Supply Chain Performance Evaluation Models, State-of-the-Art and Future Directions
Mouhsene Fri1, Faycal Fedouaki2, Kaoutar Douaioui3, Charif Mabrouki4, El Alami Semma5
1Mouhsene Fri, Professor in School of Textile and Clothing Industries, Morocco.
2Faycal Fedouaki, Associate Professor in the Department of Industrial Engineering, Higher National School of Arts and Crafts, at Hassan University Settat, Morocco.
3Kaoutar Douaioui, Member in the in Laboratory of Engineering, Industrial Management and Innovation, Hassan University Settat, Morocco.
4Charif Mabrouki, Professor and Researcher of logistics Engineering and Transportation at Hassan University Settat, Morocco.
5El Alami Semma, Professor and Researcher at Hassan University Settat, Morocco.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 6336-6347 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2049109119/2019©BEIESP | DOI: 10.35940/ijeat.A2049.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Continuous improvement in supply chain performance creates value not only for businesses, but also for customers and suppliers who interact in different levels. Given the criticality of supply chain management, companies use different maturity models to measure their performance. Currently, there are many performance evaluations models and the choice of the appropriate model for the company depends on several criteria. This work presents a review of all supply chain performance evaluation models and highlights the characteristics and constraints of the implementation of each supply chain performance evaluation models. This work will provide a good guideline to managers to choose the appropriate model for their organization.
Keywords: Supply chain performance evaluation models, Global supply chain, Benchmarking, Performance measurement system.