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| Available
to Promise (ATP) as defined by APICS is " the uncommitted portion
of a company's inventory and planned production, maintained in the
master schedule to support customer order promising." |
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Often
one runs into a situation where something ordered is out of stock.
This results in disturbing the entire production process, and can
cost company millions of dollars. Consider manufacturing of a car,
wherein tyres are sourced from tyre manufacturers, glass from glass
manufacturers, steel from steel foundries, and so on. Placing an
order for all of these has to be carefully timed to ensure necessary
and sufficient stock maintenance- and that too, the right quantity
(excess stock can lead to high inventory costs). Picture this; if
the supplier of break parts were suddenly to tell the car manufacturer
that they were out of stock, the entire production line would crash
to a halt. Given the situation it has become highly critical for
businesses to have up-to-date ATP (available
to promise) information at every step of the supply chain.
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The
aim of ATP is to determine if an incoming order can be promised
for a specified customer request date. ATP enhances
the responsiveness of order promising and the reliability of order
fulfillment. It directly links available resources,
including both material and capacity, to customer orders and, thus
enhances the overall performance of a supply chain.
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There
exist different types of ATP's capable of handling varied degrees
of supply chains. Some ATP software offer immediate response and
commitment to the orders received, while others collect orders over
time interval and provide response for the batch of orders at the
end of each time period. However, it should be noted that there
are very few true real- time ATP systems operating today; most systems
that give an immediate response (including most web- based retail
sites) produce an initial "soft "promise, run a batch
ATP later and then produce a "hard "promise.
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Supply
chain visibility as provided by ATP is one of the top priorities
for modern Internet enabled organizations. ATP
allows businesses to monitor and manage events across the supply
chain to pre-empt problems and plan activities more effectively.
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ATP
plays a prominent role of linking customer order with enterprise
resources and evaluates while minimizing the trade-off between front-end
and back-end performance. Frequently, ATP engines also use optimization
technique to maximize revenues and capacity utilization along with
minimizing cost of supply chains. A feedback system is used in this
case to apply recommendations of the ATP engine to drive decisions
at the back-end. ATP, thus, can be used as a strategic
weapon to achieve utmost service levels. With fewer
missed orders and efficient order promising, customer satisfaction
could be increased and the supply chain performance could be maximized.
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