INTERNATIONAL JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING

Evaluation and optimization of recycled paper quality for Tissue Paper Production with Comparative Techniques using Historical Data. A case of Anex Paper Industries.

UZOCHI OGBONNA, Patrick Aguh — Thu, 07 Mar 2024 00:00:00 +0100

The work focused on the evaluation and optimization of production quality of recycled paper for toilet tissue production in Anex manufacturing industry. Literature review revealed that no study has ever been carried out specifically and existing literatures have not intensively expressed its prediction and optimization of their production quality. The case company has no specific method of foreseeing and improving in the future the quality of the production output. This serves as the knowledge gap which the researcher tends to reveal. Data on the production yield were collected from the industry covering a period of six months. The graphical models developed using MatLab and Linear regression techniques in plotting the production input (raw material) against defective product produced measures of accuracy of the models. The MatLab technique produced a model with a measure of accuracy (MSE) of 290.06 while Linear regression technique produce a measure of accuracy (MSE) of 268.86. From the results of the models, it can be deduced that the model with lesser error is the more appropriate method to achieve the best product quality. The models were validated using response surface plots, which give the same measures of accuracies.

Keywords: Recyclable paper, Production yield, Graphical models, Measures of accuracy.

Cost-Benefit Analysis of IoT-Enhanced Maintenance: A Quantitative Assessment for Large-Format Printing Machine

Chukwuma Ono, Harold Chukwuemeka Godwin, Chika Edith Mgbemena — Thu, 07 Mar 2024 00:00:00 +0100

This paper offers a compelling cost-benefit analysis of implementing Internet of Things (IoT)-enhanced maintenance strategies for large-format printing machines, with a focus on the Yinghe 6-feet printer. By comparing pre-IoT (January 2021 to December 2022) and post-IoT (January to July 2023) data, the study demonstrates significant reductions in maintenance frequency, technician labor costs, and machine component replacement expenses. Notably, the IoT system effectively minimizes wasted flex material and improves ink efficiency. Key findings include a 49.4% reduction in average monthly technician labor costs, a 93.9% reduction in average monthly machine component replacement costs, and an 87.6% reduction in wasted flex material. These findings have profound implications for industries relying on large-format printing machines, showcasing the potential for cost savings, increased efficiency, and extended equipment lifespan through IoT adoption. The paper concludes with a strong recommendation for organizations to consider IoT-enhanced maintenance strategies based on the observed empirical evidence, contributing invaluable insights to the optimization of maintenance practices in industrial settings.

Simulation and Modelling of Hydrogen Production Process using Proton Exchange Membrane and Alkaline Electrolysis- A review.

Victor Ibude, Chika Edith Mgbemena , David Obike Onuoha — Thu, 07 Mar 2024 00:00:00 +0100

This review provides a comprehensive analysis of modelling approach for hydrogen production processes employing Proton Exchange Membrane (PEM) and Alkaline Electrolysis technologies, implemented using MATLAB Simulink/Simscape. The systematic review revealed that for PEM electrolysis, emphasis is placed on intricate modelling of system components crucial for hydrogen production, transient responses, and the integration with renewable energy sources like photovoltaic modules. Conversely, studies on Alkaline electrolysis delve into the influence of structural parameters, operating conditions, efficiency and hydrogen production rates. By comparing and contrasting these approaches, the review elucidates the strengths and limitations of each methodology and their contributions to advancements in renewable energy-based hydrogen production systems. Furthermore, the review discusses future research directions and potential areas for optimisation and innovation in hydrogen production plant modelling using MATLAB Simulink/Simscape. This review identifies gaps in current research and proposes potential avenues for future investigation, with the aim of advancing our understanding and optimisation of hydrogen production process for a sustainable energy future.