Toward a Theory of Continuous Improvement and the Learning Curve

Toward a Theory of Continuous Improvement and the Learning Curve

Continuous improvement (CI) unceasingly strives to improve the performance of production and service firms. The learning curve (LC) provides a means to observe and track that improvement. At present, however, the concepts of CI are abstract and imprecise and the rationale underpinning the LC is obsc...

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Veröffentlicht in:Management Science. - Institute for Operations Research and the Management Sciences, 1954. - 44(1998), 7, Seite 910-920
1. Verfasser: Zangwill, Willard I. (VerfasserIn)
Weitere Verfasser: Kantor, Paul B.
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 1998
Zugriff auf das übergeordnete Werk:Management Science
Schlagworte:Continuous Improvement Improvement Learning Learning Cycle Learning Curve Learning Theory Management Effectiveness Quality Total Quality Management Value Added mehr... Deming Lotka Volterra Behavioral sciences Mathematics Business Economics
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520 |a Continuous improvement (CI) unceasingly strives to improve the performance of production and service firms. The learning curve (LC) provides a means to observe and track that improvement. At present, however, the concepts of CI are abstract and imprecise and the rationale underpinning the LC is obscure. For managers to improve processes effectively, they need a more scientific theory of CI and the LC. This paper begins to develop such a theory. Our approach is based on learning cycles, that is, in each period management takes an action to improve the process, observes the results, and thereby learns how to improve the process further over time. This analysis suggests a differential equation that not only characterizes continuous improvement but also reveals how learning might occur in the learning curve. This differential equation might help management to evaluate the effectiveness of various procedures and to improve and enhance industrial processes more quickly. 
540 |a Copyright 1998 Institute for Operations Research and the Management Sciences 
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700 1 |a Kantor, Paul B.  |e verfasserin  |4 aut 
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