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Design and development a model to present practices for implementation cloud manufacturing system

عنوان مقاله: Design and development a model to present practices for implementation cloud manufacturing system
شناسه ملی مقاله: JR_APRIE-8-4_001
منتشر شده در در سال 1400
مشخصات نویسندگان مقاله:

Sania Heidari - Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Sajjad Shoukohyar - Department of Management of Information Technology, Shahid Beheshti University, Tehran, Iran.
Davoud Mohammaditabar - Department of Management of Information Technology, Shahid Beheshti University, Tehran, Iran.
Vahidreza Ghezavati - Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran.

خلاصه مقاله:
The purpose of this paper is to identify and classify the main factors implementing the Cloud Manufacturing Systems (CMS) in the internet service providers company by Fuzzy Cognitive Map (FCM) methodology. Through expert opinions, ۲۰ main factors were identified and classified based on the importance and then a FCM approach was applied for obtaining the relationship between the factors, and all of the impact factors are outputs of expert opinion. The outcomes of the study highlighted those three factors, including customer scoring, R&D, and method development were the most important factors impressing the implementation CMSs. Present practices for implementation CMS are and the relationship between the main factors also impressing CMS by employing the FCM approach in the Iranian internet service provider company. The model obtained in this study guides the managers to identify and classify the important factors of the cloud manufacturing and finally implement it successfully.

کلمات کلیدی:
Cloud Manufacturing System (CMS), Readiness for Change, Implementation, Fuzzy Cognitive Map (FCM)

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1372498/