Abstract
The paper demonstrates the concept of selecting workers for production tasks with the use of fuzzy logic. Mamdani-type fuzzy inference method was used to design a controller whose task was to aid the decision-making process. Fuzzy interference system converted a number of qualitative features into quantitative variables, which enabled calculating deviations and their comparison. Moreover, a simulation model of a discrete manufacturing system with an implemented fuzzy controller was developed. conducted simulation provided detailed data regarding the investigated selection process.
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References
Gola, A., Świć, A.: Computer-Aided Machine Tool Selection for Focused Flexibility Manufacturing Systems Using Economical Criteria. Actual Problems of Economics 124(10), 383–389 (2011)
Kłosowski, G., Gola, A., Świć, A: Application of fuzzy logic controller for machine load balancing in discrete manufacturing systems. In: Intelligent Data Engineering and Automated Learning–IDEAL 2015. Lecture Notes in Computer Science, vol. 9375, pp. 256–263 (2015)
Mossa, G., Boenzi, F., Digiesi, S., Munnolo, G., Romano, V.A.: Productivity and ergonomic risk in human based production systems: A job-rotation scheduling model. International Journal of Production Economics 171, 471–477 (2016)
Relich, M., Świć, A., Gola, A.: A knowledge-based approach to product concept screening. In: 12th International Conference on Distributed Computing and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol. 373, pp. 341–348 (2015)
Gola, A., Relich, M., Kłosowski, G., Świć, A.: Mathematical Models for Manufacturing Systems Capacity Planning and Expansion. Applied Mechanics and Materials 791, 125–131 (2015)
Ganguly, S.: Human error vs. work place management in modern organizations. International Journal of Research in Management and Technology 1(1), 13–17 (2011)
Factors leading to human errors. https://oshwiki.eu/wiki/Human_error
Wilsher, S.: Behavior profiling: implications for recruitment and team building. Strategic Direction 31(9), 1–5 (2015)
Grayson, M.L., Macesic, N., Huang, G.K., Bond, K., Fletcher, J., Gilbert, G.L., et al.: Use of an Innovative Personality-Mindset Profiling Tool to Guide Culture-Change Strategies among Different Healthcare Worker Groups. PLoS ONE 10(10), e0140509 (2015)
Kłosowski, G., Gola, A., Świć, A.: Human Resource Selection for Manufacturing System Using Petri Nets. Applied Mechanics and Materials 791, 132–140 (2015)
Md Saad, R., Ahmad, M.Z., Abu, M.S., Jusoh, M.S.: Some fuzzy techniques for staff selection process: a survey. In: AIP Conference Proceedings, vol. 1522, p. 462 (2013)
Samuel, O.W., Omisore, M.O., Atajeromavwo, E.J.: Online fuzzy based decision support system for human resource performance appraisal. Measurement 55, 452–461 (2014)
Sitek, P.: A hybrid CP/MP approach to supply chain modelling, optimization and analysis. In: Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 1345–1352 (2014)
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Kłosowski, G., Gola, A., Świć, A. (2016). Application of Fuzzy Logic in Assigning Workers to Production Tasks. In: Omatu, S., et al. Distributed Computing and Artificial Intelligence, 13th International Conference. Advances in Intelligent Systems and Computing, vol 474. Springer, Cham. https://doi.org/10.1007/978-3-319-40162-1_54
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DOI: https://doi.org/10.1007/978-3-319-40162-1_54
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