scholarly journals "Sustainability evaluation of last mile food delivery: pick up point using lockers versus home delivery"

2018 ◽  
Author(s):  
Sameh M. Saad ◽  
Ramin Bahadori
Keyword(s):  
Supply Chain ◽  
Service Delivery ◽  
Simulated Annealing Algorithm ◽  
Time Window ◽  
Home Delivery ◽  
Food Delivery ◽  
Optimal Number ◽  
Home Service ◽  
Last Mile ◽  
Last Mile Delivery

"The Last mile delivery is known as one of the most costly and highest polluting stages within the food supply chain where food companies deliver the food products to the final consumers. As a new approach in this area, currently, a few food retailers offering pick up point service delivery using lockers. This paper provides a comprehensive comparison of the sustainability performance between home service delivery and picks up point service delivery using lockers. Hypothetical last mile food models for both approaches are developed. A Vehicle Route Problem with Time Window (VRPTW) is developed to minimise the CO2 emission and implemented using the simulated annealing algorithm which is programmed in MATLAB software. Supply Chain GURU Software is adapted to implement the Greenfield analysis to identify the optimal number and the location of the locker facilities through a Greenfield service constraint."

scholarly journals A Disruption Recovery Problem with Time Windows Change in the Last Mile Delivery of Online Shopping

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Li Jiang ◽  
Changyong Liang ◽  
Junfeng Dong ◽  
Wenxing Lu ◽  
Marko Mladenovic
Keyword(s):  
Online Shopping ◽  
Time Window ◽  
Time Windows ◽  
Home Delivery ◽  
Delivery Mode ◽  
Variable Neighborhood Descent ◽  
Last Mile ◽  
Last Mile Delivery ◽  
Disruption Recovery ◽  
Recovery Problem

Frequent time window changing disruptions result in high secondary delivery rates in the last mile delivery. With the rapid growth of parcel volumes in online shopping, the time window changing disruptions could translate to substantial delivery cost-wastes. In recent years, customer pickup (CP), a new delivery mode that allows customers to pick up their parcels from shared delivery facilities, has provided a new way to deal with such disruptions. This study proposed a disruption recovery problem with time windows change in the last mile delivery in which customers can be served through home delivery (HD) or CP. A variant variable neighborhood descent (VVND) algorithm was presented to solve the problem. Computational experiments based on a set of instances were tested, and results were compared with other heuristics in the literature, which have affirmed the competitiveness of the model and algorithm.

Last-mile logistics in the sharing economy: sustainability paradoxes

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Btissam Moncef ◽  
Marlène Monnet Dupuy
Keyword(s):  
Service Providers ◽  
Primary Source ◽  
Sharing Economy ◽  
Food Delivery ◽  
Logistics Management ◽  
Exploratory Research ◽  
Content Type ◽  
Face To Face ◽  
Last Mile ◽  
Last Mile Delivery

PurposeThe purpose of this paper is to explore sustainability paradoxes in sharing economy initiatives by focusing on logistics management in last-mile logistics.Design/methodology/approachIn this exploratory study, a total of 10 case studies were conducted in three categories of companies: anti-waste platforms, food delivery platforms and bicycle delivery companies. Twenty-seven face-to-face interviews with founders and/or managers and contractors (couriers, logistics service providers or volunteers) were the primary source of data collection. The heterogeneity of the sample enabled the authors to build an understanding of sustainability paradoxes in the logistics of sharing economy initiatives.FindingsThe findings indicate how logistics management impacts the sustainability of sharing economy initiatives in last-mile delivery. The authors identify seven paradoxical tensions (five of them social) generated by the contradictions between the organizations' promised environmental and social values and the impacts of their operations.Research limitations/implicationsThis exploratory research is based on a qualitative study of 10 cases and 27 interviews from heterogeneous samples; further empirical research is needed to ensure generalization.Practical implicationsThe paper increases the understanding of environmental and social paradoxical tensions and awareness of logistics challenges.Social implicationsThe paper helps identify ways to reconcile promised values and impacts generated by sharing economy initiatives while managing last-mile delivery.Originality/valueThe results enrich the literature about the paradoxes in sharing economy initiatives by providing illustrations in last-mile logistics and exposing the underlying challenges for sharing economy logistics actors.

scholarly journals Real-Time Decision Making in First Mile and Last Mile Logistics: How Smart Scheduling Affects Energy Efficiency of Hyperconnected Supply Chain Solutions

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1833 ◽  
Author(s):  
Tamás Bányai
Keyword(s):  
Energy Efficiency ◽  
Supply Chain ◽  
Energy Consumption ◽  
Real Time ◽  
Real Time Scheduling ◽  
Improve Energy Efficiency ◽  
Increase Energy Efficiency ◽  
Last Mile ◽  
Time Scheduling ◽  
Last Mile Delivery

Energy efficiency and environmental issues have been largely neglected in logistics. In a traditional supply chain, the objective of improving energy efficiency is targeted at the level of single parts of the value making chain. Industry 4.0 technologies make it possible to build hyperconnected logistic solutions, where the objective of decreasing energy consumption and economic footprint is targeted at the global level. The problems of energy efficiency are especially relevant in first mile and last mile delivery logistics, where deliveries are composed of individual orders and each order must be picked up and delivered at different locations. Within the frame of this paper, the author describes a real-time scheduling optimization model focusing on energy efficiency of the operation. After a systematic literature review, this paper introduces a mathematical model of last mile delivery problems including scheduling and assignment problems. The objective of the model is to determine the optimal assignment and scheduling for each order so as to minimize energy consumption, which allows to improve energy efficiency. Next, a black hole optimization-based heuristic is described, whose performance is validated with different benchmark functions. The scenario analysis validates the model and evaluates its performance to increase energy efficiency in last mile logistics.

Design of Carbon Efficient Online Logistics Networks

2014 ◽  
Vol 962-965 ◽  
pp. 1444-1449
Author(s):  
Guang Yong Yang
Keyword(s):  
Carbon Emission ◽  
Home Delivery ◽  
Design Constraint ◽  
Logistics Network ◽  
Logistics Networks ◽  
Last Mile ◽  
Emission Regulations ◽  
Brick And Mortar ◽  
Last Mile Delivery ◽  
Delivery Network

With development of internet network, more traditional brick-and-mortar firms sell products via online channels. The key feature of online channels is home delivery, hence, how to design efficient online logistics networks has been the core problem faced by online firms. Furthermore, with increasing pollution of ecological environment and global warming, more carbon emission regulations enacted and implemented also impact firms operation and decision. This paper mainly study online logistics networks design constraint from carbon emission regulations. We analyze the following three types of networks, dropping delivery network (D), delivery network via distribution center (W), and last mile delivery network (L). Combining carbon emission from inbound and outbound transportation, and emission from inventory storage, we design optimal logistics networks and then analyze online logistics network design of Sunfeng best choice firm.

scholarly journals LOCAL DEPOT-BASED URBAN SUPPLY CHAIN FOR LIVEABLE CITIES

2020 ◽  
Vol 6 (159) ◽  
pp. 153-160
Author(s):  
A. Rossolov ◽  
O. Lobashov ◽  
A. Botsman
Keyword(s):  
Supply Chain ◽  
Delivery System ◽  
Carrying Capacity ◽  
Last Mile ◽  
Study Results ◽  
System Functioning ◽  
System States ◽  
Direct And Indirect Impacts ◽  
Indirect Impacts ◽  
Last Mile Delivery

The paper presents the theoretical and experimental study results on construction sustainable urban supply chain, namely last mile delivery. Within the theoretical part we proposed to estimate the necessary number of local depots within the supply chain taking into account the direct and indirect impacts from a delivery system functioning. The indirect effect is presented with CO2 emissions. The conducted experiment has covered the pes-simistic and optimistic scenarios for delivery system states. Within the experiment along with demand attributes we assessed the range of vehicle carrying capacity from 0.5 to 2 tons. The obtained experimental results revealed the shift in necessary local depots number to guarantee the sustainable effect for delivery system and promote liveable state for the urban area.

scholarly journals Multimodal Automated Last-Mile Delivery System: Design and Application

2021 ◽  
Author(s):  
Farah Samouh
Keyword(s):  
Delivery System ◽  
Hybrid System ◽  
Urban Areas ◽  
Food Delivery ◽  
Efficient System ◽  
Fleet Size ◽  
Agent Based ◽  
Last Mile ◽  
Last Mile Delivery ◽  
Two Hybrid

This thesis focuses on exploring the emerging automated technologies for last-mile on-demand food delivery as a new means of transportation to reduce congestion in urban areas. In order to achieve that 4 systems are designed and evaluated: Robot delivery system, drone delivery system and two hybrid delivery systems. Both hybrid systems are based on hub-spoke networks, Hybrid System 1.0 uses robots for phase one of the delivery and drones for phase two Hybrid System 2.0 uses drones for phase one and robots for phase two. To evaluate the efficiency of these systems, an in-house agent-based simulation model in MATLAB is developed for the City of Mississauga. 30 scenarios are tested differing in terms of demand and fleet size. The results show that Hybrid system 2.0 is the most efficient system of all four proposed due to the use of hub, customer waiting time and landing zones for drones.

scholarly journals Research at the Intersection of Entrepreneurship, Supply Chain Management, and Strategic Management: Opportunities Highlighted by COVID-19

2020 ◽  
Vol 46 (8) ◽  
pp. 1330-1341 ◽  
Author(s):  
David J. Ketchen ◽  
Christopher W. Craighead
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Strategic Management ◽  
Entrepreneurial Orientation ◽  
Chain Management ◽  
Supply Chain Agility ◽  
Last Mile ◽  
Management Concepts ◽  
Optimal Distinctiveness ◽  
Last Mile Delivery

Since the early 2000s, research at the intersection of entrepreneurship and strategic management has flourished, as has work at the intersection of strategic management and supply chain management. In contrast, little inquiry has occurred at the intersection of entrepreneurship and supply chain management. This presents a tremendous opportunity, as does the relative lack of work bringing together all three fields. We seek to set the stage for exploiting these opportunities by first describing how incorporating a series of key supply chain concepts—omni-channel, last-mile delivery, supply chain agility, supply chain resiliency, and service recovery—could enrich entrepreneurship research. We then explain how the boundaries of key entrepreneurship concepts—opportunity, entrepreneurial orientation, optimal distinctiveness, bricolage, and fear of failure—could be extended to the supply chain context. Both of these moves bring strategic management concepts into play, as well. In accomplishing our tasks, we draw on examples from how firms attempted to navigate the COVID-19 pandemic via moves spanning entrepreneurship, supply chain management, and strategic management.

"Agent-based simulation of restaurant deliveries facilitating cargo-bikes and urban consolidation"

2018 ◽  
Author(s):  
Christian Fikar ◽  
Manfred Gronalt
Keyword(s):  
Urban Areas ◽  
Optimization Procedure ◽  
Simulation Models ◽  
Food Delivery ◽  
Agent Based ◽  
Last Mile ◽  
Last Mile Delivery ◽  
Cargo Bike ◽  
The Impact ◽  
Urban Consolidation

"Last-mile distribution in urban areas is challenged by congestion and restriction for motorized traffic. To support operations, this work investigate the impact of operating urban consolidation points and facilitating cargo-bikes for urban last-mile distribution. Motivated by sample setting originating from the food delivery industry, a decision support system combining agentbased simulation with heuristic optimization procedure is developed. It considers a logistics provider who performs the last-mile delivery for multiple competing restaurants in an urban area. Therefore, both demand and the availability of cargo-bikes, which are operated by freelancers, are subject to randomness. Computational experiments investigate the impact of the available amount of cargo-bike drivers as well as the number of operated consolidation points, highlighting the importance of facilitating simulation models to support operations in highly dynamic and uncertain settings."

scholarly journals The last-mile logistical challenges of an omnichannel grocery retailer: A South African perspective

2018 ◽  
Vol 12 ◽  
Author(s):  
Alicia N. Weber ◽  
J. A. Badenhorst-Weiss
Keyword(s):  
Supply Chain ◽  
South African ◽  
Qualitative Methodology ◽  
Home Delivery ◽  
Group Discussions ◽  
Online Data ◽  
Fully Integrated ◽  
Last Mile ◽  
Brick And Mortar ◽  
African Perspective

Background: The intense competition between grocery retailers to access new revenue streams has seen brick-and-mortar retailers broadening their services to offer consumers the option of ordering their groceries over the Internet. This is implemented through the implementation of different platforms such as their computer or mobile application − known as omnichannel retailing. Omnichannel grocery retailers are facing several challenges with the last mile of their online supply chain, especially with relation to the home delivery of groceries.Objectives: The purpose of the article was to gain an understanding of the nature of last-mile logistical challenges hindering the efficiency of an omnichannel grocery retailer in South Africa.Method: A qualitative methodology was employed; data were collected through an interview with the e-commerce operation manager of a well-known omnichannel grocery retailer in South Africa as well as through two focus group discussions conducted with consumers who regularly purchase items online and those who have never purchased any item online. Data were analysed using thematic analysis.Results: The findings suggested that there are four major last-mile logistical challenges facing the South African omnichannel grocery retailer considered in this study. The challenges are reliable order fulfilment, cold distribution chain requirements, physical distribution and reverse logistics.Conclusion: The findings of this article suggest that many of the last-mile challenges experienced by the omnichannel grocery retailer stem from the inefficient management of information (data) along the supply chain. To alleviate the last-mile logistical challenges identified in this article, emphasis should be placed on implementing a fully integrated information sharing system.

scholarly journals Consumer-driven e-commerce

2018 ◽  
Vol 48 (3) ◽  
pp. 308-332 ◽  
Author(s):  
Stanley Frederick W.T. Lim ◽  
Xin Jin ◽  
Jagjit Singh Srai
Keyword(s):  
Supply Chain ◽  
Home Delivery ◽  
Future Research ◽  
Design Framework ◽  
Content Type ◽  
Research Areas ◽  
Last Mile ◽  
Structural Variables ◽  
Recent Developments ◽  
Business To Consumer

Purpose The purpose of this paper is to re-examine the extant research on last-mile logistics (LML) models and consider LML’s diverse roots in city logistics, home delivery and business-to-consumer distribution, and more recent developments within the e-commerce digital supply chain context. The review offers a structured approach to what is currently a disparate and fractured field in logistics. Design/methodology/approach The systematic literature review examines the interface between e-commerce and LML. Following a protocol-driven methodology, combined with a “snowballing” technique, a total of 47 articles form the basis of the review. Findings The literature analysis conceptualises the relationship between a broad set of contingency variables and operational characteristics of LML configuration (push-centric, pull-centric, and hybrid system) via a set of structural variables, which are captured in the form of a design framework. The authors propose four future research areas reflecting likely digital supply chain evolutions. Research limitations/implications To circumvent subjective selection of articles for inclusion, all papers were assessed independently by two researchers and counterchecked with two independent logistics experts. Resulting classifications inform the development of future LML models. Practical implications The design framework of this study provides practitioners insights on key contingency and structural variables and their interrelationships, as well as viable configuration options within given boundary conditions. The reformulated knowledge allows these prescriptive models to inform practitioners in their design of last-mile distribution. Social implications Improved LML performance would have positive societal impacts in terms of service and resource efficiency. Originality/value This paper provides the first comprehensive review on LML models in the modern e-commerce context. It synthesises knowledge of LML models and provides insights on current trends and future research directions.

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