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A PSO-BASED SIMULATION OPTIMIZATION FOR A COLLABORATIVE PRODUCTION SCHEDULING PROBLEM.

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Title: A PSO-BASED SIMULATION OPTIMIZATION FOR A COLLABORATIVE PRODUCTION SCHEDULING PROBLEM.
Authors: Zhang, L.1,2, Yan, Y.1 34117409@qq.com, Andleeb, F.3, Xu, J. R.4, Xu, W.1
Source: International Journal of Simulation Modelling (IJSIMM). Jun2026, Vol. 25 Issue 2, p352-362. 11p.
Subjects: Production scheduling, Particle swarm optimization, Bilevel programming, Mathematical optimization, Supply chains
Abstract: This study addresses collaborative production scheduling in a resource-constrained three-tier equipment manufacturing supply chain. A bilevel optimization model captures interactions between centralized penalty/incentive policies and decentralized operational decisions regarding equipment utilization, pricing, and quantity. A particle swarm optimization (PSO)-based procedure solves the nonlinear bilevel problem. Numerical simulations examine convergence, optimal scheduling, and parameter sensitivity. Results show scheduling performance jointly depends on equipment utilization elasticity, switching cost, working-hour adjustment price, and demand. Low switching costs and moderate elasticity raise efficiency and profit; adverse parameter combinations lead to lowperformance regimes. Properly designed penalties and incentives improve coordination, though their effectiveness hinges on operational flexibility and demand. The study offers a simulation-optimization framework for collaborative scheduling analysis in constrained equipment supply chains and supports decision-making for scheduling centres and enterprise planning. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Simulation Modelling (IJSIMM) is the property of DAAAM International and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: A PSO-BASED SIMULATION OPTIMIZATION FOR A COLLABORATIVE PRODUCTION SCHEDULING PROBLEM.
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  Data: <searchLink fieldCode="DE" term="%22Production+scheduling%22">Production scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Bilevel+programming%22">Bilevel programming</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+chains%22">Supply chains</searchLink>
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  Data: This study addresses collaborative production scheduling in a resource-constrained three-tier equipment manufacturing supply chain. A bilevel optimization model captures interactions between centralized penalty/incentive policies and decentralized operational decisions regarding equipment utilization, pricing, and quantity. A particle swarm optimization (PSO)-based procedure solves the nonlinear bilevel problem. Numerical simulations examine convergence, optimal scheduling, and parameter sensitivity. Results show scheduling performance jointly depends on equipment utilization elasticity, switching cost, working-hour adjustment price, and demand. Low switching costs and moderate elasticity raise efficiency and profit; adverse parameter combinations lead to lowperformance regimes. Properly designed penalties and incentives improve coordination, though their effectiveness hinges on operational flexibility and demand. The study offers a simulation-optimization framework for collaborative scheduling analysis in constrained equipment supply chains and supports decision-making for scheduling centres and enterprise planning. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of International Journal of Simulation Modelling (IJSIMM) is the property of DAAAM International and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.2507/IJSIMM25-2-CO10
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 352
    Subjects:
      – SubjectFull: Production scheduling
        Type: general
      – SubjectFull: Particle swarm optimization
        Type: general
      – SubjectFull: Bilevel programming
        Type: general
      – SubjectFull: Mathematical optimization
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      – SubjectFull: Supply chains
        Type: general
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      – TitleFull: A PSO-BASED SIMULATION OPTIMIZATION FOR A COLLABORATIVE PRODUCTION SCHEDULING PROBLEM.
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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