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A logistics deployment decision support system at Pfizer

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Listed:
  • Tan Miller
  • Emmanuel Peters
  • Vijay Gupta
  • Oduntan Bode

Abstract

We constructed a decision-support-system (DSS) to help the distribution network of Pfizer plan the daily deployment of finished goods inventory across its network. Utilizing databases, programming languages, spreadsheets and data inputs from the firm’s ERP; this system guides daily shipments of critical inventory between plants, distribution centers and copackers. This DSS improved the firm’s ability to effectively utilize its storage capacity and meet customer shipping requirements across a widely dispersed network. Copyright Springer Science+Business Media, LLC 2013

Suggested Citation

  • Tan Miller & Emmanuel Peters & Vijay Gupta & Oduntan Bode, 2013. "A logistics deployment decision support system at Pfizer," Annals of Operations Research, Springer, vol. 203(1), pages 81-99, March.
    • Handle: RePEc:spr:annopr:v:203:y:2013:i:1:p:81-99:10.1007/s10479-010-0775-1
    DOI: 10.1007/s10479-010-0775-1
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    References listed on IDEAS

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    6. Bloemen, R. & Maes, J., 1992. "A DSS for optimizing the aggregate production planning at Monsanto Antwerp," European Journal of Operational Research, Elsevier, vol. 61(1-2), pages 30-40, August.
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    Cited by:

    1. Rajesh Kr. Singh & Angappa Gunasekaran & Pravin Kumar, 2018. "Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach," Annals of Operations Research, Springer, vol. 267(1), pages 531-553, August.
    2. Christos Lemonakis & Nikolaos Sariannidis & Alexandros Garefalakis & Anastasia Adamou, 2020. "Visualizing operational effects of ERP systems through graphical representations: current trends and perspectives," Annals of Operations Research, Springer, vol. 294(1), pages 401-418, November.
    3. Raut, Rakesh D. & Gardas, Bhaskar B. & Narwane, Vaibhav S. & Narkhede, Balkrishna E., 2019. "Improvement in the food losses in fruits and vegetable supply chain - a perspective of cold third-party logistics approach," Operations Research Perspectives, Elsevier, vol. 6(C).

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