Selecting R&D projects at BMW: a case study of adopting mathematical programming models
Selecting R&D projects at BMW: a case study of adopting mathematical programming models
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选择R
DOI：
10.1109/17.913167
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
Michael Urbschat
中科院分区：
文献类型：
--
作者：
C. Loch;Michael T. Pich;C. Terwiesch;Michael Urbschat
研究与开发(R&D)项目选择是组织的产品开发战略和日常项目管理过程之间的关键接口。本文描述了宝马(德国慕尼黑)一个研发团队所面临的项目选择问题。问题的结构是根据选定的标准尽量缩小待开发技术的目标绩效与当前技术的实际绩效之间的差距。一个数学方案拟订模型帮助该组织提高了其遴选过程的透明度，这一过程以前是根据经验加上孤立地对个别项目进行评价。实施是成功的，因为发展前小组继续使用该模式来作出更好的决定。然而，该组织并没有将该模型用于其预期目的：受限优化。对这种部分实施的传统解释是，分析模型没有涵盖与优化有关的所有考虑因素(例如不确定性或战略契合性)，需要进一步改进模型才能进一步实施。我们提供了另一种解释，一种基于技术转移文献的解释。
Research and development (R&D) project selection is a critical interface between the product development strategy of an organization and the process of managing projects day-to-day. This article describes the project selection problem faced by an R&D group of BMW (Munich, Germany). The problem was structured as minimizing the gap between target performance of the technology to be developed and actual performance of the current technology along chosen criteria. A mathematical programming model helped this organization to increase the transparency of their selection process, which previously had been based on experience coupled with evaluation of individual projects in isolation. Implementation was a success in that the predevelopment group continues to use the model to make better decisions. However, the organization did not use the model for its intended purpose: constrained optimization. The traditional explanation for this partial implementation is that the analytical model did not capture all considerations relevant to optimization (e.g., uncertainty or strategic fit), and that further model refinements are required to achieve further implementation. We offer an alternative explanation, one based on the technology transfer literature.