Seda Cristofer Hutabarat Primary Author Paramita Putri Dharma Primary Author Nursery Alfaridi S. Nasution Primary Author Doddy Himawan Primary Author

Customers receive labor-intensive services from warehouses. High expenses and unmet consumer demand may arise from underperformance. According to new market trends, warehouses must process a large amount of orders in a short amount of time. Order picking methods must be adjusted to deal with this by addressing a wide range of planning concerns. Order picking planning issues that are solved in a sequential manner may result in a decrease in overall warehouse activities. Order-picking consumes the most time in warehouse. This action requires more travelling time, looking for certain commodities, and then proceeding to other operations, and it occupies more than 50% of warehouse activities. In central warehouses and material distribution centers, automated modular conveyor systems are frequently implemented to deliver high throughput and smooth logistics operations while keeping flexible and efficient. The goal of this research is to show how a system may increase efficiency in the order-picking portion. This is a technology that can assist humans in reducing the amount of time they spend traveling and the labor costs they spend. Business Process Reengineering provides for the assessment of the risk associated with redesigning certain business process stages. It serves as the foundation for a process-oriented decision support system with the objective of consistently assessing and improving business processes.