DocumentCode
1044679
Title
A Production–Inventory Problem for an Energy Buy-Back Program
Author
Chen, Y. ; Sethi, S.P. ; Zhang, Haijun
Author_Institution
Chinese Univ. of Hong Kong, Hong Kong
Volume
4
Issue
3
fYear
2007
fDate
7/1/2007 12:00:00 AM
Firstpage
395
Lastpage
406
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 states: normal (i.e., nonpeak), peak type , peak type , and the reward amount in the period will be, and, 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 condition, the manufacturer, upon accepting the offer, produces according to an policy, where. 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.
Keywords
inventory management; power markets; statistical distributions; base-stock policy; electricity market deregulation; energy buy-back program; probability distribution; production-inventory problem; Costs; Dynamic programming; Electricity supply industry; Mathematics; Power markets; Probability distribution; Production systems; Pulp manufacturing; Research and development management; Systems engineering and theory; $(s, S)$ policy; Deregulation in the electricity market; dynamic programming; production–inventory model;
fLanguage
English
Journal_Title
Automation Science and Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1545-5955
Type
jour
DOI
10.1109/TASE.2006.886831
Filename
4266808
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