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出 处:《系统科学与数学》2011年第10期1297-1305,共9页Journal of Systems Science and Mathematical Sciences
基 金:国家自然科学基金面上项目(70771013;71071023);中央高校基本科研业务费专项资金;北京外国语大学"211"工程资助课题
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.考虑能源回购补偿机制下企业生产定价联合决策问题,建立了相应的具有线性需求函数的企业生产定价联合决策模型,研究了引入启动成本和参与能源回购项目得到的经济补偿对企业生产与定价策略性质的影响,并利用k凸函数的概念证明了在线性需求函数的假设下,(s,S,P*)策略为最优生产定价策略.The power demand keeps rising with the rapid development of economics and enhancement of industrialization. The contradiction between supply and demand provides energy buy-back programs with great opportunities. This paper considers a periodic review joint pricing and inventory model under an energy buy-back program by incorporating the compensation as well as setup cost over finite T planning horizons. At the beginning of each period, a decision maker has to figure out a joint pricing and inventory strategy under an energy buy-back program in order to maximize the expected total profit. It is shown that an (s, S, P*) policy is optimal with the concept of k-convexity when the demand function is additive.
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