scholarly journals The Logistics Service Mode Selection for Last Mile Delivery Considering Delivery Service Cost and Capability

2020 ◽  
Vol 12 (19) ◽  
pp. 8080 ◽  
Author(s):  
Feng Li ◽  
Zhi-Ping Fan ◽  
Bing-Bing Cao ◽  
Hai-Mei Lv
Keyword(s):  
Mode Selection ◽  
Two Dimensions ◽  
Service Cost ◽  
Delivery Service ◽  
Logistics Service ◽  
Last Mile ◽  
Service Capability ◽  
Service Mode ◽  
Selection For ◽  
Last Mile Delivery

The last mile delivery service is an important part in the logistics service process of express enterprises. How to select a suitable logistics service mode for last mile delivery to maximize the delivery service capacity and minimize delivery service cost is a noteworthy problem, but studies on this problem are still lacking. In this paper, we first analyze three potential logistics service modes for last mile delivery, i.e., self-run mode, outsourcing mode, and alliance mode, and then propose a selection framework of logistics service mode for last mile delivery based on a two-dimensional matrix decision model according to the two dimensions of delivery service cost advantage and delivery service capability advantage. Next, we give the calculation formulas for the delivery service cost and delivery service capability. Furthermore, we propose a method for logistics service mode selection for last mile delivery according to delivery service costs and delivery service capabilities of three potential logistics service mode. Finally, we show the feasibility and effectiveness of the proposed method by a case analysis.

scholarly journals Logistics Service Mode Selection for Last Mile Delivery: An Analysis Method Considering Customer Utility and Delivery Service Cost

2020 ◽  
Vol 13 (1) ◽  
pp. 284
Author(s):  
Feng Li ◽  
Zhi-Ping Fan ◽  
Bing-Bing Cao ◽  
Xin Li
Keyword(s):  
Customer Satisfaction ◽  
Mode Selection ◽  
Analysis Method ◽  
Service Cost ◽  
Delivery Service ◽  
Logistics Service ◽  
Last Mile ◽  
Service Mode ◽  
Selection For ◽  
Last Mile Delivery

Last mile delivery is an important part in the logistics service process of express enterprises since it can directly contact with the customer and affect customer satisfaction. How to select a suitable logistics service mode for last mile delivery with the objectives of lower delivery service cost and higher customer satisfaction is a noteworthy research topic. In this paper, we focus on the analysis method for logistics service mode selection for last mile delivery considering customer utility and delivery service cost. First, we conduct the market survey of customer needs and discuss the market segmentation, and then we propose a customer utility value calculation model based on utility theory. Next, we propose a delivery quantity prediction method based on the time series prediction and customer selection probability calculation. Furthermore, we construct a cost accounting model to determine the delivery service cost. On this basis, we show the selection of the suitable logistics service mode for last mile delivery according to the analysis results of customer utility and delivery service cost. Finally, we show the feasibility and effectiveness of the proposed method by a case analysis.

scholarly journals New Express Delivery Service and Its Impact on CO2 Emissions

2020 ◽  
Vol 12 (2) ◽  
pp. 456
Author(s):  
Dragan Lazarević ◽  
Libor Švadlenka ◽  
Valentina Radojičić ◽  
Momčilo Dobrodolac
Keyword(s):  
Co2 Emissions ◽  
Rapid Development ◽  
Environmental Issues ◽  
Modern Society ◽  
Well Being ◽  
Delivery Service ◽  
Last Mile ◽  
Courier Service ◽  
Last Mile Delivery ◽  
Express Delivery

A rapid development of Internet technologies creates new opportunities for e-commerce, which is one of the fastest-growing segments of the entire economy. For policymakers, the most important aspects of e-commerce are related to the cost reduction in transportation, facilitation of administration and communication, innovations at the market level, and environmental issues. An unavoidable part of the e-commerce production process is related to the postal service. New market expectations of modern society lead to the consideration of upgrading the traditional express delivery service in terms of time availability. In this paper, we propose a new 24-h availability of postal and courier service so-called “post express nonstop”. To assess the potential demand for this kind of service, we propose a forecasting procedure based on the Bass diffusion model. In particular, the research is directed toward the examination of environmental issues, considering both types of services—traditional and the proposed new one. A comparison is done by analyzing CO2 emissions in the last-mile delivery of goods to the users’ addresses. The experiment was carried out in the city of Belgrade, simulating the last-mile delivery under realistic conditions and controlling the fuel consumption and CO2 emissions. In accordance with the results of this experiment and the forecasted number of postal items, a projection of CO2 emissions for the new service from 2020 to 2025 was carried out. The results show a significant contribution of the proposed new express delivery service to environmental well-being and sustainability.

scholarly journals A Novel Delivery Model to Expand E-commerce Customers Based on Telecom Data Mining

10.29007/vn4r ◽  
2019 ◽  
Author(s):  
Giridhar Maji ◽  
Sharmistha Mandal ◽  
Narayan Debnath ◽  
Soumya Sen
Keyword(s):  
Tier 2 ◽  
Distribution Centers ◽  
Field Surveys ◽  
Delivery Model ◽  
Delivery Service ◽  
Location Data ◽  
Last Mile ◽  
Tier 3 ◽  
Last Mile Delivery ◽  
Firsthand Experience

A very important issue with the e-commerce delivery service in most of the emerging economies including India is the last mile connectivity. Delivering products, booked online to the remote tier-2 and tier-3 cities remained “costly”. It is observed from firsthand experience with some well-known e-commerce brands in India that their delivery service partners tend to cancel orders that are far away from their tier-2 logistics hubs with the reason shown as “address out of delivery range”. Due to low order density in the far flanges of tier-2 and tier-3 cities arranging vehicles and delivery personnel become costly. In this paper, we propose an innovative delivery model to serve the remote areas by opening edge-hubs at selected places and employing local daily commuters for last mile delivery. Identifying the edge-hubs for opening distribution centers is a costly business if done using traditional field surveys. Here we propose the use of telecom call detail record (CDR) location data as an alternate way of identifying the hubs in real time with much less cost and time.

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 Evolutionary Game Analysis on Last Mile Delivery Resource Integration—Exploring the Behavioral Strategies between Logistics Service Providers, Property Service Companies and Customers

2021 ◽  
Vol 13 (21) ◽  
pp. 12240
Author(s):  
Lin Zhou ◽  
Yanping Chen ◽  
Yi Jing ◽  
Youwei Jiang
Keyword(s):  
Service Providers ◽  
Evolutionary Game ◽  
Resource Integration ◽  
Strategic Integration ◽  
Service Companies ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Last Mile ◽  
Last Mile Delivery ◽  
The Impact

As resource integration plays a significant part in improving operational efficiency in the last mile delivery industry, there is an increasing popularity for logistics service providers (LSPs) to collaborate with property service companies (PSCs). Based on the evolutionary game theory, considering the dual role of PSCs when collaborating with LSPs, a trilateral evolutionary game model between PSCs, LSPs, and customers (Cs) is established to analyze the strategic choices and explore the influencing factors on the tripartite strategy. The results show that (1) There are optimal profit allocation coefficients and cost-sharing coefficients to cause the system to reach a steady state. (2) The integration cost between LSPs and PSCs and the home delivery cost inhibit the strategic integration of the two enterprises. (3) PSCs are more sensitive to their benefits and costs than LSPs in the process of resource integration. (4) More precisely evaluating their potential loss caused by temporary integration will help the tripartite to make a more scientific choice of strategic behavior. (5) The increase of community premium income helps to improve the enthusiasm of Cs supporting strategic integration. (6) The behavior and decision-making choices of the three game players affect each other in the last mile delivery resource integration. (7) The indirect benefits, such as advertising during their integration, play a positive role. Finally, the MATLAB2020a software is applied to simulate and analyze the impact of key factors on strategy evolution, and we propose several useful suggestions to promote the development of last mile delivery resource integration.

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