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All Journal Journal of Mechanical Engineering Science and Technology International Journal of Industrial Optimization (IJIO)
Ghazali, Mariyam Jameelah
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Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Integration of lot sizing and scheduling models to minimize production cost and time in the automotive industry Badri, Huda Muhamad; Khamis, Nor Kamaliana; Ghazali, Mariyam Jameelah
International Journal of Industrial Optimization Vol 1, No 1 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v1i1.2753

Abstract

Lot planning and production scheduling are important processes in the manufacturing industry. This study is based on the case study of automotive spare parts manufacturing firm (Firm-A), which produces various products based on customer demand. Several complex problems have been identified due to different production process flows for different products with different machine capability considerations at each stage of the production process. Based on these problems, this study proposes three integrated models that include lot planning and scheduling to minimize production costs, production times, and production costs and time simultaneously. These can be achieved by optimizing model solutions such as job order decisions and production quantities on the production process. Next, the genetic algorithm (GA) and the Taguchi approach are used to optimize the models by finding the optimal model solution for each objective. Model testing is presented using numerical examples and actual case data from Firm-A. The model testing analysis is performed using Microsoft Excel software to develop a model based on mathematical programming to formulate all three objective functions. Meanwhile, GeneHunter software is used to represent the optimization process using GA. The results show production quantity and job sequence play an essential role in reducing the cost and time of production by Rp 42.717.200,00 and 31392.82 minutes (65.4 days), respectively. The findings of the study contribute to the production management of Firm-A in helping to make decisions to reduce the time and costs of production strategically, where it provides a guideline for complex production activities.
Influence of Different Nanoparticles on Thermophysical Properties and Wear Resistance of Corn Oil-Based Cutting Fluid in MQL-CNC Milling Machining Habiby, M. Nuril Anwar; Puspitasari, Poppy; Aminnudin, Aminnudin; Pramono, Diki Dwi; Fikri, Ahmad Atif; Ghazali, Mariyam Jameelah
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 9, No 1 (2025)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v9i12025p075

Abstract

Vegetable oil-based cutting fluids have emerged as a promising innovation in machining operations, supporting the advancement of sustainable and eco-friendly manufacturing practices. This study delves into the development of a biolubricant derived from corn oil, enriched with 0.15% mass fractions of various nanoparticles, including calcium carbonate (CaCO3), copper oxide (CuO), and multi-walled carbon nanotubes (MWCNT). These nano-cutting fluids were applied through the Minimum Quantity Lubrication (MQL) method during CNC milling of AISI 1045 steel. The investigation focused on evaluating thermophysical properties, including density, thermal conductivity, and dynamic viscosity, as well as tool wear performance. The results demonstrated that CuO nanoparticles yielded the highest density, while MWCNT exhibited superior thermal conductivity and viscosity. Among all samples, the fluid with MWCNT showed the most effective performance in minimizing tool wear. This study highlights the potential of nanoparticle-enriched vegetable-based cutting fluids as high-performance, environmentally responsible alternatives to conventional mineral oil-based lubricants, promoting greener machining in the manufacturing industry.
Co-Authors Ahmad Atif Fikri Aminnudin, Aminnudin Badri, Huda Muhamad Habiby, M. Nuril Anwar Khamis, Nor Kamaliana Pramono, Diki Dwi Rr. Poppy Puspitasari