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Enhancing the cost performance in regular humanitarian logistics: location-routing and delivery frequency optimization

Author

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  • Tongxin Liu

    (Dongbei University of Finance and Economics)

  • Jun Li

    (University of Science and Technology of China)

  • Xihui Wang

    (University of Science and Technology of China
    University of Science and Technology of China)

Abstract

Motivation and Justification Regular humanitarian logistics (R-HL) plays an increasingly important role in alleviating suffering of beneficiaries struck by catastrophes and war. A key challenge that humanitarian organizations face is the lack of guidance on decision-making tools when conducting R-HL. Aim of the study A core tenet of this article is to incorporate cost performance in R-HL models to ensure delivery strategies that lead to the greatest good for the greatest number of people with lowest cost. Methodology Our study introduces cost performance, quantifying the alleviation of human suffering per unit economic cost. We formulate a mixed integer fractional programming model for the location-routing and delivery frequency problem with the objective of maximizing the cost performance. The neighborhood search-assisted genetic algorithm is designed to solve the intractable problem. Additionally, using real data from typhoon-prone Shenzhen and flood-affected Hefei in China, we validate our model and demonstrate its effectiveness. Findings Several numerical experiments have revealed that cost performance can provide moderate transportation and delivery strategies in both decreasing suffering of beneficiaries and lowering the cost according to comparisons with other objectives such as social costs minimization. Significance and originality Our study proposes a new objective function for efficiency and effectiveness trade-offs and suggests the use of cost performance as the preferred objective function for R-HL models.

Suggested Citation

  • Tongxin Liu & Jun Li & Xihui Wang, 2024. "Enhancing the cost performance in regular humanitarian logistics: location-routing and delivery frequency optimization," Flexible Services and Manufacturing Journal, Springer, vol. 36(3), pages 1157-1185, September.
    • Handle: RePEc:spr:flsman:v:36:y:2024:i:3:d:10.1007_s10696-023-09512-y
    DOI: 10.1007/s10696-023-09512-y
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    References listed on IDEAS

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