Learning and Process Improvement during Production Ramp-Up
TLDR
In this paper, the authors analyze the tradeoff between the short-term opportunity cost of capacity and the long-term value of learning as a dynamic program and show what happens if managers misunderstand the sources of learning.About:
This article is published in International Journal of Production Economics.The article was published on 2001-03-03 and is currently open access. It has received 320 citations till now. The article focuses on the topics: Capacity utilization & Opportunity cost.read more
Citations
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Product Development Decisions: A Review of the Literature
Vish Krishnan,Karl T. Ulrich +1 more
TL;DR: This paper looks inside the "black box" of product development at the fundamentaldecisions that are made by intention or default, adopting the perspective ofproduct development as a deliberate business process involving hundreds of decisions, many of which can be usefully supported by knowledge and tools.
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Human capital and learning as a source of sustainable competitive advantage
Nile W. Hatch,Jeffrey H. Dyer +1 more
TL;DR: In this article, the authors identify the sources of wide and persistent variations in learning performance in the semiconductor manufacturing industry and find that acquiring human capital with prior industry experience from external sources significantly reduces learning performance.
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Individual Experience and Experience Working Together: Predicting Learning Rates from Knowing Who Knows What and Knowing How to Work Together
TL;DR: It is found that each kind of experience makes a distinct contribution to team performance, and the implications for the learning-by-doing framework in general, and learning in the team context in particular.
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Learning curve models and applications: Literature review and research directions
TL;DR: The state of the art in the literature on learning and forgetting curves is presented, describing the existing models, their limitations, and reported applications.
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Simulation in the design and operation of manufacturing systems: state of the art and new trends
TL;DR: How the urge towards digitalisation of manufacturing in the context of the 4th Industrial revolution has shaped simulation in the design and operation of manufacturing systems is described and the new approaches that have arisen in the literature are reviewed.
References
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Learning curves in manufacturing.
Linda Argote,Dennis Epple +1 more
TL;DR: In this article, the authors found that organizations vary considerably in the rates at which they learn and that the reasons for the variation observed in organizational learning curves include organizational forgetting, employee turnover, transfer of knowledge from other products and other organizations, and economies of scale.
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The Learning Curve and Competition
TL;DR: This paper developed a model of competitive interaction and industry evolution in the presence of a learning curve, where the learning curve is a function relating the unit costs of the individual firm to accumulated volume, and the responses of the model to shifts in parameters are explored through calculated examples.
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Treating Progress Functions as a Managerial Opportunity
John M. Dutton,Annie Thomas +1 more
TL;DR: In this paper, the authors draw on more than 200 empirical and theoretical studies of progress functions in industrial engineering, economics, and management to find policies that result in continuous cost improvements.
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Behind the learning curve: a sketch of the learning process
Paul S. Adler,Kim B. Clark +1 more
TL;DR: This exploratory paper sketches some of the behavioral processes that give rise to the learning curve, and constructs a model of productivity improvement as a function of cumulative output and two managerial variables-engineering changes and workforce training.
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How learning by doing is done: problem identification in novel process equipment☆
Eric von Hippel,Marcie J. Tyre +1 more
TL;DR: It is found that problems due to information lost in complexity emerge earlier than do problemsDue to user learning by doing, and tests of reason are used to show why it would be very difficult to eliminate doing from learning bydoing.