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Talent management in manufacturing system using fuzzy logic approach

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dc.contributor.authors Karatop, B; Kubat, C; Uygun, O;
dc.date.accessioned 2020-02-25T11:40:41Z
dc.date.available 2020-02-25T11:40:41Z
dc.date.issued 2015
dc.identifier.citation Karatop, B; Kubat, C; Uygun, O; (2015). Talent management in manufacturing system using fuzzy logic approach. COMPUTERS & INDUSTRIAL ENGINEERING, 86, 136-127
dc.identifier.issn 0360-8352
dc.identifier.uri https://doi.org/10.1016/j.cie.2014.09.015
dc.identifier.uri https://hdl.handle.net/20.500.12619/48128
dc.description.abstract Nowadays, manufacturing companies have been working based on people-oriented approach. Customer satisfaction is currently not only for external customers but also required for internal customers. In this context, human resource is one of the most important resources to manage and vital for manufacturing companies in terms of customers, employees and managers. With this perception, The Human Resource Management (HRM) issue is emerged. HRM enables effective and efficient management of human resources. Manufacturing companies considers that the existing abilities and qualification of its employees is insufficient for achieving their targets. The gap between desired level of capabilities and the existing capabilities of the human recourses should be narrowed. Therefore talent management (TM) concept is introduced in order to deal with the gap and reveal the required personnel profile. TM raises institutional awareness and is a supportive tool for HRM. The TM contributes to remove wastes of the companies and supports self-improvement of its employees. In other words the TM is a key of success about exploring abilities. The aim of this study is to propose a model for investigating competency level of employees and utilizing this information in obtaining a yield in an optimal level from employees' emotional and intellectual capabilities, and experiences. The level of perception and job-ability match of each employee is different. The tests implemented in companies for TM purposes are usually evaluated in crisp logic like black and white. In this study, a fuzzy logic approach is proposed in order to deal with uncertainty and vagueness in assessment of TM. (C) 2014 Elsevier Ltd. All rights reserved.
dc.language English
dc.publisher PERGAMON-ELSEVIER SCIENCE LTD
dc.subject Engineering
dc.title Talent management in manufacturing system using fuzzy logic approach
dc.type Article
dc.identifier.volume 86
dc.identifier.startpage 127
dc.identifier.endpage 136
dc.contributor.department Sakarya Üniversitesi/Fen Bilimleri Enstitüsü/Endüstri Mühendisliği Anabilim Dalı
dc.contributor.saüauthor Kubat, Cemalettin
dc.contributor.saüauthor Uygun, Özer
dc.relation.journal COMPUTERS & INDUSTRIAL ENGINEERING
dc.identifier.wos WOS:000358804500013
dc.identifier.doi 10.1016/j.cie.2014.09.015
dc.identifier.eissn 1879-0550
dc.contributor.author Buket Karatop
dc.contributor.author Kubat, Cemalettin
dc.contributor.author Uygun, Özer


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