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Intelligent Optimisation for Integrated Process Planning and Scheduling

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Multi-objective Evolutionary Optimisation for Product Design and Manufacturing

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Abstract

Traditionally, process planning and scheduling were performed sequentially, where scheduling was executed after process plans had been generated. Considering the fact that the two functions are usually complementary, it is necessary to integrate them more tightly so that the performance of a manufacturing system can be improved greatly. In this chapter, a multi-agent-based framework has been developed to facilitate the integration of the two functions. In the framework, the two functions are carried out simultaneously, and an optimisation agent based on evolutionary algorithms is used to manage the interactions and communications between agents to enable proper decisions to be made. To verify the feasibility and performance of the proposed approach, experimental studies conducted to compare this approach and some previous works are presented. The experimental results show the proposed approach has achieved significant improvement.

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Acknowledgments

The research work has been supported by collaborative grants from Coventry University, University of Skövde, the State Key Laboratory of Digital Manufacturing Equipment and Technology of the Huazhong University of Science and Technology China, and the Natural Science Foundation of China (NSFC) under Grant no. 51005088.

Author information

Authors and Affiliations

  1. Faculty of Engineering and Computing, Coventry University, Coventry, CV1 5FB, UK

    Weidong Li

  2. Virtual Systems Research Centre, University of Skövde, 541 28, Skövde, Sweden

    Lihui Wang

  3. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Xinyu Li & Liang Gao

Authors
  1. Weidong Li
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  2. Lihui Wang
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  3. Xinyu Li
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  4. Liang Gao
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Corresponding author

Correspondence to Weidong Li .

Editor information

Editors and Affiliations

  1. , Virtual Systems Research Centre, University of Skövde, Skövde, 541 28, Sweden

    Lihui Wang

  2. , Virtual Systems Research Centre, University of Skövde, Skövde, 541 28, Sweden

    Amos H. C. Ng

  3. , Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, 208016, Uttar Pradesh, India

    Kalyanmoy Deb

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Li, W., Wang, L., Li, X., Gao, L. (2011). Intelligent Optimisation for Integrated Process Planning and Scheduling. In: Wang, L., Ng, A., Deb, K. (eds) Multi-objective Evolutionary Optimisation for Product Design and Manufacturing. Springer, London. https://doi.org/10.1007/978-0-85729-652-8_10

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  • DOI: https://doi.org/10.1007/978-0-85729-652-8_10

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