Conceptual Framework for the Optimization of Capacitated Lot-Sizing and Scheduling Problem

[EN] The complex nature of the capacitated lot-sizing problem, particularly within the scheduling, requires a holistic approach that considers multiple factors and their intricate interactions. In this context, a novel conceptual framework (CF) to support the combined Capacitated Lot-Sizing and Sche...

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Detalles Bibliográficos
Autores: Fiesco-Muñoz, Juan Pablo|||0009-0008-3369-4607, Esteso, Ana|||0000-0003-0379-8786, Alemany Díaz, María Del Mar|||0000-0002-0992-8441, Poler, R.|||0000-0003-4475-6371
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:dnet:riunet______::099fe143215b2cf1e8234d4679bd0e56
Acceso en línea:https://riunet.upv.es/handle/10251/235191
Access Level:acceso abierto
Palabra clave:Conceptual Framework
Capacitated-Lot Sizing
Scheduling
Mathematical programming
Optimization
Descripción
Sumario:[EN] The complex nature of the capacitated lot-sizing problem, particularly within the scheduling, requires a holistic approach that considers multiple factors and their intricate interactions. In this context, a novel conceptual framework (CF) to support the combined Capacitated Lot-Sizing and Scheduling Problem (CLSSP) through mathematical modelling is proposed. The CF is developed through a rigorous methodology that combines data collection, data analysis, literature review and conceptual framework definition. It is composed by seven dimensions, with different categories, in turn made up of elements related to different aspects of the problem and its modelling. The CF serves a dual purpose: as a comprehensive tool for the structured analysis of existing models facilitating the gaps identification and as a guide for proposing novel mathematical programming models to address the combined complexities of the CLSSP including those not yet covered.