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A personal-computer assisted decision support system for private versus common carrier selection

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  • Min, Hokey

Abstract

This paper presents a personal-computer assisted decision support system (DSS) which aims at aiding logistics managers in selecting the most appropriate transportation choice between private and common carriers. In contrast with a traditional stand-alone system, this DSS is designed for integration with the company's internal data base systems, the analytic hierarchy process model base and user controlled dialogue systems for 'what-if' scenarios. The Master Lock case example provided in this paper illustrates how the proposed DSS can be utilized for carrier selection decisions and related contingency planning in dynamic distribution environments.

Suggested Citation

  • Min, Hokey, 1998. "A personal-computer assisted decision support system for private versus common carrier selection," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 34(3), pages 229-241, September.
  • Handle: RePEc:eee:transe:v:34:y:1998:i:3:p:229-241
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    Cited by:

    1. Djurdjica Stojanović & Svetlana Nikoličić & Milica Miličić, 2011. "Transport Fleet Sizing By Using Make And Buy Decision-Making," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 56(190), pages 77-102, July – Se.
    2. Marcos Singer & Patricio Donoso & Sven Widdel, 2007. "¿Premian Las Tarifas El Desempeño Del Transportista?," Abante, Escuela de Administracion. Pontificia Universidad Católica de Chile., vol. 10(1), pages 21-55.
    3. Ziebuhr, Mario & Kopfer, Herbert, 2016. "Solving an integrated operational transportation planning problem with forwarding limitations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 149-166.
    4. Sara Martins & Pedro Amorim & Bernardo Almada-Lobo, 2018. "Delivery mode planning for distribution to brick-and-mortar retail stores: discussion and literature review," Flexible Services and Manufacturing Journal, Springer, vol. 30(4), pages 785-812, December.

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