Modified Strategies for Assembly Technology Selection of a Mechanical Device by Performing Optimization under Uncertainties - Volume 7 Number 4 (Aug. 2017) - ijmo
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General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2017 Vol.7(4): 213-217 ISSN: 2010-3697
DOI: 10.7763/IJMO.2017.V7.586

Modified Strategies for Assembly Technology Selection of a Mechanical Device by Performing Optimization under Uncertainties

Alexandar Ichtev and Lyudmila Baltova
Abstract—In this paper the investigated problem is how to choose assembly technology for particular mechanical device. The selection process is performed by application of optimization strategies in the presence of uncertainties and discreet number of alternative assembly technologies. Six strategies with proposed new optimization criterion are presented and discussed. In this paper, as a main optimization criterion, it is proposed to minimize the combined cost of labour and equipment (with respect to a single manufactured product). In addition to those strategies, in this paper, three new and modified strategies are proposed, which involve certain social aspects in the decision making process. The problem solution is demonstrated on a particular manufacturing problem - assemble of a mechanical device (hydraulic gear pump).

Index Terms—Optimization strategies, uncertainties, decision making, assembly technology selection.

Lyudmila I. Baltova is with Department of Fundamentals and Technical Means of Design, the Faculty of Mechanical Engineering at the Technical University of Sofia – Bulgaria (e-mail: lbaltova@tu-sofia.bg).

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Cite: Alexandar Ichtev and Lyudmila Baltova, "Modified Strategies for Assembly Technology Selection of a Mechanical Device by Performing Optimization under Uncertainties," International Journal of Modeling and Optimization vol. 7, no. 4, pp. 213-217, 2017.

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