Title: The Kalos balanced: a novel integrated performance assessment and improvement method

Authors: Seyed Mostafa Bahadornia; Seyed Mohammad Khalili

Addresses: School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran ' Department of Industrial Engineering, Faculty of Engineering, Khayyam University, Mashhad, Iran Fax: +9851-35251999

Abstract: These days, managers are surrounded by the extensive spectrum of decision-making environments which are more acute both in quantity and quality. Consequently, it is necessary to utilise expert multiple attribute decision-making methods which fit the mentioned environment. To achieve this goal, a novel balanced multiple criteria improvement method, Kalos balanced, has been proposed in this article which not only evaluates candidates but also provides a mathematical model for improving the desired candidate. Despite the traditional weight multiplication methods, a novel smooth weighing function has been offered in this study which leads to moderate assessment and balanced improvement based on mathematical proofs. Finally, an example has been assessed and improved based on the mentioned system.

Keywords: multiple attribute decision making; performance assessment; performance improvement.

DOI: 10.1504/IJOR.2023.130859

International Journal of Operational Research, 2023 Vol.47 No.1, pp.1 - 15

Received: 04 Jul 2020
Accepted: 05 Sep 2020
Published online: 13 May 2023 *

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