Increasing manufacturing flexibility is a key strategy for efficiently
improving market responsiveness in the face of uncertain future produ
ct demand. Process flexibility results from being able to build differ
ent types of products in the same plant or production facility at the
same time. In Part I of this paper, we develop several principles on t
he benefits of process flexibility. These principles are that 1) limit
ed flexibility (i.e., each plant builds only a few products), configur
ed in the right way, yields most of the benefits of total flexibility
(i.e., each plant builds all products) and 2) limited flexibility has
the greatest benefits when configured to chain products and plants tog
ether to the greatest extent possible. In Part II, we provide analytic
support and justification for these principles. Based on a planning m
odel for assigning production to plants, we demonstrate that, for real
istic assumptions on demand uncertainty, limited flexibility configura
tions (i.e., how products are assigned to plants) have sales benefits
that are approximately equivalent to those for total flexibility. Furt
hermore, from this analysis we develop a simple measure for the flexib
ility in a given product-plant configuration. Such a measure is desira
ble because of the complexity of computing expected sales for a given
configuration. The measure is II(M), the maximal probability over all
groupings or sets of products (M) that there will be unfilled demand
for a set of products while simultaneously there is excess capacity at
plants building other products. This measure is easily computed and c
an be used to guide the search for good limited flexibility configurat
ions.