Yapay Zeka Hızlı Bakış & Çıkarımlar
AI InsightIn this context, product flow types in warehouses, classification of order picking systems, storage assignments decisions, routing methods, order batching, and zoning policies are investigated
📌 3 Maddede Bu Makale
Özet
components to assembly operations) and distribution operations (meeting customer demands). Trends in customer orders reveal that customer orders are transformed from few-and-large orders to many-and-small ones. On the other hand, lead times of customer orders get consistently shorter. Because of these changes, companies need to adopt an effective and flexible order picking system in order to remain competitive in the market. Order picking, as a labor intensive activity, deeply affects both overall logistic operations and service level provided to customers. Additionally, order picking process constitutes more than half of the total warehousing cost. For these reasons, it is crucial for companies to design and perform an effective order picking process. In recent years, planning the order picking systems that minimize the travel time or the travel distance, considering the specific constraints and parameters, has become the basis for many studies. In this study, critical factors that play role in design and control of order picking process is reviewed comprehensively to aid decision makers in constituting the optimal order picking system in warehouse management. In this context, product flow types in warehouses, classification of order picking systems, storage assignments decisions, routing methods, order batching, and zoning policies are investigated
Abstract
Order picking activities play a critical role in supply chain management in terms of both production systems (supplying components to assembly operations) and distribution operations (meeting customer demands). Trends in customer orders reveal that customer orders are transformed from few-and-large orders to many-and-small ones. On the other hand, lead times of customer orders get consistently shorter. Because of these changes, companies need to adopt an effective and flexible order picking system in order to remain competitive in the market. Order picking, as a labor intensive activity, deeply affects both overall logistic operations and service level provided to customers. Additionally, order picking process constitutes more than half of the total warehousing cost. For these reasons, it is crucial for companies to design and perform an effective order picking process. In recent years, planning the order picking systems that minimize the travel time or the travel distance, considering the specific constraints and parameters, has become the basis for many studies. In this study, critical factors that play role in design and control of order picking process is reviewed comprehensively to aid decision makers in constituting the optimal order picking system in warehouse management. In this context, product flow types in warehouses, classification of order picking systems, storage assignments decisions, routing methods, order batching, and zoning policies are investigated.