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This paper presents a comprehensive methodology for systematically integrating Extended Reality (XR) technologies into Value Stream Mapping (VSM) processes. The proposed framework targets enterprises that have successfully implemented VSM for waste reduction and are now considering XR technologies for further process optimization. Our research addresses the critical question: in which VSM areas will XR technology implementation bring the greatest benefits? The methodology introduces ROIm (Return on Improvement), a novel structured evaluation approach for assessing XR implementation benefits in the context of value stream improvements. This decision-making approach, based on task-technology fit theory, helps organizations prioritize implementation areas and avoid common pitfalls. Through case studies in design processes and maintenance operations, we demonstrate how ROIm enables data-driven decisions that maximize stream performance. Results indicate that XR implementations guided by ROIm can reduce lead times by 18%, reduce physical prototype from 4 to 1 per design cycle and improved machine downtime. This research bridges the gap between lean manufacturing methodologies and immersive digital technologies, providing practitioners with a structured approach to maximize synergies between VSM and XR technologies.

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Where to Use XR Technologies in a Company? A Decision-Making Approach Using the Value Stream Approach

  • 会议论文

  • 发表日期：

    2026年

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  • Wiesław Urban,
  • Klaudia Tomaszewska

摘要

This paper presents a comprehensive methodology for systematically integrating Extended Reality (XR) technologies into Value Stream Mapping (VSM) processes. The proposed framework targets enterprises that have successfully implemented VSM for waste reduction and are now considering XR technologies for further process optimization. Our research addresses the critical question: in which VSM areas will XR technology implementation bring the greatest benefits? The methodology introduces ROIm (Return on Improvement), a novel structured evaluation approach for assessing XR implementation benefits in the context of value stream improvements. This decision-making approach, based on task-technology fit theory, helps organizations prioritize implementation areas and avoid common pitfalls. Through case studies in design processes and maintenance operations, we demonstrate how ROIm enables data-driven decisions that maximize stream performance. Results indicate that XR implementations guided by ROIm can reduce lead times by 18%, reduce physical prototype from 4 to 1 per design cycle and improved machine downtime. This research bridges the gap between lean manufacturing methodologies and immersive digital technologies, providing practitioners with a structured approach to maximize synergies between VSM and XR technologies.