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A two pass heuristic algorithm for scheduling ‘blocked out’ units in continuous process industry

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  • Sumit Bose
  • Subir Bhattacharya

Abstract

This paper addresses the problem of scheduling cascaded ‘blocked out’ continuous processing units separated by finite capacity storage tanks. The raw materials for the product lines arrive simultaneously on the input side of the first unit. But every unit can process only one product line at a time, thus giving rise to the possibility of spillage of raw material due to limited storage capacity. The need to process multiple product lines and the added constraint of multiple intermediate upliftment dates aggravate the problem. This problem is quite common in petrochemical industry. The paper provides a MINLP (Mixed Integer Non-Linear Programming) formulation of the problem. However, for any realistic scheduling horizon, the size of the problem is too large to be solved by standard packages. We have proposed a depth first branch and bound algorithm, guided by heuristics, to help planners in tackling the problem. The suggested algorithm could output near optimal solutions for scheduling horizons of 30 time periods when applied to real life situations involving 3 units and 3 product lines. Copyright Springer Science+Business Media, LLC 2008

Suggested Citation

  • Sumit Bose & Subir Bhattacharya, 2008. "A two pass heuristic algorithm for scheduling ‘blocked out’ units in continuous process industry," Annals of Operations Research, Springer, vol. 159(1), pages 293-313, March.
    • Handle: RePEc:spr:annopr:v:159:y:2008:i:1:p:293-313:10.1007/s10479-007-0265-2
    DOI: 10.1007/s10479-007-0265-2
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    References listed on IDEAS

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    1. Christodoulos Floudas & Xiaoxia Lin, 2005. "Mixed Integer Linear Programming in Process Scheduling: Modeling, Algorithms, and Applications," Annals of Operations Research, Springer, vol. 139(1), pages 131-162, October.
    2. Frauendorfer, K. & Konigsperger, E., 1996. "Concepts for improving scheduling decisions: An application in the chemical industry," International Journal of Production Economics, Elsevier, vol. 46(1), pages 27-38, December.
    3. Siqun Wang & Monique Guignard, 2002. "Redefining Event Variables for Efficient Modeling of Continuous-Time Batch Processing," Annals of Operations Research, Springer, vol. 116(1), pages 113-126, October.
    4. Jose Pinto & Ignacio Grossmann, 1998. "Assignment and sequencing models for thescheduling of process systems," Annals of Operations Research, Springer, vol. 81(0), pages 433-466, June.
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