Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,230

The DOI matches its Crossref record.

Lasting improvements in manufacturing performance: In search of a new theory

Open access
Ferdows, Kasra, De Meyer, Arnoud·1990·Journal of Operations Management

Abstract

Is there a way to avoid trading off one capability for another in manufacturing? The prevailing wisdom says no. But some manufacturers seem to have been able to defy that: compared to their competitors, they have better quality, are more dependable, respond faster to changing market conditions and in spite of all that, achieve lower costs. How can this be explained? Our aim here is to provide an explanation. We contend that the nature of the trade‐offs among manufacturing capabilities is more complex than has been assumed. Depending on the approach taken for developing each capability, the nature of the trade‐offs change. In certain cases not only can trade‐offs be avoided altogether, but in fact one capability would enhance another. They become cumulative. Moreover, when a capability is developed in this way, it is likely to be more lasting and less fragile than if it were developed at the expense of other capabilities. We go on to suggest a model which shows how this can be done: To build cumulative and lasting manufacturing capability, management attention and resources should go first toward enhancing quality, then—while the efforts to enhance quality are further expanded—attention should be paid to improve also the dependability of the production system, then—and again while efforts on the previous two are further enhanced—production flexibility (or reaction speed) should also be improved, and finally, while all these efforts are further enlarged, direct attention can be paid to cost efficiency. We use data from 1988 European Manufacturing Futures Survey (167 respondents) to test and illustrate our model. While we cannot “prove” our model, nevertheless, we believe there is enough evidence for a critical reexamination of traditional managerial approaches for improving manufacturing performance. For example, except for the cases when there are obvious slacks in the production system, the belief that costs can come down quickly and lastingly needs to be questioned. Lasting cost efficiency in production can be achieved only through improvements in other capabilities.

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 · 10.1016/0272-6963(90)90094-t

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

See all 1,230

Metadata

Authors
Ferdows, K., & De Meyer, A.
Venue
Journal of Operations Management
Publisher
Wiley
Published
1990-04
Volume
9
Issue
2
Pages
168-184
ISSN
  • 0272-6963 (ISSN-L)
  • 1873-1317
OpenAlex
W2114663259
Cited by
1,230
References
0
FWCI
11.41
Type
journal article
Language
en
Open access
green

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: Lasting improvements in manufacturing performance: In search of a new theory. https://app.cochat.ai/papers/10.1016/0272-6963(90)90094-t
The paper
Ferdows, K., & De Meyer, A. (1990). Lasting improvements in manufacturing performance: In search of a new theory. Journal of Operations Management. https://doi.org/10.1016/0272-6963(90)90094-t

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.