IJIMT 2019 Vol.10(1): 56-60 ISSN: 2010-0248
doi: 10.18178/ijimt.2019.10.1.836

QR Code on Mobile Platform for Improving Order Picking Process of Lean Factory Warehouse

Anirut Pipatprapa
Abstract— Driven by rising customer expectation for good quality product, accurate order fulfillment and fast delivery, which factory warehouse management plays important role for linking manufacturers and customers. With regarding the factory warehouse problems, order picking process has high labor intensive cost and operational cost and non-value adding activity for almost every factory warehouse. Therefore, to increase order picking efficiency, the objective was to investigate QR code on mobile platform for improving order picking process of lean factory warehouse. To eliminate waste in order picking process, quick response code (QR) on mobile platforms of smartphone was proposed for factory warehouse solution. The operation research was used with Nakhon-Ratchasima province’s electronic manufacturing company of Thailand. The results indicated that QR code on mobile platform was an effective tools to reduce order picking process waste (i.e., travel time and waiting waste) and increase productivity. The picker can directly scan the QR code using smartphone after that can find the items immediately. According to the results, firm’s manager should employ the finding of this study to support decision making to smart factory warehouse management through using technology and electronic device such as smartphone.

Index Terms— QR code, lean factory warehouse, electronic device, manufacturing industry.

Anirut Pipatprapa is with the Department of Management, Business Administration Faculty, Rajamangala University of Technology Isan, No.744, Suranarai Road, Mueang District, Nakhon Ratchasima Province 30000, Thailand (email: anirut87@hotmail.com).

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Cite: Anirut Pipatprapa, " QR Code on Mobile Platform for Improving Order Picking Process of Lean Factory Warehouse," International Journal of Innovation, Management and Technology vol. 10, no. 1, pp. 56-60, 2019.

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