Complex & Intelligent Systems - Special Issue on
Complexity of Logistics and Supply Chain Management Facing Technological Innovations
New technology is transforming daily business processes for many in supply chain management. The need for real-time tracking and accurate delivery systems makes supply chain management ripe for technological innovation. Technological innovations such as big data, cloud computing, Internet of Things (IoT), blockchain, and artificial intelligence (AI) are leading the way throughout the logistics and supply chain management (LSCM). Significant challenges are emerging within organizations and among different entities. For instance, applications of robots or autonomous vehicles in logistics operation process are greatly powered by AI, computer vision and machine learning, which can support to enhance the operational efficiency, meet the on-demand orders and minimize logistics costs, while dynamics, uncertainties as well as difficulties in logistics management will also increase. Explorations with blockchain, IoT and social media in practice call for innovative LSCM models to help reshape supply chain structures and coordinate relationships among different organizations.
Therefore, this special issue aims to collect scientific research particularly based on various optimization models and algorithms or by data-driven quantitative analysis to expand the existing literature and provide better understandings to academics and practitioners in the area of complex LSCM with technological innovations.
Potential topics include but are not limited to the following:
- Transformed operation mechanisms of logistics and supply chain management caused by technological innovations
- System development of logistics and supply chain management caused by technological innovations
- Operations and logistics and supply chain management modeling with technological innovations
- Quantitative analyses for typical applications with technological innovations in the area of logistics and supply chain management
- Big data, predictive analytics and decision making in logistics and supply chain optimization
- Innovations in logistics and supply chain managements with AI, blockchain, IoT and social media technologies
- Initiative logistics and supply chain management with new technologies or concepts considering sustainability or social/environmental benefits
- Performance implications of adopting advanced technologies in logistics and supply chain management
- Risk management in logistics and supply chain operations considering with technological innovations
- Government interventions and policies in technology supported logistics and supply chain management
Submission Deadline | December 31, 2020 |
Decision Date | December 1, 2020 |
Papers are published upon acceptance, regardless of the Special Issue publication date.
Guest Editors
Dr. Daqing Gong (Lead Guest Editor) | Beijing Jiaotong University, China Email: dqgong@bjtu.edu.cn (this opens in a new tab) or daqinggong6@gamil.com |
Prof. Wai Chi Fang | National Chiao Tung University, Taiwan E-mail: Dr.WFang@gmail.com (this opens in a new tab) |
Prof. Jinan Fiaidhi | Lakehead University, Canada E-mail: jfiaidhi@lakeheadu.ca (this opens in a new tab) |
Prof. Sabah Mohammed | Lakehead University, Canada |
Prof. Carlos Ramos | ISEP, Polytechnic of Porto, Portugal E-mail: CSR@isep.ipp.pt (this opens in a new tab) |