Convergence and Flexibility for Last-Mile Delivery of Citizen-Centric Services: A Case Study from Nabarangpur, Odisha

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

IEEE Access ◽

10.1109/access.2021.3121607 ◽

2021 ◽

pp. 1-1

Author(s):

Chia-Nan Wang ◽

Ngoc-Ai-Thy Nguyen ◽

Thanh-Tuan Dang ◽

Hsien-Pin Hsu

Keyword(s):

Two Stage ◽

Last Mile ◽

Fuzzy Mcdm ◽

Last Mile Delivery

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Challenges and Opportunities in Last Mile Delivery: A Malaysian Case Study

10.23919/icac50006.2021.9594254 ◽

2021 ◽

Author(s):

Satya Shah ◽

Marvin Chan

Keyword(s):

Last Mile ◽

Challenges And Opportunities ◽

Last Mile Delivery

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Six Sigma in Urban Logistics Management—A Case Study

Sustainability ◽

10.3390/su13084302 ◽

2021 ◽

Vol 13 (8) ◽

pp. 4302

Author(s):

Justyna Lemke ◽

Kinga Kijewska ◽

Stanisław Iwan ◽

Tomasz Dudek

Keyword(s):

Six Sigma ◽

Production Systems ◽

Root Cause ◽

Sigma Level ◽

Last Mile ◽

Completion Process ◽

Transfer Services ◽

Last Mile Delivery

A city as a system that constitutes one of the most important areas of human activities. The significant role to fulfill their expectations pay the goods transport and deliveries. These issues are the subject of urban logistics. In broad terms, urban logistics may be construed as a number of processes focused on freight flows, which are completed in cities, including deliveries, supply, goods transfer, services, etc. Due to the different urban logistics stakeholders’ expectations, these systems generate many challenges for managers, especially in the context of city users’ needs and their quality of life. Today, there is a lack of broadened approach and methodology to support them from the processes’ efficiency perspective. To fulfill this gap, the purpose of this paper is to apply the Six Sigma method as a support in last mile delivery management. Six Sigma method plays important role in production systems processes management. However, it could be useful in much wider perspective, including transport and logistics processes. The Authors emphasize that the Six Sigma method could be efficient approach in the last mile delivery processes’ analysis in the context of their efficiency. It helps positioning the customer satisfaction level and quantify the delivery processes defects, related to the undelivered goods. Following that it could improve significantly the last mile delivery processes efficiency. The concept is illustrated by a sample evaluation of one of the urban logistics processes: completion of deliveries. To this end, urban logistics processes were defined. In particular, the delivery completion process was mapped, and the process client was defined along with their expectations. The defects that occurred in the process were identified and analyzed. A DPMO (Defect per Million Opportunities) indicator was established for three randomly selected months. In addition, a root cause analysis of errors was performed. The sigma level for the studied process ranged from 2.61 to 2.89. The factor that had the greatest impact on the number of defects defined as failed deliveries was customer’s absence. The obtained results indicate that the delivery process should be examined in more detail.

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Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade

European Transport Research Review ◽

10.1186/s12544-021-00501-6 ◽

2021 ◽

Vol 13 (1) ◽

Author(s):

Vladimir Simić ◽

Dragan Lazarević ◽

Momčilo Dobrodolac

Keyword(s):

Urban Areas ◽

High Reliability ◽

Real Life ◽

Delivery Mode ◽

Uncertain Information ◽

Logistics Industry ◽

Last Mile ◽

Picture Fuzzy Set ◽

Last Mile Delivery

Abstract Background Last-mile delivery (LMD) is becoming more and more demanding due to an increasing number of users and traffic problems in cities. Besides, medical crises (like the COVID-19 outbreak) and air pollution represent additional motives for the transition from traditional to socially and environmentally sustainable LMD mode. An emerging problem for companies in the postal and logistics industry is how to determine the best LMD mode in a multi-criteria setting under uncertainty. Method For the first time, an extension of the Weighted Aggregated Sum Product ASsessment (WASPAS) method under the picture fuzzy environment is presented to solve the LMD mode selection problem. The introduced picture fuzzy set (PFS) based multi-criteria decision-making (MCDM) method can be highly beneficial to managers who are in charge of LMD since it can take into account the neutral/refusal information and efficiently deal with high levels of imprecise, vague, and uncertain information. The comparative analysis with the existing state-of-the-art PFS-based MCDM methods approved the high reliability of the proposed picture fuzzy WASPAS method. Its high robustness and consistency are also confirmed. The presented method can be used to improve LMD in urban areas worldwide. Besides, it can be applied to solve other emerging MCDM problems in an uncertain environment. Findings A real-life case study of Belgrade is presented to fully illustrate the potentials and applicability of the picture fuzzy WASPAS method. The results show that postomates are the best mode for LMD in Belgrade, followed by cargo bicycles, drones, traditional delivery, autonomous vehicles, and tube transport.

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