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Logistics Processes Prioritization in the Agrifood Sector

Author

Listed:
  • Folinas, Dimitris
  • Aidonis, Dimitris
  • Manikas, Ioannis
  • Bochtis, Dionysis

Abstract

As logistics become a substantial part of a firm's operations, the corresponding processes increases in importance. Identifying key logistics processes using a structured approach will align their outcomes to deliver the business goals, design appropriate measures and allocate sufficient resources for their improvement. This paper proposes a methodological framework for the identification, categorization and prioritization of logistics processes in the agrifood sector. Finally, a proposed mathematical model for the prioritization of logistics processes is presented. The proposed model is based on the fundamental idea of Data Envelopment Analysis (DEA) method, measuring the efficiency of the logistics processes by taking into account the multiple inputs utilised and outputs produced by them.

Suggested Citation

  • Folinas, Dimitris & Aidonis, Dimitris & Manikas, Ioannis & Bochtis, Dionysis, 2015. "Logistics Processes Prioritization in the Agrifood Sector," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 4(2), January.
    • Handle: RePEc:ags:ijameu:262354
    DOI: 10.22004/ag.econ.262354
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, December.
    2. Thomas W. Malone & Kevin Crowston & Jintae Lee & Brian Pentland & Chrysanthos Dellarocas & George Wyner & John Quimby & Charles S. Osborn & Abraham Bernstein & George Herman & Mark Klein & Elissa O'Do, 1999. "Tools for Inventing Organizations: Toward a Handbook of Organizational Processes," Management Science, INFORMS, vol. 45(3), pages 425-443, March.
    3. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
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