83. Plant-wide master production scheduling in the automotive industry: A MILP-approach and a simulation study
Invited abstract in session TE-3: Stochastic optimization and applications II, stream Stochastic optimization and applications.
Thursday, 16:45 - 18:15Room: C 104
Authors (first author is the speaker)
| 1. | Achim Koberstein
|
| Information and Operations Management, European University Viadrina Frankfurt (Oder) | |
| 2. | Thorben Krüger
|
| Volkswagen AG |
Abstract
Existing approaches for short-term master production scheduling neglect the plant state, plant structure, and lead times; moreover, performance studies regarding their suitability for realistic applications are limited. Therefore, in this paper, we propose a new approach that considers the entire plant structure, its state, and order due dates. We model a fictional but realistic automotive plant using a discrete-event material flow simulation. Through a numerical study, we demonstrate the practical applicability of our approach. Furthermore, we reveal that it can anticipate the behavior of the plant well and can be used to make decisions that minimize due date deviation costs while regulating the shares of components in the plant. We demonstrate that this is particularly important after component blocking, as high additional costs can otherwise arise owing to rework or line stoppages.
Keywords
- Optimization in industry, business and finance
Status: accepted
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