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Modeling and application of configuration complexity scale: concept for customized production

  • Slavomir BednarEmail author
  • Erwin Rauch
ORIGINAL ARTICLE
  • 42 Downloads

Abstract

In current business environment, many original equipment manufacturers (OEMs) are employing mass customization strategies, which have implication on the entire operations of an enterprise and especially influence the character of their assembly processes. Increased product differentiation in context of mass-customized production (MCP) causes significant changes in complexity of assembly systems. Our focus in this paper is on the development of a methodological framework of mass-customized assembly modeling all possible product configurations and variants based on the number and type of assembly components from which final product configurations are completed. Subsequently, we propose an approach to determining the so-called configuration complexity scale based on combinatory used for many years as a foundation of methodologies for assessments of variety. The underlying hypothesis in this study is that configuration complexity scale offers a generic complexity framework for decision-making on variable products and production structures within Industry 4.0 concepts. The presented methodological framework is further applied on a particular case model of mass-customized assembly.

Keywords

Mass customization Complexity Assembly Component Configuration Scale 

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Notes

Author contribution

Slavomir Bednar proposed and designed the generic framework for mass-customized production systems with a calculation model; Slavomir Bednar and Erwin Rauch developed the configuration complexity scale and verified its applicability on a real model of customized production.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Faculty of Manufacturing Technologies, Department of Industrial Engineering and InformaticsTechnical University of KosicePresovSlovakia
  2. 2.Faculty of Science and Technology, Industrial Engineering and Automation (IEA)Free University of Bozen-BolzanoBolzanoItaly

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