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https://hdl.handle.net/10216/73443| Author(s): | Victor Camargo Franklina Toledo Bernardo Almada Lobo |
| Title: | HOPS - Hamming-Oriented Partition Search for production planning in the spinning industry |
| Issue Date: | 2014 |
| Description: | 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. |
| Subject: | Ciências Tecnológicas, Ciências da engenharia e tecnologias Technological sciences, Engineering and technology |
| Scientific areas: | Ciências da engenharia e tecnologias Engineering and technology |
| DOI: | 10.1016/j.ejor.2013.10.017 |
| URI: | https://hdl.handle.net/10216/73443 |
| Document Type: | Artigo em Revista Científica Internacional |
| Rights: | openAccess |
| License: | https://creativecommons.org/licenses/by-nc/4.0/ |
| Appears in Collections: | FEUP - Artigo em Revista Científica Internacional |
This item is licensed under a Creative Commons License
