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Ocident Bongomin

Researcher at Moi University

Publications -  18
Citations -  308

Ocident Bongomin is an academic researcher from Moi University. The author has contributed to research in topics: Industry 4.0 & Literature survey. The author has an hindex of 6, co-authored 18 publications receiving 155 citations.

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Exponential Disruptive Technologies and the Required Skills of Industry 4.0

TL;DR: In this paper, a comprehensive literature survey covering the field of engineering, production, and management was done in multidisciplinary databases: Google Scholar, Science Direct, Scopus, Sage, Taylor & Francis, and Emerald Insight.
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Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

TL;DR: In this paper, a study aimed at identifying industry 4.0 neologisms and illustrating the convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of Things, nanotechnology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated.
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Antivenin plants used for treatment of snakebites in Uganda: ethnobotanical reports and pharmacological evidences

TL;DR: This review was sought to identify antivenin plants in Uganda and some pharmacological evidence supporting their use and identify and evaluate the antivenom compounds in the claimed plants.
Posted ContentDOI

The Hype and Disruptive Technologies of Industry 4.0 in Major Industrial Sectors: A State of the Art

TL;DR: In this paper, the authors identify industry 4.0 neologisms and illustrate the convergence of 12 disruptive technologies including 3D printing, Artificial intelligence, Augmented reality, Big Data, Blockchain, Cloud computing, Drones, Internet of things, Nanotechnology, Robotics, Simulation and Synthetic biology in agriculture, healthcare and logistics industries.
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Improvement of garment assembly line efficiency using line balancing technique

TL;DR: The present study aimed at balancing a trouser assembly line using the ranked positional weight technique to increase the line efficiency as well as minimize the number of workstations without violating the constraints: precedence relations, cycle time, and resource type.