@article{article_923838, title={Scheduling Optimization in Automotive Supplier Industry under Sequence Dependent Constraints}, journal={Academic Platform - Journal of Engineering and Science}, volume={9}, pages={378–387}, year={2021}, DOI={10.21541/apjes.923838}, author={Mohamedsalih, Muhammed and Şimşir, Fuat}, keywords={sequence dependent setup time, single machine scheduling, Tabu Search}, abstract={In today’s production conditions, it is very important for companies to produce products that meet the determined quality <br />standards. In addition to the production of semi-finished products produced in plastic injection lines with high quality and <br />efficiency, it is aimed to reduce the lost time and waste materials in production. Since automobile headlights can be in many <br />different colors, it is necessary to keep the product quality at a high level in the transition between colors in the production made <br />by plastic injection and to reduce the number of defective products caused by color errors. In this study, the problem of a single <br />row-dependent machine to reduce the amount of waste that occurs between color transitions in the plastic injection line of an <br />automotive side-industry company producing headlights is discussed. Tabu Search method, which is one of the heuristic <br />optimization algorithms was used to solve the problem. In the solution, production sequences that will reduce the amount of <br />waste of the products in the production program were created by using the annual data kept by the production department of the <br />factory. The algorithm was run using data from two machines out of 18, saving 134 kg of waste materials. It has been clarified <br />that if the developed algorithm is applied to all machines in the department, productivity and product quality will be increased <br />by saving waste materials.}, number={2}, publisher={Akademik Perspektif Derneği}