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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.
Inventories are prevalent everywhere in the commercial world, whether it be in retail stores, manufacturing facilities, government stockpile material, Federal Reserve banks, or even your own household. This textbook examines basic mathematical techniques used to sufficiently manage inventories by using various computational methods and mathematical models. The text is presented in a way such that each section can be read independently, and so the order in which the reader approaches the book can be inconsequential. It contains both deterministic and stochastic models along with algorithms that can be employed to find solutions to a variety of inventory control problems. With exercises at the end of each chapter and a clear, systematic exposition, this textbook will appeal to advanced undergraduate and first-year graduate students in operations research, industrial engineering, and quantitative MBA programs. It also serves as a reference for professionals in both industry and government worlds. The prerequisite courses include introductory optimization methods, probability theory (non-measure theoretic), and stochastic processes.
This comprehensive Handbook provides an overview of state-of-the-art research on quantitative models for inventory management. Despite over half a century’s progress, inventory management remains a challenge, as evidenced by the recent Covid-19 pandemic. With an expanse of world-renowned inventory scholars from major international research universities, this Handbook explores key areas including mathematical modelling, the interplay of inventory decisions and other business decisions and the unique challenges posed to multiple industries.
Fundamentals of Matrix-Analytic Methods targets advanced-level students in mathematics, engineering and computer science. It focuses on the fundamental parts of Matrix-Analytic Methods, Phase-Type Distributions, Markovian arrival processes and Structured Markov chains and matrix geometric solutions. New materials and techniques are presented for the first time in research and engineering design. This book emphasizes stochastic modeling by offering probabilistic interpretation and constructive proofs for Matrix-Analytic Methods. Such an approach is especially useful for engineering analysis and design. Exercises and examples are provided throughout the book.
This volume provides a general overview of discrete- and continuous-time Markov control processes and stochastic games, along with a look at the range of applications of stochastic control and some of its recent theoretical developments. These topics include various aspects of dynamic programming, approximation algorithms, and infinite-dimensional linear programming. In all, the work comprises 18 carefully selected papers written by experts in their respective fields. Optimization, Control, and Applications of Stochastic Systems will be a valuable resource for all practitioners, researchers, and professionals in applied mathematics and operations research who work in the areas of stochastic control, mathematical finance, queueing theory, and inventory systems. It may also serve as a supplemental text for graduate courses in optimal control and dynamic games.
The second edition of this innovative core textbook spans the service and manufacturing sectors, equipping readers to grasp and overcome the core challenges faced in planning, designing and implementing operations. The prestigious and well-respected author team takes a 'tasks and challenges' approach that marries theory to their extensive practical experience of running operations in high-profile business settings while reflecting their clear vision and personal philosophy of operations management. Packed with engaging learning features that truly bring the subject to life, the text provides a concise and real-world orientated look at the key parts of an operations manager's job. This textbook is an ideal course text for undergraduate, postgraduate and MBA students taking a module in operations management or manufacturing/services operations. New to this Edition: - New and greatly expanded coverage of the most relevant contemporary topics in OM, including corporate social responsibility and ethics, lean manufacturing, outsourcing vs. insourcing, and zero hour contracts - Over 30 new and updated cases from a wide range of international companies including Apple, Samsung and Uber - Increased focus on strategy with an expanded emphasis and new dedicated sections on improving operations that place OM firmly at the centre of organizational considerations
This book presents selected proceedings from the 22nd biennial IFIP conference on System Modeling and Optimization, held in Turin, Italy in July of 2005. This edition of the conference is dedicated to the achievements of Camillo Possio, who was killed sixty years ago during the last air raid over Turin. For more information about the 300 other books in the IFIP series, please visit www.springeronline.com.
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.
This textbook discusses supply chain management and provides a comprehensive overview of all the key activities and issues of supply chain and logistics functions as an integrated discipline. Taking a comprehensive approach, it reviews end-to-end supply chain management from procurement to production to warehousing, distribution and customer service. It explores how each interface can be managed with the ultimate objective of providing superior customer experience to ensure satisfaction at the least cost while delivering incremental value in a competitive environment. This volume: Guides on designing effective development and management of the supply chain network, which is an invaluable source of sustainable, competitive advantage in today’s turbulent global marketplace Examines the complexities and challenges of catering to the flexible and fluctuating customer demand, warehousing, channel distribution and transportation, global logistics value chain management, and performance management Discusses short practical cases to explain the decision-making process with respect to manufacturing decisions and inventory for efficient working capital management, both of which are critical for supply chain performance Explores performance management matrix, maturity models and so on This book will be useful to students, researchers and faculty from the fields of business management, supply chain and logistics management, and mechanical and civil engineering. It will also be an invaluable companion to consultants and business executives working in the field of supply chain and logistics.
Production planning, inventory management, quality control, and maintenance policy are critical components of the manufacturing system. The effective integration of these four components gives a manufacturing operation the competitive edge in today's global market place. Integrated Models in Production Planning, Inventory, Quality, and Maintenance provides, in one volume, the latest developments in the integration of production, quality, and maintenance models. Prominent researchers, who are actively engaged in these areas, have contributed the topical chapters focused on the most recent issues in the area. In Part I, Ben-Daya and Rahim provide an overview of the literature dealing with integrated models for production, quality, and maintenance. Directions for future research are outlined. Part II contains six chapters (chapters 2 to 6) dealing with integrated models for production and maintenance. Part III deals with integrated production/inventory and quality models in chapters 7-11. Part IV focuses on quality and maintenance integrated models and contains two chapters. Part V deals with warranty, manufacturing, and quality and contains two chapters. Part VI addresses issues related to quality and contains three chapters (chapters 16-18).