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A computerised model to enhance the cost-effectiveness of production and maintenance dynamic decisions: A case study at Fiat
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering. (Systemekonomi)
Linnaeus University, Faculty of Technology, Department of Forestry and Wood Technology. LNU.
2013 (English)In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 19, no 2, 114-127 p.Article in journal (Refereed) Published
Abstract [en]

Purpose:

– To develop and test a model and software-based support system for better understanding

of the interactions between man-machine-maintenance-economy (MMME), and enable cost-effective decisions.

Design/methodology/approach:

– The study is based on published knowledge and experience within maintenance, maintenance organization and production, and a case study.

Findings:

– Development of a model describing interactions between man-machine-maintenance-economy interactions and MMME software module. MMME test shows its ability to identify, quantify, assess and follow up losses in production time which is necessary when planning effective maintenance actions.

Research limitations/implications:

– In the paper the focus is to quantify production time losses in order to identify the root causes of the problem. The case study is performed at a manufacturing plant for truck engines.

Practical implications:

– A systematic approach of how to quantify and evaluate losses in production time in order to identify problems and problem areas within the production. This approach is discussed and motivated with the aim of achieving more cost-effective decisions in maintenance.

Originality/value:

– The model and software application developed enables a structured way of analyzing production time losses in order to find cost-effective solutions to the problems. The model is very flexible enabling it to be customized for a wide spectrum of branches.

 

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2013. Vol. 19, no 2, 114-127 p.
Keyword [en]
Manufacturing systems, Decision making, Decision support systems, Maintenance
National Category
Mechanical Engineering
Research subject
Technology (byts ev till Engineering), Terotechnology
Identifiers
URN: urn:nbn:se:lnu:diva-26050DOI: 10.1108/13552511311315931Scopus ID: 2-s2.0-84893035925OAI: oai:DiVA.org:lnu-26050DiVA: diva2:625121
Available from: 2013-06-04 Created: 2013-06-04 Last updated: 2017-12-06Bibliographically approved

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Al-Najjar, Basim

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Citation style
  • apa
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Language
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Output format
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