This paper presents the results of research efforts to estimate the rate at which machine tools deteriorate. A relationship between machine tool deterioration based on component wearout “failures,” and the resulting decline in the productivity of the machine is defined and used as an aid in planning machine tool overhauls and replacements. Deterioration rates for 35 different types of machine tools are estimated via regression analysis using data obtained from a survey on the collective experiences and policies of U.S. industries on over 15,000 machine tools. The results show that different types of machine tools deteriorate at significantly different rates. This information is then embodied in a computerized planning model which incorporates product line sales forecasts, current machine utilization patterns, and machine productivity related to deterioration factors. The planning model can assist manufacturing managers by identifying machine tools which are good candidates for further detailed cost-benefit analysis concerning replacement or overhaul.
Skip Nav Destination
Article navigation
November 1985
This article was originally published in
Journal of Engineering for Industry
Research Papers
Some Empirical Evidence on Machine Tool Deterioration and its Use in Projecting Machine Tool Requirements
H. J. Steudel
H. J. Steudel
University of Wisconsin, Madison, WI 53706
Search for other works by this author on:
H. J. Steudel
University of Wisconsin, Madison, WI 53706
J. Eng. Ind. Nov 1985, 107(4): 355-360
Published Online: November 1, 1985
Article history
Received:
March 19, 1985
Online:
July 30, 2009
Citation
Steudel, H. J. (November 1, 1985). "Some Empirical Evidence on Machine Tool Deterioration and its Use in Projecting Machine Tool Requirements." ASME. J. Eng. Ind. November 1985; 107(4): 355–360. https://doi.org/10.1115/1.3186009
Download citation file:
12
Views
Get Email Alerts
Cited By
Effect of Machining-Induced Deformation and Grain Refinement on Microstructure Evolution in Hybrid Wire-Arc Directed Energy Deposition
J. Manuf. Sci. Eng (October 2024)
Related Articles
A General Empirical Energy Consumption Model for Computer Numerical Control Milling Machine
J. Manuf. Sci. Eng (February,2019)
Producing Follower Motions Through Their Digitized Cam Contours
J. Comput. Inf. Sci. Eng (June,2002)
A Contribution to Improve the Accuracy of Chatter Prediction in Machine Tools Using the Stability Lobe Diagram
J. Manuf. Sci. Eng (April,2014)
Process Sensitivity Analysis and Resolution Prediction for the Two Photon Polymerization of Micro/Nano Structures
J. Manuf. Sci. Eng (October,2009)
Related Proceedings Papers
Related Chapters
Introduction and Definitions
Handbook on Stiffness & Damping in Mechanical Design
Operations — The Players
Global Management Strategies: Sales, Design, Manufacturing & Operations (The Technical Manager's Survival Guides)
Manufacturing Engineering Organization Concepts
Manufacturing Engineering: Principles for Optimization, Third Edition