Most people are familiar with Lean / Six Sigma continuous improvement activities in manufacturing, but did you know many of those principles apply to supply chain as well?
There is generally untapped cost-reduction opportunities in supply chain, considering the cost-impacts within material cost, transportation cost, warehousing cost, overhead (people) cost, and variable production cost. These costs are not always easily visible so a CI program should focus on gathering information to summarize total supply chain spend as well as the value of opportunities to improve.
Service: This is how you define service to your customers. The most useful is OTIF (mentioned above) as it will drive stocking levels in a statistical calculation. But you may also use a customer satisfaction coefficient, customer retention, perfect order index, etc
Cost: It is important to measure supply chain costs over time in order to understand where there are opportunities to improve. Also ensuring that your material and transportation/logistics costs are keeping pace with the market rates is important (so you’re not over-paying). Cost of materials, services, indirect materials, transportation services, storage (warehousing), technology subscriptions, and overhead (SG&A) are very important to ensure you understand and control
Cash: This refers to the working capital tied-up in order to purchase and produce inventory. It can be measured in a variety of ways:
Optimal inventory means the target range of stock (min/max) to hold that maximizes service to customers (target OTIF %) and minimized working capital investment (money tied-up in inventory).
This can be statistically set (a confidence interval) by using the TRLT, Forecasted demand in the TRLT, TRLT variability, demand variability in TRLT, and target service level.
This is a data-driven, statistical calculation based on actual business inputs. It can be used to understand the optimal targets and, more importantly, why those targets are not achieved – whether it’s due to too much or too little inventory. From there, root-cause analysis and corrective actions can be performed to get inventory levels back into focus.
Additionally, optimal inventory analysis can be used to create scenarios that allow you to see how your needs for inventory (and cash to pay for it) will change based on changing operating parameters. What happens if your demand changes? What happens if you create efficiencies in production and your TRLT diminishes? What happens if you change your targeted service level to customers? Use this fun exercise to test your theories!
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