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Grouping products for the optimization of production processes: A case in the steel manufacturing industry

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  • Casado, Silvia
  • Laguna, Manuel
  • Pacheco, Joaquín
  • Puche, Julio C.

Abstract

The optimization of a production process is often based on the efficient utilization of the production facility and equipment. In particular, reducing the time to change from producing one product to another is critical to the fulfillment of demand at a minimum cost. We study the production of steel coils in the context of searching for groups of products with similar characteristics in order to create production batches that minimize the cost of fulfilling production orders originated by a known demand. We formulate the problem as mixed-integer program and develop a heuristic solution procedure. We show that a simplified version of the problem is equivalent to the clique partition problem, which in turn is equivalent to the graph-coloring problem. Computational experiments show that the heuristic procedure is effective in finding high-quality solutions to both the clique partition problem and the original grouping problem that includes additional costs.

Suggested Citation

  • Casado, Silvia & Laguna, Manuel & Pacheco, Joaquín & Puche, Julio C., 2020. "Grouping products for the optimization of production processes: A case in the steel manufacturing industry," European Journal of Operational Research, Elsevier, vol. 286(1), pages 190-202.
    • Handle: RePEc:eee:ejores:v:286:y:2020:i:1:p:190-202
    DOI: 10.1016/j.ejor.2020.03.010
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    1. Jon K. Wilbrecht & William B. Prescott, 1969. "The Influence of Setup Time on Job Shop Performance," Management Science, INFORMS, vol. 16(4), pages 274-280, December.
    2. Lü, Zhipeng & Hao, Jin-Kao, 2010. "A memetic algorithm for graph coloring," European Journal of Operational Research, Elsevier, vol. 203(1), pages 241-250, May.
    3. Fred Glover, 1989. "Tabu Search---Part I," INFORMS Journal on Computing, INFORMS, vol. 1(3), pages 190-206, August.
    4. de Werra, D., 1996. "Extensions of coloring models for scheduling purposes," European Journal of Operational Research, Elsevier, vol. 92(3), pages 474-492, August.
    5. Lopez, Leo & Carter, Michael W. & Gendreau, Michel, 1998. "The hot strip mill production scheduling problem: A tabu search approach," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 317-335, April.
    6. Lixin Tang & Gongshu Wang & Zhi-Long Chen, 2014. "Integrated Charge Batching and Casting Width Selection at Baosteel," Operations Research, INFORMS, vol. 62(4), pages 772-787, August.
    7. Tang, Lixin & Liu, Jiyin & Rong, Aiying & Yang, Zihou, 2001. "A review of planning and scheduling systems and methods for integrated steel production," European Journal of Operational Research, Elsevier, vol. 133(1), pages 1-20, August.
    8. Laurent Moalic & Alexandre Gondran, 2018. "Variations on memetic algorithms for graph coloring problems," Journal of Heuristics, Springer, vol. 24(1), pages 1-24, February.
    9. Anzanello, Michel J. & Fogliatto, Flavio S., 2011. "Selecting the best clustering variables for grouping mass-customized products involving workers' learning," International Journal of Production Economics, Elsevier, vol. 130(2), pages 268-276, April.
    10. Avanthay, Cedric & Hertz, Alain & Zufferey, Nicolas, 2003. "A variable neighborhood search for graph coloring," European Journal of Operational Research, Elsevier, vol. 151(2), pages 379-388, December.
    11. Tang, Lixin & Liu, Jiyin & Rong, Aiying & Yang, Zihou, 2000. "A mathematical programming model for scheduling steelmaking-continuous casting production," European Journal of Operational Research, Elsevier, vol. 120(2), pages 423-435, January.
    12. Nicolas Barnier & Pascal Brisset, 2004. "Graph Coloring for Air Traffic Flow Management," Annals of Operations Research, Springer, vol. 130(1), pages 163-178, August.
    13. Uddin, Muhammad Kutub & Shanker, Kripa, 2002. "Grouping of parts and machines in presence of alternative process routes by genetic algorithm," International Journal of Production Economics, Elsevier, vol. 76(3), pages 219-228, April.
    14. Edmund Burke & Jakub Mareček & Andrew Parkes & Hana Rudová, 2010. "A supernodal formulation of vertex colouring with applications in course timetabling," Annals of Operations Research, Springer, vol. 179(1), pages 105-130, September.
    15. Burke, Edmund K. & McCollum, Barry & Meisels, Amnon & Petrovic, Sanja & Qu, Rong, 2007. "A graph-based hyper-heuristic for educational timetabling problems," European Journal of Operational Research, Elsevier, vol. 176(1), pages 177-192, January.
    Full references (including those not matched with items on IDEAS)

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