External Send - Sending PO by email

本文介绍如何在SAP系统中配置外部电子邮件发送功能,包括维护供应商及用户主数据中的电子邮件地址、设置支持电子邮件的通讯策略、使用标准SAP环境进行处理、设置输出类型中的外部发送介质等步骤。

In order to send PO, your Basis team must configure the system first so that external email can be send out from SAP.  If it is not configured, no settings you do on MM will work.

1. You must maintain email address in vendor master data.

2. The same applies to your user master data.  For the output type for default values, a communication strategy needs  
to be maintained in the Customizing that supports the e-mail. You can find the definition of the communication strategy in the  
Customizing via the following path: 

(SPRO -> IMG -> SAP Web Application Server -> Basic Services -> Message Control -> Define Communication Strategy). 

As a default, communication strategy CS01 is delivered. This already contains the necessary entry for the external communication. Bear in mind that without a suitable communication strategy it is not possible to communicate with a partner via Medium 5 (external sending).

3. Use the standard SAP environment (program 'SAPFM06P', FORM routine 'ENTRY_NEU' and form 'MEDRUCK') as the processing routines.

4. In the condition records for the output type (for example, Transaction MN04), use medium '5' (External send).

5. You can use Transaction SCOT to trigger the output manually. The prerequisite for a correct sending is that the node is set correctly. This is not described here, but it must have already been carried out.

6. To be able to display, for example, the e-mail in Outlook, enter PDF as the format in the node.

内容概要:本文系统介绍了算术优化算法(AOA)的基本原理、核心思想及Python实现方法,并通过图像分割的实际案例展示了其应用价值。AOA是一种基于种群的元启发式算法,其核心思想来源于四则运算,利用乘除运算进行全局勘探,加减运算进行局部开发,通过数学优化器加速函数(MOA)和数学优化概率(MOP)动态控制搜索过程,在全局探索与局部开发之间实现平衡。文章详细解析了算法的初始化、勘探与开发阶段的更新策略,并提供了完整的Python代码实现,结合Rastrigin函数进行测试验证。进一步地,以Flask框架搭建前后端分离系统,将AOA应用于图像分割任务,展示了其在实际工程中的可行性与高效性。最后,通过收敛速度、寻优精度等指标评估算法性能,并提出自适应参数调整、模型优化和并行计算等改进策略。; 适合人群:具备一定Python编程基础和优化算法基础知识的高校学生、科研人员及工程技术人员,尤其适合从事人工智能、图像处理、智能优化等领域的从业者;; 使用场景及目标:①理解元启发式算法的设计思想与实现机制;②掌握AOA在函数优化、图像分割等实际问题中的建模与求解方法;③学习如何将优化算法集成到Web系统中实现工程化应用;④为算法性能评估与改进提供实践参考; 阅读建议:建议读者结合代码逐行调试,深入理解算法流程中MOA与MOP的作用机制,尝试在不同测试函数上运行算法以观察性能差异,并可进一步扩展图像分割模块,引入更复杂的预处理或后处理技术以提升分割效果。
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