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Design of efficient systems of commercial material handling equipment for supply chain and logistics facilities using DEA

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  • Mohsen M.D. Hassan
  • Amar Oukil

Abstract

The purpose of this paper is to assist designers and logistics/manufacturing managers in designing efficient material handling (MH) systems from compatible commercial MH models that meet user requirements and have desired specifications using data envelopment analysis (DEA). The latter approach helps consider both technical and economic aspects of MH and ranks candidate commercial models and systems. The results show that attractive systems and their commercial models to be acquired should have low cost, require small space, and have high capacity. The application presented herein enhances formation of supply chains, where a MH system is a key component, and relieves users of the need to assume and estimate data relating to operations in a facility as it uses only data that are available during the design of a new system, and eliminates through modelling the need to quantify qualitative factors.

Suggested Citation

  • Mohsen M.D. Hassan & Amar Oukil, 2021. "Design of efficient systems of commercial material handling equipment for supply chain and logistics facilities using DEA," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 39(2), pages 241-272.
    • Handle: RePEc:ids:ijlsma:v:39:y:2021:i:2:p:241-272
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    Cited by:

    1. Amar Oukil & Srikrishna Madhumohan Govindaluri, 2020. "A hybrid multi‐attribute decision‐making procedure for ranking project proposals: A historical data perspective," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 461-472, April.

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