Mohammed. Mekidiche

Work place: Faculty of Economics and Commerce, University of Tlemcen, -Maghnia Annex –Algeria



Research Interests: Neural Networks, Control Theory, Comparative Programming Language Analysis, Program Analysis and Transformation


Mékidiche Mohammed is currently Assistant Professor in the faculty of economics and commerce, University of Tlemcen, Maghnia Annex,  Algeria, where he teaches Statistics and econometric, Operations Research, applied microeconomics and production planning, He received  the MS degree and PH.D in production and operations Management from Economics and commerce Faculty, University of Tlemcen in Algeria- .His research project is optimization in production planning, Multi Criteria Decision Making and Fuzzy Sets Theory, fuzzy goal programming, Quality control, Time series analysis and its application in forecasting,  neural network and its application in management, He has published several articles in journals.

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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