Model for Evaluating Outsourcing Logistics Companies in the COVID-19 Pandemic

Cheng-An Tsai, Tien-Hwa Ho, Jyh-Shyan Lin, Chien-Chih Tu and Che-Wei Chang
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Cheng-An Tsai: Department of Business Administration, Shih Chien University, Taipei 104336, Taiwan
Tien-Hwa Ho: Department of Information Management, Yuanpei University of Medical Technology, Yuanpei St., Xiangshan District, Hsinchu City 30015, Taiwan
Jyh-Shyan Lin: Department of Information Management, Yuanpei University of Medical Technology, Yuanpei St., Xiangshan District, Hsinchu City 30015, Taiwan
Chien-Chih Tu: Department of Information Management, Yuanpei University of Medical Technology, Yuanpei St., Xiangshan District, Hsinchu City 30015, Taiwan
Che-Wei Chang: Department of Recreational & Graduate, Institute of Recreational Sport Management, National Taiwan University of Sport, Taichung City 404401, Taiwan

Logistics, 2021, vol. 5, issue 3, 1-15

Abstract: The COVID-19 pandemic has severely affected the world’s manufacturing industry, particularly in terms of the continued increase in logistics costs that has led to an increase in business operating costs. This study proposes a two-stage model for evaluating the most appropriate outsourcing logistics companies for a manufacturing factory. In the first stage, a modified Delphi method was used to recruit experienced experts to determine criteria for evaluating outsourcing logistics vendors and establish a hierarchical structure. In the second stage, the analytic hierarchy process (AHP) was used to evaluate suitable logistics companies based on the hierarchical structure. Finally, a case study was conducted to demonstrate the suitability of the two-stage model for evaluating outsourcing logistics companies for reducing logistics costs while maintaining service quality. The proposed model can be used as a basis for evaluating outsourcing logistics companies.

Keywords: logistics; outsourcing; Delphi method; analytic hierarchy process; COVID-19 pandemic (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2021
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