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Understanding Lean Manufacturing According to Axiomatic Design Principles

Authors: Reynal, Vicente A.; Cochran, David S.;

Understanding Lean Manufacturing According to Axiomatic Design Principles

Abstract

The design and evaluation of manufacturing system design is the subject of this paper. Though much attention has been given to the design of manufacturing systems, in practice most efforts still remain empirically-based. Numerous idioms have been used in the attempt to describe the operation of manufacturing systems. When a company tries to become "lean" or wants to increase the production and become more efficient, the company will start to introduce numerous concepts developed by Toyota and others. The problem is that a company does not know the order in which to implement the lean changes or why they should implement what they are implementing. This approach greatly slows manufacturing improvements when complementary or contradictive concepts are introduced on an ad-hoc basis. In this paper, a sequence of implementation steps will be developed through the application of axiomatic design. This sequence will provide a design methodology for lean production which connects manufacturing system design objectives to operation design parameters. This paper will use the methodology developed to improve manufacturing processes in two different companies.

Country
United States
Related Organizations
Keywords

axiomatic design principles, process improvement, design theory, manufacturing systems, lean manufacturing, cellular manufacturing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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