Customer focused cells and simplification of routings and
bills of material allow production requirements to be matched
directly with customer orders. Operating in such a make to order
environment can have significant benefits. All production is
earmarked for a particular customer, excess waste (for instance
inventory) can be removed from the system, and extremely close
linkage between manufacturing and the customer is achieved.
Manufacturing knows exactly how performance on a particular
order will impact the customer. This knowledge allows
manufacturing to better concentrate on meeting customer needs.
Clearly, evolving to a make to order
environment will highlight delivery problems. However, producing
to customer order will not in and of itself improve delivery.
Since buffer inventory is typically kept to a minimum, evolving
to a make to order environment, especially if there is rapid
change, may make delivery problems even worse. More help is
clearly required.
Computer Modeling of Orders, Capacity, and
Delivery
Increased simplification and evolution to a
make to order environment allow manufacturers to get close to
their customers. However, in most manufacturing environments,
where rapid and significant change is common, this is not
enough. Manufacturers need a tool to help them manage change in
their businesses. This tool can help both as companies evolve to
a simplified, customer focused, make to order manufacturing
environment and after the evolution is complete.
This paper proposes computer based finite
capacity scheduling as a tool to help manufacturers manage
change and achieve cost effective, on time delivery. It first
describes how capacity limitations impact delivery and make
finite capacity scheduling valuable. It then discusses how
finite capacity scheduling's what-if capability can help
manufacturers manage the change inherent in their business. Both
of these steps are described below.
How Capacity Limitations Impact Delivery
In real world manufacturing plants, capacity
is limited, or finite. When a plant is working on one
requirement for production, often other requirements must wait
their turn, resulting in late customer delivery. In simplified,
make to order environments, it is possible to gage the impact of
any single customer order on capacity. Companies have the
capability to perform Master Scheduling analysis with actual
customer orders and commit capacity at the point of order entry.
Given available capacity and other existing customer orders, it
is theoretically possible to come up with a highly accurate
estimate of when a newly added customer order will be completed.
Accurate estimates of customer order completions are
extremely valuable, competitiveness enhancing data. Without this
information, companies will either quote their customers
overly optimistic or pessimistic lead times. Quote overly
optimistic lead times and fail to deliver, and your dissatisfied
customer is likely to turn to the competition. Quote overly
pessimistic lead times, and you might never get a shot at the
business.
--- To be continued ---
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