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 From bricks-and-mortar to bricks-and-clicks

2018 ◽  
Vol 48 (4) ◽  
pp. 415-438 ◽  
Author(s):  
Johannes Wollenburg ◽  
Alexander Hübner ◽  
Heinrich Kuhn ◽  
Alexander Trautrims
Keyword(s):  
Decision Making ◽  
Exploratory Study ◽  
Primary Source ◽  
Delivery Systems ◽  
Content Type ◽  
Configuration Theory ◽  
Logistics Networks ◽  
Grocery Retailing ◽  
Last Mile ◽  
Last Mile Delivery

Purpose The advent of grocery sales through online channels necessitates that bricks-and-mortar retailers redefine their logistics networks if they want to compete online. Because the general understanding of such bricks-and-clicks logistics systems for grocery is still limited, the purpose of this paper is to analyze the internal logistics networks used to serve customers across channels by means of an exploratory study with retailers from different contexts. Design/methodology/approach A total of 12 case companies from six European countries participated in this exploratory study. Face-to-face interviews with managers were the primary source for data collection. The heterogeneity of the sample enabled the authors to build a typology of logistics networks in grocery retailing on multiple channels and to understand the advantages of different warehousing, picking, internal transportation and last-mile delivery systems. Findings Bricks-and-mortar grocery retailers are leveraging their existing logistics structures to fulfill online orders. Logistics networks are mostly determined by the question of where to split case packs into customer units. In non-food logistics, channel integration is mostly seen as beneficial, but in grocery retailing, this depends heavily on product, market and retailer specifics. The data from the heterogeneous sample reveal six distinct types for cross-channel order fulfillment. Practical implications The qualitative analysis of different design options can serve as a decision support for retailers developing logistics networks to serve customers across channels. Originality/value The paper shows the internal and external factors that drive the decision-making for omni-channel (OC) logistics networks for previously store-based grocery retailers. Thereby, it makes a step toward building a contingency and configuration theory of retail networks design. It discusses in particular the differences between grocery and non-food OC retailing, last-mile delivery systems and market characteristics in the decision-making of retail networks design.

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 Travelling Salesman Problem With Carbon Emission Reduction in the Last Mile Delivery

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 61620-61627 ◽  
Author(s):  
Li Jiang ◽  
Hongxia Chang ◽  
Shuping Zhao ◽  
Junfeng Dong ◽  
Wenxing Lu
Keyword(s):  
Emission Reduction ◽  
Carbon Emission ◽  
Travelling Salesman Problem ◽  
Travelling Salesman ◽  
Carbon Emission Reduction ◽  
Last Mile ◽  
Last Mile Delivery

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.

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.

Parcel Locker as the Alternative of Parcel Delivery Service of Online Shopping

2020 ◽  
Vol 17 (2) ◽  
pp. 1311-1317
Author(s):  
Hendra Gunawan ◽  
Nahry ◽  
Andyka Kusuma ◽  
Sarini Abdullah
Keyword(s):  
Online Shopping ◽  
Choice Model ◽  
Stated Preference ◽  
Home Delivery ◽  
Long Distance ◽  
Delivery Service ◽  
Last Mile ◽  
Online Shoppers ◽  
The Cost ◽  
Last Mile Delivery

Currently, parcel delivery activities are growing rapidly in the urban area along with the increase in online shopping transactions. This trend has an impact on the deterioration in the performance of the urban transportation system due to the increase of fleet of goods carriers as part of last mile delivery of online shopping. To overcome this situation, many countries have developed a delivery service using a parcel locker. In parcel locker service, consumers collect their shipments from lockers, which are mostly situated in public places, such as train stations, gas filling places, convenience stores, etc., instead of receiving them at their homes using a home delivery service. This service also exists in Indonesia, but its use is still not popular. This study aims to develop a choice model of last mile supply package between home delivery and parcel locker. The development of the model is based on the Binomial Logit Model. The calibration process uses the results of Stated Preference survey conducted to online shoppers who have not used parcel locker. Hypothetical conditions used in this survey represent the cost and location of a parcel locker. Location is represented by the shortest (<1 km), medium (1–3 km) and longest (3–5 km) distance of a parcel locker to the respondent’s home. Given the current cost, the potential demand for parcel lockers is 26%, 17% and 13% for short, medium and long distance, respectively. When the willingness to pay of the respondent is represented by a value whereby both methods will be chosen with the same probability, the parcel locker must offer a cost of 65% and 33%, respectively, of the home delivery option for the condition of short distance and medium distance; whereas the parcel locker cannot compete for long distance condition.

scholarly journals Consumer's point of view on parcel lockers in DKI Jakarta

2019 ◽  
Vol 270 ◽  
pp. 03003
Author(s):  
Nahry ◽  
Alvin Farhan Vilardi
Keyword(s):  
Home Delivery ◽  
Point Of View ◽  
Delivery Service ◽  
Package Delivery ◽  
Last Mile ◽  
Direct Delivery ◽  
Last Mile Delivery ◽  
To Receive ◽  
Service Vehicles ◽  
Type Of Delivery

Online shopping businesses grow significantly in Indonesia, especially in Jakarta. Consumers find out that purchasing products online is more effective. Most of consumers in Jakarta choose direct (home) delivery as their last-mile delivery method, which proposes consumers to receive the purchased goods at home. E-commerce could minimize trip distance travelled by consumers, but distance travelled by delivery service vehicles increase. It causes new problems such as environmental issues. Parcel lockers method appeared as the solution, which proposes advantages for consumers and package delivery operators. Its scheme could minimize distance travelled by both. The packages that dropped in the lockers would be picked up, sorted, and delivered to other lockers. Consumers would pick up their goods by travelling to destination lockers. It could minimize delivery trips. This study observed the consumer's point of view on parcel lockers method, and analyse the potency of parcel lockers. This study was carried out by two online surveys with four main variables that are location, information, cost, and punctuality. The results found that punctuality is the most affecting factor (38.8%) for consumers in choosing type of delivery service. Based on the services, respondents prefer to choose parcel lockers (68.4%) rather than direct delivery.

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.

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