Title | ||
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A hybrid dynamic programming for solving a mixed-model sequencing problem with production mix restriction and free interruptions. |
Abstract | ||
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In this article, we propose a hybrid procedure based on bounded dynamic programming assisted by linear programming to solve the mixed-model sequencing problem with workload minimization with serial workstations, free interruption of the operations and with production mix restrictions. We performed a computational experiment with 23 instances related to a case study of the Nissan powertrain plant located in Barcelona. The results of our proposal are compared with those obtained by mixed integer linear programming. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1007/s13748-016-0101-5 | Progress in AI |
Keywords | Field | DocType |
Mixed-model sequencing, Dynamic programming, Mixed integer linear programming, Hybrid metaheuristics, Industrial application | Powertrain,Dynamic programming,Mathematical optimization,Computer science,Branch and price,Workstation,Integer programming,Minification,Linear programming,Bounded function | Journal |
Volume | Issue | ISSN |
6 | 1 | 2192-6360 |
Citations | PageRank | References |
3 | 0.44 | 15 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Joaquín Bautista | 1 | 345 | 27.50 |
Alberto Cano | 2 | 269 | 18.88 |
Rocıo Alfaro | 3 | 36 | 6.68 |