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Quality Function Deployment (QFD) for human-robot collaboration (HRC): Systematic selection of key performance indicators in HRC

Muyang Lv, Isabella Xiao, Christian Mentenich, Ziwei Jia, Nan Xie, Weimin Zhang, Lucas Bretz

发表年份
2024
引用次数
2

摘要

Human-Robot Collaboration (HRC) has received significant attention in research, yet the assessment of successful implementations remains challenging. Reasons for the limited spread of HRC include technological limitations, safety concerns, lack of standardization, potential workforce resistance, regulatory issues, and the complexity of human tasks. Lacking standardized measurement criteria, coupled with a lack of systematic evaluation approaches, make it difficult to thoroughly assess the deployment of HRC scenarios. To address these limitations and facilitate management decisions, this paper introduces a decision-making framework. The framework focuses on the evaluation and ranking of potential HRC-key performance indicators (KPIs), by using Quality Function Deployment (QFD). By integrating the identified KPIs with the requirements of process owners, the framework aims to enhance the systematic assessment of HRC implementations, providing valuable insights for continuous improvement initiatives.

关键词

Quality function deploymentKey (lock)Selection (genetic algorithm)Function (biology)Software deploymentSystems engineeringEngineeringQuality (philosophy)Computer sciencePerformance indicator

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