Tuesday 23rd of April 2024
 

Comparative study, based on metamodels, of methods for controlling performance


Aitouche Samia, Mouss Mohamed Djamel, Ratte Sylvie, Kaanit Abdelghafour, Mouss Kinza and Mouss Hayet

The continuing evolution of technology and human behavior puts the company in an uncertain and evolving environment. The company must be responsive and even proactive; therefore, control performance becomes increasingly difficult. Choosing the best method of ensuring control by the management policy of the company and its strategy is also a decision problem. The aim of this paper is the comparative study of three methods: the Balanced Scorecard, GIMSI and SKANDIAs NAVIGATOR for choosing the best method for ensuring the orderly following the policy of the company while maintaining its durability. Our work is divided into three parts. We firstly proposed original structural and kinetic metamodels for the three methods that allow an overall view of a method. Secondly, based on the three metamodels, we have drawn a generic comparison to analyze completeness of the method. Thirdly, we performed a restrictive comparison based on a restrictive set of criteria related to the same aspect example organizational learning, which is one of the bricks of knowledge management for a reconciliation to a proactive organization in an environment disturbed and uncertain, and the urgent needs. We note that we applied the three methods are applied in our precedent works. [1][23]

Keywords: Balanced Scorecard, GIMSI, Navigator SKANDIA, Comparative study, metamodel, performance, knowledge management, proactivity

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ABOUT THE AUTHORS

Aitouche Samia
AITOUCHE SAMIA was born in 1970, in Setif Algeria, graduated from the National Institute of Informatics (INI) Algiers, in 1994. She received a B.Sc. degree from the industrial engineering department University of Batna in 2009. She is currently assistant professor of industrial engineering at the University of Batna at the Laboratory of Automatics and Manufacturing (LAP), her research interests include performance of the industrial systems, support of decision tools, and knowledge management. She currently preparing a PhD Thesis titled “Development of a system of e-Knowledge management for improving performance of a production system” at the LAP Lab (Laboratoire d’Automatique et Productique) at Batna.

Mouss Mohamed Djamel
MOHAMED DJAMEL MOUSS was born in Batna, Algeria, in 1952. He received the B.Sc. degree in Electrical Engineering, in 1982, from the National Polytechnic School of Algiers, Algeria; the M.Sc. degree in Electrical and Computer Engineering, in 1989, from the University Hadj Lakhdar Batna; Algeria; and finally the Ph.D. degree also in Electrical and Computer Engineering, in 2006, University Hadj Lakhdar, Batna; Algeria, and habilitation de diriger des recherché in 2008. He is the head of the industrial engineering department. Dr. Mouss current research interests include performance and dependability of industrial systems in the LAP (Laboratoire d’Automatique et Productique) in Batna.

Ratte Sylvie
Dr Sylvie Ratté is associate professor at ÉTS at the Software Engineering and IT Department. She obtained her Ph.D. from Université du Québec in Montreal in computational linguistics and was a postdoctoral fellow at MIT in cognitive sciences and artificial intelligence. Her main interests of research include Natural Language Processing, Text and Data Mining, Knowledge Representation and Ontological Engineering. She is the director of the Semantic and Cognitive Engineering Laboratory of ÉTS.

Kaanit Abdelghafour
KAANIT ABDELGHAFOUR was born in 1979, at Batna Algeria, graduated from the industrial engineering department – Batna university Algeria in 2002. He received a B.Sc. degree from the same department in 2005. He is currently assistant professor of industrial engineering at the University of Batna at the Laboratory of Automatics and Manufacturing (LAP), his research interests include performance of the industrial systems, support of decision tools, and fuzzy logic. He currently preparing a PhD Thesis in “Analysis and improvement of agility and responsiveness of decision systems” at Lab (Laboratoire d’Automatique et Productique) of Batna.

Mouss Kinza
NADIA KINZA MOUSS was born in Batna, Algeria, in 1960. She received the B.Sc. degree in Electrical Engineering, in 1983, from the National Polytechnic School of Algiers, Algeria; the M.Sc. degree in Electrical and Computer Engineering, in 1984, from the ENSERB, France; and finally the Ph.D. degree also in Electrical and Computer Engineering, in 1986, Bordeaux University, France. After graduation, she joined the University of Batna, Algeria, where she was a Professor of Electrical and Computer Engineering. Pr. Mouss current research interests include Industrial Management and Logistics; decision support, enterprise modelling in the LAP Lab (Laboratoire d’Automatique et Productique) at Batna.

Mouss Hayet
Leila Hayet MOUSS was born in Batna, Algeria, in 1954. She received the B.Sc. degree in Electrical Engineering, in 1979, from the National Polytechnic School of Algiers, Algeria; the M.Sc. degree in Electrical and Computer Engineering, in 1982, from the ENSERB, France; and finally the Ph.D. degree also in Electrical and Computer Engineering, in 1985, Bordeaux University, France. After graduation, she joined the University of Batna, Algeria, where she is a Professor of Electrical and Computer Engineering. Pr. Mouss is a member of New York Science Academy. She is the head of Automatic and Computer Integrated Manufacturing Laboratory. Pr. Mouss current research interests include industrial Diagnosis of production system using the artificial intelligence techniques in the LAP Lab (Laboratoire d’Automatique et Productique) at Batna.


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