Mostefa Belmokaddem

Work place: Faculty of Economics and Commerce, University of Tlemcen, Algeria



Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Combinatorial Optimization, Statistics


Mostefa Belmokaddem, Doctor of Economics, University professor - was graduate of the Faculty of Economics at the University of Oran in 1977 and worked as assistant lecturer and professor at the Faculty of Economics University of Tlemcen (Algeria). After receiving his Ph.D. (1982)in the Theoretical Statistics and Economics at the Academy of Economic Studies in Bucharest, he worked as a Lecturer at the Faculty of Economics, University of Tlemcen, Algeria, (1982-1989 ), Lecturer (1988-1990) and professor (1990 to present). He has participated in international scientific events and a summer school (Valencia, Spain). It presents his ideas on a wide band of key issues in microeconomics, the various techniques to aid decision making by providing useful information for each discipline and research projects. He is the author of handouts and has published several articles in journals. His research project is applied statistics and econometrics, fuzzy set, optimization, Goal programming, Multi criteria decision making.

Author Articles
Weighted Additive Fuzzy Goal Programming Approach to Aggregate Production Planning

By Mohammed. Mekidiche Mostefa Belmokaddem Zakaria Djemmaa

DOI:, Pub. Date: 8 Mar. 2013

This study presents a new formulation of Weighted Additive fuzzy goal programming model developed by Yaghoobi and Tamiz [21]. and Yaghoobi et al [22] for aggregate production planning (WAFGP-APP), The proposed formulation attempts to minimize total production and work force costs, carrying inventory costs and rates of changes in Work force. A real-world industrial case study demonstrates applicability of proposed model to practical APP decision problems. LINGO computer package has been used to solve final crisp linear programming problem package and getting optimal production plan.

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Application of Weighted Additive Fuzzy Goal Programming Approach to Quality Control System Design

By Mohammed. Mekidiche Mostefa Belmokaddem

DOI:, Pub. Date: 8 Oct. 2012

The problem of decision-making in designing a quality control system (QCS), is one of the most difficult problems decisions facing the manager in the industrial firms , this problem of decision requires of fixing the levels of inputs and variables that meet the required output specifications. in the context of the problem a QCS, the parameters can be imprecise and expressed through intervals or fuzzy. The aim of this study is to presents the formulation for designing a QCS based on Weighted fuzzy goal programming (WAFGP) developed by Yaghoobi and Tamiz [12] and Yaghoobi et al [13], the advantage of the proposed formulation as a linear , use all types of membership functions and integrate explicitly the decision-maker’s preference . Finally, we compare the results of our model with the major important mathematical models used in the QCS It has been shown that the best model.

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Other Articles