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Book of Abstracts | 2025 Streamlining and Improving Production Processes at the “Creative Games” Factory
IEM-C-29
Ester Ginzburg; esti.g.bn2002@gmail.com Sivana Mashilker; sivana159753@gmail.com
Advisor: Dr. Alisa Voslinsky
SCE - Shamoon College of Engineering, Ashdod
This final project focuses on streamlining and improving production processes at the “Creative Games” factory. The primary issue identified was the lack of documentation during production, which is being done manually, rather than digitally, leading to problems such as inventory shortages, human error and the inability to track raw materials in real-time. Our project goal is to optimize and enhance the factory’s production processes by, among other things, reducing the employees’ workloads, computerizing the process (thus making it more accurate) and implementing inventory control. To find the best solutions, this project proposes the use of tools such as: Pareto analysis, demand forecasting, work process digitization, inventory management optimization, and the use of simulations.
Keywords: forecasting, inventory management, Pareto analysis, simulations, work process computerization
Optimization of Supply Chain Processes at the Production Facility of Ilanco Metal Industries
IEM-C-30
Moshe Aderajo Damtao; damtao81@gmail.com Ehud Motai; ehudmotai253@gmail.com
Advisor: Dr. Alisa Voslinsky
SCE - Shamoon College of Engineering, Ashdod
The project focused on optimizing production and supply processes at Ilanco Metal Industries Ltd. The goal was to identify bottlenecks, improve efficiency, and explore technological and economic solutions. Analyzing historical production data, including MTBF and MTTR calculations, revealed recurring failures. Arena simulations identified the bottlenecks and optimized those processes, resulting in reduced waiting times at workstations, improved output and shorter delivery times. This, in turn, led to lower operational costs and enhanced the company’s ability to manage demand fluctuations while maintaining high service levels.
Keywords: bottleneck, engineering reliability, scheduling, simulations, standard time, supply chain, work study
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