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能源回购补偿机制下基于无限阶段折扣准则的最优生产与库存策略
引用本文:张继红,丁晓松,陈虹桥.能源回购补偿机制下基于无限阶段折扣准则的最优生产与库存策略[J].运筹与管理,2014,23(5):109-119.
作者姓名:张继红  丁晓松  陈虹桥
作者单位:1.北京外国语大学 国际商学院,北京 100089; 2.中国科学院 数学与系统科学研究院 应用数学所,北京 100190
基金项目:国家自然科学基金(71371032,71071023);北京外国语大学规划项目(2011XG003);中央高校基本科研业务费(2012XJ030);北京高校青年英才计划(YETP0851)
摘    要:世界经济的快速发展和工业化进程的推进促使各国电力需求激增,电力供需矛盾为能源回购项目的发展提供了条件。为能够实现错峰用电和缓解能源需求的紧张,能源回购项目在每个阶段出现能源短缺时,将根据短缺的不同程度为限产(或停产)企业提供了金额不同的资金补偿。因此,在该能源回购补偿机制下,企业需要确定每个阶段是否参加能源回购项目及其相应的生产库存策略,来实现其期望折扣成本的最小化。本文研究了能源回购补偿机制下企业以最小化期望折扣成本为目标的无限阶段最优生产/库存策略。引入启动成本和多个能源需求状态的资金补偿水平后,在合理的假设条件下,证明了每个阶段生产商的最优生产/库存策略在高峰状态为(si,S)策略,在非高峰状态为(s0,S,A)策略。

关 键 词:管理科学与工程  供应链管理  生产/库存决策  无限阶段折扣准则  动态规划  能源回购  
收稿时间:2013-03-21

Optimal Production-inventory Policy under an Energy Buy-back Program over an Infinite Planning Horizon
ZHANG Ji-hong,DING Xiao-song,CHEN Hong-qiao.Optimal Production-inventory Policy under an Energy Buy-back Program over an Infinite Planning Horizon[J].Operations Research and Management Science,2014,23(5):109-119.
Authors:ZHANG Ji-hong  DING Xiao-song  CHEN Hong-qiao
Institution:1. International Business School, Beijing Foreign Studies University, Beijing 100089, China; 2. Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
Abstract:Due to the rising power demand with the rapid development of economics and enhancement of industrialization, the contradiction between supply and demand provides energy buy-back programs with great opportunities. Such programs, when activated, offer certain amount of financial compensations to participants for reducing their energy use, and aim to encourage participants to shift their electricity usage from peak to non-peak time. Hence, a manufacturer has to deal with the balance between receiving financial compensations from participation by reducing production and increasing sales from satisfying customers' demands through production/inventory. This paper studies a periodic review production/inventory control problem under an energy buy-back program over an infinite planning horizon. With the introduction of a fixed setup cost and compensation levels corresponding to different market states, we intend to identify the optimal production/inventory policy in order to minimize the discounted cost. Under mild assumptions, it is shown that such an optimal inventory policy is state dependent, and is of either an(si,S)or(s0,S,A)type by using Veinott's conditions.
Keywords:management science and engineering  supply chain management  production/inventory decision  infinite planning horizon with discounting  dynamic programming  energy buy-back  
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