Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,889

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Additive manufacturing and sustainability: an exploratory study of the advantages and challenges

Open access
Ford, Simon, Despeisse, Mélanie·2016·Journal of Cleaner Production

Abstract

The emergence of advanced manufacturing technologies, coupled with consumer demands for more customised products and services, are causing shifts in the scale and distribution of manufacturing. In this paper, consideration is given to the role of one such advanced manufacturing process technology: additive manufacturing. The consequences of adopting this novel production technology on industrial sustainability are not well understood and this exploratory study draws on publically available data to provide insights into the impacts of additive manufacturing on sustainability. Benefits are found to exist across the product and material life cycles through product and process redesign, improvements to material input processing, make-to-order component and product manufacturing, and closing the loop. As an immature technology, there are substantial challenges to these benefits being realised at each stage of the life cycle. This paper summarises these advantages and challenges, and discusses the implications of additive manufacturing on sustainability in terms of the sources of innovation, business models, and the configuration of value chains.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jclepro.2016.04.150

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

See all 1,889

Metadata

Authors
Ford, S., & Despeisse, M.
Venue
Journal of Cleaner Production
Publisher
Elsevier BV
Published
2016-11
Volume
137
Pages
1573-1587
ISSN
0959-6526 (ISSN-L)
OpenAlex
W2388726286
Cited by
1,889
References
3
FWCI
97.70
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Additive manufacturing and sustainability: an exploratory study of the advantages and challenges. https://app.cochat.ai/papers/10.1016/j.jclepro.2016.04.150
The paper
Ford, S., & Despeisse, M. (2016). Additive manufacturing and sustainability: an exploratory study of the advantages and challenges. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2016.04.150

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.