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Evaluating Sustainable Last-Mile Delivery (LMD) in B2C E-Commerce Using Two-Stage Fuzzy MCDM Approach: A Case Study from Vietnam

Wang Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology, Kaohsiung, 80778, Taiwan|
Hsien-Pin (7402359902) | Thanh-Tuan (57218565464); Hsu | Ngoc-Ai-Thy (57218570813); Dang Department of Supply Chain Management, National Kaohsiung University of Science and Technology, Kaohsiung, 81157, Taiwan| Chia-Nan (7501640993); Nguyen Department of Logistics and Supply Chain Management, Hong Bang International University, Ho Chi Minh, 723000, Viet Nam|

IEEE Access Số , năm 2021 (Tập 9, trang 146050-146067)

ISSN: 21693536

ISSN: 21693536

DOI: 10.1109/ACCESS.2021.3121607

Tài liệu thuộc danh mục:

Article

English

Từ khóa: Decision making; Decision theory; Electronic commerce; Fuzzy sets; Real time systems; Sensitivity analysis; B2C e-commerce; Conflicting criteria; COVID-19; Fuzzy theory; Last mile; Last-mile delivery; Multi criteria decision-making; Multicriteria decision-making; Multicriterion decision makings; Weight fluctuation; Sustainable development
Tóm tắt tiếng anh
As the world attempts to control the spread of COVID-19 and adapt to shifting limitations, routines, and best practices, online ordering is an absolute necessity. With e-commerce activities surging, businesses in the last-mile delivery (LMD) industry find that their services are needed now more than ever before. Higher expectations of customers for speed, convenience, and sustainability have underlined the importance of reliable last-mile providers. This study aims to evaluate some key LMD companies in Vietnam regarding their sustainability performance. For this evaluation, the present research proposes a fuzzy multi-criteria decision-making (F-MCDM) based framework combining the fuzzy analytic hierarchy process (FAHP) and the fuzzy weighted aggregated sum product assessment (FWASPAS), and triangular fuzzy numbers are applied to express the linguistic evaluation statements of experts. FAHP was utilized for the determination of criteria weights, then based on the most impactful criteria, FWASPAS was used to prioritize the companies. Delivery time, order fulfillment, decarbonization, convenience of payment, and real-time tracking systems have been ranked as the most impactful criteria in the LMD sector. The robustness of the proposed model was tested by conducting a sensitivity analysis. The results reach common rankings, in which Grab Express is the best performing company in the LMD landscape. The obtained results can be utilized as a guideline for the LMD managers and decision-makers to take in-depth consideration on their businesses under broader aspects to win customers and compete with other competitors. � 2013 IEEE.

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