Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 217

The DOI matches its Crossref record.

Developments in holonic production planning and control

Mcfarlane, Duncan C., Bussmann, Stefan·2000·Production Planning & Control

Abstract

The field of holonic manufacturing was initiated in the early 1990s to address the upcoming challenges for manufacturing operations in the 21st century. It is intended to support highly responsive organizations by providing a modular building block or 'plug and play' capability for developing and operating a manufacturing production system. The holonic approach can be viewed as an alternative to more hierarchical operations management methods such as those based on computer- integrated manufacturing (CIM). Since 1990, an increasing amount of research has been conducted in holonic manufacturing over a diverse range of industries and applications, with a strong emphasis on how holonic systems will perform the different planning and control functions required to manage a production operation. The planning and control work to date has, however, been focussed on specific problem formulations and solution strategies. The intention of this paper is to provide an overview of the use of holonic manufacturing concepts in production planning and control which is accessible to both practitioners and researchers in the area. The aims of the paper are as follows. To define clearly what is meant by a holonic manufacturing system and to demonstrate the relevance of its development to production planning and control. To motivate holonic manufacturing based on a business rationale, demonstrating specifically how it can support improved responsiveness and the management of production complexity. To review existing work in holonic manufacturing systems relevant to production planning and control, and provide an analysis of the scope and applicability of these results.

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 · 10.1080/095372800414089

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 217

Metadata

Authors
Mcfarlane, D. C., & Bussmann, S.
Venue
Production Planning & Control
Published
2000-01
Volume
11
Issue
6
Pages
522-536
ISSN
  • 0953-7287 (ISSN-L)
  • 1366-5871
OpenAlex
W2168276732
Cited by
217
References
0
FWCI
47.78
Type
journal article
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

How to cite

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

This page
CoChat. (2026). Citation check: Developments in holonic production planning and control. https://app.cochat.ai/papers/10.1080/095372800414089
The paper
Mcfarlane, D. C., & Bussmann, S. (2000). Developments in holonic production planning and control. Production Planning & Control. https://doi.org/10.1080/095372800414089

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.