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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.
Without inventory optimization, companies commonly set inventory targets using rules of thumb or single stage calculations. Rules of thumb normally involve setting a number of days of supply as a coverage target. Single stage calculations look at a single item in a single location and calculate the amount of inventory required to meet demand. [11]
The two factors that determine the appropriate order point are the delivery time stock, which is the inventory needed during the lead time (i.e., the difference between the order date and the receipt of the inventory ordered), and the safety stock, which is the minimum level of inventory that is held as a protection against shortages due to ...
Demand for items from inventory is continuous and at a constant rate; Production runs to replenish inventory are made at regular intervals; During a production run, the production of items is continuous and at a constant rate; Production set-up/ordering cost is fixed (independent of quantity produced) The lead time is fixed
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.
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.
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