Title: Assessment of human resource competence and performance indicator

Authors: Chahinaze Fikri Benbrahim; Naoufal Sefiani; Anouar Meddaoui; Kamal Reklaoui

Addresses: Engineering Research Team, Innovation and Management of Industrial Systems, Faculty of Sciences and Techniques of Tangier (FSTT), Abdelmalek Essaadi University, Ancienne Route de l'Aéroport, Km 10, Ziaten, BP: 416, Tangier, Morocco ' Engineering Research Team, Innovation and Management of Industrial Systems, Faculty of Sciences and Techniques of Tangier (FSTT), Abdelmalek Essaadi University, Ancienne Route de l'Aéroport, Km 10, Ziaten, BP: 416, Tangier, Morocco ' Engineering Research Team, Innovation and Management of Industrial Systems, Faculty of Sciences and Techniques of Tangier (FSTT), Abdelmalek Essaadi University, Ancienne Route de l'Aéroport, Km 10, Ziaten, BP: 416, Tangier, Morocco ' Engineering Research Team, Innovation and Management of Industrial Systems, Faculty of Sciences and Techniques of Tangier (FSTT), Abdelmalek Essaadi University, Ancienne Route de l'Aéroport, Km 10, Ziaten, BP: 416, Tangier, Morocco

Abstract: This research is an attempt to present a new approach for the assessment of collective competence level (CCL) as far as supply chain (SC) is concerned. The approach consists of three main stages, which can be introduced as follows: the first stage concerns the calculation of the performance indicators (PIs) related to the company's production such as: the workload, efficiency of manpower, and overall equipment effectiveness. The second stage deals with the calculation of the CCL of the team while exploiting the PIs calculated in the first stage. The third stage, however, knows the application of two methods, by integrating CCL method to make a comparative study, using the fuzzy logic, which allows a data processing to fuzzy values using subjective elements, and the TOPSIS method, that gives a satisfactory solution, close to perfect performance. The approach is experimented through an application by an automotive company.

Keywords: individual competence; human resources; evaluation; collective competence level; CCL; performance indicators; supply chain management; SCM; production management; quality; fuzzy logic; TOPSIS; overall equipment effectiveness; OEE; workload; manpower efficiency; automotive supply chains; automobile industry.

DOI: 10.1504/IJPMB.2017.080937

International Journal of Process Management and Benchmarking, 2017 Vol.7 No.1, pp.20 - 37

Available online: 07 Nov 2016 *

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