improved throughout the book and the text also includes problems, with solutions in an appendix. |
| forecasting and inventory management: The Definitive Guide to Inventory Management Matthew A. Waller, Terry L. Esper, 2014 Inventory management is a critical component of supply chain management, addressing how much inventory should be carried across the supply chain, where to carry it, and how much safety stock is required to meet the organization's cost and customer service objectives. Now, there's an authoritative and comprehensive guide to best-practice inventory management in any organization. Authored by world-class experts in collaboration with the Council of Supply Chain Management Professionals (CSCMP), this text gives students and practitioners a thorough understanding of each leading approach to managing supply chain inventories, and the variables that drive decisions about inventory levels. It discusses the fundamental need for inventory, how product value affects inventory decisions, how to determine inventory levels, how the number of inventory locations affects inventory levels, and new approaches to reducing inventory. Coverage includes: Basic inventory management goals, roles, concepts, purposes, and terminology, including periodic inventory, perpetual inventory, safety stock, cycle count, ABC analysis, carrying and stockout costs, and more Key inventory management elements, processes, and interactions Principles/strategies for establishing efficient and effective inventory flows The critical role of technology in inventory planning and management New approaches to reducing inventory including postponement, vendor-managed inventories, cross-docking, and quick response systems Understanding essential trade-offs between inventory and transportation costs, including the impact of carrying costs Requirements and challenges of global inventory management Best practices for assessing inventory management performance using standard metrics and frameworks |
| forecasting and inventory 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 and inventory 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 and inventory management: Rapid Modelling for Increasing Competitiveness Gerald Reiner, 2009-06-13 A Perspective on Two Decades of Rapid Modeling It is an honor for me to be asked to write a foreword to the Proceedings of the 1st Rapid Modeling Conference. In 1987, when I coined the term “Rapid Modeling” to denote queuing modeling of manufacturing systems, I never imagined that two decades later there would be an international conference devoted to this topic! I am delighted to see that there will be around 40 presentations at the conference by leading researchers from aroundthe world, and about half of these presentationsare represented by written papers published in this book. I congratulate the conference organizers and program committee on the success of their efforts to hold the ?rst ever conference on Rapid Modeling. Attendees at this conferencemight?nd it interesting to learn about the history of the term Rapid Modeling in the context it is used here. During the fall of 1986 I was invited to a meeting at the Headquarters of the Society of Manufacturing Engineers (SME) in Dearborn, Michigan. By that time I had successfully demonstrated s- eral industry applications of queuing network models at leading manufacturers in the USA. Although in principle the use of queuing networks to model manufact- ing systems was well known in the OR/MS community and many papers had been published,the actual use of suchmodelsby manufacturingprofessionalswas almost nonexistent. |
| forecasting and inventory management: Inventory and Supply Chain Management with Forecast Updates Suresh P. Sethi, Houmin Yan, Hanqin Zhang, 2006-03-30 Real problems are formulated into tractable mathematical models, which allow for an analysis of various approaches. Attention is focused on solutions. Provides a unified treatment of the models discussed , presents a critique of the existing results, and points out potential research directions. |
| forecasting and inventory management: Best Practice in Inventory Management Tony Wild, 2017-11-02 Best Practice in Inventory Management 3E offers a simple, entirely jargon-free and yet comprehensive introduction to key aspects of inventory management. Good management of inventory enables companies to improve their customer service, cash flow and profitability. This text outlines the basic techniques, how and where to apply them, and provides advice to ensure they work to provide the desired effect in practice. With an unrivalled balance between qualitative and quantitative aspects of inventory control, experienced consultant Tony Wild portrays the many ways in which stock management is more nuanced than simple number crunching and mathematical modelling. This long-awaited new edition has been substantially and thoroughly updated. The product of decades of experience and expertise in the field, Best Practice in Inventory Management 3E provides students and professionals, even those with no prior experience in the area, an unbiased and honest picture of what it takes to effectively manage stocks in a firm. |
| forecasting and inventory management: Fundamentals of Demand Planning and Forecasting Chaman L. Jain, Jack Malehorn, 2012 |
| forecasting and inventory 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. |
| forecasting and inventory 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 and inventory 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 and inventory management: Inventory management , 1987 |
| forecasting and inventory management: Forecasting for Inventory Control with Exponential Smoothing Ralph D. Snyder, Anne Koehler, Keith Ord, 1999 |
| forecasting and inventory management: Demand Forecasting and Inventory Control Colin David Lewis, Institute of Operations Management, 1997 A practical guide to the forecasting and inventory control methods used in commercial, retail and manufacturing companies. Colin Lewis explains the theory and practice of demand forecasting methods, the links between forecasts produced as a result of analyzing demand data and the various methods by which this information, together with cost information on stocked items, is used to establish the controlling parameters of the most commonly-used inventory control systems. |
| forecasting and inventory 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 and inventory management: Bricks Matter Lora M. Cecere, Charles W. Chase, 2012-12-20 Get proven guidance to build a market-driven supply chain management system Supply chain management processes have gradually shifted from a supply-driven focus to a demand-driven one in order to better synchronize demand and supply signals. Bricks Matter shows you how you can identify market risks and opportunities and translate these into winning tactics. Business cases highlight how business leaders are winning through market-driven approaches. Helps you understand how to apply the emerging world of predictive analytics for the better management of value networks Includes business cases illustrating the market-driven approach Reveals how businesses can identify market risks and translate these into supply-side tactics As companies transition from demand-driven to market-driven approach, the focus in organizations shifts from one of vertical excellence to building strong market-to-market horizontal processes. Improve revenue by increasing market share, improve profit margins, and maintain high levels of customer service with the indispensable guidance found in Bricks Matter. |
| forecasting and inventory management: Demand Forecasting and Inventory Control , This practical book covers the forecasting- and inventory control methods used in commercial, retail and manufacturing companies. Colin Lewis explains the theory and practice of current demand forecasting methods, the links between forecasts produced as a result of analysing demand data and the various methods by which this information, together with cost information on stocked items, is used to establish the controlling parameters of the most commonly used inventory control systems. The demand forecasting section of the book concentrates on the family of short-term forecasting models based on the exponentially weighted average and its many variants and also a group of medium-term forecasting models based on a time series, curve fitting approach. The inventory control sections investigate the re-order level policy and re-order cycle policy and indicate how these two processes can be operated at minimum cost while offering a high level of customer service. |
| forecasting and inventory 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. |
| forecasting and inventory management: Inventory and Production Management in Supply Chains Edward A. Silver, David F. Pyke, Douglas J. Thomas, 2016-12-19 Authored by a team of experts, the new edition of this bestseller presents practical techniques for managing inventory and production throughout supply chains. It covers the current context of inventory and production management, replenishment systems for managing individual inventories within a firm, managing inventory in multiple locations and firms, and production management. The book presents sophisticated concepts and solutions with an eye towards today’s economy of global demand, cost-saving, and rapid cycles. It explains how to decrease working capital and how to deal with coordinating chains across boundaries. |
| forecasting and inventory 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 and inventory management: Inventory Management Demystified A.D. Dear, 1990-02-28 Despite the widespread use of computer based inventory control systems, most companies are aware that they often cannot meet their customer demand, while still suspecting that their stock levels are higher than they should be. |
| forecasting and inventory management: Transportation, Logistics, and Supply Chain Management in Home Healthcare: Emerging Research and Opportunities Euchi, Jalel, 2019-09-27 With advancing technology and the digitization of the modern era, businesses are required to adopt the latest innovations computer science and information technology have to offer. The field of home healthcare must utilize the finest available operations management systems in order to remain relevant in a globalized world while also providing the best treatment possible to its patients. Transportation, Logistics, and Supply Chain Management in Home Healthcare: Emerging Research and Opportunities is an essential reference source that provides theoretical and empirical research on logistics management and transportation and scheduling routing and their applications in home healthcare and logistics. While highlighting topics such as hybrid energy, scheduling optimization, and forecasting techniques, this book is ideally designed for outpatient doctors and nurses, transportation professionals, logisticians, home healthcare managers, computer scientists, logistic engineers, health practitioners, academicians, researchers, and students. |
| forecasting and inventory management: Essentials of Monte Carlo Simulation Nick T. Thomopoulos, 2012-12-19 Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques. The theories presented in this text deal with systems that are too complex to solve analytically. As a result, readers are given a system of interest and constructs using computer code, as well as algorithmic models to emulate how the system works internally. After the models are run several times, in a random sample way, the data for each output variable(s) of interest is analyzed by ordinary statistical methods. This book features 11 comprehensive chapters, and discusses such key topics as random number generators, multivariate random variates, and continuous random variates. Over 100 numerical examples are presented as part of the appendix to illustrate useful real world applications. The text also contains an easy to read presentation with minimal use of difficult mathematical concepts. Very little has been published in the area of computer Monte Carlo simulation methods, and this book will appeal to students and researchers in the fields of Mathematics and Statistics. |
| forecasting and inventory management: Distribution David F. Ross, 2012-12-06 It has been said that every generation of historians seeks to rewrite what a previous generation had established as the standard interpretations of the motives and circumstances shaping the fabric of historical events. It is not that the facts of history have changed. No one will dispute that the battle of Waterloo occurred on June 11, 1815 or that the allied invasion of Europe began on June 6, 1944. What each new age of historians are attempting to do is to reinterpret the motives of men and the force of circumstance impacting the direction of past events based on the factual, social, intellectual, and cultural milieu of their own generation. By examining the facts of history from a new perspective, today's historians hope to reveal some new truth that will not only illuminate the course of history but also validate contempo rary values and societal ideals. Although it is true that tackling the task of developing a new text on logistics and distribution channel management focuses less on schools of philosophical and social analysis and more on the calculus of managing sales campaigns, inventory replenishment, and income statements, the goal of the management scientist, like the historian, is to merge the facts and figures of the discipline with today's organizational, cultural, and economic realities. Hopefully, the result will be a new synthesis, where a whole new perspective will break forth, exposing new directions and opportunities. |
| forecasting and inventory management: Inventory Management-principles and Practices. P. Narayan, Jaya Subramanian, 2009 The book Inventory Management Principles and Practices explains all the fundamental principles of Inventory Management. It starts with a definition of Inventory, why it is needed as well as not needed, what is its impact on a business, how do we classify them for ease of control and what are the various techniques of inventory control. Inventory is an outcome of procurement. So obviously, while studying inventories, the logic behind its procurement should be studied. Hence, chapters on Manufacturing Resources Planning have been added. Just-in-time principles and TQM are some more methods of achieving world-class manufacturing, so they have also been included here. In the present scenario, all activities are being computerized. So lessons on e-commerce as well as all the latest technologies that are affecting Inventory Management have been included. Chapters have been included on methods to handle specific classes of inventories such as spare parts inventory, finished goods inventory, work-in-process inventory, surplus, obsolete and non-moving inventory, etc. Logistics and supply chain management defines the path which a material takes in it s life through a company. So it was essential to include a chapter on it also. Keeping in mind the syllabus prescribed in the various universities on this subject, the chapters have been designed accordingly. A chapter has also been included on some motivational thoughts outlining some principles, which would help us to become successful in life. The principles outlined here are universal, applicable to any situation, organization or country. |
| forecasting and inventory management: INVENTORY MANAGEMENT: Controlling in a Fluctuating Demand Environment R. S. Saxena, 2009-12 This book is for the inventory control practitioner.WIth the techniques described many people have been able to manage their stock of inventory so that their customers are happier and so are the accountants. The reduction of inventory value, the avoidance of unnecessary work and the improvement of customer service can be accomplished at the sam time through simple application of the techniques discussed. Inventory practitioners should be able to use this book to understand the best approaches and then to apply them to their own circumstances. Simple application of the methods is most succesful, while modifications usually result in less effective outcomes. |
Forecasting - Wikipedia
Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might estimate their …
What Is Forecasting? - IBM
Jul 22, 2024 · Forecasting is a method of predicting a future event or condition by analyzing patterns and uncovering trends in previous and current data. It employs mathematical …
Forecasting - Overview, Methods and Features, Steps
Forecasting refers to the practice of predicting what will happen in the future by taking into consideration events in the past and present. Basically, it is a decision-making tool that helps …
Six Rules for Effective Forecasting - Harvard Business Review
In describing what forecasters are trying to achieve, Saffo outlines six simple, commonsense rules that smart managers should observe as they embark on a voyage of discovery with …
Forecasting: Meaning, Nature, Planning and Forecasting, …
Jun 5, 2024 · What is Forecasting? Forecasting involves making educated guesses about future events that could affect a company. Businesses can predict sales, finances, customer …
Forecasting | Definition, Methods, Steps, & Limitations
Sep 7, 2023 · Financial forecasting is the act of estimating future financial outcomes for a business or an investment. It is a critical process in financial planning and decision-making. It …
Q&A: What Is Forecasting? Definition, Methods and Examples
Jun 6, 2025 · Forecasting is a method of making informed predictions by using historical data as the main input for determining the course of future trends. Companies use forecasting for …
Top 6 Types of Forecasting Models (+ Examples) - 10XSheets
Jul 12, 2023 · Forecasting models provide valuable insights into future trends and patterns, enabling organizations to allocate resources effectively, optimize inventory levels, manage …
What is Forecasting? Modern Techniques & AI Solutions | ketteQ
Feb 12, 2025 · Forecasting has come a long way in the last few decades, with gut feelings and educated guesses giving way to data-driven insights based on complex algorithms. …
What is a Forecast? - Forecasting Models Explained - AWS
Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future. It helps managers respond confidently to changes, control business operations, …
Forecasting - Wikipedia
Forecasting is the process of making predictions based on past and present data. Later these can be compared with what actually happens. For example, a company might estimate their …
What Is Forecasting? - IBM
Jul 22, 2024 · Forecasting is a method of predicting a future event or condition by analyzing patterns and uncovering trends in previous and current data. It employs mathematical …
Forecasting - Overview, Methods and Features, Steps
Forecasting refers to the practice of predicting what will happen in the future by taking into consideration events in the past and present. Basically, it is a decision-making tool that helps …
Six Rules for Effective Forecasting - Harvard Business Review
In describing what forecasters are trying to achieve, Saffo outlines six simple, commonsense rules that smart managers should observe as they embark on a voyage of discovery with …
Forecasting: Meaning, Nature, Planning and Forecasting, …
Jun 5, 2024 · What is Forecasting? Forecasting involves making educated guesses about future events that could affect a company. Businesses can predict sales, finances, customer …
Forecasting | Definition, Methods, Steps, & Limitations
Sep 7, 2023 · Financial forecasting is the act of estimating future financial outcomes for a business or an investment. It is a critical process in financial planning and decision-making. It …
Q&A: What Is Forecasting? Definition, Methods and Examples
Jun 6, 2025 · Forecasting is a method of making informed predictions by using historical data as the main input for determining the course of future trends. Companies use forecasting for …
Top 6 Types of Forecasting Models (+ Examples) - 10XSheets
Jul 12, 2023 · Forecasting models provide valuable insights into future trends and patterns, enabling organizations to allocate resources effectively, optimize inventory levels, manage …
What is Forecasting? Modern Techniques & AI Solutions | ketteQ
Feb 12, 2025 · Forecasting has come a long way in the last few decades, with gut feelings and educated guesses giving way to data-driven insights based on complex algorithms. …
What is a Forecast? - Forecasting Models Explained - AWS
Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future. It helps managers respond confidently to changes, control business operations, …
