A multi-method simulation model to investigate the impact of sunflower seed segregation on silos

dc.contributor.authorCoetsee, Louise
dc.contributor.authorBean, Willemiena Lodewika
dc.contributor.emailu17027226@tuks.co.zaen_US
dc.date.accessioned2024-02-19T12:12:16Z
dc.date.available2024-02-19T12:12:16Z
dc.date.issued2024-04
dc.descriptionDATA AVAILABILITY : The data that has been used is confidential.en_US
dc.description.abstractThe South African sunflower industry is considering transferring to a quality-based marketing system driven by an incentive. However, the ability of silos to offer necessary segregation services is critical in such a transition (Baker et al., 1997) and the silo industry is concerned about the negative impact segregation could have on operations and finances. This paper proposes a multi-method simulation approach to quantify the impact of quality-based segregation and sunflower farmer response to the incentive on silo bin utilisation and the ability of the silo to store contents of arriving trucks (service level). A combination of agent-based simulation, discrete event simulation and Bayesian network sampling is used to capture system behaviour where data is scarce. Therefore, in this study, a mixed methods ABM and DES model is implemented in a new environment: a grade-based segregation problem in the South African silo industry. Several scenarios are modelled to cross-validate methods and to tease out the impact of farmer response on the results. The model is applied to a case study silo complex to test the concept. Results obtained for the case study silo show a significant negative impact on costs due to lower service levels and bin utilisation, incurring relocation and opportunity costs. Overall, this study highlights that it is necessary to consider the impact that sunflower segregation could have on each unique silo complex and provides a method to quantify the stated impact.en_US
dc.description.departmentIndustrial and Systems Engineeringen_US
dc.description.librarianhj2024en_US
dc.description.sdgNoneen_US
dc.description.sponsorshipThe Oilseeds Advisory Committee (OAC).en_US
dc.description.urihttps://www.elsevier.com/locate/simpaten_US
dc.identifier.citationCoetsee, L. & Bean, W.L. 2024, 'A multi-method simulation model to investigate the impact of sunflower seed segregation on silos', Simulation Modelling Practice and Theory, vol.132, art. 102897, doi : 10.1016/j.simpat.2024.102897.en_US
dc.identifier.issn1569-190X
dc.identifier.other10.1016/j.simpat.2024.102897
dc.identifier.urihttp://hdl.handle.net/2263/94725
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.en_US
dc.subjectAgent-based simulationen_US
dc.subjectDiscrete-event modellingen_US
dc.subjectMixed-method modellingen_US
dc.subjectBayesian networksen_US
dc.subjectAgricultural supply chain managementen_US
dc.subjectSiloen_US
dc.titleA multi-method simulation model to investigate the impact of sunflower seed segregation on silosen_US
dc.typeArticleen_US

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