scholarly journals Fresh Fruits and Vegetables “Last Mile” Home Delivery in China Current Situation Research

2016 ◽  
Vol 06 (07) ◽  
pp. 846-853
Author(s):  
Xuewen Zhang ◽  
Haifang Zhang
Keyword(s):  
Fruits And Vegetables ◽  
Home Delivery ◽  
Current Situation ◽  
Last Mile

scholarly journals Sensitivity Analysis of Emission Models of Parcel Lockers vs. Home Delivery Based on HBEFA

2021 ◽  
Vol 18 (12) ◽  
pp. 6325
Author(s):  
Maren Schnieder ◽  
Chris Hinde ◽  
Andrew West
Keyword(s):  
New York ◽  
Road Transport ◽  
Emission Factors ◽  
Home Delivery ◽  
Demand Model ◽  
External Effects ◽  
Last Mile ◽  
Emission Models ◽  
Home Deliveries ◽  
Parcel Deliveries

Global concerns about the environmental effects (e.g., pollution, land use, noise) of last-mile deliveries are increasing. Parcel lockers are seen as an option to reduce these external effects of last-mile deliveries. The contributions of this paper are threefold: firstly, the research studies simulating the emissions caused by parcel delivery to lockers are summarized. Secondly, a demand model for parcel deliveries in New York City (NYC) is created for 365 days and delivery trips to lockers and homes are optimized for 20 “real-world” scenarios. Thirdly, using the emission factors included in the HandBook Emission Factors for Road Transport (HBEFA) database, the maximum percentage of customers who could pick up a parcel by car from parcel lockers that would result in fewer total emissions (driving customers + walking customers) than if home deliveries were adopted is calculated for various pollutants and scenario assumptions (i.e., street types, temperature, parking duration, level of service and vehicle drivetrain). This paper highlights how small changes in the calibration can significantly change the results and therefore using average values for emission factors or only considering one pollutant like most studies may not be appropriate.

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 "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."

Can Indian Online Fruits and Vegetables Companies Break the Jinx of Orthodox Shopping?

2019 ◽  
Vol 9 (4) ◽  
pp. 33-46
Author(s):  
Deepak Verma ◽  
Harish Kumar Singla
Keyword(s):  
Consumer Behavior ◽  
Travel Time ◽  
Fruits And Vegetables ◽  
Online Shopping ◽  
Home Delivery ◽  
Buying Behavior ◽  
Travel Time Savings ◽  
Online Shoppers ◽  
Time Savings

The authors attempted to understand the consumer behavior of fruit and vegetable shoppers in India and identify whether companies offering convenience can break the jinx of orthodox/habitual shopping. The important motivators for online shoppers and orthodox shoppers are identified which was followed by a survey from India's two major cities, Delhi NCR and Pune. The authors observe that online shoppers are mostly driven by convenience in terms of travel time savings, to avoid crowds, queuing, home delivery, avoiding driving/ traffic situations, whereas orthodox shoppers are driven by freshness and quality of fruits and vegetables and give more importance in having a personal touch while purchasing. Orthodox shoppers do get hassled with crowding, queuing, but still they stick to their habitual buying behavior and do not go to the option of online shopping.

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.

Comparative analysis of the carbon footprints of conventional and online retailing

2010 ◽  
Vol 40 (1/2) ◽  
pp. 103-123 ◽  
Author(s):  
Julia B. Edwards ◽  
Alan C. McKinnon ◽  
Sharon L. Cullinane
Keyword(s):  
Home Delivery ◽  
Carbon Intensity ◽  
Online Retailing ◽  
Environmental Implications ◽  
Content Type ◽  
Carbon Footprints ◽  
Shopping Trip ◽  
Last Mile ◽  
Shopping Trips ◽  
Government Data

PurposeThe purpose of this paper is to focus on the carbon intensity of “last mile” deliveries (i.e. deliveries of goods from local depots to the home) and personal shopping trips.Design/methodology/approachSeveral last mile scenarios are constructed for the purchase of small, non‐food items, such as books, CDs, clothing, cameras and household items. Official government data, operational data from a large logistics service provider, face‐to‐face and telephone interviews with company managers and realistic assumptions derived from the literature form the basis of the calculations. Allowance has been made for home delivery failures, “browsing” trips to the shops and the return of unwanted goods.FindingsOverall, the research suggests that, while neither home delivery nor conventional shopping has an absolute CO2 advantage, on average, the home delivery operation is likely to generate less CO2 than the typical shopping trip. Nevertheless, CO2 emissions per item for intensive/infrequent shopping trips by bus could match online shopping/home delivery.Research limitations/implicationsThe number of items purchased per shopping trip, the choice of travel mode and the willingness to combine shopping with other activities and to group purchases into as few shopping trips or online transactions as possible are shown to be critical factors. Online retailers and home delivery companies could also apply measures (e.g. maximising drop densities and increasing the use of electric vehicles) to enhance the CO2 efficiency of their logistical operations and gain a clearer environmental advantage.Practical implicationsBoth consumers and suppliers need to be made more aware of the environmental implications of their respective purchasing behaviour and distribution methods so that potential CO2 savings can be made.Originality/valueThe paper offers insights into the carbon footprints of conventional and online retailing from a “last mile” perspective.

Last-mile distribution planning for fruit-and-vegetable cold chains

2018 ◽  
Vol 29 (3) ◽  
pp. 862-886 ◽  
Author(s):  
Yu-Hsiang Hsiao ◽  
Mu-Chen Chen ◽  
Kuan-Yu Lu ◽  
Cheng-Lin Chin
Keyword(s):  
Vehicle Routing ◽  
Fruits And Vegetables ◽  
Fitness Function ◽  
Time Windows ◽  
Quality Level ◽  
Fruit And Vegetable ◽  
Routing Problem ◽  
Content Type ◽  
Fleet Size ◽  
Last Mile

Purpose The purpose of this paper is to formulate and solve a last-mile distribution plan problem with concern for the quality of fruits and vegetables in cold chains. Design/methodology/approach The vehicle routing problem with time windows (VRPTW) is extended based on the characteristics of fruit-and-vegetable cold chains. The properties of multiple perishable foods, continuing decline in quality, various requirements for quality levels and optimal temperature settings during vehicle transportation are considered in the VRPTW. The product quality level is defined by the estimation of residual shelf life, which changes with temperature, and is characterized by a stepped decrease during the transportation process as time goes on. A genetic algorithm (GA) is adapted to solve the problem because of its convincing ability to solve VRPTW-related problems. For this purpose, solution encoding, a fitness function and evolution operators are designed to deal with the complicated problem herein. Findings A distribution plan including required fleet size, vehicle routing sequence and what quality level should be shipped out to account for the quality degradation during vehicle transportation is generated. The results indicate that the fulfillment of various requirements of different customers for various fruits and vegetables and quality levels can be ensured with cost considerations. Originality/value This study presents a problem for last-mile delivery of fresh fruits and vegetables which considers multiple practical scenarios not studied previously. A solution algorithm based on a GA is developed to address this problem. The proposed model is easily applied to other types of perishable products.

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.

LAST MILE LOGISTICS DELIVERY IN THE FASHION RETAIL SECTOR: THE CASE OF POLAND

2017 ◽  
Vol 69 (0) ◽  
pp. 51-61
Author(s):  
Dorota Książkiewicz ◽  
Wojciech Piotrowicz
Keyword(s):  
Home Delivery ◽  
Retail Sector ◽  
Logistics Networks ◽  
Post Offices ◽  
The United Kingdom ◽  
Delivery Times ◽  
Last Mile ◽  
City Network ◽  
Delivery Options ◽  
Logistics Delivery

The paper analyses the delivery options available to Polish customers. It compares two companies: Zalando, a solely online fashion player, and TOP SECRET, an omnichannel retailer which uses both online and traditional stores. For each company, an overview of logistic systems is presented and delivery options as well as product return conditions are analysed. This snapshot of the fashion market confirms that Polish customers have a wide choice of delivery options, from home delivery, through manned collection points (post offices, kiosks and others), to a well-developed city network of automated lockers. In the case of TOP SECRET, in-store collection was also possible. However, delivery times, from up to two days, are not as fast as countries such as the United Kingdom, where next day delivery is offered by local retailers. The development of e-commerce and omnichannel was stimulated by the recent modernisation of the transport and logistics networks in Poland.

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