Abstract
In using learning curves for AMT startup, we seek to identify a number of patterns in the basic data, each of which is an important source of information to be fed into the management control machinery. These patterns may be classified as follows:
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1.
A trend line, which in some “best” sense can be used for predicting future output. This line can be influenced by proper design and planning of the product line.
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2.
“Normal” scatter about the trend line, which constitutes a natural and acceptable variation, and which can be used for setting the upper and lower bounds of predicted output.
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3.
“Abnormal” scatter about the trend line, which results in an unacceptable variation. It indicates an avoidable loss in production which can be traced to an assignable cause and hence eliminated by management control.
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4.
“Deterministic” changes in the trend line. These may be long- or short-term, and have an assignable cause. An example of a management-induced cause is a planned change in the size or constitution of the direct labour force.
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References
Bahrick HP, Fitts PM, Briggs EC. Learning curves: facts or artifacts? Psychol Bull 1957; 54 (3): 256–268
Baloff N. Startup management. IEEE Trans Engng Mgmt 1970; EM-17: 132–141
Glover JH. Selection of trainees and control of their progress. Int J Prod Res 1966; 5 (1): 43–60
Steedman I. Some improvement curve theory. Int J Prod Res 1970; 8 (3): 189–204
de Jong JR. Effects of increasing skill and methods-time measurement. Time Mot Stud 1961; 10: 17–24
Towill DR. Transfer functions and learning curves. Ergonomics 1976; 19: 623–638
Knowles AR, Bell LF. Learning curves will tell you who’s worth training and who isn’t. Factory Mgmt Maint 1950; 108: 114–115
Bevis FW, Finniear C, Towill DR. Prediction of operator performance during learning of repetitive tasks. Int J Prod Res 1970; (4): 293–305
Hackett EA. Development and application of learning curves, MPhil thesis, Middlesex Polytechnic, Hendon, UK, 1974
Towill DR. Low order modelling techniques: tools or toys? Proceedings IEE Conference on Computer Aided Control System Design, Cambridge, UK, 1973, pp 206–212 (IEE Conference Publication no. 96, 1973 )
Hindmarsh GW, Towill DR. Theory and application of the time constant learning curve model. Paper WA16. 14, ORSA/TIMS Joint National Meeting, San Juan, Puerto Rico, 1974
Towill DR, Bevis FW. Managerial control systems based on learning curve models. Int J Prod Res 1973; 11 (3): 219–238
Harvey RA. Analysis of contributory factors in aircraft production learning. Proceedings IERE International Conference on Industrial Applications of Learning Curves and Progress Functions, London, December 1981 (IERE Conference Proceedings no. 52)
Hitchings B. Dynamic learning curve models describing the performance of human operators on repetitive tasks, MEng thesis, University of Wales Institute of Science and Technology, Cardiff, UK, 1972
Siegel S. Non parametric statistics for the behavioural sciences. McGraw-Hill, New York, 1956, pp 52–58
Shearer JL, Murphy AT, Richardson HH. Introduction to system dynamics Addison-Wesley, Reading, Mass., 1967, ch 1
Truxal JG. Control system synthesis. McGraw-Hill, New York, 1955, ch 1
Harpur NF. Some design considerations of hydraulic servomechanisms of jack type. Proceedings, Institution of Mechanical Engineers conference on hydraulic servomechanisms, London, 1953
Towill DR. Coefficient plane models for control system analysis and design. Research Studies Press., Forest Grove, Oreg. 1980, ch 2
Dudley NA. Work measurement: some research studies. Macmillan, London, 1968
Towill DR, Eler MS. Performance models in a process industry. Joint National Meeting of the Operations Research Society of America/Institute of Management Sciences, Las Vegas, Nev., November 1975, TP14.8, pp 1. 1–1. 8
Graupe D. Identification of systems. Van Nostrand Reinhold, New York, 1972, ch 3
Davis WDT. Systems identification for self-adaptive control. Wiley-Interscience, New York, 1970
Crossman ERF. A theory of the acquisition of speed-skill. Ergonomics 1959; 12: 153–66
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Towill, D.R., Cherrington, J.E. (1993). Learning Curve Models. In: Towill, D.R., Cherrington, J.E. (eds) A Systems Approach to AMT Deployment. Advanced Manufacturing Series. Springer, London. https://doi.org/10.1007/978-1-4471-3406-0_4
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DOI: https://doi.org/10.1007/978-1-4471-3406-0_4
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