A framework for design knowledge management and reuse for Product-Service Systems in construction machinery industry

2012 ◽  
Vol 63 (4) ◽  
pp. 328-337 ◽  
Author(s):  
Dongmin Zhang ◽  
Dachao Hu ◽  
Yuchun Xu ◽  
Hong Zhang
Keyword(s):  
Knowledge Management ◽  
Service Systems ◽  
Design Knowledge ◽  
Construction Machinery ◽  
Machinery Industry ◽  
Product Service ◽  
Product Service Systems

scholarly journals A knowledge management framework to support product-service systems design

2009 ◽  
Vol 22 (12) ◽  
pp. 1073-1088 ◽  
Author(s):  
David Baxter ◽  
Rajkumar Roy ◽  
Athanasia Doultsinou ◽  
James Gao ◽  
Mohamad Kalta
Keyword(s):  
Knowledge Management ◽  
Systems Design ◽  
Service Systems ◽  
Management Framework ◽  
Product Service ◽  
Product Service Systems

A Knowledge Management Method for Supporting Conceptual Design of Product-Service Systems

2013 ◽  
Author(s):  
Yutaro Nemoto ◽  
Fumiya Akasaka ◽  
Yoshiki Shimomura
Keyword(s):  
Knowledge Management ◽  
Conceptual Design ◽  
Product Life Cycle ◽  
Service Systems ◽  
Design Phase ◽  
Manufacturing Companies ◽  
Conceptual Design Phase ◽  
Product Service ◽  
Management Method ◽  
Product Service Systems

Product-Service Systems (PSSs) are regarded as an attractive business concept for manufacturing companies to enhance the value of their products. For designing an effective PSS, it is important to search for value provision opportunities in the entire product life cycle and offer appropriate services to customers at each opportunity. Because both products and services are included in the design object, PSS designers need to use a broader range of knowledge compared with that required in product design. This study proposes a knowledge management method to support designers in the conceptual design phase of PSS. The effectiveness of the proposed method is demonstrated by application to an example of PSS design.

scholarly journals DATA-DRIVEN DESIGN AUTOMATION FOR PRODUCT-SERVICE SYSTEMS DESIGN: FRAMEWORK AND LESSONS LEARNED FROM EMPIRICAL STUDIES

2021 ◽  
Vol 1 ◽  
pp. 841-850
Author(s):  
Raj Jiten Machchhar ◽  
Alessandro Bertoni
Keyword(s):  
Design Automation ◽  
Empirical Studies ◽  
Systems Design ◽  
Lessons Learned ◽  
Service Systems ◽  
Data Driven ◽  
Manufacturing Companies ◽  
Construction Machinery ◽  
Product Service ◽  
Product Service Systems

AbstractThe digitalization era has brought about unprecedented challenges for the manufacturing industries, pushing them to deliver solutions that encompass both product and service-related dimensions, known as Product-service Systems. This paper presents a number of lessons learned in the process of integrating the analysis of operational data as decision support in engineering design based on the empirical studies from two Swedish manufacturing companies operating in the construction machinery sector. The paper highlights the need to consider a five-dimensional perspective when collecting and analyzing data, encompassing data from the product, the service, the environment, the infrastructure, and the humans involved. Finally, a conceptual framework for data-driven design automation of Product-service Systems is proposed by leveraging the use of these data, introducing the concept of a Product-Service System Configurator as an enabler of design automation. The implementation of the proposed framework on multiple case studies in different industrial contexts shall be considered as the next step of the research.

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