Open Access
Cost sharing of terminal joint distribution of express industry
Author(s) -
Hong Shuai,
Lv Rongsheng,
Hong Pengpeng
Publication year - 2018
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2017.0277
Subject(s) - prosperity , terminal (telecommunication) , distribution (mathematics) , joint (building) , joint probability distribution , service (business) , wage , shapley value , transport engineering , operations research , business , computer science , microeconomics , economics , telecommunications , engineering , labour economics , marketing , mathematics , mathematical analysis , architectural engineering , statistics , game theory , economic growth
The express industry has developed rapidly, showing a picture of prosperity, but there are several problems behind its prosperity, such as lower efficiency, higher costs, more traffic pressures and increased disorder. To enhance operating efficiency, reduce delivery costs and ease both traffic pressures and disorder, the authors use the Shapley value method to establish a cost sharing model of terminal joint distribution for express enterprises. This model converts the proportion of income allocation into a cost sharing ratio and proposes a correction scheme of personal delivery service costs. The results of a case analysis show that the terminal joint distribution could reduce costs, such as wage costs and traffic costs, reduce both the costs of vehicle distribution and the number of vehicles distributed, and shortens the total distance travelled and time required for distribution. The model of cost sharing of terminal joint distribution for express enterprises could be fair. The cost sharing of terminal joint distribution depends on the personal level of the distribution service for express enterprises. They discuss the implications of the case analysis that jointly distributes costs among express enterprises along terminal routes for both the firms and for the emerging research on the joint distribution of costs.