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      Design Concept of Information Control Systems for Green Manufacturing Industries with IoT-Based Energy Efficiency and Productivity

      , , ,
      Leuser Journal of Environmental Studies
      PT. Heca Sentra Analitika

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          Abstract

          In today's and future industrial competition, IoT and the Fourth Industrial Revolution are unavoidable. Indonesia must be prepared to compete globally in an increasingly efficient and integrated industry, including efficient energy use and renewable energy. This issue has received little strategic and scientific thought, particularly in Indonesia. This study purposes to create a conceptual model of an information control system in the industry, which will include operational performance. The method involves four steps. Firstly, the process flow within the industry is comprehensively analyzed, including the input, process, and output (IPO) aspects. Secondly, all information pertaining to each production process is integrated into the information system. Thirdly, a management control system (MCS) is proposed, incorporating key performance indicators (KPIs), allowing real-time monitoring by management. Lastly, real-time information data on resource sharing is submitted to the information sharing control system within similar industrial clusters. This enables related business parties to optimize their resource utilization based on the provided information. The results show that green manufacturing can be initiated by controlling energy-saving and productivity-related KPIs. The concept of IoT green manufacturing depends on active involvement from the government, industry and the public. A crucial aspect of this system is how the industry effectively manages production performance through shop floor control (SFC).

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          A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements

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                Author and article information

                Journal
                Leuser Journal of Environmental Studies
                Leuser J. Environ. Stud.
                PT. Heca Sentra Analitika
                2988-7038
                June 22 2023
                June 28 2023
                : 1
                : 1
                : 9-17
                Article
                10.60084/ljes.v1i1.36
                994953bb-7517-48c9-8fe7-dec0a7f4abf0
                © 2023

                https://creativecommons.org/licenses/by-nc/4.0

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