The selection of technology based on the need to improve transportation route management of SME logistics service using digital technology and Lean Thinking in Khon Kaen province
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Abstract
This study aims to integrate digital technologies with Lean Thinking to enhance the efficiency of SMEs in Khon Kaen, Thailand. The research eliminating waste through appropriate digital tools. A qualitative study was conducted using focus group discussions with 12 logistics experts and SME operators, each with over 5 years of experience. The data were analyzed to evaluate and compare the practical performance of various technologies. Results show that the Vehicle Routing Problem (VRP) technology optimizes operations by reducing travel distance, aligning with Lean principles of waste reduction. In data analytics, Excel and Power BI received the highest score of 61 points, highlighting their strength in supporting decision-making and streamlining processes. Advanced tools such as Excel VBA and Power BI earned 31 points for specialized capabilities. Other technologies, including SQL (23 points), RPA (18 points), and VR/AR (13 points), scored lower, suggesting limited suitability for small enterprises with simple structures and limited resources, though they may become more relevant as businesses grow. In conclusion, adopting VRP technology and data analytics tools within Lean Thinking offers an effective strategy to improve the competitiveness of small logistics businesses in Khon Kaen, laying a foundation for sustainable regional growth.
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