IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v46y2014i10p1066-1078.html
   My bibliography  Save this article

A reliability indicator to measure a stochastic supply chain network with transportation damage and limited production capacity

Author

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

Abstract

This article proposes a reliability measurement for a supply chain network, in which a vertex denotes a supplier, a transfer center, or a customer, while a route connecting a pair of vertices denotes a carrier. Each carrier's available transportation capacity (e.g., number of containers) is not deterministic since the transportation capacity may be partially reserved by other customers. Thus, the supply chain network can be regarded as a Stochastic Supply Chain Network (SSCN). In an SSCN with multiple suppliers and markets, the goods may be damaged due to traffic accident, natural disaster, inclement weather, time, or collision during transportation such that the intact goods may not meet the customer's demands. In addition, the goods supplied by a specified supplier cannot exceed its production capacity, and the total transportation cost cannot exceed a budget. SSCN reliability is defined as the probability that the SSCN can successfully deliver goods to multiple customers subject to a specified level of damage, budget, and limited production capacity. An algorithm is proposed to evaluate the SSCN reliability based on minimal paths. A real case study of a pineapple supply chain network is utilized to demonstrate the utility of the proposed algorithm.

Suggested Citation

  • Cheng-Ta Yeh & Yi-Kuei Lin & Cheng-Fu Huang, 2014. "A reliability indicator to measure a stochastic supply chain network with transportation damage and limited production capacity," IISE Transactions, Taylor & Francis Journals, vol. 46(10), pages 1066-1078, October.
  • Handle: RePEc:taf:uiiexx:v:46:y:2014:i:10:p:1066-1078
    DOI: 10.1080/0740817X.2013.876130
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0740817X.2013.876130
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0740817X.2013.876130?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Huang, Cheng-Hao & Lin, Yi-Kuei, 2024. "Rescue and safety system development and performance evaluation by network reliability," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    3. Niu, Yi-Feng & Gao, Zi-You & Lam, William H.K., 2017. "Evaluating the reliability of a stochastic distribution network in terms of minimal cuts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 75-97.
    4. Cheng-Ta Yeh & Yi-Kuei Lin & Cheng-Fu Huang, 2016. "Vehicle glass distribution reliability measurement under transportation cost constraint," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 10(2), pages 243-263.
    5. Yeh, Cheng-Ta, 2019. "An improved NSGA2 to solve a bi-objective optimization problem of multi-state electronic transaction network," Reliability Engineering and System Safety, Elsevier, vol. 191(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:uiiexx:v:46:y:2014:i:10:p:1066-1078. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/uiie .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.