Research on Designing an Industrial Product-Service System with Uncertain Customer Demands
The industrial product-service system (iPSS) is a kind of system engineering methodology, integration scheme, and business model to realize service value by adding intangible services in the whole life cycle. However, the design of the system involves many difficulties such as uncertain customer dem...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/8897539 |
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| _version_ | 1850235986633555968 |
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| author | Fei Zhang Liecheng Jia Weizhen Han |
| author_facet | Fei Zhang Liecheng Jia Weizhen Han |
| author_sort | Fei Zhang |
| collection | DOAJ |
| description | The industrial product-service system (iPSS) is a kind of system engineering methodology, integration scheme, and business model to realize service value by adding intangible services in the whole life cycle. However, the design of the system involves many difficulties such as uncertain customer demands, strong subjectivity of the experience design, and long debugging times. Methods for solving upper problems are therefore essential. This paper presents a design model that integrates an improved affinity propagation (AP) clustering algorithm, quality function development (QFD), and axiomatic design (AD). The entire process of designing an iPSS can be split into three steps. First, uncertain customer demands is determined and standardized. Second, the functions of the product-service system are investigated. Finally, the structures of the system are determined. This paper examines the example of the control service of an iPSS for a water heater tank capping press. An improved AP clustering algorithm is used to determine standardized customer demands, the proposed QFD, and an AD integration model to initially establish a mapping between the customer demands domain and the function domain and clarify the design focus. Next, a QFD- and AD-integrated model is constructed to establish a mapping between the function domain and the structure domain and optimize the control scheme through the quality of its risk prediction. Finally the paper verifies that the upper process and methods can guide the design process effectively in production applications. |
| format | Article |
| id | doaj-art-147d1e5ec02447a593ba092771abf646 |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-147d1e5ec02447a593ba092771abf6462025-08-20T02:02:05ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/88975398897539Research on Designing an Industrial Product-Service System with Uncertain Customer DemandsFei Zhang0Liecheng Jia1Weizhen Han2Institute of Mechanical Engineering, Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province, China Jiliang University, Hangzhou 310018, ChinaInstitute of Mechanical Engineering, Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province, China Jiliang University, Hangzhou 310018, ChinaInstitute of Mechanical Engineering, Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province, China Jiliang University, Hangzhou 310018, ChinaThe industrial product-service system (iPSS) is a kind of system engineering methodology, integration scheme, and business model to realize service value by adding intangible services in the whole life cycle. However, the design of the system involves many difficulties such as uncertain customer demands, strong subjectivity of the experience design, and long debugging times. Methods for solving upper problems are therefore essential. This paper presents a design model that integrates an improved affinity propagation (AP) clustering algorithm, quality function development (QFD), and axiomatic design (AD). The entire process of designing an iPSS can be split into three steps. First, uncertain customer demands is determined and standardized. Second, the functions of the product-service system are investigated. Finally, the structures of the system are determined. This paper examines the example of the control service of an iPSS for a water heater tank capping press. An improved AP clustering algorithm is used to determine standardized customer demands, the proposed QFD, and an AD integration model to initially establish a mapping between the customer demands domain and the function domain and clarify the design focus. Next, a QFD- and AD-integrated model is constructed to establish a mapping between the function domain and the structure domain and optimize the control scheme through the quality of its risk prediction. Finally the paper verifies that the upper process and methods can guide the design process effectively in production applications.http://dx.doi.org/10.1155/2021/8897539 |
| spellingShingle | Fei Zhang Liecheng Jia Weizhen Han Research on Designing an Industrial Product-Service System with Uncertain Customer Demands Complexity |
| title | Research on Designing an Industrial Product-Service System with Uncertain Customer Demands |
| title_full | Research on Designing an Industrial Product-Service System with Uncertain Customer Demands |
| title_fullStr | Research on Designing an Industrial Product-Service System with Uncertain Customer Demands |
| title_full_unstemmed | Research on Designing an Industrial Product-Service System with Uncertain Customer Demands |
| title_short | Research on Designing an Industrial Product-Service System with Uncertain Customer Demands |
| title_sort | research on designing an industrial product service system with uncertain customer demands |
| url | http://dx.doi.org/10.1155/2021/8897539 |
| work_keys_str_mv | AT feizhang researchondesigninganindustrialproductservicesystemwithuncertaincustomerdemands AT liechengjia researchondesigninganindustrialproductservicesystemwithuncertaincustomerdemands AT weizhenhan researchondesigninganindustrialproductservicesystemwithuncertaincustomerdemands |