Delivery Plant的决定

一张sales order的delivery plant是怎么决定的呢? 当然取决于某个主数据。其实是要取决于3种,并有优先级
首先是customer material record 然后是customer master record 最后是material master record

 

n    During item processing, the R/3 system tries to determine the relevant delivering plant automatically from the master data. The entry can be changed manually at a later date. <o:p></o:p>

n    The system proceeds in accordance with the following search strategy:<o:p></o:p>

    In the first search step, the system checks whether anything has been established in the customer-material info record.<o:p></o:p>

    In the second search step, the system checks whether anything has been established in the customer master record for the ship-to party.<o:p></o:p>

    The third search step checks whether anything has been established in the material master record.<o:p></o:p>

n    If none of the search steps are successful, no delivering plant is set in the sales document item. <o:p></o:p>

    As a rule the item can not be processed further without a plant. For example, there can be no automatic determining of the shipping point or automatic tax determination, no availability check can be carried out and no outbound delivery can be set up.<o:p></o:p>

Delivery optimization refers to the process of efficiently managing and planning the delivery of goods or services from a warehouse, distribution center, or point of origin to the end customers. It involves various strategies, techniques, and technologies to minimize costs, reduce lead times, improve customer satisfaction, and enhance overall supply chain performance. Key aspects of delivery optimization include: 1. Route planning: Determining the most efficient routes for delivery vehicles to minimize travel distance and time, taking into account traffic patterns, delivery priorities, and vehicle capacity. 2. Inventory management: Optimizing inventory levels to ensure that products are available when needed, without excessive storage costs or stockouts. 3. Warehouse operations: Streamlining warehouse processes such as picking, packing, and sorting to minimize handling time and maximize productivity. 4. Real-time tracking: Using GPS and other technologies to monitor shipments in real-time, enabling better visibility and proactive problem-solving. 5. Load balancing: Distributing packages evenly among delivery personnel or vehicles to optimize resource utilization and reduce wait times. 6. Customer experience: Implementing features like dynamic delivery windows, same-day or next-day deliveries, and accurate tracking information to enhance customer satisfaction. 7. Sustainability: Incorporating eco-friendly practices, such as electric or hybrid vehicles, to reduce carbon footprint and promote green logistics. 8. Supply chain integration: Collaborating with suppliers, carriers, and other stakeholders to synchronize data and improve coordination across the entire delivery network.
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