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Linking Energy Management and Optical Calibration Quality for Sustainable Automotive Electronics Manufacturing: An IMES Case Study of Rain and Light Sensors

Sustainable manufacturing requires managing energy efficiency and product quality jointly, yet automotive electronics plants typically handle them separately, despite sharing the same monitoring infrastructure.

By Chivu, Dubic, IACOB +4Sustainability

Score████░░░░░░4.5

Key numbers

  • 0.84% and
  • 25% per unit

VerdictWorth a reader's time today.

Read the original

Abstract

Sustainable manufacturing requires managing energy efficiency and product quality jointly, yet automotive electronics plants typically handle them separately, despite sharing the same monitoring infrastructure. This case study examines a Volkswagen MQB-platform line producing headlight switching modules and windshield rain/light sensors (RLS), assessing the energy-saving potential of an Industrial Energy Management System (IMES) and RLS optical calibration as a source of avoidable retests and rejections. The energy assessment combined process analysis, published evidence and ISO 50001 requirements, without metering; the metrological assessment used calibration-bench data, automated test logs and end-of-line (EOL) records. Raising the correction factor from 0.02 to 0.03 increased the signal in all ten paired repetitions (+0.84% and +1.03%; paired t-test, p < 0.001) and reduced out-of-range Channel A readings from seven to one; linearity was not assessed. Test records without alerts accounted for 87.4–98.2%. All eight EOL units passed, yet positional deviations reached ±38.5 against a ±1.0 tolerance, warranting specification review. IMES adoption is projected, from the literature, to reduce energy consumption by 15–25% per unit. An energy-per-conforming-unit indicator links both: fewer false alerts, retests and rejections lower the energy, material and emission footprint of each sensor, supporting resource-efficient, low-carbon production (SDGs 9, 12 and 13).

Oana Roxana Chivu, Demetrius Dubic, Andrei Ștefan IACOB, I. Enache, Marilena Gheorghe, Edward Petzek, Anamaria Ioana Feier

The editor's rubric

Heuristic review

Leverage3 / 5
A method or resource many groups across the field will adopt within a year.
16% of this desk’s rubric
Magnitude3 / 5
Large gain: roughly 2x, or a clear new state of the art on a hard, unsaturated problem.
20% of this desk’s rubric
Evidence3 / 5
Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.
20% of this desk’s rubric
Novelty2 / 5
A new combination of known ideas.
10% of this desk’s rubric
Trajectory3 / 5
A clear path to scale.
14% of this desk’s rubric
Stakes3 / 5
Meaningful benefit to many people within a few years.
20% of this desk’s rubric

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: breadth (programmable); gains (relative gain); verification (p-value, error bars); scale (efficient); stakes (energy, climate).

How the score was computed

rank-2026-10-18

Score████░░░░░░4.5

Score = 10 × (75% × adjusted merit / 10 + 15% × attention + 10% × freshness)

Desks place stronger verdicts first, then use this score to order work within the same verdict.

Merit
5.8 / 10
Weighted rubric, evidence-gated.
Adjusted merit
4.8 / 10
Shrunk toward the desk prior by editor confidence (44%).
Attention
0%
Citations, upvotes, points, mentions.
Freshness
85%
Half-life decay since publication.
  • Citations0 (reference 15, via openalex, Nov 1, 2026, 07:30 UTC)

The record

  • Reviewed by heuristic-v10 on Nov 1, 2026, 07:29 UTC. Paper type: empirical.
  • Categories: Energy Efficiency and Management, Quality and Management Systems, Digital Transformation in Industry, Renewable Energy, Sustainability and the Environment, Energy
  • TOP, No.6 in the Front page edition of November 1, 2026.
  • TOP, No.1 in the Climate & Energy edition of November 1, 2026.