Assessing Individual Fitness for Research and Development Position using Fuzzy AHP and Pareto: Case Study in Manufacturing Industry

I Ronyastra, Evy Herowati, Rahman Wahyudi, Joniarto Parung, Christanto Henadi

2021

Abstract

Research and development function play significant role in the success of company’s venture and this function has a strict set of recruitment criteria to ensure company can find a good candidate among applicants. The strict recruitment criteria can be time and money consuming while still prone to wrong recruitment which can lead to a high turnover for the company. To help companies in selecting competent candidates for the workforce, there is a potential workforce self-assessment model made for industrial engineering students or graduates. The assessment model is created in advance by identifying the criteria for research and development job positions required by the manufacturing industry. The criteria that have been identified are grouped based on categories and based on the same understanding. Furthermore, Pareto 80/20 method is used to find out the most influential criteria and Fuzzy Analytical Hierarchy Process (FAHP) method is using expert considerations whose consistency was tested using the Analytical Hierarchy Process (AHP) consistency test. The expert used in this research is a professional from a manufacturing company in Indonesia. The research identified 5 objective criteria where analytical capabilities has the most weight and 4 subjective criteria where problem solving skill has the most weight, to be considered. The model provides fitness in terms of suitability percentage for the R&D job.

Paper Citation

in Harvard Style

Ronyastra I., Herowati E., Wahyudi R., Parung J. and Henadi C. (2021). Assessing Individual Fitness for Research and Development Position using Fuzzy AHP and Pareto: Case Study in Manufacturing Industry. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 619-625. DOI: 10.5220/0010950000003260

in Bibtex Style

@conference{icast-es21,
author={I Ronyastra and Evy Herowati and Rahman Wahyudi and Joniarto Parung and Christanto Henadi},
title={Assessing Individual Fitness for Research and Development Position using Fuzzy AHP and Pareto: Case Study in Manufacturing Industry},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={619-625},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010950000003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - Assessing Individual Fitness for Research and Development Position using Fuzzy AHP and Pareto: Case Study in Manufacturing Industry
SN - 978-989-758-615-6
AU - Ronyastra I.
AU - Herowati E.
AU - Wahyudi R.
AU - Parung J.
AU - Henadi C.
PY - 2021
SP - 619
EP - 625
DO - 10.5220/0010950000003260