Using Data Envelopment Analysis to Assess Performance of Manufacturing Extension Centers.
Using Data Envelopment Analysis to Assess Performance of
Manufacturing Extension Centers.
(4504 K)
Chapman, R. E.
NISTIR 6198; 57 p. August 1998.
Available from:
National Technical Information Service
Order number: PB98-148323
Keywords:
competitiveness; data envelopment analysis; economic
analysis; economic impacts; extension services; linear
programming; manufacturing; performance assessment;
program evaluation
Abstract:
The purpose of this report is threefold. First, it
describes how Data Envelopment Analysis (DEA) may be
applied to assist the Manufacturing Extension
Partnership (MEP) Program and its network of
Manufacturing Extension Centers (MECs) in assessing
performance. DEA is an approach to performance
assessment which uses linear programming and principles
of frontiere analysis. DEA provides an integrated
method for performance assessment which computes a
single measure of performance based on multiple outputs
and inputs. To accomplish the first purpose, the theory
and methodology of DEA are related to MEP operating data
focused on the twin informational needs of continuous
improvement and program accountability. These operating
data include both inputs - staff and financial resources
- and outputs - types and levels of services rendered.
The second purpose is to apply data from the current
NIST/MEP Management Information Reporting System to
illustrate ways in which DEA can help MEP headquarters
and its network of MECs to measure their performance.
Operating data from 51 MECs are analyzed via a series of
performance assessment models; each model is a unique
combination of inputs and output. The third purpose is
to stimulate feedback and discussion among those engaged
in MEP performance assessment. DEA provides a method
which MEP and its network of MECs can use jointly to
make sense of the multi-dimentional nature of MEC
performance data. With this report MEP is in a position
to initiate further uses of DEA which will prove
beneficial to both the MECs and the national program.
Building and Fire Research Laboratory
National Institute of Standards and Technology
Gaithersburg, MD 20899