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The influence of the human-machine interface on operational performance through supply chain agility

Tarigan, Zeplin Jiwa Husada and Siagian, Hotlan and Palumian, Yonathan and Sutapa, I Nyoman (2023) The influence of the human-machine interface on operational performance through supply chain agility. [UNSPECIFIED]

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      Abstract

      Manufacturing companies continue to carry out activities by maximizing the role of the human machine interface. Its function is to provide work effectiveness and efficiency, compliance with social distancing at the working place, and maintain the production optimum utilization level of machines. The human-machine interface, semi-automatic or fully automatic, gives a significant role to operators and supervisors in company operations to monitor production results in real time. This study examines the influence of human-machine interface adoption on operational performance through supply chain agility. Questionnaires were distributed to 77 companies in East Java, and 56 questionnaires were considered valid for analysis. The data processing results show that the human-machine interface impacts the supply chain agility with a path coefficient of 0.665. The human-machine interface affects operational performance with a path coefficient of 0.334. Similarly, supply chain agility impacts operational performance with a path coefficient of 0.306. The human-machine interface affects operational performance through an agile supply chain with a path coefficient 0.203. This result implies that firm management needs to consider adopting HMI technology to improve the firms performance and competitive advantage. This work could also contribute to the current research in operations and supply chain management.

      Item Type: UNSPECIFIED
      Uncontrolled Keywords: Human-machine interface, Operational performance, Supply chain agility
      Subjects: T Technology > TS Manufactures
      H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
      Divisions: Faculty of Industrial Technology > Industrial Engineering Department
      Depositing User: Admin
      Date Deposited: 09 Sep 2023 12:02
      Last Modified: 06 Mar 2024 17:27
      URI: https://repository.petra.ac.id/id/eprint/21093

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