Rattanakijsuntorn, Waralee

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Rattanakijsuntorn, Waralee
Alternative Name
Rattanakijsuntorn, W.
Rattanakijsuntorn, Waralee Peetawan
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Email
waralee.pe@kmitl.ac.th

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    Item type:Publication,
    Application of EFA and AHP in the Last-Mile Delivery Service in Thailand
    (2023-01-01)
    Rattanakijsuntorn, W.
    Significant growth in electronic commerce in the 2010s has led to substantial expansion in last-mile delivery service for packages. Shifts in people's daily lifestyles also stimulate demand for the delivery of groceries and ready-to-consume meals. While the increasing number of last-mile delivery service providers offers customers more alternatives, the decision-making process involves more factors than just price and time. This paper aims to reveal factors affecting the decision to select last-mile delivery service providers by using exploratory factor analysis and analytical hierarchy process. Data were collected in two periods for differential analysis. It has been found that apart from price, quality, and time, customers are also concerned about the safety of online transactions and service innovation. Alarmingly, the environment is the least influential decision factor, leading to recommendations to further investigation on green practices awareness in the industry.
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    A Systematic Literature Review of Last-Mile Delivery: Analyzing Current Situations and Identifying Research Gaps for Future Perspectives
    (2025-01-01)
    Akkawuttiwanich, Piyanee
    ;
    Noom, Sai Pim Khay
    ;
    Sanganate, Phuwit
    ;
    Rattanakijsuntorn, Waralee
    Last-mile delivery (LMD) has become a critical challenge in logistics, driven by the rapid rise of e-commerce and growing consumer expectations for speed, flexibility, and sustainability. Despite significant advances in optimization models, simulation techniques, and machine learning applications, existing reviews remain fragmented and offer limited comparison of methodological strengths. This study addresses this gap through a systematic literature review of LMD research published between 2019 and 2025, following the PRISMA framework. Out of 162 screened publications, 33 were analyzed using bibliometric mapping in R and methodological clustering in Python. The analysis identifies four methodological streams: optimization and mathematical modeling, simulation and heuristics, multi-criteria and learning models, and literature-based analytical studies. Beyond classification, the study highlights critical gaps, including the limited integration of behavioral factors, financial trade-offs, and policy implications. By mapping methodological trends and proposing targeted research directions, this work provides a foundation for advancing more resilient, adaptive, and sustainable last-mile delivery systems.
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    Assessing the UAVs' Requirements and Capabilities For Humanitarian Logistics Operations in Thailand
    (2023-01-01)
    Yeh, Natthajira
    ;
    Siriwat, Chatchaya
    ;
    Weeraburus, Nichapat
    ;
    Rattanakijsuntorn, Waralee
    This article aims to identify and assess the design requirements and capabilities of unmanned aerial vehicles used in the area of humanitarian logistics, particularly for the delivery of aid packages, to alleviate the impact and casualties from natural disaster's victims in Thailand. Designed restrictions and sub-restrictions were identified from past literature and an expert interview. By applying a multi-criteria decision-making analysis tool, which is the analytical hierarchy process, design restrictions and sub-restrictions was quantified and prioritized. Primary data was collected through private, face-to-face interviews. Respondents are UAV pilots, UAV developers from associated industries, and UAV researcher. The computed outputs revealed that the payload capacity of the UAVs, the weight of aid packages, the flight range, and the battery power capacity were among the sub-restrictions with the highest relative importance, while flight performance is the most important restrictions in the drones' design requirements. On the contrary, the speed of UAV and the operating cost were the sub-restrictions with the smallest effect.