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January 17, 2026Systems0 citationsOpen Access

Optimizing Calibration Processes in Automotive Component Manufacturing

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JKJana KaraskovaASAleš SlívaMRM. Ramasamy

Key Points

  • The aim is to improve the calibration process of inertial measurement units in automotive manufacturing to enhance efficiency and productivity.
  • Redesign of the production calibration workstation using time-and-motion analysis.
  • Conduct operator observations to identify waste and inefficiencies.
  • Implement structured root-cause analysis using Ishikawa diagram and five whys.
  • Introduce three key interventions for improved handling and workstation layout.
  • Total cycle time reduced from 4475 seconds to 1230 seconds, a 72% decrease.
  • Weekly output increased from 800 to 4500 units without adding staff.
  • Overall equipment efficiency improved from 75.3% to 85.2%.
  • Quality rate remained stable at 98.8%.

Abstract

High-precision calibration of inertial measurement units for automotive safety systems combines fixed automated chamber cycles with semi-manual loading, alignment, and transfer. Motion waste and ergonomic constraints can therefore dominate throughput and cycle time stability. This study redesigns a production calibration workstation using time-and-motion analysis, operator observation, and structured root-cause analysis based on the Ishikawa diagram and the five whys. Three interventions were implemented and validated with pre- and post-measurements: bundled handling that consolidates full-set transfers and reduces non-value-adding motions; a fixture and material handling redesign with a manual lifting aid to reduce physical load and enable reliable single-operator operation; and a modular workstation layout that supports the phased addition of chambers. Total cycle time decreased from 4475 s to 1230 s, a 72 percent reduction, and weekly output rose from 800 to 4500 units without additional staffing or significant automation investment. Overall equipment efficiency improved from 75.3 percent to 85.2 percent, while the quality rate remained at 98.8 percent.

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Cite This Study

Karaskova et al. (2026) studied this question.

synapsesocial.com/papers/696b2616d2a12237a93495e4https://doi.org/10.3390/systems14010092
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