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Integration of resource allocation and task assignment for optimizing the cost and maximum throughput of business processes

Author

Listed:
  • Yi Xie

    (Zhejiang Gongshang University)

  • Shitao Chen

    (Zhejiang Gongshang University)

  • Qianyun Ni

    (Zhejiang Gongshang University)

  • Hanqing Wu

    (Zhejiang Gongshang University)

Abstract

To improve efficiency and keep an edge in today’s increasingly competitive global business environments, this study aims to integrate resource allocation and task assignment for optimizing the cost and maximum throughput of business processes with many-to-many relationships between resources and activities using numerical analysis approaches and improved genetic algorithm. Firstly, a formal business process model for analyzing cost and maximum throughput is presented based on set theory. Secondly, the mathematic models of integrating resources allocation and task assignment for optimizing the cost and maximum throughput of business process are proposed respectively and solved by the improved genetic algorithm. Finally, the effectiveness and viability of the proposed methods are verified in numerical and practical cases respectively.

Suggested Citation

  • Yi Xie & Shitao Chen & Qianyun Ni & Hanqing Wu, 2019. "Integration of resource allocation and task assignment for optimizing the cost and maximum throughput of business processes," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1351-1369, March.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:3:d:10.1007_s10845-017-1329-z
    DOI: 10.1007/s10845-017-1329-z
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    References listed on IDEAS

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    1. Youseef Alotaibi, 2016. "Business process modelling challenges and solutions: a literature review," Journal of Intelligent Manufacturing, Springer, vol. 27(4), pages 701-723, August.
    2. Zheng, Huan-yu & Wang, Ling, 2015. "Reduction of carbon emissions and project makespan by a Pareto-based estimation of distribution algorithm," International Journal of Production Economics, Elsevier, vol. 164(C), pages 421-432.
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