• Title of article

    Home Submit Manuscript Journal Info Guide for Authors Editors Special Issues Indexing and Abstracting Publication Ethics Review Page Browse Contact Us Design and development a model to present practices for implementation cloud manufacturing system

  • Author/Authors

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

  • Pages
    14
  • From page
    309
  • To page
    322
  • 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, 20 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
    Fuzzy Cognitive Map (FCM) , Readiness for change Implementation , Cloud Manufacturing System (CMS)
  • Journal title
    Journal of Applied Research on Industrial Engineering
  • Serial Year
    2021
  • Record number

    2688695