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3957. Exact and Heuristic Methods for Multi-agent Scheduling of Shared Manufacturing Systems
Invited abstract in session TC-49: Lot-sizing with game theory aspects, stream Lot Sizing, Lot Scheduling and Production Planning.
Tuesday, 12:30-14:00Room: M1 (building: 101)
Authors (first author is the speaker)
| 1. | Ege Duran
|
| School of Computer Science and Information Technology, University College Cork | |
| 2. | Cemalettin Ozturk
|
| Process, Energy & Transport, Munster Technological University |
Abstract
The progress of digitization and the emergence of resource-sharing business models have brought manufacturing companies with new possibilities to enhance their competitiveness and resilience. Shared manufacturing systems consist of agents such as manufacturing resources, and customer orders which pursue their individual objectives. Hence, despite its benefits, shared manufacturing systems come with computational challenges for effectively planning and scheduling this multi-agent ecosystem. Our study addresses this issue by introducing novel mixed integer programming (MIP) and constraint programming (CP) models as exact methods for representing and solving the scheduling of shared manufacturing resources. Additionally, a greedy constructive heuristic is developed. The effectiveness of the exact and heuristic methods is demonstrated through benchmarking with randomly generated instances.
Keywords
- Manufacturing
- Combinatorial Optimization
- Agent Systems
Status: accepted
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