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A supply chain responsiveness matrix is a tool that is used to analyze inventory and lead time within an organization. The matrix is one of a number of value stream mapping tools. [1] The matrix is represented by showing lead time along the x-axis and inventory along the y-axis. The result shows where slow moving stock resides.
Reorder level = Average daily usage rate × Lead time in days = 50 units per day × 7 days = 350 units. When the inventory level reaches 350 units an order should be placed for material. By the time the inventory level reaches zero towards the end of the seventh day from placing the order materials will reach and there is no cause for concern.
The lead time shows the amount of elapsed time from a chunk of work or story entering the backlog, to the end of the iteration or release. [13] A smaller lead time means that the process is more effective and the project team is more productive. [13] Lead time is also the saved time by starting an activity before its predecessor is completed.
A sequential single-echelon approach forecasts demand and determines required inventory for each echelon separately. Multi-echelon inventory optimization determines the correct levels of inventory across the network based on demand variability at the various nodes and the performance (lead time, delays, service level) at the higher echelons. [17]
Additionally, the system design also assumes that this "lead time" in manufacturing will be the same each time the item is made, without regard to quantity being made, or other items being made simultaneously in the factory, or any "learning curve" reductions in lead time. A manufacturer may have factories in different cities or even countries.
Lead time is the delay between the time the reorder point (inventory level which initiates an order [8]) is reached and renewed availability. Service level is the desired probability of meeting demand during the lead time without a stockout. If the service level is increased, the required safety stock increases, as well.
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