Final answer:
In supply chain analytics, dependent variables are the outcome or result of a process, while independent variables are the factors that influence the outcome. They are used to analyze relationships and make data-driven decisions in supply chain optimization.
Step-by-step explanation:
In supply chain analytics, dependent variables are the outcome or result of a process or decision, while independent variables are the factors or inputs that influence the outcome. For example, in analyzing the impact of pricing on sales volume, sales volume would be the dependent variable, as it is influenced by the price, which is the independent variable.
Dependent variables in supply chain analytics can include metrics such as inventory levels, delivery performance, or customer satisfaction. Independent variables can be factors like lead time, order quantity, or transportation costs.
Dependent and independent variables are used in supply chain analytics to understand the relationships between different factors and to make data-driven decisions for optimizing the supply chain. By analyzing how changes in independent variables affect dependent variables, businesses can identify key drivers of performance and improve efficiency and effectiveness in their supply chains.