Logistics and Sustainable Supply Chain Management
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".
Deadline for manuscript submissions: closed (30 November 2020) | Viewed by 39014
Special Issue Editors
Interests: engineering management; logistics; supply chain management; production management systems
Special Issues, Collections and Topics in MDPI journals
Interests: Optimisation, Logistics and Transportation, Modelling
Special Issue Information
Dear Colleagues,
With growing concern about the impact of greenhouse gases (GHG) emission and land pollution in energy consumption from manufacturing industries, urban and rural transportations as well as agriculture productions, improving and implementing environmental-friendly logistics arrangement and sustainable supply chain management emerge as significant agendas among international-, state-, and enterprise-level’s strategy planning. With increasing number of nations imposing GHG regulatory policies, manufacturing industries and logistics enterprises with high energy consumption are required to provide proper measures in order to observe the respective requirements before implementing or resuming their commercial activities.
Recent rapid development of Data Science, including Industry 4.0, Internet of Things, Data Mining and Machine Learning enables a visualization of logistics and supply chain management. In addition to the evolutions of Artificial Intelligence and optimization methodology, academic community and industrial sector are pursuing a robust and applicable decision-making to simulate real-life applications. In the state-of-the-art data analytics and modelling method, researchers and practitioners can better manage the future supply chain management decision with sustainable and potential related risk considerations.
The emerging research methods provide decision-making support, data-driven supply chain management and data analytics with regard to the decisions of options. The respective benefits can be brought to various industry applications, including urban and rural intelligent transport systems, maritime logistics, air traffic planning and control, sustainable supply chain design, manufacturing, agriculture production as well as among multi-industry.
The aim of the special issue is to provide original and latest contributions, and to review and survey research and development on logistics and sustainable supply chain management, which focuses on the state-of-the-art and potential technologies and providing initiatives for the solutions from academic to enter corresponding practical scenarios. This special issue aims to stimulate and promote the development of novel approaches in enabling a sustainable logistics and supply chain management solution. It intends to invite a series of leading and high-quality papers on ideas, methods, and technologies applied for logistics and sustainable supply chain management. Topics will include, but not limited to, the follows:
(1) Efficiency and flexibility modelling in logistics planning
(2) Energy consumption control in logistics
(3) Supply chain design, optimization and data-driven modelling with consideration of sustainability
(4) Data and the applications on technology improvement and optimization in logistics solution
(5) Machine learning in GHG emission predictions
(6) Data mining for energy performance improvement in manufacturing
(7) Big data analytics for environment pollution analysis in energy consumption
(8) Mathematical programming for combinatory optimization problem in logistics and supply chain
(9) Collaborative modelling for multi-objective optimization for sustainable logistics
(10) Other relating research topics
Prof. Felix T. S. ChanDr. Yichen Qin
Dr. Hoi Lam Ma
Guest Editors
Manuscript Submission Information
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Keywords
- Logistics planning
- Supply chain management
- Energy consumption
- Data mining and analytics
- Multi-objective optimization
- Modelling
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