دانلود مقاله ISI انگلیسی شماره 43631
عنوان فارسی مقاله

مدیریت استعداد در سیستم تولید با استفاده از روش منطق فازی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
43631 2015 10 صفحه PDF سفارش دهید 6740 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Talent management in manufacturing system using fuzzy logic approach
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Computers & Industrial Engineering, Volume 86, August 2015, Pages 127–136

کلمات کلیدی
سیستم تولید - مدیریت منابع انسانی - مدیریت استعداد - منطق فازی
پیش نمایش مقاله
پیش نمایش مقاله مدیریت استعداد در سیستم تولید با استفاده از روش منطق فازی

چکیده انگلیسی

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.

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