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3220. Scheduling manual operations on tire manufacturing machines
Invited abstract in session WA-60: Manufacturing scheduling with sustainability considerations, stream Project Management and Scheduling.
Wednesday, 8:30-10:00Room: S09 (building: 101)
Authors (first author is the speaker)
| 1. | Mario Flores Gomez
|
| SFL, EMSE | |
| 2. | Stéphane DAUZERE-PERES
|
| Manufacturing Sciences and Logistics, Ecole des Mines de Saint-Etienne - LIMOS | |
| 3. | Nabil Absi
|
| Ecole des Mines de Saint-Etienne - LIMOS |
Abstract
Michelin, founded in 1889 in France, has evolved into one of the world's leading tire manufacturers. The company's commitment to research and development has propelled it to the forefront of tire technology, ensuring that its products meet the evolving needs of its various clients. This presentation is motivated by a real tire production line which, even though it is highly automated, still requires more than one operator to run. Operators play a crucial role in verification processes and are instrumental in resolving unforeseen issues.
Our goal is to schedule the operations on the production line more efficiently, but also to guide the operators when random event occur. Actually, some of these random events should be considered when determining the schedules.
The problem at hand can be defined as a flexible job-shop scheduling problem, where the routing of the operations of each job includes automated and manual operations. As all the automated operations are performed by the same machine, we are interested in scheduling the manual operations that should be assigned to and scheduled on one operator among the eligible operators. The objective to minimize is the flow time of the tires for a given team of operators.
The presentation will detail how the problem is modeled and introduce the solution approaches for the deterministic case and for the stochastic case where random events are taken into account. Computational experiments on industrial data will be discussed.
Keywords
- Scheduling
Status: accepted
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