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Performance analysis and optimisation of new strategies for the setup of a multihead weighing process

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dc.contributor.authorGarcía-Díaz, J. Carlos
dc.contributor.authorPulido-Rojano, Alexander
dc.date.accessioned2020-02-13T19:24:16Z
dc.date.available2020-02-13T19:24:16Z
dc.date.issued2020
dc.description.abstractThis paper highlights the benefits of multihead weighing, a packaging process based on the sum of weights of several individual hoppers wherein total weight of the packed product must be close to a specified target weight while complying with applicable regulations. The paper details into performance analysis and optimisation of new strategies for setting-up the process to achieve an optimal configuration of the machine. Three strategies, designed to optimise the packaging process, are analysed and compared in terms of supplying products to the hoppers. A factorial design of the experimental model is exploited to predict the measures of performance as a function of a variety of control settings. Results of the numerical experiments are used to analyse the sources of variability and to identify the optimum operating conditions for the multihead weigher. Therefore, the findings of this paper will benefit both manufacturer and users of the multihead weigher machine.eng
dc.format.mimetypepdfspa
dc.identifier.urihttps://hdl.handle.net/20.500.12442/4737
dc.language.isoengeng
dc.publisherInderscience Enterpriseseng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacionaleng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccesseng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceEuropean Journal of Industrial Engineeringeng
dc.sourceVol. 14, No. 1 (2020)spa
dc.subjectPackingeng
dc.subjectMultihead weighing processeng
dc.subjectSix Sigma processeng
dc.subjectOptimal operating conditionseng
dc.subjectVariability reductioneng
dc.titlePerformance analysis and optimisation of new strategies for the setup of a multihead weighing processeng
dc.typearticleeng
dc.type.driverarticleeng
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