Decision Support for Sustainable Supply Chain Design and Management
A special issue of Informatics (ISSN 2227-9709).
Deadline for manuscript submissions: closed (30 June 2017) | Viewed by 19753
Special Issue Editors
Interests: design science in product design and development; engineering/design informatics for managing/supporting digital design and manufacturing; human factors and management of human performance
Special Issues, Collections and Topics in MDPI journals
Interests: supply chain management and logistics engineering
Special Issue Information
Dear Colleagues,
In the last few decades, sustainable supply chain management (SSCM) practices have been developed to integrate environmental concerns into organizations by reducing unintended negative consequences on the environment by production and consumption processes. Existing SSCM literature shows barriers, including complexity and uncertainty, and requirements, including organizational culture and strategy. Decision theory (DT), which provides deeper insight into this, is being studied as a theoretical perspective in SSCM. Thus, at the current time, it is worthwhile to investigate a set of key themes (planning, execution, coordination, and collaboration) and associated research opportunities (with respect to governance, risk, compliance, performance management, and the sustainability dimensions) of SSCM using DT supported techniques and methodology. This Special Issue of Informatics welcomes submissions on the topic of decision support for sustainable supply chain design and management. This inherently interdisciplinary topic draws from research in information science, environmental engineering, management science, artificial intelligence, knowledge engineering and management, and information systems. We encourage authors to submit their original research articles, work in progress, surveys, reviews, and viewpoint articles in this field. This Special Issue welcomes applications, theories, models, and frameworks that are concerned with (but not limited to) the following topics:
Prof. Dr. Wei Yan
Prof. Dr. Junliang He
Prof. Dr. Chun-Hsien Chen
Guest Editors
Manuscript Submission Information
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Keywords
- Supply Chain
- Decision Support
- Design and Management
- Sustainability
- Environment Engineering
- Planning
- Production
- Logistics
- Optimization
- Problem Solving
- Knowledge Engineering
- Artificial Intelligence
- Logic and Reasoning
- Data Mining
- Complex Cognition
- Information Systems
- Case Study
- Learning
- Simulation
- Data and Information Visualization
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