HOPS – Hamming-Oriented Partition Search for production planning in the spinning industry

Victor C.B. Camargo, Franklina M.B. Toledo and Bernardo Almada-Lobo

European Journal of Operational Research, 2014, vol. 234, issue 1, 266-277

Abstract: In this paper, we investigate a two-stage lot-sizing and scheduling problem in a spinning industry. A new hybrid method called HOPS (Hamming-Oriented Partition Search), which is a branch-and-bound based procedure that incorporates a fix-and-optimize improvement method is proposed to solve the problem. An innovative partition choice for the fix-and-optimize is developed. The computational tests with generated instances based on real data show that HOPS is a good alternative for solving mixed integer problems with recognized partitions such as the lot-sizing and scheduling problem.

Keywords: Matheuristic; Lot-sizing and scheduling problems; Textile industry; Mixed integer programming (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:234:y:2014:i:1:p:266-277

DOI: 10.1016/j.ejor.2013.10.017

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