Work

Scheduling Service Oriented Manufacturing Systems

Year: 2025

Type: article

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.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2025.09.206

Authors: Ege Duran, Cemalettin Ozturk, Barry O’sullivan

Institutions: University College Cork, Munster Technological University

Language: English

Topic: Scheduling and Optimization Algorithms

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funder: Research Ireland