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Multi-objective optimisation of multi-task scheduling in cloud manufacturing

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Listed:
  • Feng Li
  • Lin Zhang
  • T. W. Liao
  • Yongkui Liu

Abstract

Cloud manufacturing is a consumer-centric requirement-driven manufacturing paradigm that integrates distributed resources for providing services to consumers in an on-demand manner. Scheduling of multiple tasks is an important technical means for satisfying consumer requirements in cloud manufacturing. However, high individualised requirements and the associated complex task structures complicate the task scheduling in cloud manufacturing. This paper establishes a more comprehensive model for scheduling multiple distinct tasks with complicated manufacturing processes. The hierarchical relationships (a mixture of dependency and independency) of subtasks within tasks are considered. The objectives involve three kinds of time and cost factors, namely processing time, setup time, transfer time and the respective cost. In addition, service quality is also considered into the optimisation objective. Two multi-objective-meta-heuristic algorithms, i.e. ACO-based multi-objective algorithm (MACO) and NSGA-II-based multi-objective algorithm (MGA), are designed to solve the scheduling problem. A detailed analysis of the performance of the two algorithms is performed by applying them to several different scheduling instances. Experimental results indicate that in most cases the MACO algorithm can obtain a more diverse set of Pareto solutions hence offering more alternatives to meet widely different users’ needs.

Suggested Citation

  • Feng Li & Lin Zhang & T. W. Liao & Yongkui Liu, 2019. "Multi-objective optimisation of multi-task scheduling in cloud manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 57(12), pages 3847-3863, June.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:12:p:3847-3863
    DOI: 10.1080/00207543.2018.1538579
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    Cited by:

    1. 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.
    2. Ali Salmasnia & Zahra Kiapasha & Melika Pashaeenejad, 2024. "Subtasks scheduling of tasks with different structures in cloud manufacturing systems under maintenance policy and focusing on logistics, tardiness, and earliness aspects," Operational Research, Springer, vol. 24(3), pages 1-37, September.
    3. Dong Yang & Qidong Liu & Jia Li & Yongji Jia, 2020. "Multi-Objective Optimization of Service Selection and Scheduling in Cloud Manufacturing Considering Environmental Sustainability," Sustainability, MDPI, vol. 12(18), pages 1-19, September.

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