The Combination Method for the Service Parameters of Product-Service Systems

2015 ◽  
Vol 752-753 ◽  
pp. 1374-1378
Author(s):  
Fei Zhang ◽  
Yang Xu

To realize the optimum parameters combination of product-service systems, a method based on the customer demands was referred. Firstly the customer demands and characteristic were divided into three types. Secondly using the combination of quantitative and qualitative method, the model of different customer satisfaction function to meet the various demands was established through data fitting. Finally more accurate and reasonable parameter combination model was achieved by building the optimal design model to meet the customer demands. Taken the grader company as an example, the validity of this method was proved.

2012 ◽  
Vol 220-223 ◽  
pp. 2534-2539 ◽  
Author(s):  
Hui Jun Long ◽  
Li Ya Wang

Product service system is a bundle of products and services. For higher customer satisfaction, product service systems have to be configurated to lead to desired customer perceptions. And it is necessary for configuration to discover the mapping relationship which is normally characterized by imprecision, uncertainty and non-linearity, from product service systems to customer perceptions. This paper proposes an approach based on dominance relation rough set to extract configuration knowledge considering customer perceptions. Loadometer product service system is used as a case to validate the proposed approach, and the results gain from the case show that the approach is effective.


2021 ◽  
Vol 13 (4) ◽  
pp. 2118
Author(s):  
Emma Johnson ◽  
Andrius Plepys

Business models like product-service systems (PSSs) often recognise different sustainability goals and are seen as solutions for the impacts of consumption and fast fashion, but there is a lack of evidence supporting the environmental claims of such business models for clothing. The research aimed to understand if rental clothing business models such as PSSs have the environmental benefits often purported by quantifying the environmental impacts of rental formal dresses in a life-cycle assessment (LCA) in a case study in Stockholm, Sweden. The effects of varying consumer behaviour on the potential impact of a PSS vs. linear business model are explored through three functional units and 14 consumption scenarios. How users decide to engage with clothing PSSs dictates the environmental savings potential that a PSS can have, as shown in how many times consumers wear garments, how they use rental to substitute their purchasing or use needs, as well as how consumers travel to rental store locations.


2021 ◽  
Vol 295 ◽  
pp. 126286
Author(s):  
Heather A. Schoonover ◽  
Oksana Mont ◽  
Matthias Lehner

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1877
Author(s):  
Widha Kusumaningdyah ◽  
Tetsuo Tezuka ◽  
Benjamin C. McLellan

Energy transitions are complex and involve interrelated changes in the socio-technical dimensions of society. One major barrier to renewable energy transitions is lock-in from the incumbent socio-technical regime. This study evaluates Energy Product–Service Systems (EPSS) as a renewable energy market mechanism. EPSS offer electricity service performance instead of energy products and appliances for household consumers. Through consumers buying the service, the provider company is enabled to choose, manage and control electrical appliances for best-matched service delivery. Given the heterogenous market players and future uncertainties, this study aims to identify the necessary conditions to achieve a sustainable renewable energy market. Simulation-Based Design for EPSS framework is implemented to assess various hypothetical market conditions’ impact on market efficiency in the short term and long term. The results reveal the specific market characteristics that have a higher chance of causing unexpected results. Ultimately, this paper demonstrates the advantage of implementing Simulation-Based Design for EPSS to design retail electricity markets for renewable energy under competing market mechanisms with heterogenous economic agents.


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