Development of Behavioural Modules for Mechatronic Product Families Using the 3d Design Structure Matrix Approach

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Date

2019

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Publisher

Ios Press

Open Access Color

Green Open Access

No

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Average
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Abstract

Increased competition in the global market has forced companies to diversify their product ranges to meet the customers' changing needs and adopt product development strategies for "mass customization", which requires designing modular products. Product modularity is achieved via platform-based systems, in which various combinations of different modules are assembled within a common platform. In the literature, there is a considerable amount of research on modularity for mechanical products. Yet, research on modularity of smart systems, such as mechatronic products, is quite limited. Therefore, the objective of this research is to develop fundamental behavioural modules to facilitate the systematic design of platform-based mechatronic product families for mass customization. Being developed using the state-event model of mechatronic systems at an early design stage, these modules enable a behavioural adaptation of smart systems through a systematic formal structure. In this study, fundamental mechatronic behaviour modules are developed using a modified form of Design Structure Matrix (DSM) existing in the literature. DSM is adopted to mechatronic systems as a 3D matrix, which includes sensorial, motoric and cognitive behaviours. Symbolic representations of mechatronic behaviour modules are generated and used for describing robot tasks. The mechatronic behaviour modules developed in this study are implemented on a demonstrative task-based robot family model composed of guide robots for museums and shopping malls, a guard robot, a house-cleaning robot and companion robots for children, the elderly and pets.

Description

Erden, Zuhal/0000-0002-4860-4271

Keywords

Mass customization in mechatronic design, modular mechatronic design, mechatronic product family, behavioural modules in design, 3D design structure matrix

Turkish CoHE Thesis Center URL

Fields of Science

0209 industrial biotechnology, 05 social sciences, 0501 psychology and cognitive sciences, 02 engineering and technology

Citation

WoS Q

Q3

Scopus Q

Q3
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OpenCitations Citation Count
1

Source

Journal of Integrated Design and Process Science

Volume

23

Issue

1

Start Page

141

End Page

160

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CrossRef : 1

Scopus : 1

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Mendeley Readers : 11

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