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Reliability assessment of a multistate freight network for perishable merchandise with multiple suppliers and buyers

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  • Yi-Kuei Lin
  • Cheng-Ta Yeh
  • Cheng-Fu Huang

Abstract

This study develops a multistate freight network for single and perishable merchandise to assess the freight performance, where a node denotes a supplier, a distribution centre, or a buyer, while a logistics company providing a freight traffic service is denoted by an edge. For each logistics company, carrying capacity should be multistate since partial capacity may be reserved by some customers. The merchandise may perish or be perished during conveyance because of disadvantageous weather or collision in carrying such that the number of intact cargoes may be insufficient for the buyers. Hence, according to the perspective of supply chain management, the reliability, a probability of the network to successfully deliver the cargoes from the suppliers to the buyers subject to a budget, is proposed to be a performance index, where the suppliers and buyers are not the previous customers. An algorithm in terms of minimal paths to assess the reliability is developed. A fruit logistics case is adopted to explore the managerial implications of the reliability using sensitivity analysis.

Suggested Citation

  • Yi-Kuei Lin & Cheng-Ta Yeh & Cheng-Fu Huang, 2017. "Reliability assessment of a multistate freight network for perishable merchandise with multiple suppliers and buyers," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(1), pages 74-83, January.
    • Handle: RePEc:taf:tsysxx:v:48:y:2017:i:1:p:74-83
    DOI: 10.1080/00207721.2016.1157222
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    1. Simin Pulat, P., 1989. "Maximum outflow in generalized flow networks," European Journal of Operational Research, Elsevier, vol. 43(1), pages 65-77, November.
    2. Chin‐Chia Jane & Yih‐Wenn Laih, 2012. "Evaluating cost and reliability integrated performance of stochastic logistics systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(7), pages 577-586, October.
    3. Chopra, Sunil, 2003. "Designing the distribution network in a supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(2), pages 123-140, March.
    4. Rong, Aiying & Akkerman, Renzo & Grunow, Martin, 2011. "An optimization approach for managing fresh food quality throughout the supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 421-429, May.
    5. Editors, 2014. "International Journal of Systems Science," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(12), pages 1-1, December.
    6. Yu, Min & Nagurney, Anna, 2013. "Competitive food supply chain networks with application to fresh produce," European Journal of Operational Research, Elsevier, vol. 224(2), pages 273-282.
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    Cited by:

    1. Xiu-Zhen Xu & Yi-Feng Niu & Qing Li, 2019. "Efficient Enumeration of - Minimal Paths in Reliability Evaluation of Multistate Networks," Complexity, Hindawi, vol. 2019, pages 1-10, March.
    2. Niu, Yi-Feng & Zhao, Xia & Xu, Xiu-Zhen & Zhang, Shi-Yun, 2023. "Reliability assessment of a stochastic-flow distribution network with carbon emission constraint," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    3. Ludmiła Filina-Dawidowicz & Anna Wiktorowska-Jasik, 2022. "Contemporary problems and challenges of sustainable distribution of perishable cargoes: Case study of Polish cold port stores," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 4434-4450, March.

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