Abstract: This study tackles the blocking hybrid flow-shop scheduling problem (BHFSP), focusing on minimizing energy consumption. Unlike traditional problems, we consider machine standby, setup modes, ...
Abstract: Deep neural network advancements have led to significant progress in industrial applications, particularly in product recognition for smart automated vending machines (AVMs). This area has ...