Empirical Study on Low-Carbon-Oriented Supply Chain Network Optimization Considering Service Level Constraints

DOI: https://doi.org/10.62517/jiem.202603208

Author(s)

Liying Yan1,2*

Affiliation(s)

1Ningbo Polytechnic University, School of Supply Chain Management, Ningbo, China 2Ningbo Polytechnic University, Port and Shipping Digital Supply Chain Research Institute, Ningbo, China *Corresponding Author

Abstract

Taking the supply chain network of Company M as the research object, this paper collects relevant data of its existing supply chain network and applies statistical analysis methods to analyze from the dimensions of product flow, transportation distance, dispatch information, customer satisfaction rate regarding “two-day delivery”, and various types of costs. The findings indicate that the enterprise suffers from low overall operational efficiency and unbalanced product flow distribution. In addition, the absence of Central Distribution Center (CDC) in the supply chain network and the adoption of the factory-direct supply to Regional Distribution Center (RDC) model result in overly long transportation routes, which hinder the realization of production-sales synergy. To address these issues, this paper establishes distribution network system supplemented by CDCs, formulates differentiated transportation routes for different product categories, and sets “two-day delivery” time constraint for Class A products. It is verified that the optimized supply chain network can effectively control the total supply chain cost while ensuring the delivery timeliness of Class A products.

Keywords

Carbon Emissions; Service Level; Supply Chain Network; Empirical Research

References

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