Design of sustainable urban electronic grocery distribution network

Liú, Dan; Deng, Zhenghong; Zhang, Wei-Bin; Wang, Yinhai; Kaisar, Evangelos I.

doi:10.1016/j.aej.2020.06.051

Cited by 29 publications

(26 citation statements)

References 31 publications

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“…Not only regulations, but also customers are more susceptible to environmental aspects; the survey of Ignat et al [174] revealed that displaying environmental and social impacts of last-mile deliveries influence e-commerce customers, and generally makes them more likely to choose more sustainable solutions. Many more studies consider the environmental impact caused by the increasing volumes of last-mile deliveries and returns [175][176][177][178][179][180][181][182][183][184][185][186][187][188][189][190][191][192][193]. Brown et al [194] performed a comprehensive comparison between conventional shopping involving customers pick-up versus e-commerce shopping involving last-mile delivery to customer's home in terms of carbon emissions.…”

Section: Outbound Logisticsmentioning

confidence: 99%

Implementing E-Commerce from Logistic Perspective: Literature Review and Methodological Framework

et al. 2022

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E-commerce is always more diffused as a selling channel around the whole world market, and its importance has increased and continues to increase with the COVID-19 pandemic emergency. It provides enterprises a lot of opportunities, as the importance of physical stores to sell goods is bypassed. However, it has also changed the role of logistics in the supply chain. For this reason, this work aims to identify the main logistics research areas related to e-commerce implementation and the factors and key performance indicators, which should be taken into account for each logistics research area, with particular attention to sustainable aspects. For doing this, a structured and comprehensive literature analysis is carried out. Keywords associated with e-commerce and logistics areas are matched to identify the most interesting works related to its implementation. From the analysis, five main research areas are identified: Supply Chain Network Design (SCND); Outbound Logistics (OL); Reverse Logistics (RL); Warehousing (WR); and IT and data management (E-IT). For each area, key factors, strategies and performance indicators have been identified. Finally, a methodological framework that summarizes the results of the analysis is presented; this is a useful tool for managers to implement or expand their e-commerce business. Many works are focused on one research area, carrying out critical factors, models, and methods to implement that topic. Instead, the methodological framework presented here summarizes multiple research areas from a logistic point of view, identifying for each one input and output variables and how they influence each other.

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Section: Outbound Logisticsmentioning

confidence: 99%

Implementing E-Commerce from Logistic Perspective: Literature Review and Methodological Framework

et al. 2022

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“…As a result, practitioners innovated in many concepts, among which unmanned aerial vehicles (drones) and autonomous delivery robots that take charge of the delivery of orders stand out (Boysen et al 2020). Furthermore, authors such as Liu et al (2020) developed a multi-objective optimization model in which these alternatives are introduced to meet the expectations of customers. The aim of this mathematical model is to determine the optimal locations of the depots, optimize the number of orders delivered and the associated routes.…”

Section: Last-mile Order Shipping Processesmentioning

confidence: 99%

A mixed integer linear programming model to support e-fulfillment strategies in warehouse-based supermarket chains

Vazquez‐Noguerol

Comesaña-Benavides

Riveiro-Sanroman

et al. 2021

Cent Eur J Oper Res

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The use of the online channel has greatly increased the logistics costs of supermarket chains. Even the difficulty of managing order picking and delivery processes has increased due to the short delivery times and the preservation of perishable products. Against that backdrop, the proposed approach presents a mathematical model for planning the e-fulfillment activities with the objective of ensuring maximum efficiency. The linear programming model has been designed for e-grocers that prepare their online orders at central warehouses. The mathematical model determines both the time windows during which picking and transport should take place and the assignment of trucks to delivery routes. The allocation of online orders is performed taking into account the conservation requirement of each type of product and the availability of means. Considering this planning tool, managers can improve the decision-making process guaranteeing the quality of service while reducing the e-fulfillment cost for joint picking and delivery point of view. Motivated by a cooperation with a supermarket chain, results bring great insight based on the simulation of different logistics alternatives. Companies and researchers can compare the strategy of leveling the workload and the strategy of reducing the number of means, a common alternative in logistics outsourced to third parties. In addition, the different scenarios developed make it possible to determine the substantial savings achieved by modifying the delivery services and advancing the order preparation. As a result, managerial insights are identified highlighting the importance of efficient order planning to improve the profitability of online sales.

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“…In [5], an overview of the use of deep reinforcement learning in transportation research is provided. In [9], a method for vehicle routing and distribution of goods using drones is proposed; however, it did not factor in failure scenarios. The authors of [7] discuss fault-tolerant path planning mechanisms; however, they do not provide mechanisms for other vehicles to take over a failed vehicle's load.…”

Section: Related Workmentioning

confidence: 99%

SOSChain

Prathiba

Raja

Anbalagan

et al. 2021

Proceedings of the 1st Workshop on Artificial Intelligence and Blockchain Technologies for Smart Cities With 6G

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Global climate change has led to a steep rise in natural disasters. In these times, it is essential to provide emergency last-mile delivery to disaster-affected populations using connected delivery trucks; however, this gives rise to several challenges. There is an unpredictable demand for resources and the need for fault-tolerant path planning in case the trucks are subjected to attack or breakdowns. Resources must be tracked prevent theft and maldistribution. To achieve these objectives, we use a hybrid UAV-Truck architecture for last-mile relief distribution. To increase the delivery operation's robustness, we propose a Self-Optimizing StreamChain (SOSChain) that tracks and controls the status of trucks and their onboard resources. During failure scenarios, the use of information in the SOSChain enables other vehicles to optimally re-route and redistribute resources from damaged vehicles. Extensive simulation shows that SOSChain achieves over 25% improvement in throughput and up to 50% reduction in ordering latency compared to StreamChain approach in a simulated disaster environment with up to 50% vehicle failure rate.

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Design of sustainable urban electronic grocery distribution network

Cited by 29 publications

References 31 publications

Implementing E-Commerce from Logistic Perspective: Literature Review and Methodological Framework

Implementing E-Commerce from Logistic Perspective: Literature Review and Methodological Framework

A mixed integer linear programming model to support e-fulfillment strategies in warehouse-based supermarket chains

SOSChain

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