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All Journal Indonesian Journal of Computer Science and Engineering "Journal of Data Science Journal Majelis Paspama
Uchendu Onwusoronye Onwurah
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : Journal Majelis Paspama

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The Integration of TPM in SS-DMAIC Framework to Reduce Production Losses and Enhance Process Performance: a Case Study Chukwuebuka Martinjoe U-Dominic; Ifeyinwa Juliet Orji; Uchendu Onwusoronye Onwurah; Nwufo Maduka Augustine
Journal Majelis Paspama Vol. 3 No. 01 (2025): Journal Majelis Paspama, January 2025
Publisher : Journal Majelis Paspama

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Abstract

The primary cause of production system losses is widely recognised to be unplanned stoppages and breakdowns, as idle machines waste time and lower output and throughput. Many firms have undergone a paradigm shift from traditional methods to more sophisticated process improvement strategies to address the dynamic and ever-changing production constraints. To lower production downtimes and other process-related issues, an integrated improvement approach of TPM-SS-DMAIC was used in this study. The new suggested approach was validated in the cable manufacturing industry. The goals of the study were achieved in terms of increased worker knowledge, better quality, and fewer unplanned stoppages and breakdowns. Standard operating procedures were updated in response to suggestions for ways to reduce needless stoppages in extrusion line operations. Furthermore, following the process change, the overall equipment effectiveness (OEE) increased from 58% to 63%, indicating a noteworthy level of improvement.
Ramifications of Artificial Intelligence on Organizational Performance in Nigeria Godspower Onyekachukwu Ekwueme; Uchendu Onwusoronye Onwurah; Ifenyinwa Faith Ogbodo
Journal Majelis Paspama Vol. 2 No. 2 (2024): Journal Majelis Paspama, July 2024
Publisher : Journal Majelis Paspama

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Artificial intelligence (AI) has been identified to be very significant in the twenty-first century in almost every discipline, including engineering, science, education, medical, business, accounting, finance, marketing, economics, manufacturing, the stock market, and law. This study examined the impact of artificial intelligence on organizational performance in a microfinance bank. Relevant data were drawn from selected one hundred (100) staff of XYZ Microfinance bank based in Nigeria, using a well-structured questionnaire. The data collected were descriptively analyzed. The results showed that artificial intelligence has positive impact on the organizational performance. The results also revealed that high cost of implementation, anxiety among workers, role displacement, ethical issues, significant investment in technology and training, among others are the challenges affecting the adoption of artificial intelligence in the business organization in Nigeria. The study recommends that Businesses must take proactive measures to address the obstacles to AI adoption if they want to optimize the technology's beneficial effects on organizational performance.
Co-Authors Chinedu Sebastian Ani Christopher Chukwutoo Ihueze Chukwuebuka Martinjoe U-Dominic Emmanuel Okechukwu Chukwumuanya Godspower Onyekachukwu Ekwueme Godwin Harold Chukwuemeka Ifenyinwa Faith Ogbodo Ifeyinwa Juliet Orji Nwufo Maduka Augustine Obiora Jeremiah Obiafudo Onyekachukwu Godspower Ekwueme