Special Issue "Impact of Industry 4.0 on Supply Chain Management and Optimization"

Submission Deadline: 31 August 2021
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Guest Editors
Dr. Ansari Saleh Ahmar, Universitas Negeri Makassar, Indonesia.
Dr. Nguyen Van Thanh, Van Lang University, Vietnam.
Dr. Ngo Quang Trung, Van Lang University, Vietnam.


Industry 4.0 is the Fourth Industrial Revolution and can be used as a framework to address all aspects of product production with minimize production costs, materials' waste, labor. The emerging paradigm of Industry 4.0 poses new systems design production problems at smart manufacturing systems, robust and flexible automation, distributed and reconfigurable production systems, logistics, and supply chain integration. The industrial processes from maintaining machines to managing supply chains, can be optimized and transformed smarter by capturing and analysing data more intelligently.


With evolution of Industry 4.0, how should we operate our production lines and factories, how should we manage and optimize inventory, transportation networks, how should we manage our supply chains?


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 computer systems science and their applications in both theoretical and practical hardware and software problems in supply chain management and optimization. The main focus of this special session will also be to address the challenges and opportunities related to Industrial IOT, Smart manufacturing, Intelligent robotics, Big data analytics and Machine learning on on Supply Chain Management and Optimization.

• Computer systems science and their applications in in supply chain management and optimization
• Modeling, and engineering of designing and manufacturing
• Sustainability in logistics and supply chains
• Novel automation, information, and data architectures on the design of logistics systems and supply chains
• Optimization of Logistics and supply chain management Systems
• Multicriteria Decision Making Model for Logistics and supply chain management
• Big data and IoTs applications in SCM
• Operation research/ Optimization
• Scheduling in manufacturing & service systems