Browsing by Author "Bandara, L"

Now showing 1 - 2 of 2

Embargo
Industry 4.0 Implementation in Sri Lankan Manufacturing Firms: A Lean Perspective
(IEEE, 2023-08-17) Bandara, L; Withanaarachchi, A; Peter, S
Manufacturing industries require the highest quality and efficiency throughout their value chain, to compete with countries having a labor cost advantage. Today, manufacturing firms are in a fast-phased run to automate their processes and increase value chain integration through advanced technologies. Industry 4.0 has gained traction within this community, where its components like IoT, Big data, and Cloud computing are being used by manufacturing firms to optimize and increase the efficiency of their workplaces. Obtaining the proper outcomes from these advanced technologies has been an issue for most of its users. Very few studies were found in the literature, that propose ways to mitigate the issues faced by these companies in their Industry 4.0 journey. Lean concepts are a popular and proven methodology used by firms worldwide to decrease the complexity and increase the productivity of their processes. Based on a systematic literature review, the study identifies the current knowledge on mitigating the barriers faced by manufacturing firms in Industry 4.0 implementations. To address the knowledge gap identified in the literature review, the study proposes and statistically tests a framework, on how the manufacturing environment can be improved to obtain the expected outcomes of Industry 4.0 implementations, through a lean theoretical lens. Thus, the stakeholders of the company can contribute towards successful implementations of Industry 4.0 while organizational processes are being standardized and optimized to integrate these advanced technological shifts.
Embargo
Intelligent Crowd-Sourced 5G Heat-map with Event-driven Architecture
(IEEE, 2021-12-06) Bandara, L; Rathnasinghe, H; Kavinda, E; De. Seram, C; Mahaadikara, M.D.J.T. H
5G networks are expected to revolutionize the mobile network and IoT industries. Increased data transfer speeds, reduced latency, and extended bandwidths enable the true power of 5G networks. To support increased bandwidths cellular industry looked to high-frequency bands with high data rates in the spectrum above 24 GHz which are typically called “millimeter waves”. The introduction of millimeter waves reduces the coverage radius drastically due to high penetration losses and the blocking nature of this wave spectrum. The reduced coverage radius causes higher infrastructure costs for the network providers. This research will focus on a crowdsourcing mechanism where network data is collected through a mobile application and use this data to generate a real-time network coverage map. In addition, collected data will be used to predict future network quality demands and locations for cell towers with the help of machine learning technologies. The outcome of this research will be beneficial to network providers to reduce infrastructure costs by optimally laying infrastructures.