技术说明--一般需求和销售损失的生产管理

IF 2.2 3区 管理学 Q3 MANAGEMENT
Jinhui Han, Xiaolong Li, Suresh P. Sethi, Chi Chung Siu, S. Yam
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引用次数: 0

摘要

分析具有一般需求的生产-库存系统:成本最小化和风险分析 在生产糖、玻璃、计算机显示器和无细胞蛋白质等物品时,由于设置成本高或设置时间长,频繁改变生产率是令人望而却步的。因此,在生产这些物品时,即使其需求是随机的,也要采用恒定的生产率。在 "具有一般需求和销售损失的生产管理 "一文中,Han、Li、Sethi、Siu 和 Yam 针对长期平均成本和预期贴现成本目标,利用他们开发的傅立叶余弦方案,在某些情况下明确地求得了具有莱维需求的生产-库存系统的最优恒定生产率,在一般情况下则求得了最优恒定生产率。该方案有助于计算库存系统的风险分析,如缺货概率和预期短缺。这些措施对于评估供应弹性尤其重要,特别是对于药品和医疗设备等紧急产品或服务。本研究的分析和数值结果有助于提高生产管理的效率和决策制定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technical Note—Production Management with General Demands and Lost Sales
Analyzing Production-Inventory Systems with General Demand: Cost Minimization and Risk Analytics Frequent production rate changes are prohibitive because of high setup costs or setup times in producing such items as sugar, glass, computer displays, and cell-free proteins. Thus, constant production rates are deployed for producing these items even when their demands are random. In “Production Management with General Demands and Lost Sales,” Han, Li, Sethi, Siu, and Yam obtain the optimal constant production rate for a production-inventory system with Lévy demand for long-run average and expected discounted cost objectives, explicitly in some cases and numerically in general with a Fourier-cosine scheme they develop. This scheme can help in computing risk analytics of the inventory system, such as stockout probability and expected shortfall. These measures are particularly significant for assessing supply resilience, especially for emergency products or services like medicines and healthcare equipment. This study’s analytical and numerical findings contribute to enhancing efficiency and decision making in production management.
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来源期刊
Operations Research
Operations Research 管理科学-运筹学与管理科学
CiteScore
4.80
自引率
14.80%
发文量
237
审稿时长
15 months
期刊介绍: Operations Research publishes quality operations research and management science works of interest to the OR practitioner and researcher in three substantive categories: methods, data-based operational science, and the practice of OR. The journal seeks papers reporting underlying data-based principles of operational science, observations and modeling of operating systems, contributions to the methods and models of OR, case histories of applications, review articles, and discussions of the administrative environment, history, policy, practice, future, and arenas of application of operations research.
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