Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/131228
Title: Manufacturing Industry Performance Appraisals: Multi-Criteria Decision-Making Model
Authors: Andriani, D. P.
Wijayanti, F.
Rahmani, I. V.
Aini, A. P. N.
Issue Date: 2022
Publisher: Penerbit UTHM
Citation: Andriani, DP, Wijayanti, F, Rahmani, IV & Aini, APN 2022, 'Manufacturing Industry Performance Appraisals: Multi-Criteria Decision-Making Model', International Journal of Integrated Engineering, Том. 14, № 6, стр. 28-37. https://doi.org/10.30880/ijie.2022.14.06.003
Andriani, D. P., Wijayanti, F., Rahmani, I. V., & Aini, A. P. N. (2022). Manufacturing Industry Performance Appraisals: Multi-Criteria Decision-Making Model. International Journal of Integrated Engineering, 14(6), 28-37. https://doi.org/10.30880/ijie.2022.14.06.003
Abstract: Companies with assessment criteria often consider only the leader's subjectivity and ignore other criteria. Limited appraisal criteria result in shortcomings in the decision-making process. This study examines the performance appraisal in a plastic manufacturing company's production floor and develops a multi-criteria decision-making model for performance appraisal by considering company criteria. We propose a qualitative approach using the analytic network process to determine the weighted criteria and sub-criteria to evaluate performance by involving all criteria. The results show that qualitative performance criteria yield higher scores for workers than the quantitative performance criteria, thereby confirming that subjectivity and qualitative criteria influence performance appraisal in the manufacturing industry. A multi-criteria decision-making model is required in performance appraisals to determine the overall measurable criteria. Moreover, this study contributes to an empirical solution for achieving an effective human resource management system. © Universiti Tun Hussein Onn Malaysia Publisher’s Office
Keywords: ANALYTIC NETWORK PROCESS
DECISION ANALYSIS
MANUFACTURING INDUSTRY
MULTI-CRITERIA DECISION MAKING
PERFORMANCE APPRAISAL
URI: http://elar.urfu.ru/handle/10995/131228
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85142272653
WOS ID: 001126282000003
PURE ID: 32803015
020c404a-a81e-46f4-8a42-6e93cc14a836
ISSN: 2229-838X
DOI: 10.30880/ijie.2022.14.06.003
metadata.dc.description.sponsorship: Universitas Brawijaya, UB
The authors express gratitude to Brawijaya University, Malang, Indonesia, for extraordinary support.
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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