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A Production-Inventory Problem for an Energy Buy-Back Program

Youhua (Frank) Chen, Suresh P. Sethi, Hanqin Zhang

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This paper considers a production-inventory problem in which the manufacturer participates in an energy buy-back program, which offers probabilistic opportunities with rewards for not using electricity. That is, the manufacturer will get paid for stopping production to save on electricity. The amount rewarded in a period will depend on the electricity market condition at that time. The market condition in any given period is represented by M + 1 states: normal (i.e., nonpeak), peak type 1,..., peak type M, and the reward amount in the period will be O, K 1,..., and K M, respectively. The occurrence of each state in a period is dictated by a known probability distribution. The objective is to determine from the manufacturer's perspective, whether to take such an offer when it arises. Under a mild assumption, we show that in the normal market condition, the production decision is partly a base-stock policy, whereas under peak type m condition, the manufacturer, upon accepting the offer, produces according to an (sm, S) policy, where m = 1,..., M. The numerical experiment demonstrates that the cost savings due to buy-backs can be substantial. It also shows that the always-participating strategy (i.e., the firm shuts down production whenever the buy-back program is activated) can perform much worse than the never-participating strategy. © 2007 IEEE.
Original languageEnglish
Article number4266808
Pages (from-to)395-406
JournalIEEE Transactions on Automation Science and Engineering
Volume4
Issue number3
DOIs
Publication statusPublished - Jul 2007
Externally publishedYes

Funding

This work was supported in part by HK RGC under Grant 411105, in part by a Distinguished Young Investigator Grant from the National Natural Sciences Foundation of China, and in part by a Grant from the Hundred Talents Program of the Chinese Academy of Sciences.

Research Keywords

  • (s, S) policy
  • Deregulation in the electricity market
  • Dynamic programming
  • Production-inventory model

RGC Funding Information

  • RGC-funded

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