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A global performance analysis methodology using Taguchi approach: case of cloud computing and supply chain

Author

Listed:
  • Awatif Ragmani
  • Amina El Omri
  • Noreddine Abghour
  • Khalid Moussaid
  • Mohammed Rida

Abstract

Nowadays, performance optimisation is identified as the major asset to maximise the quality-cost ratio of a given system. Particularly, the performance analysis of a complex system involving several processes and a multitude of stakeholders cannot be done without an efficient methodology. During this paper, we aim at the implementation of a generic methodology for performance analysis taking as a framework the case of cloud computing and supply chain. The proposed methodology is based on the fundamental idea of transforming a complex system into a black box which will be analysed through different inputs corresponding to the influential factors and outputs which translate the key performance indicators. The analysis of the interactions between influential factors and key performance indicators is carried out on the basis of the Taguchi concept. The conclusions of the proposed methodology make it possible to identify diverse perspectives in order to enhance the performance of the entire system.

Suggested Citation

  • Awatif Ragmani & Amina El Omri & Noreddine Abghour & Khalid Moussaid & Mohammed Rida, 2020. "A global performance analysis methodology using Taguchi approach: case of cloud computing and supply chain," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 37(2), pages 252-284.
    • Handle: RePEc:ids:ijlsma:v:37:y:2020:i:2:p:252-284
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    Cited by:

    1. Asta Valackiene & Rasa Andrijauskaite, 2021. "Model for Assessing Information Logistics Systems in Banks: Lithuanian Case Study," Logistics, MDPI, vol. 5(3), pages 1-19, June.

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