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.
If you both make and sell things, you own two inventory problems. Companies that sell things must focus relentlessly on having enough product inventory to meet customer demand. Manufacturers and asset intensive industries such as power generation, public transportation, mining, and refining, have an additional inventory concern: having enough spare parts to keep their machines running.
This technical brief reviews the basics of two probabilistic models of machine breakdown. It also relates machine uptime to the adequacy of spare parts inventory.
Service Level Driven Planning (SLDP) is an approach to inventory planning based on exposing the tradeoffs between SKU availability and inventory cost that are at the root of all wise inventory decisions. When organizations understand these tradeoffs, they can make better decisions and have greater variability into the risk of stockouts. SLDP unfolds in four steps: Benchmark, Collaborate, Plan, and Track.
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.