Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 283

The DOI matches its Crossref record.

A Stitch In Time: Lean Retailing and the Transformation of Manufacturing –Lessons From The Apparel and Textile Industries

Abernathy, Frederick H, Dunlop, John T, Hammond, Janice H, Weil, David·1999

Abstract

The textile and fashion industries have forever been at the mercy of rapidly changing styles and fickle customers who want the latest designs while they are still fashionable. The result for these businesses, often forced to forecast sales and deal with suppliers based on volatile demand, is a history of stock shortages, or costly markdowns. But, as the authors disclose in A Stitch in Time, technological advances that began in the 1980s introduced a new concept in retailing—lean retailing. Pioneered by entrepreneurs such as Sam Walton and WAL-MART and made possible by new information technologies for tracking sales data, lean retailing has enabled apparel producers to reorganize the manner in which they related to retail customers, undertook distribution, forecasted and planned production, and managed supplier relations. In an industry that typically suffered from great delays from warehouse to rack, sales data was now captured at the retailer’s checkout through bar coding and immediately transmitted back to distributors, manufacturers, designers, and even to the textile mills that weave the cloth. Armed with up-to-the-minute data about colors, sizes, and geographic sales, everyone in the chain was able to reduce cost, increase efficiency, and keep the customer in style like never before. And today, the broad changes introduced in the apparal industry by lean retailing are rippling through a growing segment of the American economy. A richly detailed and resonant account, A Stitch in Time brilliantly captures both the history and the future of the fashion industry as it offers executives a new paradigm for understanding the challenges of retailing and manufacturing in all segments of our rapidly transforming economy.

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 · 10.1093/oso/9780195126150.001.0001

Cites

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

Cited by

Metadata

Authors
Abernathy, F. H., Dunlop, J. T., Hammond, J. H., & Weil, D.
Published
1999-07-29
OpenAlex
W4388378101
Cited by
283
References
0
FWCI
9.41
Type
book
Language
en
Open access
closed

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

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.