首页> 中文期刊> 《系统科学与复杂性:英文版》 >Pricing and Inventory Control Strategy for a Periodic-Review Energy Buy-Back System

Pricing and Inventory Control Strategy for a Periodic-Review Energy Buy-Back System

         

摘要

Along with the rapid development of economics and enhancement of industrialization,the power demand keeps rising and frequently creates mismatch between demand and supply in electricity.This provides miscellaneous energy buy-back programs with great opportunities.Such programs,when activated,offer certain amount of financial compensations to participants for reducing their energy consumption during peak time.They aim at encouraging participants to shift their electricity usage from peak to non-peak time,and thereby release the demand pressure during peak time.This paper considers a periodic-review joint pricing and inventory decision model under an energy buy-back program over finite planning horizons,in which the compensation levels,setup cost and additive random demand function are incorporated.The objective is to maximize a manufacturer's expected total profit.By using Veinott's conditions,it is shown that the manufacturer's optimal decision is a state dependent (s,S,P) policy under a peak market condition,or partly an (s,S,A,P) policy under the normal market condition.

著录项

  • 来源
    《系统科学与复杂性:英文版》 |2016年第4期|1018-1033|共16页
  • 作者单位

    International Business School, Beijing Foreign Studies University, Beijing 100089, China;

    Institute of Applied Mathematics, Academy of Mathematics and Systems Science, Chinese Academy of Sciences,Beijing 100190, China;

    International Business School, Beijing Foreign Studies University, Beijing 100089, China;

    DECIDE Research Group, Department of Computer and Systems Sciences, Stockholm University, Forum 100, SE-164 40 Kista,Sweden;

    International Business School, Beijing Foreign Studies University, Beijing 100089, China;

  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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