Compilation of maintenance schedules based on their key performance indicators for fast iterative interaction

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dc.contributor.author Curran, Dara
dc.contributor.author van der Krogt, Roman
dc.contributor.author Little, James
dc.contributor.author Wilson, Nic
dc.date.accessioned 2014-02-24T12:32:18Z
dc.date.available 2014-02-24T12:32:18Z
dc.date.issued 2013-11
dc.identifier.citation CURRAN, D., VAN DER KROGT, R., LITTLE, J. & WILSON, N. 2013. Compilation of maintenance schedules based on their key performance indicators for fast iterative interaction. In: Proceedings of the 7th Scheduling and Planning Applications woRKshop SPARK 2013 at 23rd International Conference on Automated Planning & Scheduling (ICAPS 2013). Rome, Italy, 11 June 2013. Palo Alto, California: AAAI, pp. 63-68. en
dc.identifier.uri http://hdl.handle.net/10468/1405
dc.description.abstract Finding the optimal solution for a scheduling problem is hard, both from a computational perspective and because it is frequently difficult to articulate what the user wants. Often there are a range of possible key performance indicators (such as makespan, resource utilisation, and priority of tasks), and thus here can be many objectives that we want to optimise. However, it will typically be hard for the user to state numerical trade-offs between these objectives. Instead, it can be helpful if the user can explore the solution space themselves, to find which compromises between objectives they prefer. This paper demonstrates the use of Multi-valued Decision Diagrams in consideration of scheduling a real maintenance problem, namely the scheduling of Irish Navy dockyard maintenance. We show how candidate schedules can be compiled into MDDs, based on their associated Key Performance Indicators (KPIs). This representation allows the possible values of KPIs to be restricted by the user, and achievable values of other KPIs can be quickly determined, thus enabling fast iterative interaction with the user in order to achieve a satisfactory balance between the KPIs. We experimentally compare the performance of the MDD with that of a database, showing that the MDD can be considerably faster. en
dc.description.uri http://icaps13.icaps-conference.org/ en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Association for the Advancement of Artificial Intelligence en
dc.relation.ispartof Proceedings of the 7th Scheduling and Planning Applications woRKshop SPARK 2013 at 23rd International Conference on Automated Planning & Scheduling (ICAPS 2013). Rome, Italy, 11-14 June 2013.
dc.relation.uri http://icaps13.icaps-conference.org/wp-content/uploads/2013/05/spark13-proceedings.pdf
dc.relation.uri http://decsai.ugr.es/~lcv/SPARK/
dc.rights Copyright 2013, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. en
dc.subject Maintenance scheduling en
dc.subject Multi-valued decision diagrams (MDDs) en
dc.subject Key performance indicators (KPIs) en
dc.subject.lcsh Performance--Management en
dc.title Compilation of maintenance schedules based on their key performance indicators for fast iterative interaction en
dc.type Conference item en
dc.internal.authorcontactother Nic Wilson, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: n.wilson@4c.ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2014-01-16T13:42:35Z
dc.description.version Accepted Version en
dc.internal.rssid 241509286
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked Yes, !!CORA!! AAAI copyright form http://www.aaai.org/Publications/Author/copyrightform.pdf also downloade with Author Kit for conference paper authors. The foregoing right shall not permit the posting of the article/paper in electronic or digital form on any computer network, except by the author or the author’s employer, and then only on the author’s or the employer’s own web page or ftp site. Such web page or ftp site, in addition to the afore-mentioned requirements of this Paragraph, shall not post other AAAI copyrighted materials not of the author’s or the employer’s creation (including tables of contents with links to other papers) without AAAI’s written permission. Also submission instructions for conference paper authors note a non-exclusive agreement http://www.aaai.org/Publications/Author/ocs-submission-instructions.php en
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Rome, Italy en
dc.internal.placepublication Palo Alto, California en
dc.internal.IRISemailaddress n.wilson@ucc.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Technology and Innovation Development Award (TIDA)/11/TIDA/I2000/IE/Compilation of Good Schedules for Fast Iterative Interaction/ en


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