The analysis of the impact of different supply chain factors using statistical perspective

Abstract

Supply Chain Management (SCM) is an essential part of modern business and involves the coordination of procurement, production, and logistics. Effective SCM allows organizations to remain competitive and reduce costs. With the growth of the global marketplace, SCM is becoming increasingly important for businesses to compete. The most important aspect of SCM is to understand the components of the supply chain, which form a network of organizations involved in value-added processes and activities. The supply chain network consists of multiple components, indicating that the success of an organization's SCM depends on the combination of multiple influencing factors. This paper utilizes the supply chain data of several well-known companies, uses a dozen variables such as inventory turnover ratio, lead time, and supplier count as independent variables, and analyzes the effects of these different supply chain influencing factors on operational efficiency, supply chain resilience, and supplier relationship through multiple linear regression models. This study finds that many different supply chain factors, like transportation cost efficiency, delivery time, and others, have the greatest impact on the above-mentioned factors. This analysis may help companies to comprehensively assess their supply chain maturity and strategically enhance their supply chain attributes to achieve their business development goals.