Technology Selection by Optimization under Uncertainties - Application for an Assembly of a Mechanical Device

Abstract:

In this paper several optimization strategies for decision making in presence of uncertainties and discreet number of alternatives are considered. A new optimization criterion is proposed and applied for all strategies. In order to illustrate the decision making process, assembly of a mechanical device – hydraulic gear pump is investigated. All optimization strategies are applied, evaluated, compared and analyzed for it before a final decision regarding the technology selection is reached. As a main optimization criterion it is proposed to be used minimum combined cost of the required labor and necessary equipment. In this case study the uncertain parameters are: volume of production and margin of the salaries. The goal is to improve on working conditions and to consider the number of employs. This is done in according to the social trends of the strategy "Europe 2020".

• Periodical: Applied Mechanics and Materials (Volume 859)
• Pages: 204-209
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.859.204
• Online since: December 2016
• Authors: Lyudmila Ivanova Baltova*, Alexandar Kamenov Ichtev
• Keywords: Assembly Technology Selection, Decision Making, Optimization Strategies, Uncertainties

References

[1] S. Stoyanov, Optimization of technological processes, first edition, Technica, Sofia, 1993, ISBN 954-03-0256-0.

[2] S. Stoyanov, Methods and algorithms for optimization under incomplete information, lectures at Technical University of Gabrovo, (2013).

[3] G. Dinev, I. Malakov, D. Docev, L. Baltova, Selection of options for assembly of mechanical product, Journal of Mechanical Engineering and Mechanical Science, 2010, year V, volume 10, issue 1, pp.12-16.

[4] L. Baltova, A. Ichtev, Application of Preliminary Graph Analytical Analysis for Assembly Technology Selection of Mechanical Device - Gear Hydraulic Pump in Presence of Uncertainty, Proceedings of Technical University-Sofia, 2015, volume 65, book 1, pp.373-380.

[5] H. Gaspars-Wieloch, On a decision rule for mixed strategy searching under uncertainty on the basis of the coefficient of optimism, Procedia - Social and Behavioral Sciences 110, p.923 – 931.

DOI: 10.1016/j.sbspro.2013.12.938

[6] F. Klocke, K. Arntz, D. Heeschen, Decision-Making Process in Manufacturing Technology Planning for Small Scale Productions, 47th Hawaii International Conference on System Science, p.836 – 845.

DOI: 10.1109/hicss.2014.111

[7] N. Ben Abdallah, S. Destercke, M. Sallak, Easy and optimal queries to reduce set uncertainty, European Journal of Operational Research (2016), http: /dx. doi. org/10. 1016/j. ejor. 2016. 06. 038.

DOI: 10.1016/j.ejor.2016.06.038

[8] M. Basili, A. Chateauneuf, F. Fontini, Precautionary principle as a rule of choice with optimism on windfall gains and pessimism on catastrophic losses, Ecological Economics 67 (2008), p.485 – 491.

DOI: 10.1016/j.ecolecon.2007.12.030