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A tool to test and validate algorithms for the resource-constrained project scheduling problem

dc.contributor.authorVanhoucke, Mario
dc.contributor.authorCoelho, José
dc.date.accessioned2019-02-04T17:09:19Z
dc.date.available2019-02-04T17:09:19Z
dc.date.issued2018-02-22
dc.description.abstractIn a paper written by by Vanhoucke et al. (2016), an overview of artificial and empirical project databases has been given for integrated project management and control. These databases are collections of the most well-known and widespread data instances available in literature for the construction of a baseline schedule, the analysis of schedule risk or the use for project control. The current paper serves as a follow-up study to further elaborate on the use of these data instances, and to give researchers an incentive to use these datasets for their research on the development and validation of new algorithms for project scheduling. Therefore, unlike the general focus of the previous paper on baseline scheduling, schedule risk analysis and project control, the focus on the current paper is restricted to resource-constrained project scheduling. The intention of this follow-up overview is fourfold. First and foremost, a procedure is proposed to facilitate the reporting of best known solutions for the well-known single- and multi-mode resource-constrained project scheduling problem to minimize the project makespan. Secondly, the paper reports our best known solutions we obtained so far, and reflects on the network and resource parameters that increase the project complexity. In doing so, areas to focus on for future research are detected, and an attempt to define hard problem instances is given. Thirdly, a new dataset is presented for the resource-constrained project scheduling problem that is much more diverse in both the network topology and resource scarceness and will enable the future researcher to develop algorithms to solve a wider range of project problems. Finally, the paper also adds some links to tutorials and other relevant information to stimulate researchers to download the data and update best known solutions once available.pt_PT
dc.description.sponsorshipWe acknowledge the financial support provided by the “Bijzonder Onderzoeksfonds” (BOF) and by the National Bank of Belgium (NBB) for the project with contract number BOF12GOA021 and by the Fundação para a Ciência e Tecnologia with contract number FRH/ BSAB/127795/2016.pt_PT
dc.description.sponsorshipFRH/BSAB/127795/2016
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.cie.2018.02.001pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/7912
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0360835218300378pt_PT
dc.subjectProject datapt_PT
dc.subjectResource-constrained project schedulingpt_PT
dc.subjectBest known solutionspt_PT
dc.titleA tool to test and validate algorithms for the resource-constrained project scheduling problempt_PT
dc.typepreprint
dspace.entity.typePublication
oaire.citation.endPage265pt_PT
oaire.citation.startPage251pt_PT
oaire.citation.titleComputers and Industrial Engineeringpt_PT
oaire.citation.volume118pt_PT
person.familyNameVanhoucke
person.familyNameCoelho
person.givenNameMario
person.givenNameJosé
person.identifierR-000-8V7
person.identifier.ciencia-id7D18-9842-159F
person.identifier.orcid0000-0001-6702-3563
person.identifier.orcid0000-0002-5855-284X
person.identifier.ridD-8647-2015
person.identifier.scopus-author-id6507772652
rcaap.rightsopenAccesspt_PT
rcaap.typepreprintpt_PT
relation.isAuthorOfPublication129fc49c-d742-406a-b680-f5544f8da0e2
relation.isAuthorOfPublication2926ed15-fe04-4ee4-a40d-ad0a83e33af8
relation.isAuthorOfPublication.latestForDiscovery2926ed15-fe04-4ee4-a40d-ad0a83e33af8

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