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dc.contributor.authorPulido Rojano, Alexander
dc.contributor.authorGarcía Díaz, J. Carlos
dc.date.accessioned2020-01-13T22:10:18Z
dc.date.available2020-01-13T22:10:18Z
dc.date.issued2020
dc.identifier.isbn17466474
dc.identifier.urihttps://hdl.handle.net/20.500.12442/4497
dc.description.abstractMathematical optimisation is widely used to find the optimal value for an objective function, subject to constraints that try to simulate reality, and is fundamental to improving industrial processes. In this paper, we compare different optimisation approaches to solve the packaging problem in multihead weighing machines. In this problem, each package is made up from the loads in a subset of the multihead weigher’s hoppers. The total weight of the packed product must be as close to a specified target weight as possible. We designed and evaluated a set of algorithms for this problem, considering both single-objective and bi-objective optimisation criteria. A new criterion for creating the packages is considered, and a different way of filling of the hoppers is studied with the aim of reducing process variability. Numerical experiments considering both a set of real data and the most important process performance parameters show the usefulness of our study.eng
dc.format.mimetypepdfspa
dc.language.isoengeng
dc.publisherInderscience Enterpriseseng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacionaleng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/eng
dc.sourceInternational Journal of Productivity and Quality Managementeng
dc.sourceVol. 29, No. 1 (2020)
dc.source.uri10.1504/IJPQM.2019.10019239
dc.subjectOptimisationeng
dc.subjectMathematical modellingeng
dc.subjectExhaustive searcheng
dc.subjectReduction of variabilityeng
dc.subjectProcess improvementeng
dc.subjectPackagingeng
dc.subjectMultihead weighing processeng
dc.titleOptimisation algorithms for improvement of a multihead weighing processeng
dc.typearticleeng
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