Special Issue "Big Data for Supply Chain Management in the Service and Manufacturing Sectors"

Submission Deadline: 31 December 2021
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Guest Editors
Dr. Nguyen Van Thanh, Van Lang University, Vietnam.
Dr. Phan Nguyen Ky Phuc, International University, Vietnam.
Dr. Kittisak Jermsittiparsert, Dhurakij Pundit University, Thailand.

Summary

Nowadays, as the world is becoming heavily integrated, supply chains are becoming more vulnerable to disruptions such as pandemics and natural disasters. Furthermore, the mounting pressure of environmental and socio-economic problems is becoming more apparent.

These issues, coupled with the ever changing and growth of technologies, are creating new and exciting challenges for modern supply chains when the integration between physical and cyber systems, as well as resilience to unpredictable events, are becoming decisive to organizations’ operational and long-term success.

This special issue is opening for leading researchers, educators, software developers, and practitioners to discuss current issues, share ideas and experiences on the latest development in the field of Industrial System Engineering, Logistics and Supply Chain Management, and Management Science.


Keywords
Modeling, and engineering of designing and manufacturing
Smart logistics and green mobility
Closed loop Supply chains
Green Sourcing and Procurement
Reverse Manufacturing and Logistics
Logistics for Healthcare Systems
Sustainability in logistics and supply chains
Novel automation, information, and data architectures on the design of logistics systems and supply chains
Intelligent transportation and distribution systems: theory and application
Automation and Informatics for Intelligent Transportation Systems
Port, supply chain and warehouse of the future
Distribution Strategies & packing management
Logistics Planning and Control
Optimization of Logistics & SCM Systems
Inventory Management
Decision Support Systems for Logistics & SCM
E-logistics, E-supply chain, Last mile delivery problems
IoTs applications in SCM
Operation research/ Optimization
Modeling, Simulation in Supply chains and Industrial Systems
Scheduling in manufacturing & service systems