Evidence map›Paper›PMID 42156801›Full record

ArticleScientific reports2026

From blur to blueprint: a fuzzy delphi methodology for evaluating early-stage emerging technologies-the case of end-of-life automotive traction battery disassembly.

Max Rettenmeier, Mauritz Möller, Alexander Sauer

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Max RettenmeierGraduate School of Excellence advanced Manufacturing Engineering (GSaME), University of Stuttgart, Nobelstraße 12, 70569, Stuttgart, Germany. Max.Rettenmeier@gsame.uni-stuttgart.de.
Mauritz MöllerTRUMPF Laser- und Systemtechnik SE, Johann-Maus-Straße 2, 71254, Ditzingen, Germany.
Alexander SauerGraduate School of Excellence advanced Manufacturing Engineering (GSaME), University of Stuttgart, Nobelstraße 12, 70569, Stuttgart, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recycling end-of-life automotive traction batteries is paramount in reducing greenhouse gas emissions and mitigating supply chain dependencies associated with critical raw materials utilized in producing electric vehicle batteries. Deploying disassembly technologies represents a crucial step in the pretreatment process, enhancing the recycling process's sustainability and profitability. This study evaluates disassembly technologies based on a multi-stage expert-driven research approach. We present a systematic stakeholder identification and analysis for the disassembly process step, resulting in the 14 relevant stakeholders. 65 expert interviews were then conducted with the relevant stakeholders and yielded a corpus of 16 evaluation criteria. Each criterion underwent a delphi evaluation process with 13 experts to ascertain its relative importance. Ultimately, another delphi panel was utilized to evaluate each disassembly technology conjunction with all identified criteria. To address potential uncertainties, the fuzzy delphi method was employed, resulting in two rounds until a consensus was achieved. Laser cutting and shredding emerged as particularly promising technological approaches, recommended for consideration by industrial stakeholders in the expansion of their facilities and by policymakers in the formulation of their regulatory environment. The developed methodological approach aims to systematically evaluate early-stage emerging technologies and has been validated by the given use case.

Indexed as

Automotive batteryDisassemblyDismantlingEnd-of-life batteryFuzzy delphiTechnology evaluation

Identifiers

PMID42156801
PMCPMC13187476

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.