A reactive hybrid product-driven system for rescheduling in a manufacturing planning
Goal: This research aims to develop a novel scheduling model integrating the intelligent product paradigm of a product-driven system (PDS) with the shifting bottleneck heuristic (SBH) to enhance rescheduling efficiency and adaptability in dynamic job shop scheduling problems with disruptions (JSSP-D...
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| Format: | Article |
| Language: | English |
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Associação Brasileira de Engenharia de Produção (ABEPRO)
2025-07-01
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| Series: | Brazilian Journal of Operations & Production Management |
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| Online Access: | https://bjopm.org.br/bjopm/article/view/2570 |
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| author | Patricio Sáez Bustos Victor Parada Daza |
| author_facet | Patricio Sáez Bustos Victor Parada Daza |
| author_sort | Patricio Sáez Bustos |
| collection | DOAJ |
| description | Goal: This research aims to develop a novel scheduling model integrating the intelligent product paradigm of a product-driven system (PDS) with the shifting bottleneck heuristic (SBH) to enhance rescheduling efficiency and adaptability in dynamic job shop scheduling problems with disruptions (JSSP-D).
Design / Methodology / Approach: The model employs agent-based modeling, where products act as autonomous agents in rescheduling decisions. Simulations covered 151 scenarios across 14 benchmark instances of machine failures, with production time increases of 100%, 200%, and 300%. The model’s performance was evaluated on its ability to minimize makespan deterioration and maintain efficiency under different disturbance levels.
Results: The PDS-SBH model effectively reduced production efficiency gaps, achieving an average makespan reduction of 7.81%, with peaks of 36.06%. Higher disturbance levels allowed for better rescheduling outcomes, albeit with increased variability. The model’s adaptability provided solutions comparable or superior to stable scheduling benchmarks.
Limitations of the investigation: The study used 14 benchmark instances and focused solely on machine failures, limiting generalizability to other disruptions like resource shortages or order changes. Despite these constraints, the 151 scenarios and rigorous analysis strengthen result reliability.
Practical implications: The PDS-SBH model offers a robust approach for real-time schedule adjustments, maintaining operational continuity, and optimizing resource use. It provides practical insights for decision support systems and policy development in dynamic manufacturing.
Originality / Value: This study pioneers a hybrid approach combining intelligent product paradigms with SBH. It advances JSSP-D research by presenting a resilient, adaptive framework for dynamic scheduling, significantly contributing to manufacturing efficiency and robustness.
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| format | Article |
| id | doaj-art-ad0ea402642444fda725e15674842e8b |
| institution | Kabale University |
| issn | 2237-8960 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Associação Brasileira de Engenharia de Produção (ABEPRO) |
| record_format | Article |
| series | Brazilian Journal of Operations & Production Management |
| spelling | doaj-art-ad0ea402642444fda725e15674842e8b2025-08-20T03:27:37ZengAssociação Brasileira de Engenharia de Produção (ABEPRO)Brazilian Journal of Operations & Production Management2237-89602025-07-0122210.14488/BJOPM.2570.2025A reactive hybrid product-driven system for rescheduling in a manufacturing planningPatricio Sáez Bustos0Victor Parada Daza1Universidad de Concepción (UdeC), Região de Bío-Bío, Chile.Universidad de Santiago de Chile (USACH) / Instituto de Sistemas Complejos de Ingeniería (ISCI), Santiago, Chile.Goal: This research aims to develop a novel scheduling model integrating the intelligent product paradigm of a product-driven system (PDS) with the shifting bottleneck heuristic (SBH) to enhance rescheduling efficiency and adaptability in dynamic job shop scheduling problems with disruptions (JSSP-D). Design / Methodology / Approach: The model employs agent-based modeling, where products act as autonomous agents in rescheduling decisions. Simulations covered 151 scenarios across 14 benchmark instances of machine failures, with production time increases of 100%, 200%, and 300%. The model’s performance was evaluated on its ability to minimize makespan deterioration and maintain efficiency under different disturbance levels. Results: The PDS-SBH model effectively reduced production efficiency gaps, achieving an average makespan reduction of 7.81%, with peaks of 36.06%. Higher disturbance levels allowed for better rescheduling outcomes, albeit with increased variability. The model’s adaptability provided solutions comparable or superior to stable scheduling benchmarks. Limitations of the investigation: The study used 14 benchmark instances and focused solely on machine failures, limiting generalizability to other disruptions like resource shortages or order changes. Despite these constraints, the 151 scenarios and rigorous analysis strengthen result reliability. Practical implications: The PDS-SBH model offers a robust approach for real-time schedule adjustments, maintaining operational continuity, and optimizing resource use. It provides practical insights for decision support systems and policy development in dynamic manufacturing. Originality / Value: This study pioneers a hybrid approach combining intelligent product paradigms with SBH. It advances JSSP-D research by presenting a resilient, adaptive framework for dynamic scheduling, significantly contributing to manufacturing efficiency and robustness. https://bjopm.org.br/bjopm/article/view/2570SimulationSchedulingFlexible manufacturingPlanningAgent based modelling and simulation |
| spellingShingle | Patricio Sáez Bustos Victor Parada Daza A reactive hybrid product-driven system for rescheduling in a manufacturing planning Brazilian Journal of Operations & Production Management Simulation Scheduling Flexible manufacturing Planning Agent based modelling and simulation |
| title | A reactive hybrid product-driven system for rescheduling in a manufacturing planning |
| title_full | A reactive hybrid product-driven system for rescheduling in a manufacturing planning |
| title_fullStr | A reactive hybrid product-driven system for rescheduling in a manufacturing planning |
| title_full_unstemmed | A reactive hybrid product-driven system for rescheduling in a manufacturing planning |
| title_short | A reactive hybrid product-driven system for rescheduling in a manufacturing planning |
| title_sort | reactive hybrid product driven system for rescheduling in a manufacturing planning |
| topic | Simulation Scheduling Flexible manufacturing Planning Agent based modelling and simulation |
| url | https://bjopm.org.br/bjopm/article/view/2570 |
| work_keys_str_mv | AT patriciosaezbustos areactivehybridproductdrivensystemforreschedulinginamanufacturingplanning AT victorparadadaza areactivehybridproductdrivensystemforreschedulinginamanufacturingplanning AT patriciosaezbustos reactivehybridproductdrivensystemforreschedulinginamanufacturingplanning AT victorparadadaza reactivehybridproductdrivensystemforreschedulinginamanufacturingplanning |