Abstract
The large scale increase of communication and number of devices in the Industrial Internet of Things (IIoT) has rapidly enabled practitioners to make decisions based on multicriteria. Multicriteria decision support systems (MCDSSs) play an important role in decision-making for a particular situation based on several criteria. Making of decision based on multicriteria is the main issues for research community and practitioners of the IIoT. Several decision support systems (DSSs) are offered for making decisions which have the potentiality to support the activities of the decision-making process. The suggested study shows a review on the existing decision support systems for the IIoT for source code transformation which will enable research community and practitioners of the industry to use the existing methods, tools, approaches, and techniques and to provide novel solutions for the smooth industry of Internet of Things.
Highlights
Techniques, methods, and tools of decision support systems are devised by researchers to tackle different situations of IIoT. ese solutions consist of dealing the problems from simple to more complex with various criteria of handling
With the advancements of technology and information communication, decision-making on right and appropriate time is a challenging issue for the industrial Internet of things
Taking decision on the right and appropriate time can lead the industry into success
Summary
Techniques, methods, and tools of decision support systems are devised by researchers to tackle different situations of IIoT. ese solutions consist of dealing the problems from simple to more complex with various criteria of handling. Techniques, methods, and tools of decision support systems are devised by researchers to tackle different situations of IIoT. Liu et al [23] proposed a framework of IIoT cloud-fog hybrid network for data processing of industry. Sahal et al [24] studied the strong point and flaws of open source technologies for big data and stream processing to setup its applications for use cases of industry 4.0. Younan et al [33] offered a research with a wide-ranging analysis of the current issues in the literature and recommended the use of technologies for allowing the data study and search in upcoming IoT search engines. Ey offered two case studies for showing encouraging development on intelligence and smartness of IoT presentations based on the incorporation of information and communication technologies. Souza et al [36] proposed digital twin architecture design guidelines through the incorporation of existing technologies and IIoT
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