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ICED 11
Papers

Value and waste dependencies and guidelines

Value and waste dependencies and guidelines

Year: 2012

Section: Application of Matrix Methodology

Editor: Onishi, M.; Maurer, M.; Kirner, K.; Lindemann, U.

Author: Siyam, G.I. (1); Kirner, K.G.M. (2); Wynn, D.C. (1); Lindemann, U. (2); Clarkson, P.J. (1)

Series: DSM

Institution: 1: University of Cambridge, UK; 2: Technische Universit

Section: Application of Matrix Methodology

Pages: 65-78

ISBN: 978-3-446-43354-0

Abstract

This paper explores the relationship between value and waste in the context of Lean Product
Development (LPD). Although value and waste belong to prominent concepts being explored in the
effort of developing LPD, however, understanding value and waste and their relationship in the
complex and uncertain product development process (PDP) is a challenging task. This paper explores
the relationship between value methods and waste types using a Domain Mapping Matrix (DMM).
Moreover, in an effort to improve the Product Development Process (PDP) performance, we present a
conceptual improvement guideline for improving PDP. This study uses literature review to develop the
DMM of value and waste as well as the improvement guideline. The results of this research can be
used in practice to identify waste types, and to select suitable value methods to eliminate
corresponding critical waste types in their organization.

Keywords: Value, waste, lean, domain mapping matrix, improvement

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ds endorsed conferenceDSM 2012 - 14th International DSM Conference

Dependency and Structure Modeling (DSM) originates from the methods that have come about from using the Design Structure Matrix and similar methods (matrix-based as well as graph based). These methods have proven very valuable in designing complex systems, optimizing technical systems and product architectures and organizations, densely networked processes and large market structures. With its ability to manage complexity by looking into the structure of a system, it has led to many other advances...

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