Benchmarking assists businesses in identifying potential targets for improv
ement. It is the initial step a firm must undertake before planning and imp
lementing reengineering methods to achieve higher productivity. Although se
veral benchmarking methods have been proposed in the literature, research i
n this area lacks rigorous analytical tools for effective benchmarking. A b
enchmarking method must simultaneously analyze and integrate several key pe
rformance measures of business processes in identifying best practices. Thi
s is easier said than done because it is by no means a trivial task to blen
d multidimensional information in a useful and effective manner. This artic
le proposes a benchmarking method that simultaneously considers multiple me
asures and aids in business process reengineering efforts of organizations.
The proposed technique is based on a combination of multifactor productivi
ty analysis, game theory, and clustering methods. These models are tested o
n a previously reported data set of manufacturing processes. Our results pr
ovide some very interesting insights into benchmarking practices, which whe
n followed by firms will help in successful business process reengineering
efforts.