Periodic Review Inventory Systems

The focus of the work is twofold. First, it provides an introduction into fundamental structural and behavioral aspects of periodic review inventory systems. Second, it includes a comprehensive study on analytical and optimization aspects of a specific class of those systems. For the latter purpose, general solution methods for problems of inventory management in discrete time are described and developed along with highly specialized methods to solve very specific problems related to the model variants examined. The work is thus addressed to students and practitioners who seek a deeper understanding of managing inventories in discrete time as well as to software developers who require implementation aids on specific problems of inventory management.

A perishable item is one that has constant utility up until an expiration date (which may be known or uncertain), at which point the utility drops to zero. This includes many types of packaged foods such as milk, cheese, processed meats, and canned goods. It also includes virtually all pharmaceuticals and photographic film, as well as whole blood supplies. This book is the first devoted solely to perishable inventory systems. The book’s ten chapters first cover the preliminaries of periodic review versus continuous review and look at a one-period newsvendor perishable inventory model. The author moves to the basic multiperiod dynamic model, and then considers the extensions of random lifetime, inclusion of a set-up cost, and multiproduct models of perishables. A chapter on continuous review models looks at one-for-one policies, models with zero lead time, optimal policies with positive lead time, and an alternative approach. Additional chapters present material on approximate order policies, inventory depletion management, and deterministic models, including the basic EOQ model with perishability and the dynamic deterministic model with perishability. Finally, chapters explore decaying inventories, queues with impatient customers, and blood bank inventory control. Anyone researching perishable inventory systems will find much to work with here. Practitioners and consultants will also now have a single well-referenced source of up-to-date information to work with.

When work began on the first volume ofthis text in 1992, the science of dis tribution management was still very much a backwater of general manage ment and academic thought. While most of the body of knowledge associated with calculating EOQs, fair-shares inventory deployment, productivity curves, and other operations management techniques had long been solidly established, new thinking about distribution management had taken a definite back-seat to the then dominant interest in Lean thinking, quality management, and business process reengineering and their impact on manufacturing and service organizations. For the most part, discussion relating to the distri bution function centered on a fairly recent concept called Logistics Manage ment. But, despite talk of how logistics could be used to integrate internal and external business functions and even be considered a source of com petitive advantage on its own, most of the focus remained on how companies could utilize operations management techniques to optimize the traditional day-to-day shipping and receiving functions in order to achieve cost contain ment and customer fulfillment objectives. In the end, distribution manage ment was, for the most part, still considered a dreary science, concerned with oftransportation rates and cost trade-offs. expediting and the tedious calculus Today, the science of distribution has become perhaps one of the most im portant and exciting disciplines in the management of business.

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.

This is a renewal-theoretic analysis of a class of single-item (s, S) inventory systems. Included, in a unified exposition, are both con tinuous and periodic review systems under fairly general random de mand processes. The monograph is complete in the sense that it starts from the derivation of the time dependent and stationary dis tributions of basic stochastic processes related to these systems and concludes with the construction and testing of simple, distribution free approximations for optimal control policies. However, it is rather incomplete as an account of single-item inventory systems in that it narrowly focuses on systems with full backlogging of unfilled demand and constant lead times, through what has come to be known as stationary analysis. The level is intermediate, and the style is informal. Some prior knowledge of probability theory and inventory control is assumed on the part of the reader. Given these, the monograph is self-contained. Extensive use is made ofrenewal-theoretic concepts and results; these are reviewed in Chapter 2.

This 2nd Value Edition features all the content of Operations Management, 2nd Edition in a paperback format for a new low price. Taking a balanced, integrative approach, Operations Management, 2nd Value Edition demonstrates the critical impact OM has in today's business environments, and shows how it relates to every department in an organization. Authors R. Dan Reid and Nada R. Sanders provide clear, focused, and highly engaging coverage of key operations management topics, and make strong connections across concepts and chapters.

Stresses quantitative models and methods used in supply chain management Highlights global supplier selection and vendor management techniques Discusses the use of multiple criteria decision-making models used in supply chain management Provides a new chapter on health and humanitarian supply chains, including disaster management and logistics modeling Offers exercises at the end of every chapter and a solutions manual and PowerPoint slides for qualified textbook adoptions