Assessment Model for Ranking Prospective Candidates for the Position of Production Supervisor in a Manufacturing Company

Herowati, Evy and Parung, Joniarto and Marco Gosal, Vincent (2022) Assessment Model for Ranking Prospective Candidates for the Position of Production Supervisor in a Manufacturing Company. In: World Conference on Innovations in Management, Science and Engineering, 29 - 30 December 2022, Pattaya, Thailand.

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Abstract

Human resources have a substantial influence on the success and progress of an organisation, and finding qualified candidates who meet the employment requirements is a common challenge for businesses. However, the average unemployment rate in any nation is typically very high, and together with the difficulty experienced by companies in terms of finding dependable personnel, this highlights the importance of an objective, organised approach to hiring new personnel. This paper proposes a multiple-criteria assessment model that allows a company to rank the fitness level of potential workers to production supervisor position in a manufacturing company. The methods used to evaluate prospective workers are multi-expert.analytic.hierarchy.process (multi-expert AHP) and preference. ranking. organization. method for enrichment. evaluation (PROMETHEE). The criteria for selecting production supervisors were categorised into subjective and objective types, and were customised for use by company XYZ. The criteria weights were determined using Multi-expert AHP. The experts provided their scores for the significance of the criteria via pairwise comparisons; these scores were then aggregated based on their level of expertise in evaluating criteria, and the criteria weights were established. Finally, PROMETHEE was used to determine the ranking of the prospective candidates for the position of production supervisor in company XYZ.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Ranking, Promethee, Multi-expert AHP, expertise-based expert’s importance weights
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions:	Faculty of Engineering > Department of Industrial Engineering
Depositing User:	Evy Herowati 6108
Date Deposited:	31 Jan 2023 05:48
Last Modified:	31 Jan 2023 05:48
URI:	http://repository.ubaya.ac.id/id/eprint/43202

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