Efficient control for a multi-product quasi-batch process via stochastic dynamic programming

IIE Transactions (Institute of Industrial Engineers)

Volumn 43, Issue 3, 2011, Pages 192-206

  Eren, Ezgi C ^a   Gautam, Natarajan ^a  

^a Texas AandM University   (United States)

Author keywords

Efficient process control; energy conservation; environmental impact; MDP; multi dimensional state space; multi product quasi batch processing; process industry; stochastic dynamic programming

Indexed keywords

EFFICIENT PROCESS; MDP; MULTI-DIMENSIONAL STATE; MULTI-PRODUCTS; PROCESS INDUSTRIES; STOCHASTIC DYNAMIC PROGRAMMING;

BATCH DATA PROCESSING; BELT CONVEYORS; COSTS; DYNAMIC PROGRAMMING; ENERGY CONSERVATION; ENVIRONMENTAL IMPACT; ENVIRONMENTAL MANAGEMENT; INDUSTRY; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

PROCESS CONTROL;

EID: 78651278915     PISSN: 0740817X     EISSN: 15458830     Source Type: Journal    
DOI: 10.1080/0740817X.2010.521808     Document Type: Article

References (20)

1. Carter, C. (2008) Cool on energy. The Engineer, 2-15 June 2008.
2. Dennis, D. and Meredith, J. (2000) An emprical analysis ofprocess industry transformation systems. Management Science, 46(8), 1085-1099.
3. Gupta, M.M. and Sinha, N.K. (2000) Soft Computing and Intelligent Systems: Theory and Applications, Academic Press, San Diego, CA.
4. Gupta, S.M. and Flapper, S.D.P. (1999) Preface to the special issue on the operational aspects of environmentally conscious, manufacturing. Computers & Industrial Engineering, 36(4), 719-721.
5. Hipp, S.K. and Holzbaur, U.D. (1988) Decision processes with monotone hystereticpolicies. Operations Research, 36(4), 585-588.
6. Kitaev, M.Y. and Serfozo, R.F. (1999) M/M/1 queues with switching costs and hysteretic optimal control. Operations Research, 47(2), 310-312.
7. Lu, F.V. and Serfozo, R.F. (1984) M/M/1 queueing decision processes with monotone hysteretic optimal policies. Operations Research, 32(5), 1116-1132.
8. Mattsson, B. and Sonesson, U. (2003) Environmentally-Friendly Food Processing, Woodhead Publishing Limited, Cambridge, UK.
9. Mittal, G.S. (1997) Computerized ControlSystems in the Food Industry, Marcel Dekker, New York, NY
10. Moreno-Lizaranzu M.J., Wysk, R.A., Hong, J. and Prabhu, V.V. (2001) A hybrid shop-floor control system for food manufacturing. IIE Transactions, 33, 193-202.
11. O'Brien, B. (2002) Global manufacturing and the sustainable economy. International Journal of Production Research, 40(15), 3867-3877.
12. Papadaki, K. and Powell, W.B. (2007) Monotonicity in multidimensional markov decision processes for the batch dispatch problem. Operations Research Letters, 35, 267-272.
13. Paulauskas, F.L., White, T.L. and Bigelow, T.S. (2003) Microwave and plasma-assisted modification ofcomposite fiber surface topography. United States Patent, 6514449 B1.
14. Paulauskas, F.L., Yarborough, K.D. and Meek, T.T. (2002) Carbon fiber manufacturing via plasma technology. United States Patent, 6372192 B1.
15. Puterman, M.L. (1994) Markov Decision Processes: Discrete Stochastic Programming, John Wiley & Sons, New York, NY
16. Ramakrishnan, S., Gautam, N. and Wysk, R.A. (2002) Tunnel freezing process with adaptive control: a stochastic modeling approach, in Proceeding of the IndustrialEngineering Research Conference.
17. Ramakrishnan, S., Wysk, R.A. and Prabhu, V.V. (2004) Prediction of process parameters for intelligent control of tunnel freezers using simulation. Journal of Food Engineering, 65, 23-31.
18. Rossi, T., Noe, C. and Sianesi, A. (2008) Modelling hybrid production systems through the ACD specification: a case study in the fibre-glass industry International Journal of Production Research, 46(8), 2033-2059.
19. Stuart, J.A., Ammons, J.C. and Turbini, L.J. (1999) A product and process selection model with multidisciplinary environmental considerations. Operations Research, 47(2), 221-234.
20. Topkis, D.M. (1978) Minimizing a submodular function on a lattice. Operations Research, 26(2), 305-321.