Customer-Classified Intracity Fruit Distribution Path Optimization: A Case Study in Jining, China

Pang Huiyi, Wang Qianyi () and Zhao Yiding

International Journal of Emerging Trends in Social Sciences, 2021, vol. 11, issue 1, 10-17

Abstract: With the development of technology and economy, customer satisfaction is becoming increasingly important to businesses. Customers expect more in regard to product quality, personalised service and delivery date. This study randomly selected customers from a small-to-medium sized company in China as case study and used a K-Means cluster analysis approach to present the available management in logistics. The mileage saving method was also used to contribute the distribution path planning. This resulted in a more scientific distribution route based on comparative analysis, which helped the target company save resources and improve efficiency. This study helped companies effectively identify customer value by combining customer classification with intracity distribution path optimization. Simultaneously, it provides possible empirical reference to service quality improvement, the distribution path optimization, the resource wasting reduction and the companies’ operation efficiency enhancement. It enriches the current literature about food distribution path optimization for small and medium sized food company.

Keywords: Customer classification; Path optimality; Intra-city service; Cluster analysis. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://scipg.com/index.php/103/article/view/458/528 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spi:ijetss:v:11:y:2021:i:1:p:10-17:id:458

Access Statistics for this article

More articles in International Journal of Emerging Trends in Social Sciences from Asian Online Journal Publishing Group
Bibliographic data for series maintained by Marina Taylor ().