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Research Article

Dynamic scheduling of manufacturing systems: a product-driven approach using hyper-heuristics

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Pages 641-665 | Received 14 Nov 2020, Accepted 30 Apr 2021, Published online: 19 Jul 2021

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Maryam Rezapour Niari, Koroush Eshghi & Omid Fatahi Valilai. (2023) Using cloud manufacturing to establish an ecosystem network for COVID-19 ventilator production. International Journal of Computer Integrated Manufacturing 36:6, pages 842-862.
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Articles from other publishers (7)

Patricio Sáez, Carlos Herrera, Camila Booth, Sana Belmokhtar-Berraf & Victor Parada. (2023) A product-driven system with an evolutionary algorithm to increase flexibility in planning a job shop. PLOS ONE 18:2, pages e0281807.
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Luis A. Estrada-Jimenez, Terrin Pulikottil, Sanaz Nikghadam-Hojjati & Jose Barata. (2023) Self-Organization in Smart Manufacturing— Background, Systematic Review, Challenges and Outlook. IEEE Access 11, pages 10107-10136.
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Felix Winter & Nysret Musliu. 2023. Metaheuristics. Metaheuristics 274 289 .
Felix Winter & Nysret Musliu. (2022) A hyper-heuristic approach for artificial teeth scheduling. A hyper-heuristic approach for artificial teeth scheduling.
Alonso Vela, Jorge M. Cruz-Duarte, Jose Carlos Ortiz-Bayliss & Ivan Amaya. (2022) Beyond Hyper-Heuristics: A Squared Hyper-Heuristic Model for Solving Job Shop Scheduling Problems. IEEE Access 10, pages 43981-44007.
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P. Sáez, C. Herrera & J.E. Pezoa. (2022) A product-driven system approach to generate fast solutions to the job shop scheduling problem.. IFAC-PapersOnLine 55:10, pages 1930-1937.
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Wassim Bouazza, Yves Sallez & Damien Trentesaux. 2022. Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future 559 571 .

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