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Optimal Maintenance Resources Allocation Using Automated Simulation-based Optimisation and Data Management
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Engineering Science. (Simulation-Based Optimization)ORCID iD: 0000-0003-0111-1776
Chalmers University of Technology, Gothenburg, Sweden. (Product and Production Development)ORCID iD: 0000-0001-8519-0736
Volvo Car Corporation, Gothenburg, Sweden.
2015 (English)In: Simulation in Production and Logistics 2015 / [ed] Markus Rabe, Uwe Clausen, Stuttgart: Fraunhofer IRB Verlag, 2015, p. 437-446Conference paper, Published paper (Refereed)
Abstract [en]

This paper introduces a Streamlined Modelling and Decision Support (StreaMod) approach in which input data management, simulation model generation/update and simulation-based optimisation are synergistically integrated into a largely automated process. The aim of this automated process is to support decision making related to the optimal maintenance resources allocation that could improve the performance of production/logistics systems. The basic novelty of the StreaMod optimisation methodology lies on the formulation of an optimal maintenance allocation problem of a production/logistic system into a bi-objective optimisation problem, so that optimal resources/changes to improve the throughput of the system can be sought in a single optimisation run. The successful application of this methodology in a real-world automotive factory will also be addressed in this paper.

Place, publisher, year, edition, pages
Stuttgart: Fraunhofer IRB Verlag, 2015. p. 437-446
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Technology; Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-11718ISBN: 9783839609361 OAI: oai:DiVA.org:his-11718DiVA, id: diva2:874577
Conference
ASIM-Simulation in Production and Logistics 2015
Available from: 2015-11-27 Created: 2015-11-27 Last updated: 2018-08-01Bibliographically approved

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Optimal Maintenance Resources Allocation Using Automated Simulation-based Optimisation and Data Management(921 kB)119 downloads
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Ng, Amos H.C.Skoogh, Anders

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  • apa
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