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A bi˗objective hub location-allocation model considering congestion

Author

Listed:
  • A. Ghodratnama

    (Kharazmi University)

  • H. R. Arbabi

    (Kharazmi University)

  • A. Azaron

    (Simon Fraser University
    Istanbul Sehir University
    Kwantlen Polytechnic University)

Abstract

In this paper, a new hub location-allocation model is developed considering congestion and production scheduling. This model assumes that manufacturing and distributing goods, including raw materials and semi-finished or finished goods, take place in hubs only (such as industrial township). The main objective of this study is to minimize the total costs and to minimize the sum of waiting times for processing goods in factories and warehouses. In order to solve the bi-objective model, goal attainment and LP metric techniques are combined to develop a more effective multi-objective technique. Due to the exponential complexity of the proposed approach as well as the nonlinearity of the mathematical model, a number of small and medium-sized problems are solved to demonstrate the effectiveness of the solution methodology.

Suggested Citation

  • A. Ghodratnama & H. R. Arbabi & A. Azaron, 2020. "A bi˗objective hub location-allocation model considering congestion," Operational Research, Springer, vol. 20(4), pages 2427-2466, December.
    • Handle: RePEc:spr:operea:v:20:y:2020:i:4:d:10.1007_s12351-018-0404-3
    DOI: 10.1007/s12351-018-0404-3
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    References listed on IDEAS

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    Cited by:

    1. Shaoren Wang & Yenchun Jim Wu & Ruiting Li, 2022. "An Improved Genetic Algorithm for Location Allocation Problem with Grey Theory in Public Health Emergencies," IJERPH, MDPI, vol. 19(15), pages 1-18, August.

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