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3770. Optimizing Material Logistics in Dynamic Production Settings
Invited abstract in session WB-58: Logistics 1, stream VeRoLog - Vehicle Routing and Logistics.
Wednesday, 10:30-12:00Room: S07 (building: 101)
Authors (first author is the speaker)
| 1. | Masood Fathi
|
| Intelligent Production Systems, University of Skövde | |
| 2. | Amir Nourmohammadi
|
| Intelligent Production Systems, School of Engineering Science, University of Skövde |
Abstract
In today's competitive market, characterized by demanding levels of product customization and variant production, the significance of a reliable and agile logistics system cannot be overstated in promptly meeting material demands at production lines. However, the uncertainties inherent in the production process and unplanned changes to the production plan pose significant challenges to achieving optimal in-plant material delivery for logistics planners.
This study proposes a solution comprising a mathematical optimization model and a simulation-based optimization approach to assist material logistics planners in manufacturing companies in swiftly adjusting material delivery to accommodate changes in the production plan. The effectiveness of the proposed solution is validated through the resolution of a real case problem, demonstrating its practical applicability and benefits in modern manufacturing environments.
Keywords
- Logistics
- Metaheuristics
- Programming, Mixed-Integer
Status: accepted
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