As an experienced copy editor, I understand the importance of creating content that not only informs readers but also boosts visibility online through search engine optimization (SEO). That`s why I`ve put together this article on “table for scheduling agreement in SAP,” which will provide valuable insights for those who work with this popular enterprise resource planning (ERP) system.
First, let`s define what a scheduling agreement is in SAP. A scheduling agreement, also known as a delivery schedule, is a contract between a buyer and supplier that outlines the details of future deliveries over a specific period. It typically includes the delivery dates, quantities, and pricing for goods or services.
Now, let`s discuss the table for scheduling agreement in SAP. The primary database table for storing scheduling agreements in SAP is the EKET table. This table contains information on each line item of a scheduling agreement, such as the delivery schedule and the purchase order number.
In addition to the EKET table, there are several other tables in SAP that are related to scheduling agreements, including:
– EKES: This table stores service line items for scheduling agreements.
– EKEK: This table contains information about the scheduling agreement releases, which are the actual deliveries that occur.
– EKPA: This table is used to store partner data, such as the supplier`s name and address, for scheduling agreements.
– EKKO: This table contains information on the header data of a purchasing document, such as the order date and total order value.
When working with scheduling agreements in SAP, it`s important to understand how to use these tables to access and analyze the data you need. This can help you to make informed decisions about future deliveries and ensure that you have the resources and timelines in place to meet your obligations.
In summary, the EKET table is the primary database table for scheduling agreements in SAP, but there are several other related tables that contain valuable information. By understanding how to access and analyze this data, you can effectively manage scheduling agreements and ensure that your organization meets its delivery obligations.