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A new scheduling method based on sequential time windows developed to distribute first-aid medicine for emergency logistics following an earthquake

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  • Jiaqi Fang
  • Hanping Hou
  • Changxiang Lu
  • Haiyun Pang
  • Qingshan Deng
  • Yong Ye
  • Lingle Pan

Abstract

After an earthquake, affected areas have insufficient medicinal supplies, thereby necessitating substantial distribution of first-aid medicine from other supply centers. To make a proper distribution schedule, we considered the timing of supply and demand. In the present study, a “sequential time window” is used to describe the time to generate of supply and demand and the time of supply delivery. Then, considering the sequential time window, we proposed two multiobjective scheduling models with the consideration of demand uncertainty; two multiobjective stochastic programming models were also proposed to solve the scheduling models. Moreover, this paper describes a simulation that was performed based on a first-aid medicine distribution problem during a Wenchuan earthquake response. The simulation results show that the methodologies proposed in this paper provide effective schedules for the distribution of first-aid medicine. The developed distribution schedule enables some supplies in the former time windows to be used in latter time windows. This schedule increases the utility of limited stocks and avoids the risk that all the supplies are used in the short-term, leaving no supplies for long-term use.

Suggested Citation

  • Jiaqi Fang & Hanping Hou & Changxiang Lu & Haiyun Pang & Qingshan Deng & Yong Ye & Lingle Pan, 2021. "A new scheduling method based on sequential time windows developed to distribute first-aid medicine for emergency logistics following an earthquake," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-18, February.
  • Handle: RePEc:plo:pone00:0247566
    DOI: 10.1371/journal.pone.0247566
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    References listed on IDEAS

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    1. Yong Ye & Shalei Zhan & Shih-Yung Wei, 2017. "Equilibrium Decision Method for Earthquake First-Aid Medicine Allocation Based on Demand Information Updating," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-10, January.
    2. Jabbarzadeh, Armin & Fahimnia, Behnam & Seuring, Stefan, 2014. "Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 225-244.
    3. He, Yuxuan & Liu, Nan, 2015. "Methodology of emergency medical logistics for public health emergencies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 178-200.
    4. Haghani, Ali & Oh, Sei-Chang, 1996. "Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(3), pages 231-250, May.
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    Cited by:

    1. Lu, Changxiang & Ye, Yong & Fang, Yongjun & Fang, Jiaqi, 2023. "An optimal control theory approach for freight structure path evolution post-COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).

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