Data-Driven Development for Sustainable Smart Product-Service Systems
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".
Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 10958
Special Issue Editors
Interests: smart product–service systems; knowledge management
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent product design; intelligent product manufacturing; multi-objective optimization; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: smart technologies for manufacturing and services; big data-driven production management; cognitive intelligence-enabled design; manufacturing and supply chains
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Responding to a call for “doing more with less material” in circular economy, two concepts are proposed for promoting sustainability in the industrial system. One is a circular system aiming to achieve use of “less material”, transforming the linear lifespan into a circular one via several reversible strategies (e.g., re-design, remanufacturing, redistribution, reuse, and recycle). The other one is a product–service system for ‘doing more’, which largely extends the product lifespan with the innovation of multiple add-on services.
Enabled by emerging information and communication technology (ICT), such as advanced ubiquitous sensing, cloud computing, deep learning, and knowledge graphs, the intersection of two prevailing concepts, so-called sustainable smart PSS (SSPSS), is nurtured. Analyzing big lifecycle data and massive empirical knowledge collected from sensing devices and generated by stakeholders, SSPSS can better perform its sustainable use/reuse, maintenance, reconfigure, and recycle processes throughout the whole lifecycle and enhance user experience with highly customized on-demand services and reasonable consumptions of cyber-physical resources. Therefore, it provides a promising manner to realize sustainable development in the industrial system.
This Special Issue, entitled “Data-driven Development for Sustainable Smart Product–Service Systems”, concentrates on (big) data-driven ideations and methodologies for co-developing/re-developing sustainable products, services, and integrated systems. The scope of this Special Issue includes but is not limited to the following topics:
- New-generation ICT-enabled SSPSS architecture;
- Systematic framework and development process for SSPSS;
- Sustainable products and services innovation with context awareness;
- Multisource heterogeneous sustainability data analytics;
- Information/knowledge management systems design for SSPSS;
- Intelligent decision making in sustainable production and operation management;
- Quantified evaluation of sustainability in exploiting cyber-physical resources;
- Informatics-based sustainable evolvement in product and service iterations;
- Case studies on SSPSS development and implementation;
- Other methodologies, tools, and systems toward SSPSS.
As the overlapping scope of the two emerging fields of smart product–service systems and smart circular economy suggests, this Special Issue is intended to renovate the production–consumption pattern in co-developing/re-developing both physical components and digital services, through state-of-the-art informatics-based approaches, tools, and systems.
Dr. Xinyu Li
Prof. Dr. Pai Zheng
Prof. Dr. Tao Peng
Guest Editors
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Keywords
- smart product–service systems
- circular system
- sustainability
- reversible design and development
- data-driven manners
- knowledge-based systems
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