Asian Journal of Information Technology

Year: 2007
Volume: 6
Issue: 1
Page No. 81 - 88

Equipment Selection by Numerical Resolution of the Hessian Matrix and Topsis Algorithm

Authors : Serradj Tayeb , Bouhadja Ahcene , Poussin Jerome Slimani Omar and Behim Kamel Mouloud

Abstract: The methods of selection are classified in : (1) Elementary methods; (2) Methods of mathematical optimization; (3) Methods of Multi Criterion Decision Making aid (MCDM). The problem of Equipment Selection (ES) is of multi objective nature (minimize the fuel consumption, minimize the machine mass, maximize the machine power etc.). These factors are both qualitative and quantitative according to structure of the selection. It is thus important to synthesize the multi objective approaches in order to clarify their operation and to seize their interest and their difference. We thus present a method of multicriterion aggregation for the Equipment Selection. The Equipment Selection of appropriate machines is one of the most critical decisions in the design and development of a successful production environment in construction and surface mining. Considering the specifications related to the criteria of functional requirements, machine mass, energy consumption and the machine power and the number of available alternative machine in the market, the equipment selection procedure can be quite complicated and time consuming. In this study, a new weighting method of decision matrix based on Hessian matrix is developed. The scores for each criterion and the loader-truck system have been determined for the real conditions of Ben Azzouz quarry, located estern part of Algeria.These calculated scores are used successful in the study of equipment selection using TOPSIS algorithm. Results obtained for the Ben Azzouz quarry show interest of our approach in the decision-making of the choice of the loader-truck system.

How to cite this article:

Serradj Tayeb , Bouhadja Ahcene , Poussin Jerome Slimani Omar and Behim Kamel Mouloud , 2007. Equipment Selection by Numerical Resolution of the Hessian Matrix and Topsis Algorithm. Asian Journal of Information Technology, 6: 81-88.

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