There is an old saying that you cannot manage what you don’t measure. This statement can be applied to almost anything, including Supply Chain Management. Given the tools available in today’s SCM systems, there is no excuse for not proactively measuring your supply chain performance. An issue for many organizations is choosing the correct metrics for measuring performance and understanding how to interpret them.
The Supply Chain Operations Digital Standard (SCOR DS) is a model developed by The Association of Supply Chain Management (ASCM) to evaluate supply chain activities and performance. The standard is organized around the seven primary management processes: Orchestrate, Plan, Order, Source, Transform, Fulfill, and Return. Performance attributes are organized into three categories, with specific attributes measured in each category. The categories and attributes for each are as follows:
Each attribute has one or more strategic metrics that allow an organization to measure its success in achieving its goals. As an example, the Reliability Attribute has three key metrics:
To go further into the details, the Perfect Order Fulfillment metrics include four distinct measurements required for an organization to be at the basic level of the SCOR DS standard.
The SCOR DS standard had many more measurements for organizations that wish to achieve deeper levels of performance. For example, the Delivery Item Accuracy to the customer has 35 distinct measurements. However, not all apply to every type of organization or product type.
It has been found that there is a robust correlation between improved performance metrics and the effectiveness of supply chain processes. Organizations that adopt a standard, such as SCOR DS, will be in a much better position to analyze and improve their supply chain effectiveness than those that simply use ad hoc methods. More information on the SCOR DS methodology, including a free online course, is available from ASCM at https://scor.ascm.org/processes/introduction.