Knowledge building and concurrent engineering in manufacturing automation

F. Dubinskas
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Abstract

Summary form only given, as follows. The author addresses modeling of the knowledge-building and project management processes in an advanced concurrent engineering project in manufacturing automation. The present work is based on 18 months of intensive field research in a US plant and with its Japanese equipment vendor. This research examined unfolding changes in core automation team integration, the partnership with the Japanese vendor, and overall project performance. A dual model is proposed for opposing styles of knowledge management: The first type is a constricting, funnel model, with early variety reduction and tight, staged control. This model fits a traditional Taylorist paradigm for division of labor and control of knowledge. The second type is a more chaotic fermentation vat model, characterized by continuous idea generation, tolerance for ambiguity, and emergent specification of details. These extremes (or Weberian ideal types) anchor the ends of a continuum of actual practice. The field data show the relevance of the dual model for conceptualizing a field of possibility against which a shift in the practical approach to managing knowledge resources occurs during the course of the project.<>
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制造自动化中的知识构建和并行工程
仅给出摘要形式,如下。作者在一个先进的制造自动化并行工程项目中讨论了知识建设和项目管理过程的建模。目前的工作是基于在一家美国工厂及其日本设备供应商进行的18个月的深入实地研究。这项研究检查了核心自动化团队集成、与日本供应商的伙伴关系以及整个项目绩效中的展开变化。针对不同类型的知识管理,本文提出了一种双重模型:第一种是收缩型漏斗模型,即早期品种减少和严格的阶段性控制。这个模型符合传统的泰勒主义的劳动分工和知识控制范式。第二种类型是更混乱的发酵桶模型,其特点是连续的想法产生,对模糊性的容忍,以及对细节的紧急规范。这些极端(或韦伯的理想类型)锚定了实际实践连续体的两端。现场数据显示了概念化可能性领域的双重模型的相关性,在项目过程中,管理知识资源的实际方法发生了转变。
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Defining the modernization capabilities of the small and medium-sized businesses Knowledge building and concurrent engineering in manufacturing automation Measuring project progress by work sampling An empirical investigation of the relationship between science, technology, and total factor productivity growth rate Strategic technology planning-developing roadmaps for competitive advantage
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