关于Process Type:Decision Between Multiple Alternatives

当我们发现每月的1号-5号要跑处理链A

6号和10号要跑处理链B

 

 

你会怎么做?

 

之前的处理是把A、B复制出来N份儿,按照Monthly调度?

 

可是呢,这样监控起来就有难度,总会被疏忽,不是自己害自己,就是害负责监控的难兄难弟

 

可如果换做Decision,事情就好办多了。

 

我是这么做的:

 

在Decision的If 中写入公式:( SUBSTRING( Current Date, 6, 2 ) >= 1) AND ( SUBSTRING( Current Date, 6, 2 ) <= 5),选择Option 1

Else If中写入公式:( SUBSTRING( Current Date, 6, 2 ) >= 6) OR ( SUBSTRING( Current Date, 6, 2 ) = 10)中选择then Option 2

Else中选择then Option 3。

 

然后呢,

把A挂在Option 1,

把B挂在Option 2,

把一个空处理挂在Option 3(我这里使用的Process Type:AND...)

 

这样,就可以方便的把这样一个处理链挂在RSPCM下面啦。~~

把这么多乱七八糟处理链,化身为一个处理链,岂不是很划算。

### Brainstorming Techniques Overview Brainstorming is a creative process used by individuals or groups to generate ideas and solve problems collaboratively. Below are some commonly utilized brainstorming techniques, each designed to encourage creativity while minimizing constraints. One effective technique involves creating mind maps where central concepts branch out into subtopics visually representing relationships between different aspects of an idea[^1]. This method helps participants visualize connections more clearly than traditional lists might allow. Another approach known as SCAMPER encourages thinking about ways existing products/services can be improved through substitution (S), combination(C), adaptation(A), modification(M), putting it to another use(P), elimination(E), reversal(R)[^2]. It challenges thinkers not only consider what could change but also explore possibilities beyond initial assumptions regarding functionality or purpose. Observation-based methods may involve executing specific observational practices aimed at gathering pertinent information directly from real-world scenarios without preconceived notions influencing interpretation outcomes significantly.[^3] Additionally,"Minimax Regret Criterion", though primarily applied within decision theory contexts rather than direct ideation processes per se still offers valuable insights when selecting among multiple options under uncertainty conditions.Choosing alternatives based upon having minimal levels associated with maximum potential losses across all possible choices ensures robustness against unfavorable results even if future states remain unknown beforehand.[^4]. ```python def brainstorm_techniques(): techniques = [ "Mind Mapping", "SCAMPER Technique", "Observational Methods", "Minimax Regret Analysis" ] return techniques print(brainstorm_techniques()) ```
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