Aim:
Smart manufacturing and Internet of Things (IOT) are emerging as new complementary technologies. Equally, supply chains and logistics networks are becoming international, complex and vulnerable to uncertainties. The paradigm of complex production systems is changing its direction, resulting in the increase in adoption of the smart physical devices of IoT such as sensors and actuators, which are interconnected and controlled through software services using cloud infrastructure. They further require large scale storage space, big data, high end computer processing power, greater flexibility, and interoperable network protocols. Thus the convergence of cloud with the IoT has the potential to provide new levels of services in various sectors including science, research, and other smart manufacturing organizations. Moreover, the evolving information technologies and IOT have created an environment where objectives such as robustness and cost optimized solutions are shaping the needs for big data application, machine learning tools, data mining techniques and soft computing algorithms.
This special issue aims to foster the dissemination of high-quality research with emerging ideas, approaches, theories and practice to resolve the challenging issues related to the new developments in IoT and Logistics management. For instance, manufacturing of semiconductors, used in the integrated circuits, is a multifaceted process involving highly controlled production environment, sophisticated equipment and diverse variety. Using the big data and information technologies, specific issues can be targeted. Low cost solutions, fault detection, resource allocation, increasing production, etc. can be focussed more accurately.
Scope:
Topics to be addressed (not limited to the mentioned aspects) are listed as follows:
· Internet of things and smart manufacturing
· Manufacturing using IOT
· Logistics and supply chain management
· IOT in Logistics management
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