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Information Journal Paper

Title

A bi-objective hierarchical hub location model with facility failure

Pages

  2009-2020

Abstract

 In most past studies on Hub Location Problem (HLP), failure probability is limited to a constant value; however, in reality, it depends on various factors including natural disasters such as floods and earthquakes, commodity ow, institutional elements (strikes), etc. This paper looks into the problem of the hub network design through a new model. The problem is to maximize network Reliability and minimize the total routing cost simultaneously. In order to provide a more realistic model, the hub's failure probabilities were considered as a function of the hub's incoming traffic. Reserve hub elements were also taken into account in the model with the aim of increasing network Reliability. To solve the model, a Non-dominated Sorting Genetic Algorithm (NSGA-II) was presented. The parameters of the algorithm were tuned using Taguchi method. The proposed solution was then carried out in a case study where the results confirmed the acceptable performance of the model; moreover, sensitivity analysis was performed in order to describe the effects of critical parameters on objective functions.

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    APA: Copy

    BABASHAHI, M., SHAHANAGHI, K., GHOLAMIAN, M.R., & YAVARI, A.. (2020). A bi-objective hierarchical hub location model with facility failure. SCIENTIA IRANICA, 27(4 (Transactions E: Industrial Engineering)), 2009-2020. SID. https://sid.ir/paper/982773/en

    Vancouver: Copy

    BABASHAHI M., SHAHANAGHI K., GHOLAMIAN M.R., YAVARI A.. A bi-objective hierarchical hub location model with facility failure. SCIENTIA IRANICA[Internet]. 2020;27(4 (Transactions E: Industrial Engineering)):2009-2020. Available from: https://sid.ir/paper/982773/en

    IEEE: Copy

    M. BABASHAHI, K. SHAHANAGHI, M.R. GHOLAMIAN, and A. YAVARI, “A bi-objective hierarchical hub location model with facility failure,” SCIENTIA IRANICA, vol. 27, no. 4 (Transactions E: Industrial Engineering), pp. 2009–2020, 2020, [Online]. Available: https://sid.ir/paper/982773/en

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