Research on enterprise terminal network planning under the new retail format
by Siqi Zhang; Guanyang Li; Yiming Zheng; Yang Liu
International Journal of Simulation and Process Modelling (IJSPM), Vol. 18, No. 3, 2022

Abstract: In view of the new retail online and offline omni-channel integration, with emphasis on customer consumption experience and delivery timeliness, this paper comprehensively considers customer satisfaction from two aspects of different levels of service costs and delivery timeliness, establishes a bilevel programming model with the maximum comprehensive customer satisfaction and the lowest price of network planning. The paper uses AP clustering algorithm to cluster relevant customer areas, brings the clustering results into the model and applies the NSGA- algorithm for further optimisation. Combined with the analysis of an example, the number, location, scale and service radiation range of the terminal network are planned reasonably, and the network model is innovated. The results show that the model and algorithm can effectively solve the problem of enterprise terminal network planning in the new retail format.

Online publication date: Fri, 11-Nov-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Simulation and Process Modelling (IJSPM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com