Application of hybrid madm methods for performance evaluation in manufacturing

Jiří  Franek; Katerina  Kashi

doi:10.23762/fso_vol5no2_17_4

Published : 2017-06-14

Vol. 5 No. 2 (2017)

Application of hybrid madm methods for performance evaluation in manufacturing

Jiří Franek

Katerina Kashi

DOI: https://doi.org/10.23762/fso_vol5no2_17_4

Abstract

The paper is focused on the application of methods of multiple attribute decision making methods and techniques from the perspective of top managers. Attention is paid to the decomposition of multiple-criteria methods of decision making under certainty, which can be used to determine allocation of preferences to criteria, attributes or variables in a wide range of tasks in the field of business economics and management. the goal of the paper is to present a systematic decision making procedure that combines selected multiple attribute decision making (MADM) methods of SAW and cOPrAS-G combined with analytic hierarchy process (AHP) for performance evaluation with practical example on performance evaluation in a manufacturing company. AHP is applied to facilitate group decision making among managers and to set their priorities for further performance evaluation.

Keywords:

analytic hierarchy process, multiple attribute decision making, cOPrAS-G, performance evaluation

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Franek, J. ., & Kashi, K. . (2017). Application of hybrid madm methods for performance evaluation in manufacturing. Forum Scientiae Oeconomia, 5(2), 41–54. https://doi.org/10.23762/fso_vol5no2_17_4

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References

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Jiří Franek

jiri.franek@vsb.cz

Affiliation:

VSB – Technical University of Ostrava, Czech Republic Czechia

Bio Statement (e.g., department and rank)

Jiří Franek graduated from the Faculty of Economics VSB-Technical University of Ostrava as a master of Business Economics in 2009 and received his Ph.D. diploma in 2016. He is currently employed as a senior lecturer at the Department of Business Administration since 2012. His scientific interests encompass multiple attribute decision making methods and their application under real business conditions He has published his research papers at several scientific conferences and journals.

Katerina Kashi

katerina.kashi@vsb.cz

Affiliation:

VSB – Technical University of Ostrava, Czech Republic Czechia

Bio Statement (e.g., department and rank)

Katerina Kashi is the fifth year student of doctoral study, the program Business economics and Management. Within her research she has been dealing with the utilization of multiple criteria decision making methods in the area of human resources management. Her main research topics include competency models, employees’ remuneration and employees training and development systems.