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Planning and scheduling of multistage multiproduct batch plants operating under production campaigns

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  • Yanina Fumero
  • Gabriela Corsano
  • Jorge Montagna

Abstract

When plants are operated under stable conditions during reasonable time periods, operation with campaigns is particularly appropriate. The regular operation of the facilities simplifies the production control, the inventory management, the plant operability, etc. A campaign includes several batches of different products that are going to be manufactured and the same one is cyclically repeated over the time horizon. In this work, a mixed integer linear programming formulation is proposed for the planning and scheduling of given multiproduct batch plants operating with campaigns. The number and size of batches for each product, the campaign composition, the assignment of batches to units and their sequencing, and the number of times that the campaign is repeated over the time horizon must be determined. Taking into account this scenario, an appropriate performance measure is the minimization of the cycle time. An asynchronous slot-based continuous-time representation for modeling the assignment of batches to units and their sequencing is employed, and a novel rule for determining the maximum number of slots postulated for each unit is proposed. Copyright Springer Science+Business Media, LLC 2012

Suggested Citation

  • Yanina Fumero & Gabriela Corsano & Jorge Montagna, 2012. "Planning and scheduling of multistage multiproduct batch plants operating under production campaigns," Annals of Operations Research, Springer, vol. 199(1), pages 249-268, October.
    • Handle: RePEc:spr:annopr:v:199:y:2012:i:1:p:249-268:10.1007/s10479-011-0954-8
    DOI: 10.1007/s10479-011-0954-8
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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. 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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    Cited by:

    1. Yanina Fumero & Gabriela Corsano & Jorge M. Montagna, 2017. "An MILP model for planning of batch plants operating in a campaign-mode," Annals of Operations Research, Springer, vol. 258(2), pages 415-435, November.

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