Abstract
Recent advancements in digital transformation and collaborative economic models have improved manufacturing competitiveness and resilience while introducing computational complexities in the coordination and scheduling of service-oriented production environments, where multiple customer orders (i.e., agents) compete for shared resources. This study addresses this Multi-Agent Scheduling (MAS) problem, focusing on multi-facility settings where agents handle distinct, non-intersecting orders. A new mixed-integer and constraint programming models are proposed, incorporating practical concerns; changeovers, facility unavailability, and transportation time between facilities and the order consolidation center. Experimental results demonstrate the effectiveness of both approaches in addressing challenges within multi-agent service-oriented manufacturing systems.
| Original language | English |
|---|---|
| Pages (from-to) | 1223-1228 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 59 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 1 Jul 2025 |
| Event | 11th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2025 - Trondheim, Norway Duration: 30 Jun 2025 → 3 Jul 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Constraint Programming
- Manufacturing As A Service
- Mixed Integer Programming
- Multi-agent
- Scheduling
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