by Jon Schreibfeder | May 17, 2019 | Best Practices, Replenishment Parameters
Monitoring Unusual Lead Times The anticipated lead time is the length of time (usually expressed in days) it will take to replenish the inventory of a stocked item. Last month, we advised you to manually maintain anticipated lead times based on the longest normally...
by Jon Schreibfeder | Apr 16, 2019 | Best Practices, Replenishment Parameters
In order to meet or exceed your customer service goals, you must reorder a product when you have enough left in your warehouse to meet customer demand during the time it takes you to obtain a replenishment shipment. For example, if you sell 2 pieces per day, and it...
by Jon Schreibfeder | Jul 15, 2017 | Replenishment Parameters
When you replenish the stock of an item, you must decide how much you should order. Many computer systems utilize the economic order quantity (EOQ) formula in helping to make this decision. The formula was originally developed by Ford W. Harris in 1913. Since that...
by Jon Schreibfeder | Jan 15, 2016 | Replenishment Parameters
In the current series of articles we are working through how to optimally set parameters in your replenishment software. There are four critical factors that determine how successful you are in having the right quantity of the right item at the right location at the...
by Jon Schreibfeder | Dec 15, 2015 | Forecasting, Replenishment Parameters
In the current series of articles, we are looking at how to best set parameters in your replenishment software. There are four critical factors that determine how successful you are in having the right quantity of the right item at the right location at the right...
by Jon Schreibfeder | Jul 15, 2015 | Replenishment Parameters
A lot of software packages advise buyers to purchase enough stock so that the product demand is met during the “replenishment horizon”. The replenishment horizon is equal to the sum of: • Demand during anticipated lead time • Demand during the upcoming order cycle •...
