Reducing waste in manufacturing operations: a mixed integer linear program for bi-objective scheduling on a single-machine with coupled-tasks

Abstract : This study addresses a scheduling problem involving a single-machine with coupled-tasks and bi-objective optimization considering simultaneously inventory and environmental waste-related costs. A mixed integer linear program representing the problem is developed and experimented on with multiple instances. The Pareto front is determined using the ε-constraint method, and a trade-off point is selected according to a distance criterion. The results show that a compromise can be found between an increased inventory and a reduction of waste generation. Moreover, developing new methods for solving problems of larger scale would benefit industrial decision-makers and sustainable production research.
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Conference papers
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https://hal-emse.ccsd.cnrs.fr/emse-01875282
Contributor : Florent Breuil <>
Submitted on : Monday, September 17, 2018 - 10:44:52 AM
Last modification on : Wednesday, November 13, 2019 - 1:19:07 PM

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Corentin Le Hesran, Anne-Laure Ladier, Valerie Botta-Genoulaz, Valérie Laforest. Reducing waste in manufacturing operations: a mixed integer linear program for bi-objective scheduling on a single-machine with coupled-tasks. 16th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2018), Jun 2018, Bergamo, Italy. pp.1695 - 1700, ⟨10.1016/j.ifacol.2018.08.212⟩. ⟨emse-01875282⟩

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