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By Blake Johnson and Mark Everson
Jointly Optimizing Capacity Flexibility, Supply Flexibility
and Component Commonality at Ford Motor Company
Ford is able to predict
its overall vehicle sales with reasonable accuracy, but
faces
much greater uncertainty about the sales volumes of individual
models and model options. It is at this level of specific
models and model options that Ford’s supply chain obviously
must match supply with demand. Relative to many other industries,
creating flexibility of supply in the auto industry is challenging
and expensive, due to the complex tooling, machinery and
manufacturing processes required, both at Ford and its component
suppliers.
Because the variability of demand is largest for individual
models and gradually “smoothes” when aggregated
across multiple models, Ford has actively researched the
optimal level of production flexibility across models to
build into its factories. Capacity that can produce two or
more vehicles can be built, but is generally more expensive.
In addition, its maximum throughput is often somewhat lower
than capacity optimized for a single model.
To determine the optimal type and amount of flexibility
to include in its capacity, Ford first analyzed the level
of variability in the demand for individual models, and the
correlation between the levels of demand of multiple models.
Next, it evaluated the flexibility, cost, and throughput
of alternative capacity investment options, determining their
impact on overall production costs and service levels for
its vehicle portfolio.
As mentioned above, however, in order for Ford to capture
the value of its investments in flexible production capacity,
its suppliers must be able to supply necessary components
with equal levels of flexibility. To determine the optimal
level of flexibility, Ford therefore also included the performance
impact and cost of alternative levels of supply flexibility
in its analysis.
Like Ford, Ford’s suppliers also face substantial
capacity investment costs, making it expensive and risky
for them to provide high levels of flexibility for components
utilized only in individual vehicles subject to high levels
of demand uncertainty. Ford can reduce these costs and risks
of supply flexibility by increasing the use of common components
across models, resulting in supply requirements for less
variable aggregate demand. To determine where and how component
commonality can most effectively contribute to overall flexibility
and performance, it was included as a third decision variable
in Ford’s flexibility optimization analysis.
While the specific results of Ford’s analysis are
proprietary, a number of key insights can be shared. First,
investment by Ford in flexible production facilities can
reduce its cost and improve its customer service levels,
particularly for models that share common components and
which have high levels of model-specific demand uncertainty.
Second, while the optimal level of capacity flexibility depends
on model features, margins and demand uncertainty, the levels
of assembly capacity flexibility and supply flexibility should
always be matched. Third, assembly flexibility and component
commonality are complimentary. Investment in either individually
increases profits, and the benefits of investing in both
over reasonable investment ranges is roughly equal to the
sum of these individual benefits. The best overall flexibility
investment plan depends on the demand uncertainty of the
relevant products, the cost structure of flexible assembly
and supply capacity, and gains from commonality, for example
in the area of engineering efficiency.
At a higher level, the key take-away from Ford’s experience
is that optimizing cost and flexibility in a supply chain
as complex and capital intensive as that of the auto industry
is challenging, and requires that the flexibility of internal
capacity, the flexibility of component supply, and the appropriate
use of component commonality be optimized jointly. The cost
and performance benefits that result, and the increase in
alignment across the supply chain, however, can more than
justify the investment.
©2003 ChainLink Research, Inc.
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