| 书目名称 | Markovian Demand Inventory Models | | 编辑 | Dirk Beyer,Feng Cheng,Michael Taksar | | 视频video | | | 概述 | Only book coverage of this important area of research.Suresh Sethi is the most renowned researcher in the field.Appropriate for researchers, practitioners, and Ph.D. students.Includes supplementary ma | | 丛书名称 | International Series in Operations Research & Management Science | | 图书封面 |  | | 描述 | .Inventory management is concerned with matching supply with demand and a central problem in Operations Management. The problem is to find the amount to be produced or purchased in order to maximize the total expected profit or minimize the total expected cost. Over the past two decades, several variations of the formula appeared, mostly in trade journals written by and for inventory managers. A critical assumption in the inventory literature is that the demands in different periods are independent and identically distributed. However, in real life, demands may depend on environmental considerations or the events in the world such as the weather, the state of economy, etc. Moreover, these events are represented by stochastic processes - exogenous or controlled...In Markovian Demand Inventory Models, the authors are concerned with inventory models where these world events are modeled by Markov processes. Their research on Markovian demand inventory models was carried out over a period of ten years beginning in the early nineties.. | | 出版日期 | Book 2010 | | 关键词 | (s,S) policy; Analysis; Inventory theory; Markov process; Markovian demand; Stochastic Processes; base-sto | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-71604-6 | | isbn_softcover | 978-1-4614-2466-6 | | isbn_ebook | 978-0-387-71604-6Series ISSN 0884-8289 Series E-ISSN 2214-7934 | | issn_series | 0884-8289 | | copyright | Springer-Verlag US 2010 |
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发表于 2025-3-21 19:05:50
