Ergonomic Analysis of Warehouse Work Using Scalefit
Synopsis
Warehouse work often involves frequent handling, awkward postures, and repetitive actions that can raise long-term risk for back, neck, and shoulder pain. This matters more in a longevity society, where firms need safe work design that supports work ability across the whole workforce. This paper presents a practical workflow that links wearable full-body motion capture (Xsens) with Scalefit reports to assess physical load in real warehouse conditions. We record a worker during normal work and split the recording into work blocks that match how the job actually runs. The system then produces Excel-based outputs that summarize posture and movement over time, highlight peak-load moments, and flag body regions with higher strain. We use the outputs to rank work blocks by risk, compare work done with different load demands, and point to changes that an employer can act on (layout, shelf height, load limits, tools, and work rotation). The main contribution is a repeatable, on-site method that turns sensor data into clear ergonomics findings that support safer work design and longer working lives.
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- Economics
- Logistics
- Mathematics
- Entrepreneurship
- Bussiness
- Computer Science and Informatics
- Sociology
- Mechanical Engineering
- Tourism
- Organizational Sciences
- Criminal Justice and Security
- Ecology
- Educational sciences
- Health Sciences
- 2026
- Conference proceedings
- Open Access
- University of Maribor, Faculty of Organizational Sciences
- Slovene language
- English language
- Multilingual






