Operations planning with real time pricing of a primary input

Computers and Operations Research

Volumn 34, Issue 3, 2007, Pages 848-867

  Karwan, Mark H ^a   Keblis, Matthew F ^b  

^a the State University of New York   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Mixed integer programming; Operations planning; Production planning; Real time pricing

Indexed keywords

COMPUTER SIMULATION; COSTS; DECISION MAKING; INTEGER PROGRAMMING; OPTIMIZATION; REAL TIME SYSTEMS;

MIXED INTEGER PROGRAMMING; OPERATIONS PLANNING; PRODUCTION PLANNING; REAL TIME PRICING;

OPERATIONS RESEARCH;

EID: 33748305972     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cor.2005.05.014     Document Type: Article

References (16)

1. Energy Information Association. Manufacturing Energy Consumption Survey, 1998 http://www.eia.doe.gov/industrial.html.
2. Gunardson H. Industrial Gases in Petrochemical Processing (1998), Marcel Dekker, New York
3. Smith A.R., and Klosek J. A review of air separation technologies and their integration with energy conversion processes. Fuel Processing Technology 70 (2001) 115-134
4. Butrica A.J. Out of thin air. A History of Air Products and Chemicals, Inc., 1940-1990 (1990), Praeger Publishers, New York
5. Hoffman S., Renner R., Drenker S., Carmichael L., and Flood J. Taking advantage of real time pricing. IEEE Power Engineering Review 17 (1997) 9-12
6. Daryanian B., Bohn R.E., and Tabors R.D. Optimal demand-side response to electricity spot prices for storage-type customers. IEEE Transactions on Power Systems 4 (1989) 897-903
7. Roos J.G., and Lane I.E. Industrial power demand response analysis for one-part real time pricing. IEEE Transactions on Power Systems 13 (1998) 159-164
8. Ierapetritou M.G., Wu D., Vin J., Sweeney P., and Chigirinskiy M. Cost minimization in an energy-intensive plant using mathematical programming approaches. Industrial and Engineering Chemistry Research 41 (2002) 5262-5277
9. Bhagavan R. Improved optimization techniques for plant maps and a parametric LP based slate graph generation system. MS thesis, State University of New York at Buffalo, USA, 1993.
10. O'Sheasy M.T. How to buy low and sell high. The Electricity Journal 11 1 (1998) 24-29
11. Baker K.R. An experimental study of the effectiveness of rolling schedules in production planning. Decision Sciences 8 (1977) 19-27
12. McClain J., and Thomas J. Horizon effects in aggregate production planning with seasonal demands. Management Science 23 (1977) 728-736
13. Morton T.E. Universal planning horizons for generalized convex production scheduling. Management Science 26 (1978) 1046-1058
14. Chand S., Hsu V.N., and Sethi S. Forecast, solution and rolling horizons in operations management problems. a classified bibliography. Manufacturing & Service Operations Management 4 (2002) 25-43
15. Heipcke S. Applications of Optimization with Xpress-MP (2002), Dash Optimization Ltd
16. Downie N.A. Industrial gases (1997), Kluwer Academic Publishers, Dordrecht