Supporting Tool for The Transition of Existing Small and Medium Enterprises Towards Industry 4.0

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Tác giả: Mohammad Arani, Miguel Baritto, Md Mashum Billal, S. M. Muntasir Nasim, Ahmed Jawad Qureshi, Rumana Afroz Sultana

Ngôn ngữ: eng

Ký hiệu phân loại: 338.454 Automation

Thông tin xuất bản: 2020

Mô tả vật lý:

Bộ sưu tập: Metadata

ID: 165441

Comment: This paper is accepted by the "International Conference on Data Analytics for Business and Industry", and it will be published by IEEE Xplore. (http://data20.uob.edu.bh/)The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, machine learning (ML), radio-frequency identification (RFID), robotics, 3D-printing, and Internet of Things (IoT) offers Small and Medium Enterprises (SMEs) the chance to improve productivity and efficiency, reduce cost and provide better customer experience, among other benefits. The main purpose of this work is to propose a methodology to support SMEs managers in better understanding the specific requirements for the implementation of Industry 4.0 solutions and the derived benefits within their firms. A proposed methodology will be helpful for SMEs manager to take a decision regarding when and how to migrate to Industry 4.0.
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