2026-04-14T08:36:06Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4284012025-07-17T14:13:12Zcom_2072_1033col_2072_452950

A framework for designing a decision support system for energy aware production planning and scheduling Arica, Emrah Ogorodnyk, Olga Ranaboldo, Matteo Juanpera Gallel, Marc Fisco Compte, Pau Domenech Léga, Bruno Bullich Massagué, Eduard Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses Universitat Politècnica de Catalunya. Doctorat en Enginyeria Elèctrica Universitat Politècnica de Catalunya. CITCEA-UPC - Centre d'Innovació Tecnològica en Convertidors Estàtics i Accionaments Universitat Politècnica de Catalunya. DOPS - Disseny i Optimització de Processos i Serveis Àrees temàtiques de la UPC::Enginyeria elèctrica Production planning and scheduling Energy efficiency Decision support This paper describes a decision-making and support framework for energy efficient and flexible production planning and scheduling. The framework aims to provide guidelines to align the design and development of the energy-aware production scheduling decision support systems with the requirements and characteristics of the manufacturing environments. The framework consists of multifaceted factors, including the scope of the production planning and scheduling tasks, the characteristics of the manufacturing environments, and not least the involvement of the human, technology, and organizational factors for energy-aware production planning and scheduling process. A use case example is included to illustrate the application of the framework. Postprint (author's final draft) 2024 Conference report Arica, E. [et al.]. A framework for designing a decision support system for energy aware production planning and scheduling. A: Conference on Intelligent Computation in Manufacturing Engineering. "18th CIRP Conference on Intelligent Computation in Manufacturing Engineering: 10-12 July 2024, Gulf of Naples, Italy". Elsevier, 2024, p. 1-6. https://hdl.handle.net/2117/428401 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ Open Access Attribution-NonCommercial-NoDerivatives 4.0 International 6 p. application/pdf Elsevier