Accession Number : ADA140453
Title : Development of a Taxonomy of Productivity Measurement Theories and Techniques.
Descriptive Note : Final rept. 1 Aug 83-29 Feb 84,
Corporate Author : OKLAHOMA PRODUCTIVITY CENTER STILLWATER
Personal Author(s) : Sink,D. S. ; DeVries,S. ; Swaim,J. ; Tuttle,T.
Report Date : 29 FEB 1984
Pagination or Media Count : 281
Abstract : This research effort is a component of project 83-01 Contractor Productivity measurement which is being executed by the Army Procurement Research Office for the Department of Defense. Through the use of extensive literature searchs and targeted site visits, the study identified three generic productivity measurement techniques. These techniques are: the Mult-Factor Productivity Measurement Model (also called the Total Factor productivity Model, hybrid versions that operate the model at the product level of analyses also exist); (2) the Multi-Criteria Performance/Productivity Meausrement Technique (also called the Objectives Matrix);and the Normative Productivity Measurement Methodology (a structured participative approach to developing productivity and performance measurement, evaluation, control and improvement systems). The study also identified a number of surrogate productivity improvement systems). The study also identified is highly correlated to productivity but not a direct ratio of out put to input. The project final report contains: a section of productivity basics; productivity measurement and evaluation techniques described in detail with site summary examples for each technique; productivity measurement theories and techniques taxonomy and, summary and conclusions. The study and report represent the most comprehensive compilation and description of state-of-the-art and practice productivity measurement techniques in existence at this time.
Descriptors : *Productivity, *Measurement, *Management planning and control, Taxonomy, Organizations, Operational effectiveness, Management, Efficiency, Optimization, Methodology, Human factors engineering
Subject Categories : Administration and Management
Human Factors Engineering & Man Machine System
Distribution Statement : APPROVED FOR PUBLIC RELEASE