Knowledge‐based benchmarking of production performance

Knowledge‐based benchmarking of production performance Purpose – Recently, benchmarking has become a common approach to optimize production processes by comparing certain aspects of a company with its competitors. However, one of the biggest challenges is not only to define suitable benchmarking topics and partners, to gather and statistically evaluate characteristic data, but to derive concrete measures to interpret the results, i.e. to overcome the revealed weaknesses. The purpose of this paper is to present an already implemented and successfully used functional benchmarking methodology for production performance of small and medium batch size processes, that is currently extended by using a knowledge base for reasoning strategies to semi‐automatically support the interpretation of the extracted statistical data. Design/methodology/approach – A comprehensive approach is presented to develop a new model for the evaluation of a small to medium‐sized enterprise's production performance using an existing European database called BETT Benchmark. Findings – The knowledge‐based concept enables sophisticated interpretation strategies to be used on an already existing base of real company data. The decisive point of the approach presented is to map production variables on room for improvement by taking varying parameters into account. Originality/value – The proposed tool is a valuable tool that takes advantage of a statistically firmed analysis of a substantial database and combines it with the comprehensive expertise of experienced specialists in the field of performance assessment. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Benchmarking: An International Journal Emerald Publishing

Knowledge‐based benchmarking of production performance

Benchmarking: An International Journal, Volume 13 (1/2): 10 – Jan 1, 2006

Loading next page...
 
/lp/emerald-publishing/knowledge-based-benchmarking-of-production-performance-BkXfAj8w21
Publisher
Emerald Publishing
Copyright
Copyright © 2006 Emerald Group Publishing Limited. All rights reserved.
ISSN
1463-5771
DOI
10.1108/14635770610644673
Publisher site
See Article on Publisher Site

Abstract

Purpose – Recently, benchmarking has become a common approach to optimize production processes by comparing certain aspects of a company with its competitors. However, one of the biggest challenges is not only to define suitable benchmarking topics and partners, to gather and statistically evaluate characteristic data, but to derive concrete measures to interpret the results, i.e. to overcome the revealed weaknesses. The purpose of this paper is to present an already implemented and successfully used functional benchmarking methodology for production performance of small and medium batch size processes, that is currently extended by using a knowledge base for reasoning strategies to semi‐automatically support the interpretation of the extracted statistical data. Design/methodology/approach – A comprehensive approach is presented to develop a new model for the evaluation of a small to medium‐sized enterprise's production performance using an existing European database called BETT Benchmark. Findings – The knowledge‐based concept enables sophisticated interpretation strategies to be used on an already existing base of real company data. The decisive point of the approach presented is to map production variables on room for improvement by taking varying parameters into account. Originality/value – The proposed tool is a valuable tool that takes advantage of a statistically firmed analysis of a substantial database and combines it with the comprehensive expertise of experienced specialists in the field of performance assessment.

Journal

Benchmarking: An International JournalEmerald Publishing

Published: Jan 1, 2006

Keywords: Benchmarking; Performance measures; Knowledge management; Continuous improvement

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off