Showing papers on "Productivity model published in 1983"
TL;DR: The function point method of measuring application development productivity developed by Albrecht is reviewed and a productivity improvement measure introduced and an analysis of the statistical significance of results is presented.
Abstract: The function point method of measuring application development productivity developed by Albrecht is reviewed and a productivity improvement measure introduced. The measurement methodology is then applied to 24 development projects. Size, environment, and language effects on productivity are examined. The concept of a productivity index which removes size effects is defined and an analysis of the statistical significance of results is presented.
118 citations
Book•
01 Jan 1983
TL;DR: In this paper, the authors introduce productivity methods analysis and graphical productivity anlaysis work methods improvement, and measure productivity: time study standard data systems predetermined time systems work sampling physiological work measurement.
Abstract: Part 1 Productivity - an introduction: productivity methods analysis graphical productivity anlaysis work methods improvement. Part 2 Measuring productivity: time study standard data systems predetermined time systems work sampling physiological work measurement. Part 3 Improving productivity: introduction to ergonomics incentives to increase productivity.
28 citations
TL;DR: In this article, two models were calibrated to the 1978 primary productivity conditions of nutrient-rich hypereutrophic Onondaga Lake, N.Y., one was based on the approach of Bannister, the other on a more conventional format.
Abstract: Two models were calibrated to the 1978 primary productivity conditions of nutrient‐rich hypereutrophic Onondaga Lake, N.Y.; one was based on the approach of Bannister, the other on a more conventional format. The data base, necessary for model development, included continuously monitored incident photosynthetically active radiation (PAR), and 115 parallel measurements of water column temperature, PAR attenuation, chlorophyll a, primary productivity, and key nutrients. Values of key parameters for the Bannister model, obtained by evaluation of the data set, differed from those recommended in the literature. Both models effectively predicted seasonal and shortterm trends in primary productivity for most of the study, though the Bannister model was slightly better. The Bannister model predictions were particularly sensitive to estimates of the maximum quantum yield of photosynthesis. The Bannister model is preferred on theoretical grounds, since it incorporates more fundamental and more constant parameters, ...
24 citations
TL;DR: Some commonly used measures of productivity, relating to both physical and financial inputs and outputs are reviewed in this paper in terms of their implications for performance evaluation and highlight their differences and similarities, strengths and weaknesses.
22 citations
16 May 1983
TL;DR: A theoretical productivity model that overcomes deficiencies in current productivity measures for software development organizations and a practical productivity measure that exceeds current measures by including a quality component is presented.
Abstract: Productivity is a crucial concern for most organizations. This is especially true for software development organizations. Although the term productivity is widely used, the difficulty of defining it leads to serious problems in productivity measurement. This paper will attempt to survey some current productivity measures for software development organizations and discuss their deficiencies. A theoretical productivity model that overcomes these deficiencies will also be presented. A practical productivity measure that exceeds current measures by including a quality component will also be described. Although this measure is only a small improvement over contemporary measures, it is a promising step in the direction of better productivity measurement.
15 citations
TL;DR: In this article, a multiple input productivity measurement model using data available within the manufacturing data base is presented which will perform absolute and trend analysis for the individual input factors along with the aggregate of the total system.
Abstract: The manufacturing manager is faced with the responsibility to effectively manage the productivity improvement of his production system. Critical to this challenge is the ability to measure the productivity of the various controllable resources. A multiple input productivity measurement model using data available within the manufacturing data base is presented which will perform absolute and trend analysis for the individual input factors along with the aggregate of the total system.
10 citations
TL;DR: In this article, a generalized goat attainment model or effectiveness is presented and a measure of system effectiveness which indicates how close a technology comes to delivering operational goals is developed, the operational goals themselves arc defined In relation to underlying values.
Abstract: A generalized goat attainment model or effectiveness is presented and a measure of system effectiveness which indicates how close a technology comes to delivering operational goals Is developed. The operational goals themselves arc defined In relation to underlying values. The effectiveness measure Is then related to system efficiency (itself one effectiveness goal but also a determinant of effectiveness) measured here by total factor productivity. Improved system efficiency (productivity) control can result in an increase in effectiveness thereby facilitating goals/values adaptation. Two examples of this interaction are provided.
5 citations
TL;DR: In this paper, the authors extended micro-productivity measurement models to cover project productivity measurement, by considering project duration as a distinct input factor in addition to the other physical inputs.
Abstract: Micro-productivity measurement models have been proposed for calculating, partial (single factor) or aggregate (total factor), productivity indexes in industrial environments. In this paper, the models are extended to cover project productivity measurement, by considering project duration as a distinct input factor in addition to the other physical inputs. The duration effect is measured by comparing the future value, at completion, of all invested inputs.
4 citations
TL;DR: In this article, a procedure for computing productivity indices in a complex case is demonstrated, when reliable data on the internal flow of materials is not available, external flows only are taken into account, assuming standard internal material proportions.
Abstract: A procedure for computing productivity indices in a complex case is demonstrated. When reliable data on the internal flow of materials is not available, external flows only are taken into account, assuming standard internal material proportions. The resulting indices point to the overall productivity and may serve as indicators of areas where a more detailed analysis is called for.
2 citations
Posted Content•
TL;DR: The total system approach is needed to address some of the larger productivity issues that are too costly for single segments of the system to solve as mentioned in this paper, but it is not the only approach that is needed.
Abstract: The total system approach is needed to address some of the larger productivity issues that are too costly for single segments of the system to solve.
01 Nov 1983
TL;DR: The factors affecting coal mine productivity and the ways in which productivity can be assessed are discussed in this article, where the authors also discuss the ways to assess mine productivity in coal mines.
Abstract: The factors affecting coal mine productivity and the ways in which productivity can be assessed are discussed.
TL;DR: The concept of value added in a restricted profit function, proposed by Bruno, provides an alternative for measuring and analyzing productivity growth as discussed by the authors, which is particularly appropriate in developing countries, where less data requirements make this approach particularly appropriate.
Abstract: Growth rates of productivity have often been measured by using average value added by specified inputs (e.g., see David and Barker; and Ban). Also, a production function often has also been used to estimate input weights necessary in aggregation (e.g., see Griliches; and Hertford). This average productivity approach is quite demanding in terms of data. The concept of value added in a restricted profit function, proposed by Bruno, provides an alternative for measuring and analyzing productivity growth. Lesser data requirements make this approach particularly appropriate in developing countries.