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An empirical study of solution search processes in complex problem-solving: the vehicle cross-beam case

机译:复杂问题解决中解决方案搜索过程的实证研究:车辆横梁案例

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摘要

A growing number of studies has focused on the activities that underlie the unfolding of knowledge-intensive problem-solving activities in new product development (NPD). However, this research relies extensively on the traditional dichotomy of problem-solving as consisting of analytical and/or directional search processes, located on opposite ends of the solution search continuum. Thus, we lack an understanding of other solution search processes used to overcome complex problems. In this paper, I address this research deficit by drawing upon an illustrative case study of engineers as problem-solvers in their attempts to develop a vehicle cross-beam. I show that problem-solvers iterate between three solution search processes to overcome technical design obstacles, namely, analytical, directional and synthesised search. The iteration between representations of solutions to problems (analytical search), the implementation of such solutions (directional search) and the subsequent evaluation of such solutions (synthesised search) provide problem-solvers with a means of reaching new frames of reference that mirror higher level learning in complex problem-solving.
机译:越来越多的研究集中在新产品开发(NPD)中开展知识密集型问题解决活动的基础上的活动。然而,这项研究广泛地依赖于传统的解决问题的二分法,该二分法由位于解决方案搜索连续体相对两端的分析和/或定向搜索过程组成。因此,我们对用于解决复杂问题的其他解决方案搜索过程缺乏了解。在本文中,我通过对工程师作为问题解决者的尝试进行案例研究来解决这一研究缺陷,他们试图开发车辆横梁。我表明问题解决者在三个解决方案搜索过程之间进行迭代,以克服技术设计的障碍,即分析,定向和综合搜索。解决问题的表示形式之间的迭代(分析搜索),此类解决方案的实施(方向性搜索)以及此类解决方案的后续评估(综合搜索),为解决问题的人员提供了一种手段,可以达到反映更高层次的新参考框架在复杂的问题解决中学习。

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