Towards an automatic engineering change management in smart product-service systems – A DSM-based learning approach
The rapid development and implementation of smart, connected products (SCPs) in the engineering field has triggered a promising manufacturing paradigm of servitization, i.e. smart product-service systems (Smart PSS). As a complex solution bundle in both system and product level, its engineering chan...
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sg-ntu-dr.10356-890512021-01-28T05:41:05Z Towards an automatic engineering change management in smart product-service systems – A DSM-based learning approach Zheng, Pai Shang, Suiyue Chen, Chun-Hsien School of Electrical and Electronic Engineering School of Mechanical and Aerospace Engineering Design Structure Matrix Product Service Systems DRNTU::Engineering::Mechanical engineering The rapid development and implementation of smart, connected products (SCPs) in the engineering field has triggered a promising manufacturing paradigm of servitization, i.e. smart product-service systems (Smart PSS). As a complex solution bundle in both system and product level, its engineering change management differs from the existing ones mainly in two aspects. Firstly, massive in-context stakeholder-generated/product-sensed data during usage stage can be leveraged to enable its success in a data-driven manner. Secondly, the digitalized services, consisting of both hardware and software solutions, can also be changed in a more flexible way other than the physical components alone. Nevertheless, scarcely any work reports on how to conduct engineering change in such context, let alone a systematic approach to support the automatic generation of its change prediction or recommendation. Aiming to fill these gaps, this work proposes an occurrence-based design structure matrix (DSM) approach together with a three-way based cost-sensitive learning approach for automatic engineering change management in the Smart PSS environment. This informatics-based research, as an explorative study, overcomes the subjectivity and tedious assessment of the experts in the conventional approaches, and can offer useful guidelines to the manufacturing companies for managing their engineering changes for product-service innovation process. Accepted version 2019-02-15T04:44:25Z 2019-12-06T17:16:46Z 2019-02-15T04:44:25Z 2019-12-06T17:16:46Z 2019 2019 Journal Article Zheng, P., Chen, C.- H., & Shang, S. (2019). Towards an automatic engineering change management in smart product-service systems - A DSM-based learning approach. Advanced Engineering Informatics, 39203-213. doi:10.1016/j.aei.2019.01.002 1474-0346 https://hdl.handle.net/10356/89051 http://hdl.handle.net/10220/47676 209549 10.1016/j.aei.2019.01.002 209549 209549 en Advanced Engineering Informatics © 2019 Elsevier. All rights reserved. This paper was published in Advanced Engineering Informatics and is made available with permission of Elsevier. 23 p. application/pdf |
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Design Structure Matrix Product Service Systems DRNTU::Engineering::Mechanical engineering Zheng, Pai Shang, Suiyue Chen, Chun-Hsien Towards an automatic engineering change management in smart product-service systems – A DSM-based learning approach |
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The rapid development and implementation of smart, connected products (SCPs) in the engineering field has triggered a promising manufacturing paradigm of servitization, i.e. smart product-service systems (Smart PSS). As a complex solution bundle in both system and product level, its engineering change management differs from the existing ones mainly in two aspects. Firstly, massive in-context stakeholder-generated/product-sensed data during usage stage can be leveraged to enable its success in a data-driven manner. Secondly, the digitalized services, consisting of both hardware and software solutions, can also be changed in a more flexible way other than the physical components alone. Nevertheless, scarcely any work reports on how to conduct engineering change in such context, let alone a systematic approach to support the automatic generation of its change prediction or recommendation. Aiming to fill these gaps, this work proposes an occurrence-based design structure matrix (DSM) approach together with a three-way based cost-sensitive learning approach for automatic engineering change management in the Smart PSS environment. This informatics-based research, as an explorative study, overcomes the subjectivity and tedious assessment of the experts in the conventional approaches, and can offer useful guidelines to the manufacturing companies for managing their engineering changes for product-service innovation process. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Zheng, Pai Shang, Suiyue Chen, Chun-Hsien |
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Article |
author |
Zheng, Pai Shang, Suiyue Chen, Chun-Hsien |
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Zheng, Pai |
title |
Towards an automatic engineering change management in smart product-service systems – A DSM-based learning approach |
title_short |
Towards an automatic engineering change management in smart product-service systems – A DSM-based learning approach |
title_full |
Towards an automatic engineering change management in smart product-service systems – A DSM-based learning approach |
title_fullStr |
Towards an automatic engineering change management in smart product-service systems – A DSM-based learning approach |
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Towards an automatic engineering change management in smart product-service systems – A DSM-based learning approach |
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towards an automatic engineering change management in smart product-service systems – a dsm-based learning approach |
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2019 |
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https://hdl.handle.net/10356/89051 http://hdl.handle.net/10220/47676 |
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