Design and development a model to present practices for implementation cloud manufacturing system
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 182
This Paper With 14 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_APRIE-8-4_001
تاریخ نمایه سازی: 20 دی 1400
Abstract:
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.
Keywords:
Cloud Manufacturing System (CMS) , Readiness for Change , Implementation , Fuzzy Cognitive Map (FCM)
Authors
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.
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :