Article
Green & Sustainable Science & Technology
Xinyu Li, Zuoxu Wang, Chun-Hsien Chen, Pai Zheng
Summary: The pursuit of higher sustainability and extended product lifecycle in companies' design/development efforts has led to the introduction of concepts like the smart circular system and Smart PSS. However, existing studies often overlook cyber-physical resources in the sustainability discussion, highlighting the need for an integrated strategy for Sustainable Smart PSS. This paper proposes a data-driven reversible framework to exploit information/knowledge for Sustainable Smart PSS development, with a focus on context-aware processes to support decision-making and optimization. The framework is illustrated with the sustainable development of a 3D printer, showcasing the feasibility and advantages of this approach for Smart PSS development in a cyber-physical environment.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Yan Xin, Ville Ojanen
Summary: This study examines knowledge reuse in product-service systems from a product life-cycle perspective. The findings suggest that it is important to have a consistent understanding of knowledge requirements between the sender and recipient, match the knowledge sourced with the mechanism employed, and prioritize organizational culture/mechanisms for retaining high-caliber employees.
Article
Computer Science, Artificial Intelligence
Ru Wang, Anand Balu Nellippallil, Guoxin Wang, Yan Yan, Janet K. Allen, Farrokh Mistree
Summary: Process knowledge is crucial for the digitalization and intelligentization of the manufacturing industry. The management of complexity and uncertainty in model-based engineered systems is critical to achieving rational, comprehensive, and robust decisions. The proposed decision-centric design process representation scheme aims to support the management of complexity and uncertainty in decision-making processes.
ADVANCED ENGINEERING INFORMATICS
(2021)
Article
Business
Meina Zhao, Xuqi Wang
Summary: The digital trends in product-service system (PSS) development focus on developing win-win solutions for both companies and customers, particularly when considering human behavior issues. This study solved the PSS implementation that satisfied the demands of both customers and manufacturers through a neuroscience methodology, emphasizing the importance of service experience and a personalized understanding of PSS value perception.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2021)
Article
Green & Sustainable Science & Technology
Kaito Tsunetomo, Kentaro Watanabe, Yusuke Kishita
Summary: Digitalization has become a crucial driver for creating value for customers and stakeholders, and it is important to consider the social and ethical impacts of digital technologies when designing smart product-service systems (PSS). This paper proposes integrating value sensitive design into the PSS design process to address this issue. The design process combines participatory and systematic approaches and enables the consideration of social and ethical values in an iterative manner.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Mechanical
Jeremy S. Liang
Summary: This research aims to create a knowledge management platform for overall automotive troubleshooting service, and general ontologies such as ATSO are created as useful tools for communication among heterogeneous systems. The proposed approach of automotive collaborative troubleshooting assures traceability in both system and domain phases by structuring knowledge, and an application in enhancing reusability in the automotive braking system domain is illustrated in a collaborative environment.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Omar Ezzat, Khaled Medini, Xavier Boucher, Xavier Delorme
Summary: This paper presents a method for modularizing a service-oriented system that consists of products and services. The method uses modularization criteria and clustering techniques to form modules, and evaluates the clustering results using indicators to provide insights for decision-makers.
JOURNAL OF INTELLIGENT MANUFACTURING
(2022)
Article
Green & Sustainable Science & Technology
Peng Zhang, Shaohua Jing, Zifeng Nie, Boyuan Zhao, Runhua Tan
Summary: This paper proposes a sustainable PSS development framework based on DCC theory to enhance PSS sustainability and social benefits by analyzing system complexity and solving problems. The framework helps to reduce conflicts in design attributes, enhance system stability, and improve the possibility of achieving FRs.
Article
Green & Sustainable Science & Technology
Jean-Robert Agher, Patrice Dubois, Ameziane Aoussat
Summary: This paper discusses the importance of product-service system (PSS) innovation and the potential failure risks associated with PSS implementation, with conflicts and their sources being a significant factor leading to failure. The study emphasizes the importance of interactions and conflicts in the design and management of PSS, with future research suggested to focus on considering all significant interactions and categorizing responses to tensions during PSS design.
Article
Green & Sustainable Science & Technology
Mariusz Salwin, Ilona Jacyna-Golda, Andrzej Kraslawski, Aneta Ewa Waszkiewicz
Summary: This paper investigates the application of PSS design methods in the development of new business models and proposes a new approach for classifying these methods. Through analysis of 60 PSS design methods, it is found that they mainly address different domains of the business model canvas. However, there is currently no method that covers all building blocks of the business model canvas.
Article
Engineering, Industrial
Bart L. MacCarthy, Robert C. Pasley
Summary: PLM systems are used to support industrial organizations in managing their product portfolios across all phases of the product lifecycle. Decision-making in PLM is an under-researched area, but can be enhanced by applying decision-making theory and group decision support concepts. Six principles have been proposed to support decision-making in a PLM context, enabling decisions to be codified, recorded, and reviewed for future reuse.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Mechanical
Ru Wang, Jelena Milisavljevic-Syed, Lin Guo, Yu Huang, Guoxin Wang
Summary: This paper discusses the demand for decision support in complex engineered systems design in the era of Industry 4.0, proposing an architecture for a cloud-based decision support system that manages complexity, uncertainty, and knowledge to provide systematic design guidance. Two design case studies validate the effectiveness of this system.
JOURNAL OF MECHANICAL DESIGN
(2021)
Article
Business
Haksin Chan, Morgan X. Yang, Kevin J. Zeng
Summary: This research focuses on the strategic design of ratings and reviews systems on multi-sided platforms to ensure a steady flow of buyer-generated product knowledge. It presents a theoretical model and identifies exemplary practices through exploratory observations, contributing to theory and practice in the field of multi-sided platforms.
JOURNAL OF BUSINESS RESEARCH
(2022)
Review
Computer Science, Interdisciplinary Applications
Angela Carrera-Rivera, Felix Larrinaga, Ganix Lasa
Summary: Smart-Product Service Systems (S-PSS) are a novel strategy that integrates smart products and their related e-services to fulfill user's needs in context-dependent environments. S-PSS has the potential to promote economically, ecologically, and socially sustainable practices and business models. However, the utilization of the digital capabilities of smart products and their services in design and enhancing user experience is currently limited. This study focuses on the Context-awareness capability and contributes to the research on S-PSS by conducting a systematic literature review and analyzing case studies.
COMPUTERS IN INDUSTRY
(2022)
Article
Computer Science, Artificial Intelligence
Mona Sloane, Ian Rene Solano-Kamaiko, Jun Yuan, Aritra Dasgupta, Julia Stoyanovich
Summary: As automated decision systems (ADS) become more integrated into global business processes, the need for practical methods of establishing meaningful transparency is growing. This article introduces the concept of contextual transparency, which combines social science, engineering, and information design to improve ADS transparency for specific professions, business processes, and stakeholders. The applicability of contextual transparency is demonstrated through a case study on the use of nutritional labels for ADS-driven rankers in recruiting processes, and suggestions for future work are provided.
NATURE MACHINE INTELLIGENCE
(2023)