Integrated job-shop scheduling in an FMS with heterogeneous transporters: MILP formulation, constraint programming, and branch-and-bound

Current studies on scheduling of machines and transporters assume that either a single transporter or an infinite number of homogeneous transporters such as AGVs or mobile robots are available to transport semi-finished jobs, which seems very restrictive in practice. This paper addresses this gap by...

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Veröffentlicht in:International journal of production research Jg. 62; H. 9; S. 3288 - 3304
Hauptverfasser: Ahmadi-Javid, Amir, Haghi, Maryam, Hooshangi-Tabrizi, Pedram
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Taylor & Francis 02.05.2024
Taylor & Francis LLC
Schlagworte:
AGVS
Algorithms
constraint programming (CP)
Flexible manufacturing systems
Impact analysis
Integer programming
Job shop scheduling
Job shops
Job-shop scheduling; flexible manufacturing system (FMS)
Linear programming
minimal time lags
Mixed integer
mixed-integer linear programming (MILP)
mobile robots and automated guided vehicles (AGVs)
Scheduling
structure-based branch-and-bound (B&B)
ISSN:0020-7543, 1366-588X
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Abstract Current studies on scheduling of machines and transporters assume that either a single transporter or an infinite number of homogeneous transporters such as AGVs or mobile robots are available to transport semi-finished jobs, which seems very restrictive in practice. This paper addresses this gap by studying a job-shop scheduling problem that incorporates a limited number of heterogeneous transporters, where the objective is to minimize the makespan. The problem is modelled using mixed-integer linear programming and constraint programming. Different structure-based branch-and-bound algorithms with two lower-bounding strategies are also developed. A comprehensive numerical study evaluates the proposed models and algorithms. The research demonstrates that the adjustment of the proposed MILP model outperforms the existing formulation when applied to the homogeneous case. The study also uncovers interesting practical implications, including the analysis of the impact of different transporter types in the system. It shows that utilizing a fleet of heterogeneous transporters can improve the overall performance of the job shop compared to a relevant homogeneous case. The importance of the study is emphasized by highlighting the negative consequences of disregarding transporters' differences during the scheduling phase.
AbstractList Current studies on scheduling of machines and transporters assume that either a single transporter or an infinite number of homogeneous transporters such as AGVs or mobile robots are available to transport semi-finished jobs, which seems very restrictive in practice. This paper addresses this gap by studying a job-shop scheduling problem that incorporates a limited number of heterogeneous transporters, where the objective is to minimize the makespan. The problem is modelled using mixed-integer linear programming and constraint programming. Different structure-based branch-and-bound algorithms with two lower-bounding strategies are also developed. A comprehensive numerical study evaluates the proposed models and algorithms. The research demonstrates that the adjustment of the proposed MILP model outperforms the existing formulation when applied to the homogeneous case. The study also uncovers interesting practical implications, including the analysis of the impact of different transporter types in the system. It shows that utilizing a fleet of heterogeneous transporters can improve the overall performance of the job shop compared to a relevant homogeneous case. The importance of the study is emphasized by highlighting the negative consequences of disregarding transporters' differences during the scheduling phase.
Author Hooshangi-Tabrizi, Pedram
Ahmadi-Javid, Amir
Haghi, Maryam
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  surname: Hooshangi-Tabrizi
  fullname: Hooshangi-Tabrizi, Pedram
  organization: Concordia University
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  doi: 10.1007/s10696-017-9302-x
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  doi: 10.1080/00207543.2021.2023777
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  doi: 10.1016/j.cor.2004.11.006
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Snippet Current studies on scheduling of machines and transporters assume that either a single transporter or an infinite number of homogeneous transporters such as...
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informaworld
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SubjectTerms AGVS
Algorithms
constraint programming (CP)
Flexible manufacturing systems
Impact analysis
Integer programming
Job shop scheduling
Job shops
Job-shop scheduling; flexible manufacturing system (FMS)
Linear programming
minimal time lags
Mixed integer
mixed-integer linear programming (MILP)
mobile robots and automated guided vehicles (AGVs)
Scheduling
structure-based branch-and-bound (B&B)
Title Integrated job-shop scheduling in an FMS with heterogeneous transporters: MILP formulation, constraint programming, and branch-and-bound
URI https://www.tandfonline.com/doi/abs/10.1080/00207543.2023.2230489
https://www.proquest.com/docview/3013994926
Volume 62
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