A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration
With the trend of ‘digitalization’ and ‘servitization’ in the manufacturing industry, numerous product-service systems fail to seize a market share and encounter an imbalance between digital investments and expected revenues. This phenomenon is probably caused by the insufficient evaluation on user...
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sg-ntu-dr.10356-1603772022-07-20T05:47:04Z A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration Wang, Zuoxu Chen, Chun-Hsien Li, Xinyu Zheng, Pai Khoo, Li Pheng School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Smart Product-Service Systems Concept Evaluation With the trend of ‘digitalization’ and ‘servitization’ in the manufacturing industry, numerous product-service systems fail to seize a market share and encounter an imbalance between digital investments and expected revenues. This phenomenon is probably caused by the insufficient evaluation on user experience and by the lag between user requirement changes and the offered solutions. Both limitations can be mitigated via automatic Smart PSS evaluation based on broader concerns on user experience information that was collected from either product-service bundles or user behavior. In this paper, a context-aware concept evaluation approach is proposed for Smart PSS design iteration, aiming to satisfy users in a more timely and automatic manner. Derived from the conventional information axiom method, the proposed approach introduces a context-aware evaluation indicator identification module and an automatic system range identification procedure based on natural language processing techniques, and eventually return the most robust concepts during the usage phase. With less human intervention in the design process, it relieves the lag between user requirement changes and the solutions, and reduces the prescriptive instructions in the conventional information axiom method. A case study of a 3D printer company's design iteration is conducted, which proves the proposed approach's feasibility. It is hoped that this work provides practical guidance for achieving a more context-aware Smart PSS development. Nanyang Technological University National Research Foundation (NRF) The authors wish to acknowledge the financial support from the National Research Foundation (NRF) Singapore and Delta Electronics International (Singapore) Pte Ltd., under the Corporate Laboratory@ University Scheme (Ref. RCA-16/434; SCO-RP1) at Nanyang Technological University, Singapore. 2022-07-20T05:47:04Z 2022-07-20T05:47:04Z 2021 Journal Article Wang, Z., Chen, C., Li, X., Zheng, P. & Khoo, L. P. (2021). A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration. Advanced Engineering Informatics, 50, 101394-. https://dx.doi.org/10.1016/j.aei.2021.101394 1474-0346 https://hdl.handle.net/10356/160377 10.1016/j.aei.2021.101394 2-s2.0-85113194096 50 101394 en RCA-16/434 SCO-RP1 Advanced Engineering Informatics © 2021 Elsevier Ltd. All rights reserved. |
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Engineering::Mechanical engineering Smart Product-Service Systems Concept Evaluation Wang, Zuoxu Chen, Chun-Hsien Li, Xinyu Zheng, Pai Khoo, Li Pheng A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration |
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With the trend of ‘digitalization’ and ‘servitization’ in the manufacturing industry, numerous product-service systems fail to seize a market share and encounter an imbalance between digital investments and expected revenues. This phenomenon is probably caused by the insufficient evaluation on user experience and by the lag between user requirement changes and the offered solutions. Both limitations can be mitigated via automatic Smart PSS evaluation based on broader concerns on user experience information that was collected from either product-service bundles or user behavior. In this paper, a context-aware concept evaluation approach is proposed for Smart PSS design iteration, aiming to satisfy users in a more timely and automatic manner. Derived from the conventional information axiom method, the proposed approach introduces a context-aware evaluation indicator identification module and an automatic system range identification procedure based on natural language processing techniques, and eventually return the most robust concepts during the usage phase. With less human intervention in the design process, it relieves the lag between user requirement changes and the solutions, and reduces the prescriptive instructions in the conventional information axiom method. A case study of a 3D printer company's design iteration is conducted, which proves the proposed approach's feasibility. It is hoped that this work provides practical guidance for achieving a more context-aware Smart PSS development. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Wang, Zuoxu Chen, Chun-Hsien Li, Xinyu Zheng, Pai Khoo, Li Pheng |
format |
Article |
author |
Wang, Zuoxu Chen, Chun-Hsien Li, Xinyu Zheng, Pai Khoo, Li Pheng |
author_sort |
Wang, Zuoxu |
title |
A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration |
title_short |
A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration |
title_full |
A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration |
title_fullStr |
A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration |
title_full_unstemmed |
A context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration |
title_sort |
context-aware concept evaluation approach based on user experiences for smart product-service systems design iteration |
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2022 |
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https://hdl.handle.net/10356/160377 |
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1739837370376650752 |