| dc.description.abstract | Efficiently operating the rework station is vital in ensuring the quality of tires in
manufacturing plants. However, optimizing its performance poses a complex challenge due
to the intricate relationship between the duration of operations and the number of machines
used. This research aims to address this issue by introducing a new approach to enhance
the efficiency of rework station operations. The main objective is to minimize the duration
of operations, thereby reducing the time required for rework activities, while also
optimizing the allocation of machines to achieve this goal. Through a thorough analysis of
the workflow at the rework station and the application of advanced optimization
techniques, this study seeks to provide valuable insights for tire manufacturing plants to
streamline their rework processes. Utilizing a Mixed-Integer Linear Programming (MILP)
technique and harnessing the capabilities of CPLEX optimization software, this
investigation seeks to create an all-encompassing framework that takes into account
sequence-dependent setup times and job completion times. By optimizing both the
makespan and machine utilization, manufacturing facilities can anticipate heightened
productivity, decreased operational expenses, and the ability to deliver superior-quality
products in order to meet market demands. The outcomes of this study contribute to the
advancement of rework station optimization in tire manufacturing and offer valuable
guidance to industry schedulers for enhancing their production processes. | en_US |
