eBook Foundations of Stochastic Inventory Theory (Stanford Business Books) download
by Evan Porteus
Author: Evan Porteus
Publisher: Stanford Business Books; 1 edition (August 9, 2002)
ePub: 1540 kb
Fb2: 1996 kb
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Category: Work and Money
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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