An Integrated fuzzy AHP-TOPSIS for the Last Mile Delivery Mode Selection

Noppakun Sangkhiew*, Choosak Pornsing, Shunichi Ohmori, Arnat Watanasungsuit

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This paper presents a combined fuzzy Analytic Hierarchy Process (fuzzy AHP) and fuzzy Technique for Order Preference by Similarity to an Ideal Solution (fuzzy TOPSIS) for selecting the last mile delivery modes of online-shopping customers’ perspective. There are 8 criteria: office hours, payment options, convenience, product security, delivery cost, environment friendliness, flexibility, direct delivery, and 4 alternatives: attended home delivery, unattended home delivery, manned collection point, and unmanned collection point in this study. There are 1,098 respondents from 23 countries, 3 continents on the online survey. The fuzzy AHP is conducted to quantify the weights to 8 criteria and the fuzzy TOPSIS is conducted to rank 4 delivery modes in line with the weighted criteria. The result shows that customers are quite concerned about product security. This affects selection of attended home delivery mode and manned collection point mode as the first preference and the second preference, respectively. This study also shows that large-group decision making is plausible and is not burdensome on calculation.

Original languageEnglish
Pages (from-to)265-280
Number of pages16
JournalScience and Technology Asia
Issue number4
Publication statusPublished - 2022 Oct 1


  • AHP
  • Decision science
  • Last mile delivery
  • Logistics
  • Multi-criteria decision making

ASJC Scopus subject areas

  • Mathematics(all)
  • Agricultural and Biological Sciences(all)
  • General


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