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A mathematical formulation and anarchic society optimisation algorithms for integrated scheduling of processing and transportation operations in a flow-shop environment

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  • Amir Ahmadi-Javid
  • Pedram Hooshangi-Tabrizi

Abstract

This paper addresses a permutation flow-shop scheduling problem where there are a finite number of transporters to carry jobs from each machine to its subsequent machine. The problem is first formulated as a mixed-integer linear programme, and then two anarchic society optimisation (ASO) algorithms are developed to solve large-sized instances of the problem. The numerical experience shows that the ASO algorithms are considerably effective and efficient. Finally, a sensitivity analysis is carried out to study the performance of the manufacturing system versus the transportation times and the number of transporters.

Suggested Citation

  • Amir Ahmadi-Javid & Pedram Hooshangi-Tabrizi, 2015. "A mathematical formulation and anarchic society optimisation algorithms for integrated scheduling of processing and transportation operations in a flow-shop environment," International Journal of Production Research, Taylor & Francis Journals, vol. 53(19), pages 5988-6006, October.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:19:p:5988-6006
    DOI: 10.1080/00207543.2015.1035812
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    Cited by:

    1. Mehdi Zarehparast Malekzadeh & Francisco Enrique Santarremigia & Gemma Dolores Molero & Ashwani Kumar Malviya & Aditya Kapoor & Rosa Arroyo & Tomás Ruiz Sánchez, 2024. "An Assessment Methodology about the Effectiveness of Mobility IT Solutions: Application to Six Demo Sites," Sustainability, MDPI, vol. 16(5), pages 1-34, March.
    2. Hosseini, Amir & Otto, Alena & Pesch, Erwin, 2024. "Scheduling in manufacturing with transportation: Classification and solution techniques," European Journal of Operational Research, Elsevier, vol. 315(3), pages 821-843.
    3. Mehdi Zarehparast Malekzadeh & Francisco Enrique Santarremigia & Gemma Dolores Molero & Ashwani Kumar Malviya & Rosa Arroyo & Tomás Ruiz Sánchez, 2023. "A Methodological Framework Based on a Quantitative Assessment of New Technologies to Boost the Interoperability of Railways Services," Sustainability, MDPI, vol. 15(13), pages 1-23, July.

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