AI Summary & Key Takeaways
AI InsightIt has been clarified that if the developed algorithm is applied to all machines in the department, productivity and product quality will be increased by saving waste materials.
📌 3 Key Takeaways
Abstract
In today's production conditions, it is very important for companies to produce products that meet the determined quality standards. In addition to the production of semi-finished products produced in plastic injection lines with high quality and efficiency, it is aimed to reduce the lost time and waste materials in production. Since automobile headlights can be in many different colors, it is necessary to keep the product quality at a high level in the transition between colors in the production made by plastic injection and to reduce the number of defective products caused by color errors. In this study, the problem of a single row-dependent machine to reduce the amount of waste that occurs between color transitions in the plastic injection line of an automotive side-industry company producing headlights is discussed. Tabu Search method, which is one of the heuristic optimization algorithms was used to solve the problem. In the solution, production sequences that will reduce the amount of waste of the products in the production program were created by using the annual data kept by the production department of the factory. The algorithm was run using data from two machines out of 18, saving 134 kg of waste materials. It has been clarified that if the developed algorithm is applied to all machines in the department, productivity and product quality will be increased by saving waste materials.