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Reducing Waste and Optimizing the Silicone Production Process in the Furnace Sub- Department at the “Netafim” Plant
IEM-B-06
Nitzan Ozer; nitzan315ozer@gmail.com Koral Akazani; koral.si17@gmail.com
Advisor: Prof. Yossi Hadad
SCE - Shamoon College of Engineering, Be'er-Sheva
This project was conducted at the “Netafim” Plant in Kibbutz Hatzerim, which specializes in advanced irrigation systems, including silicone drippers. The silicone production process includes high temperature curing in the Furnace Sub-Department, where we identified significant material waste. This project was designed to analyze and optimize that production process-to reduce waste and improve operational efficiency. By performing work sampling, we identified key failure points, measured waste levels and proposed mitigation strategies, while assessing their economic feasibility. Our suggested improvements include: optimizing production procedures; implementing an optimal inventory policy; and enhancing quality control measures. The findings demonstrate significant potential for cost savings and increased efficiency, while ensuring high standards of quality and accuracy.
Keywords: forecasting, inventory management, quality control, waste reduction, work-study
Improving and Streamlining the Production Process in the Tuna Canning Department of “Filtuna Industries Ltd.”
IEM-B-07
Adi Itach; adiitach4@gmail.com Noam Levy; noamlevyy771@gmail.com
Advisor: Prof. Yossi Hadad
SCE - Shamoon College of Engineering, Be’er-Sheva
In today’s competitive manufacturing landscape, optimizing production efficiency is essential. This project, conducted in the Canning Department of “Filtuna Industries,” was designed to increase productivity, reduce raw material costs and minimize defect rates. Using cycle work sampling, we established standard production times, workload distribution, and machine utilization. An optimal inventory policy was developed using an EOQ model based on demand forecasts and error analysis. Quality control assessments identified defect rates and root causes, leading to targeted improvement strategies. Additionally, an economic feasibility study evaluated investments in defect-reduction equipment. Implementing these recommendations will generate significant cost savings, streamline inventory management and improve production quality and efficiency.
Keywords: bottleneck, economic analysis, efficiency, optimal inventory policy, work sampling