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Journal Articles International Journal of Computer Integrated Manufacturing Year : 2023

Methodology combining industry 4.0 technologies and KPI’s reliability for supply chain performance

Abstract

In the context of internationalization, the supply chain (SC) becomes complex with a profusion of decisions to take. SC modeling and performances have been widely discussed by researchers. The emergence of new technologies impacts the running and key performance indicators (KPI) of SC. There are several models of SC but none of them are oriented towards SC operations management, given importance of Industry 4.0 technologies. This paper presents a research methodology using a reference model called GRAILOG to capture decisions and related KPI’s to control the SC. Then, the methodology PPTechIP is described and applied to accompany the company on the relevant digital transformation to improve performances. PPTechIP is based on a set of radars divided into different decision levels and SC functions based on the GRAILOG model. The calculated potential of progress helps in decision-making. This complete method was applied to PSA which is entering the Industry 4.0 era. The obtained results provide several interesting insights into PSA's control indicators. Big Data, augmented reality, collaborative robots and Cloud Computing are receiving a lot of attention from PSA and are considered as priorities for the control of its processes.
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Dates and versions

hal-03954416 , version 1 (24-01-2023)

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Yousra El Kihel, Anne Zouggar-Amrani, Yves Ducq, Driss Amegouz, Ahmed Lfakir. Methodology combining industry 4.0 technologies and KPI’s reliability for supply chain performance. International Journal of Computer Integrated Manufacturing, 2023, ⟨10.1080/0951192X.2022.2162605⟩. ⟨hal-03954416⟩
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