Physical Internet-enabled E-grocery delivery Network:A load-dependent two-echelon vehicle routing problem with mixed vehicles

Liu, Dan; Kaisar, Evangelos I.; Yang, Yang; Yan, Pengyu

doi:10.1016/j.ijpe.2022.108632

Cited by 10 publications

(3 citation statements)

References 49 publications

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“…Regarding autonomous robots, their inefficiency limits their application in LMD owing to the low number of orders delivered per trip. Liu et al (2022) extended the two-level vehicle transportation costs and emissions and proposed a mixed-integer programming model, efficiently solving it using a cluster-based artificial immune algorithm [95]. The results showed that compared to existing methods in the LMD literature, this solution provided a better outcome.…”

Section: Cluster 2: Emphasis On Practical Delivery Performance (Path ...mentioning

confidence: 99%

“…Although emerging transportation methods such as autonomous drone delivery, crowd logistics, and EVs are gradually replacing traditional methods such as trucks, many significant issues remain to be resolved [93]. These include EV battery life and range anxiety problems, crowd logistics scalability, and autonomous robot efficiency challenges in LMD [90,91,95]. Moreover, although scholars have proposed combining traditional transportation methods with autonomous delivery to overcome these obstacles, the research is still mainly limited to simulation experiments and has not been implemented in real-life scenarios.…”

Section: Opportunities Challenges Implications and Limitationsmentioning

confidence: 99%

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Evolution, Challenges, and Opportunities of Transportation Methods in the Last-Mile Delivery Process

Zhu,

Cai,

Lai

et al. 2023

Systems

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The rapid development of modern logistics and e-commerce highlights the importance of exploring various modes of transportation in the last-mile delivery (LMD) process. However, no comprehensive studies exist in the literature exploring all modes of LMD transportation, the changes in these transportation modes, and the commonalities between them. In this study, we address this gap by conducting a systematic review of 150 academic journal articles utilizing a combination of the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) content analysis and text mining analysis. Nine primary transportation methods (parcel lockers, autonomous drones, trucks, bicycles, crowd logistics, electric vehicles, tricycles, autonomous robots, and autonomous vehicles) are identified in this research. Additionally, we provide an analysis of the historical changes in these transportation modes in LMD. Using a bottom-up induction method, we identify the three major clusters of scholarly focus in the LMD literature: emphasis on value co-creation between consumers and logistics providers, practical delivery performance (path optimization or algorithms), and environmental friendliness. Further, we analyze the main themes under each cluster, leading to the identification of opportunities, challenges, and future research agendas. Our findings have implications for scholars, policymakers, and other stakeholders involved in LMD transportation modes.

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Section: Cluster 2: Emphasis On Practical Delivery Performance (Path ...mentioning

confidence: 99%

Section: Opportunities Challenges Implications and Limitationsmentioning

confidence: 99%

Evolution, Challenges, and Opportunities of Transportation Methods in the Last-Mile Delivery Process

Zhu,

Cai,

Lai

et al. 2023

Systems

View full text Add to dashboard Cite

show abstract

“…Building upon the notations introduced in [45][46][47], we present the notations specific to this study.…”

mentioning

confidence: 99%

Enhancing E-Grocery-Delivery-Network Resilience with Autonomous Delivery Robots

Liu,

Kaisar

2023

Applied Sciences

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This paper examines the challenges associated with the efficient planning and operation of an E-grocery delivery system using Autonomous Delivery Robots (ADR) during unforeseen events. The primary objective is to minimize unfulfilled customer demands rather than focusing solely on cost reduction, considering the humanitarian aspect. To address this, a two-echelon vehicle routing problem is formulated, taking into account stochastic service times and demands. Two models, namely a deterministic model and a chance-constraint model, are employed to solve this problem. The results demonstrate that the chance-constraint model significantly reduces unmet demands compared to the deterministic model, particularly when the delivery deadline has a broad time window and the ADR/van speed ratio is moderate.

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Migration to the quadruple bottom line framework for achieving sustainable development goals: the 4Ps of sustainability

Tajbakhsh,

Nematollahi,

Shamsi Zamenjani

2024

Ann Oper Res

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Physical Internet-enabled E-grocery delivery Network:A load-dependent two-echelon vehicle routing problem with mixed vehicles

Cited by 10 publications

References 49 publications

Evolution, Challenges, and Opportunities of Transportation Methods in the Last-Mile Delivery Process

Evolution, Challenges, and Opportunities of Transportation Methods in the Last-Mile Delivery Process

Enhancing E-Grocery-Delivery-Network Resilience with Autonomous Delivery Robots

Migration to the quadruple bottom line framework for achieving sustainable development goals: the 4Ps of sustainability

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