Analyzing a lost-sale stochastic inventory model with Markov-modulated demands: A simulation-based optimization study
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- 作者：Rafael Diaza ; diazr@mit.edu" class="auth_mail" title="E-mail the corresponding author ; Mike P. Baileyb ; michael.bailey@usmc.mil" class="auth_mail" title="E-mail the corresponding author ; Sameer Kumarc ; 1 ; sameerkumar724@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Stochastic inventory model ; Autocorrelation ; Simulation-based optimization ; Simulated annealing ; Ranking and selection methods ; Pattern search
- 刊名：Journal of Manufacturing Systems
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：38
- 期：Complete
- 页码：1-12
- 全文大小：704 K
文摘
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Optimization by simulated annealing, pattern search (PS) & ranking and selection (RS).
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Lower/upper bounds for near-optimal solutions by PS enhanced by RS indifferent zone.
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Analysis of periodic stochastic inventory model with auto-correlated demands (ACD).
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Study Markov-modulated interrelated demands with empirical probability distribution.
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Inventory performance significantly declines as ACD increases and disregarded.