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All Journal International Journal of Electrical and Computer Engineering Journal of Information Systems and Informatics The Indonesian Journal of Computer Science
Mnkandla, Ernest
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : The Indonesian Journal of Computer Science

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A Theoretical Artificial Intelligence Framework for Electricity Generation Life Cycle Mnkandla, Ernest
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3019

Abstract

The global economic growth heavily lies on the manufacturing sector. However, over the past decade, manufacturing sector in general has been facing a serious production downturn, hence, operating below its capacity mostly due to its inefficient and ineffective production system. Additionally, due to failure for manufacturing sector to constantly measure, develop and implement novel approaches in order to make sure it positions itself for economic growth as well as unlocking new opportunities within the ever-changing and complex worldwide market environment. However, ss of 2011, Industrial revolution 4.0 seems to have been a crucial factor in reshaping the sociological, economic, and technological landscape. Businesses associated with exposure to continuous digital transformation are able to capitalize on Industrial revolution 4.0 potential but are also compelled to deal with various impediments. Yet, research on the opportunities associated with the integration of Industry 4.0 in manufacturing industries from a holistic perspective is scarce. To fill this research gap, this study adopted the PRISMA approach to conduct a thorough investigation on the potential opportunities related to the adoption of industry 4.0 in the context of manufacturing businesses.
Application of Artificial Neural Network into Manufacturing Processes Mnkandla, Ernest; Mulongo, Yves
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3022

Abstract

The neural network model is an advanced and effective tool aims at simulating the manufacturing operations. An important number of researchers have utilized artificial neural network (ANN) to optimising multiple response metrics in manufacturing applications. In the majority of situations, the use of ANN enables the prediction of the mechanical and physical properties of manufacturing goods based on provided technical data. To this end, the deployment of ANN in manufacturing sector is tremendously significant in terms of cost and material resource savings. Thus, Artificial neural network as a key component regarding the optimization of the manufacturing processes.
Co-Authors Abba Ari, Ado Adamou Aboubakar, Moussa Abran, Alain Marebane, Senyeki Milton Moulla, Donatien Koulla Mulongo, Yves