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Validation of an Innovation Mining Framework

机译:验证创新采矿框架

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摘要

The driving hypothesis of this thesis is that a quantitative approach linking business objectives of an organization with technological limitations of the physical product would enable industry to create more innovative products. The main goal of this research is to validate the applicability and reliability of the innovation mining framework developed by Peyyeti (2016) to identify innovation opportunities and components worth innovating in a product. In this work, the innovation mining framework is applied with minor modifications to a mechanical pencil, innovation scenarios were then compared to existing innovations in mechanical pencils. Based on the success of the feasibility trial, the innovation mining framework was applied to a Dirt-Devil vacuum and compared to innovations implemented in the Dyson-V6 vacuum to improve a set of chosen value-metrics. Based on this study, the following insights were developed: (1) The model sufficiently identified several innovation opportunities to improve each value-metric (2) Varying weighting schemes do not have significant effects on filtered data (3) The top-half of the dendrogram contains the most relevant clusters that present viable innovation opportunities (4) The relevant clusters must be viewed from a systems thinking perspective as a single chain that must be innovated for the most benefit (5) Implementing this model provokes systems thinking approach in the user. This gives a substantial advantage over intuitive and qualitative approaches by providing insights on hidden relationships and identifying innovation opportunities in a system that may otherwise be ignored or unexplored. Opportunities for future-work include developing a transfer-function system representing true relationships, performing SVD at every level of the coupling matrices to gain insights into the nature of transformation and cluster formation, comparing clusters obtained to failure-modes associated with the corresponding value-metric for systematic prioritization and comparing dendrogram clusters with function-structure map to get detailed insights on clusters and their interactions.
机译:本文的假设是,将组织的业务目标与物理产品的技术局限性联系起来的定量方法将使行业能够创造更多的创新产品。这项研究的主要目标是验证Peyyeti(2016)开发的创新挖掘框架的适用性和可靠性,以确定产品中值得创新的创新机会和组件。在这项工作中,将创新挖掘框架应用到自动铅笔上进行了少量修改,然后将创新方案与自动铅笔中的现有创新进行了比较。基于可行性试验的成功,将创新挖掘框架应用于Dirt-Devil真空吸尘器,并与Dyson-V6真空吸尘器中实施的创新进行了比较,以改进一组选定的价值指标。基于这项研究,得出了以下见解:(1)该模型充分确定了几个创新机会,可以提高每个价值指标(2)各种加权方案对过滤的数据没有显着影响(3)上半部分树状图包含了提供可行创新机会的最相关的集群(4)必须从系统思维的角度将相关的集群视为必须进行创新才能获得最大收益的单个链(5)实施此模型会激发用户的系统思维方法。通过提供对隐藏关系的洞察力并确定系统中可能被忽略或未开发的创新机会,与直观和定性方法相比,这具有显着优势。未来工作的机会包括开发表示真实关系的传递函数系统,在耦合矩阵的每个级别执行SVD以深入了解转换和集群形成的性质,将获得的集群与与相应价值相关联的故障模式进行比较。系统优先级的度量标准,并将树状图聚类与功能结构图进行比较,以获得有关聚类及其相互作用的详细见解。

著录项

  • 作者

    Subramani, Karthikeyan.;

  • 作者单位

    Rochester Institute of Technology.;

  • 授予单位 Rochester Institute of Technology.;
  • 学科 Industrial engineering.;Mechanical engineering.;Engineering.
  • 学位 M.S.
  • 年度 2018
  • 页码 106 p.
  • 总页数 106
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 公共建筑;
  • 关键词

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