The Smart Forecaster
Pursuing best practices in demand planning,
forecasting and inventory optimization
The Min/Max inventory policy is one of four available Replenishment methods in SIO. When the inventory level drops to or below the Min, a replenishment order is generated. The reorder quantity is the number of units needed to raise the stock up to the Max. How do you know your Min/Max settings are working well and triggering replenishment orders at the right time and for the right quantities? If you are like most companies, setting Min/Max levels is based on rules of thumb or simple averaging techniques that don’t expose the trade off curve between service level and inventory cost. This makes it impossible to predict which items are likely to have overstocks and shortages in the future. In this Video Blog we elaborate on this and describe how Smart Inventory Optimization can help.
Inventory optimization has become an even higher priority in recent months for many of our customers. Some are finding their products in vastly greater demand; more have the opposite problem. In either case, events like the Covid19 pandemic are forcing a reexamination of standard operating conditions, such as choices of reorder points and order quantities.
In this Video Dr. Thomas Willemain, co–Founder and SVP Research, defines and compares the three most used inventory control policies. These policies are divided into two groups, periodic review and continuous review. There is also a fourth policy called MRP logic or forecast based inventory planning which is the subject of a separate video blog that you can see here. These videos explain each policy, how they are used in practice and the pros and cons of each approach.
Ensure inventory policy matches business strategy. Various team members can create their own scenarios, perhaps dividing the work by product line or sales territory. One decision maker can then merge these scenarios into a consensus plan.