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Forest-based supply chain modelling using the SimPy simulation framework

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dc.contributor.authorPinho, Tatiana M.
dc.contributor.authorCoelho, João Paulo
dc.contributor.authorBoaventura-Cunha, José
dc.date.accessioned2016-07-04T09:20:26Z
dc.date.available2016-07-04T09:20:26Z
dc.date.issued2016
dc.description.abstractProper management of supply chains is fundamental in the overall system performance of forestbased activities. Usually, efficient management techniques rely on a decision support software, which needs to be able to generate fast and effective outputs from the set of possibilities. In order to do this, it is necessary to provide accurate models representative of the dynamic interactions of systems. Due to forest-based supply chains’ nature, event-based models are more suited to describe their behaviours. This work proposes the modelling and simulation of a forestbased supply chain, in particular the biomass supply chain, through the SimPy framework. This Python based tool allows the modelling of discrete-event systems using operations such as events, processes and resources. The developed model was used to access the impact of changes in the daily working plan in three situations. First, as a control case, the deterministic behaviour was simulated. As a second approach, a machine delay was introduced and its implications in the plan accomplishment were analysed. Finally, to better address real operating conditions, stochastic behaviours of processing and driving times were simulated. The obtained results validate the SimPy simulation environment as a framework for modelling supply chains in general and for the biomass problem in particular.pt_PT
dc.description.sponsorshipThis work was supported by the FCT – Fundação para Ciência e a Tecnologia through the PhD Studentship SFRH/BD/98032/2013, program POPH - Programa Operacional Potencial Humano and FSE - Fundo Social Europeu. This research has also received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreementn.[604286]. The authors wish to acknowledge the contributions of the members of FO-CUS consortium, in particular those involved in collection of information in pilot case II: Jussi Rasinm ̈aki and Dmitry Podkopaev from Simosol Oy, Finland; Bruno Oliveira and Alexandra Marques from INESC TEC, Portugal.
dc.identifier.citationPinho, Tatiana; Coelho, J.P.; Boaventura-Cunha, José (2016). Forest-based supply chain modelling using the SimPy simulation framework. In 7th IFAC Conference on Management and Control of Production and Logistics. Bremen: Elsevier. p. 90-95. ISSN 2405-8963pt_PT
dc.identifier.doi10.1016/j.ifacol.2016.03.016
dc.identifier.urihttp://hdl.handle.net/10198/13037
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationMODELOS E SISTEMAS DE CONTROLO PREDITIVO APLICADOS À INDÚSTRIA DE BASE FLORESTAL
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSimPlypt_PT
dc.subjectDiscrete-events simulationpt_PT
dc.subjectModellingpt_PT
dc.subjectForest-based suply chainpt_PT
dc.titleForest-based supply chain modelling using the SimPy simulation frameworkpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleMODELOS E SISTEMAS DE CONTROLO PREDITIVO APLICADOS À INDÚSTRIA DE BASE FLORESTAL
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F98032%2F2013/PT
oaire.citation.conferencePlaceBremenpt_PT
oaire.citation.title7th IFAC Conference on Management and Control of Production and Logisticspt_PT
person.familyNameCoelho
person.givenNameJoão Paulo
person.identifierR-001-EXZ
person.identifier.ciencia-idD61E-A586-7D4A
person.identifier.orcid0000-0002-7616-1383
person.identifier.ridJ-6887-2013
person.identifier.scopus-author-id55137039300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication2861f33b-b49a-421d-9bfa-92b4304d2668
relation.isAuthorOfPublication.latestForDiscovery2861f33b-b49a-421d-9bfa-92b4304d2668
relation.isProjectOfPublication2b8ac372-18f6-4b3d-b18c-250638d3e2ac
relation.isProjectOfPublication.latestForDiscovery2b8ac372-18f6-4b3d-b18c-250638d3e2ac

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