Browsing by Author "Rajab, Sulaiman"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Open Access A multi-level analysis of the implementation of industrial internet of things: challenges and future prospects(SSRN, 2020-10-26) Rajab, Sulaiman; Saxena, Prateek; Salonitis, KonstantinosIndustrial Internet of Things (IIoT) is still a new research area. The main emphasis of the IIoT literature is on identifying the challenges involved in implementation of the IIoT. This paper summarizes the literature on the barriers faced by any stakeholder aiming to adopt IIoT anywhere. After reviewing 31 empirical studies, three domains of factors have been identified, individual (skills, abilities and knowledge), institutional (organizational/management-related), and structural (technical and economic infrastructures). A total of eleven factors across the three dimensions have been extracted. The most important factors were the absence of human capital (limited individual soft and technical knowledge, skills and abilities), low information security experience leading to a high probability data leaks and high management resistance from employees and leaders. To strengthen information for successful IIoT implementation, this paper proposes the mandate of Security, Education, Training, and Awareness (SETA) initiatives for any stakeholder interested in IIoT adoption. A Causal loop diagram for the IIoT implementation is also developed and discussed in this workItem Open Access Using industry 4.0 capabilities for identifying and eliminating lean wastes(Elsevier, 2022-05-26) Rajab, Sulaiman; Afy-Shararah, Mohamed; Salonitis, KonstantinosThis paper conducts a review of the literature to identify associations in operations between Industry 4.0 capabilities such as Additive Manufacturing, Augmented Reality, Autonomous Robots, Big Data, Cloud Computing, IIoT, Simulation, and Systems Integration with the commonly identified lean manufacturing wastes of Transport, Inventory, Movement, Waiting, Overproduction, Overprocessing, Defects, and Underutilized skills. The paper documents research that links various capabilities and wastes, including how IIoT can be used to reduce defects in manufacturing, and how it can mitigate overproduction across industries. There is also evidence that big data implementation in manufacturing has positive effects on reducing waiting times across the manufacturing process and delivery, and that cloud computing technologies guarantee better estimates for product and predicted inventory amounts. The research finds impacts on the social aspect of manufacturing by how augmented reality tools are increasingly used in the manufacturing sector to improve workers’ knowledge, skills, and abilities, and that simulation software applications are capable of decreasing operator motion wastes. The paper concludes that there is a clear benefit for SMEs in using Industry 4.0 in lean implementation journeys, and it supports the efforts of manufacturing organizations to become leaner using Industry 4.0 capabilities and solutions.