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eBook Foundations of Stochastic Inventory Theory (Stanford Business Books) download

by Evan Porteus

eBook Foundations of Stochastic Inventory Theory (Stanford Business Books) download ISBN: 0804743991
Author: Evan Porteus
Publisher: Stanford Business Books; 1 edition (August 9, 2002)
Language: English
Pages: 319
ePub: 1540 kb
Fb2: 1996 kb
Rating: 4.2
Other formats: lit azw doc mobi
Category: Work and Money
Subcategory: Economics

This book provides a comprehensive foundation for inventory theory "Every organization is striving to match supply with demand.

This book provides a comprehensive foundation for inventory theory. Amazingly, Evan Porteus is able to introduce and explain very complex concepts in simple and interesting ways. In providing the intuitions behind many of the theories and results, he brings difficult concepts to life. Hau Lee Stanford University). Every organization is striving to match supply with demand. Foundations of Stochastic Inventory Theory introduces the fundamental theories for tackling this challenging management task.

This book provides a comprehensive foundation for inventory theory "Every organization is striving to match supply with demand. Hau Lee, Stanford University. Every organization is striving to match supply with demand

Stanford Business Books, Stanford, 2002

Stanford Business Books, Stanford, 2002. Operations, Information & Technology.

Book Publishing WeChat. The Mathematical Foundations of Gauge Theory Revisited. E. L. Porteus, Foundations of Stochastic Inventory Theory, Stanford Business Books, Stanford, 2002. has been cited by the following article: TITLE: Who Benefits from Altruism in Supply Chain Management? AUTHORS: Zehui Ge, Qiying Hu. KEYWORDS: Supply Chain Management; Coopetition; Altruistic Preference; Advertising/Sales Effort; Pricing.

Porteus, Evan L. Foundations of Stochastic Inventory Theory. Stanford, CA: Stanford University Press, 2002. Zipkin, Paul H. Foundations of Inventory Management. Boston: McGraw Hill, 2000. Silver, Edward . David F. Pyke, and Rein Peterson. php?title Inventory theory&oldid 846789673". Categories: Inventory optimization.

Foundations of Stochastic Inventory Theory. Hnich . Prestwich S. (2007) Replenishment Planning for Stochastic Inventory Systems with Shortage Cost. Stanford University Press, Stanford (2002) Google Scholar. 10. Apt, . Principles of Constraint Programming. In: Van Hentenryck . Wolsey L. (eds) Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems.

We study several dynamic, stochastic inventory control models with . A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency.

We study several dynamic, stochastic inventory control models with integer demands: the newsvendor model, its multi-period extension and a single-product, multi-echelon assembly model. Equivalent linear programs are formulated for the corresponding stochastic dynamic programs, and integrality results are derived based on the total unimodularity of the constraint matrices. Inventory models with lost sales and large lead times have traditionally been considered intractable, due to the curse of dimensionality.

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Evan L. Porteus is the Sanwa Bank Professor of Management Science at the Stanford Graduate School of Business. Frank Martin is a Senior Teaching Fellow in Entrepreneurship in the Business & Organisation Division at the University of Stirling.

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In 1958, Stanford University Press published Studies in the Mathematical Theory of Inventory and Production (edited by Kenneth J. Arrow, Samuel Karlin, and Herbert Scarf), which became the pioneering road map for the next forty years of research in this area. One of the outgrowths of this research was development of the field of supply-chain management, which deals with the ways organizations can achieve competitive advantage by coordinating the activities involved in creating products―including designing, procuring, transforming, moving, storing, selling, providing after-sales service, and recycling. Following in this tradition, Foundations of Stochastic Inventory Theory has a dual purpose, serving as an advanced textbook designed to prepare doctoral students to do research on the mathematical foundations of inventory theory and as a reference work for those already engaged in such research. The author begins by presenting two basic inventory models: the economic order quantity model, which deals with "cycle stocks," and the newsvendor model, which deals with "safety stocks." He then describes foundational concepts, methods, and tools that prepare the reader to analyze inventory problems in which uncertainty plays a key role. Dynamic optimization is an important part of this preparation, which emphasizes insights gained from studying the role of uncertainty, rather than focusing on the derivation of numerical solutions and algorithms (with the exception of two chapters on computational issues in infinite-horizon models). All fourteen chapters in the book, and four of the five appendixes, conclude with exercises that either solidify or extend the concepts introduced. Some of these exercises have served as Ph.D. qualifying examination questions in the Operations, Information, and Technology area of the Stanford Graduate School of Business.
Comments: (5)
Painbrand
I love this book, and the simple examples it uses, before it discusses the inventory formulation/optimal policies.
Kazimi
This book is not suitable for practitioner looking for methodologies on how to solve real-world stochastic inventory problems. However, it is suitable for someone interest on mathematical formulations, research...etc.; perhaps a graduate IE/OR student working on inventory models.
Angana
Begining from early day in 1950, the Inventory theory is mathematically rich and widely applicable field of Operations Research. This books provides an excellent overview of the development in this direction so far. It teaches many very important concept without getting tedious in technical details. This also serves as a very good text for students interested in learning dynamic programming and structured policies. This book falls short of (my) expectations as its approach in describing the problem solving is very legality oriented. In other words, though this informs a reader why certain things are true by presenting mathematical proofs, it doesn't tell how do one arrives at the proof. However there are very few books which really do that.
Kulafyn
Thoughtful selection of topics. Treatment with full mathematical rigor. Even the appendices are tremendously helpful. One of the few truly well written books on operations management topics that I've seen.
Kagda
This book provides a good path to learn the theory of stochastic inventory control. The first few chapters and the appedices are pretty useful.