A game theory model based on Gale-Shapley for dual-resource constrained (DRC) flexible job shop scheduling

Renna, Paolo and Thurer, Matthias and Stevenson, Mark (2019) A game theory model based on Gale-Shapley for dual-resource constrained (DRC) flexible job shop scheduling. International Journal of Industrial Engineering Computations, 11 (2). pp. 173-184.

[thumbnail of IJIEC_2019_30]
Text (IJIEC_2019_30)
IJIEC_2019_30.pdf - Draft Version
Available under License Creative Commons Attribution.

Download (1MB)


Most job shops in practice are constrained by both machine and labor availability. Worker assignment in these so-called Dual Resource Constrained (DRC) job shops is typically solved in the literature via the use of meta-heuristics, i.e. “when” and “where” rules, or heuristic assignment rules. While the former does not necessarily lead to optimal results, the latter suffers from high computational time and complexity, especially when there is a large number of workstations. This paper uses game theory to propose a new worker assignment rule for DRC job shops. The Gale-Shapley model (also known as the stable marriage problem) forms a ‘couple’ made up of a worker and machine following a periodic review strategy. Simulation is used to evaluate and compare the proposed model to “when” and “where” rules previously proposed in the literature. Simulation experiments under different conditions demonstrate that the Gale-Shapley model provides better results for worker assignments in complex DRC systems, particularly when the workers have different efficiency levels. The implications of the findings for research and practice are outlined.

Item Type:
Journal Article
Journal or Publication Title:
International Journal of Industrial Engineering Computations
?? dual-resource constrained (drc) shopsflexible job shop schedulinggame theorygale-shapleysimulation ??
ID Code:
Deposited By:
Deposited On:
04 Nov 2019 09:25
Last Modified:
21 Jul 2024 00:46