A low-cost intelligent tracking system for clothing manufacturers

Yen Sheng Tsai () and Wei-Hsi Hung ()
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Yen Sheng Tsai: National Chengchi University
Wei-Hsi Hung: National Chengchi University

Journal of Intelligent Manufacturing, 2023, vol. 34, issue 2, No 5, 473-491

Abstract: Abstract The traceability of products in supply chains is crucial. The low-cost information collection system, tools, and transparent information proposed in this study were used to effectively manage and assign work on clothing production lines. In this system, each manufactured product was assigned a unique identification number. Information collection tools and collected data were continuously used in the supply chain. In clothing production lines, work is generally assigned based on the experience and intuition of production line team leaders rather than factual data. Therefore, when a production line team leader or worker leaves, management efficiency drops, which compromises production capacity. This study used information technology to develop a suitable management system to collect live production data and display the data on screens for analysis and interpretation. Consequently, new team leaders without experience can use the data provided to continue managing the production lines. The study results showed that the work assignment system converted team leaders’ experience into reliable data. In addition, all products maintained a consultable production history.

Keywords: Design science research; Smart clothing manufacturers; Supply chain management; Intelligent tracking system; QR code (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10845-021-01788-x

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