Brainstorming sucks?

本文探讨了脑力激荡这一普遍使用的创意激发方法的有效性。研究表明,与个人独立思考相比,团队脑力激荡产生的创意数量和质量往往较低。文章还提到,有时候团队讨论会导致糟糕的想法污染并限制其他人的创造性思维。

When I was in business shcool, brainingstorming is such a popular tool to start every project or even every meeting. Yet now here comes a Wall Street Journal article saying that brainstorming isn't really as effective as people believe it to be according to recent psychology study. A bit excerpt:

 

The popularity of brainstorming results in part from corporate America's knee-jerk faith in teams. In fact, the father of brainstorming, advertising executive Alex Osborn, advocated using people to storm a corporate problem "in commando fashion." And let yourself be labeled a "nonteam player," and you might as well start your own one-person consultancy.

But teams aren't necessarily so great. "There are so many things people do in management because they think it's good, but there's no evidence for it," says Paul B. Paulus, a professor of psychology at the University of Texas at Arlington. "Teamwork is one example. Brainstorming is another." Prof. Paulus conducted research on the number and quality of ideas of four people brainstorming together versus four people brainstorming by themselves. Typically, group brainstormers perform at about half the level they would if they brainstormed alone....

David Perkins, a professor at the Harvard Graduate School of Education, warns that sometimes group sessions can result in one person's bad idea tainting and limiting the range of others' ideas. "The best way to get good ideas is to get people to write them down privately and then bring them in," he says. You want group diversity but no more than five to seven people or you risk ending up with "coblabberation."

内容概要:本文介绍了一个基于Matlab的综合能源系统优化调度仿真资源,重点实现了含光热电站、有机朗肯循环(ORC)和电含光热电站、有机有机朗肯循环、P2G的综合能源优化调度(Matlab代码实现)转气(P2G)技术的冷、热、电多能互补系统的优化调度模型。该模型充分考虑多种能源形式的协同转换与利用,通过Matlab代码构建系统架构、设定约束条件并求解优化目标,旨在提升综合能源系统的运行效率与经济性,同时兼顾灵活性供需不确定性下的储能优化配置问题。文中还提到了相关仿真技术支持,如YALMIP工具包的应用,适用于复杂能源系统的建模与求解。; 适合人群:具备一定Matlab编程基础和能源系统背景知识的科研人员、研究生及工程技术人员,尤其适合从事综合能源系统、可再生能源利用、电力系统优化等方向的研究者。; 使用场景及目标:①研究含光热、ORC和P2G的多能系统协调调度机制;②开展考虑不确定性的储能优化配置与经济调度仿真;③学习Matlab在能源系统优化中的建模与求解方法,复现高水平论文(如EI期刊)中的算法案例。; 阅读建议:建议读者结合文档提供的网盘资源,下载完整代码和案例文件,按照目录顺序逐步学习,重点关注模型构建逻辑、约束设置与求解器调用方式,并通过修改参数进行仿真实验,加深对综合能源系统优化调度的理解。
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