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Defining an integrated framework for demand forecasting, due date assignment, scheduling, and performance evaluation in operations management

dc.contributor.authorTeymourifar, Aydin
dc.contributor.authorPinto, Maria Francisca de Lima Teixeira
dc.contributor.authorMoreira, José Maria Antunes Bento
dc.contributor.authorMachado, Inês Filipa Medeiros
dc.date.accessioned2024-07-26T16:30:43Z
dc.date.available2024-07-26T16:30:43Z
dc.date.issued2024-06
dc.description.abstractThis study introduces an integrated framework for operations management, encompassing demand forecasting, capacity allocation based on estimated demand, due date assignment for incoming orders according to allocated capacity, and utilizing due dates as scheduling rules and performance evaluation criteria. We provide detailed insights into implementing this innovative approach, leveraging regression models and neural networks. Additionally, we provide a comprehensive review of alternative methods applicable to this framework. Our method offers practical applicability across diverse sectors of operations management, yielding tangible outcomes, which we elucidate in this study.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.14/45903
dc.language.isoengpt_PT
dc.peerreviewednopt_PT
dc.subjectOperation managementpt_PT
dc.subjectDemand forecastingpt_PT
dc.subjectDue date assignmentpt_PT
dc.subjectSchedulingpt_PT
dc.subjectService managementpt_PT
dc.titleDefining an integrated framework for demand forecasting, due date assignment, scheduling, and performance evaluation in operations managementpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceItalypt_PT
oaire.citation.title4th Current Issues in Business and Economic Studiespt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT

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