Home > Research > Publications & Outputs > A game theory model based on Gale-Shapley for d...

Electronic data

  • IJIEC_2019_30

    Proof, 1.57 MB, PDF document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution to Journal/MagazineJournal articlepeer-review

E-pub ahead of print

Standard

A game theory model based on Gale-Shapley for dual-resource constrained (DRC) flexible job shop scheduling. / Renna, Paolo; Thurer, Matthias; Stevenson, Mark.
In: International Journal of Industrial Engineering Computations, Vol. 11, No. 2, 01.11.2019, p. 173-184.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Renna, P., Thurer, M., & Stevenson, M. (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), 173-184. Advance online publication. https://doi.org/10.5267/j.ijiec.2019.11.001

Vancouver

Renna P, Thurer M, Stevenson M. A game theory model based on Gale-Shapley for dual-resource constrained (DRC) flexible job shop scheduling. International Journal of Industrial Engineering Computations. 2019 Nov 1;11(2):173-184. Epub 2019 Nov 1. doi: 10.5267/j.ijiec.2019.11.001

Author

Renna, Paolo ; Thurer, Matthias ; Stevenson, Mark. / A game theory model based on Gale-Shapley for dual-resource constrained (DRC) flexible job shop scheduling. In: International Journal of Industrial Engineering Computations. 2019 ; Vol. 11, No. 2. pp. 173-184.

Bibtex

@article{2b3c57f15b1a417b8807f4c31ac35280,
title = "A game theory model based on Gale-Shapley for dual-resource constrained (DRC) flexible job shop scheduling",
abstract = "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 {\textquoteleft}couple{\textquoteright} 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.",
keywords = "Dual-resource constrained (DRC) shops, Flexible job shop scheduling, Game theory, Gale-Shapley, Simulation",
author = "Paolo Renna and Matthias Thurer and Mark Stevenson",
year = "2019",
month = nov,
day = "1",
doi = "10.5267/j.ijiec.2019.11.001",
language = "English",
volume = "11",
pages = "173--184",
journal = "International Journal of Industrial Engineering Computations",
number = "2",

}

RIS

TY - JOUR

T1 - A game theory model based on Gale-Shapley for dual-resource constrained (DRC) flexible job shop scheduling

AU - Renna, Paolo

AU - Thurer, Matthias

AU - Stevenson, Mark

PY - 2019/11/1

Y1 - 2019/11/1

N2 - 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.

AB - 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.

KW - Dual-resource constrained (DRC) shops

KW - Flexible job shop scheduling

KW - Game theory

KW - Gale-Shapley

KW - Simulation

U2 - 10.5267/j.ijiec.2019.11.001

DO - 10.5267/j.ijiec.2019.11.001

M3 - Journal article

VL - 11

SP - 173

EP - 184

JO - International Journal of Industrial Engineering Computations

JF - International Journal of Industrial Engineering Computations

IS - 2

ER -