2017
DOI: 10.1016/j.procir.2016.11.165
|View full text |Cite
|
Sign up to set email alerts
|

A Mapping Network Model Integrating Service to Warrant Function Availability of Complex Electro-mechanical Products

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 11 publications
0
2
0
Order By: Relevance
“…It has been demonstrated by Mishra et al (2016) and Darby (2017) that there is a lack of studies which examine both the energy consumption of smart devices compared to traditional ones while also incorporating the wider user behavioural change. Chang et al (2017) stated that a product service system (PSS) allows for the combination of the product and the system and has great advantage to achieve environmental sustainability. Other authors have identified challenges in assessment approaches for PSS.…”
Section: Introductionmentioning
confidence: 99%
“…It has been demonstrated by Mishra et al (2016) and Darby (2017) that there is a lack of studies which examine both the energy consumption of smart devices compared to traditional ones while also incorporating the wider user behavioural change. Chang et al (2017) stated that a product service system (PSS) allows for the combination of the product and the system and has great advantage to achieve environmental sustainability. Other authors have identified challenges in assessment approaches for PSS.…”
Section: Introductionmentioning
confidence: 99%
“…They developed a computer-aided function design software system. Feng et al defined parallel meta-automata and feedback meta-automata models [22] . With the help of disjunctive and reversal operations of weighted automata, the series solution, parallel solution, and feedback solution of functional semantic units were obtained.…”
Section: Introductionmentioning
confidence: 99%