- -

E-aplan: a tool for teaching collaborative aggregate production planning in industrial engineering

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

E-aplan: a tool for teaching collaborative aggregate production planning in industrial engineering

Mostrar el registro completo del ítem

Poler Escoto, R.; Andres, B.; Guzmán Ortiz, E. (2021). E-aplan: a tool for teaching collaborative aggregate production planning in industrial engineering. Modelling in Science Education and Learning. 14(1):67-76. https://doi.org/10.4995/msel.2021.14440

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/161663

Ficheros en el ítem

Metadatos del ítem

Título: E-aplan: a tool for teaching collaborative aggregate production planning in industrial engineering
Otro titulo: E–aplan: una herramienta para la enseñanza de la planificación colaborativa de la producción agregada en ingeniería industrial
Autor: Poler Escoto, Raúl Andres, Beatriz Guzmán Ortiz, Eduardo
Entidad UPV: Universitat Politècnica de València. Escuela Politécnica Superior de Alcoy - Escola Politècnica Superior d'Alcoi
Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Universitat Politècnica de València. Centro de Investigación en Gestión e Ingeniería de Producción - Centre d'Investigació en Gestió i Enginyeria de Producció
Fecha difusión:
Resumen:
[EN] In this paper, we present a software tool entitled E-aplan Express (version 2018), with free access for educational and commercial use, to the modelling and resolution of aggregate production plans generating medium-long ...[+]


[ES] En este trabajo se presenta una herramienta informática titulada E–aplan Express (versión 2018), de libre acceso para uso educativo y comercial, para la modelización y resolución de planes de producción agregados ...[+]
Palabras clave: Planning , Aggregate production , Collaborative , Industrial engineering students , Planificación , Producción agregada , Colaborativa , Estudiantes de ingeniería industrial
Derechos de uso: Reconocimiento - No comercial (by-nc)
Fuente:
Modelling in Science Education and Learning. (eissn: 1988-3145 )
DOI: 10.4995/msel.2021.14440
Editorial:
Universitat Politècnica de València
Versión del editor: https://doi.org/10.4995/msel.2021.14440
Código del Proyecto:
info:eu-repo/grantAgreement/GVA//ACIF%2F2018%2F170/
Agradecimientos:
Consellería de Educación, Investigación, Cultura y Deporte - Generalitat Valenciana for hiring pre-doctoral research staff with Grant (ACIF/2018/170); European Social Fund with Grant Operational Program of FSE 2014–2020, ...[+]
Tipo: Artículo

References

Alarcón, F., Alemany, M. M. E., Ortiz, A., and Lario, F. C. (2006). Modelling the order promising process for collaborative networks. EWork and EBusiness in Architecture, Engineering and Construction. ECPPM 2006: European Conference on Product and Process Modelling 2006 (ECPPM 2006), Valencia, Spain, 13-15 September 2006, 467.

Andres, B., and Poler, R. (2016). Models, guidelines and tools for the integration of collaborative processes in non-hierarchical manufacturing networks: a review. International Journal of Computer Integrated Manufacturing, 2(29), 166-201. https://doi.org/10.1080/0951192X.2014.1003148

Andres, Beatriz, Sanchis, R., y Poler, R. (2016). Modelado y simulación de la cadena de suministro con AnyLogic R . Modelling in Science Education and Learning, 9(1), 57. https://doi.org/10.4995/msel.2016.3520 [+]
Alarcón, F., Alemany, M. M. E., Ortiz, A., and Lario, F. C. (2006). Modelling the order promising process for collaborative networks. EWork and EBusiness in Architecture, Engineering and Construction. ECPPM 2006: European Conference on Product and Process Modelling 2006 (ECPPM 2006), Valencia, Spain, 13-15 September 2006, 467.

Andres, B., and Poler, R. (2016). Models, guidelines and tools for the integration of collaborative processes in non-hierarchical manufacturing networks: a review. International Journal of Computer Integrated Manufacturing, 2(29), 166-201. https://doi.org/10.1080/0951192X.2014.1003148

Andres, Beatriz, Sanchis, R., y Poler, R. (2016). Modelado y simulación de la cadena de suministro con AnyLogic R . Modelling in Science Education and Learning, 9(1), 57. https://doi.org/10.4995/msel.2016.3520

Berezinets, I., Nikolchenko, N., and Zenkevich, N. (2020). Is collaborative planning a determinant of financial performance in supply chain? Empirical study. International Journal of Information Systems and Supply Chain Management, 13(3), 38-53. https://doi.org/10.4018/IJISSCM.2020070103

Cheraghalikhani, A., Khoshalhan, F., and Mokhtari, H. (2019). Aggregate production planning: A literature review and future research directions. International Journal of Industrial Engineering Computations, 10(2), 309-330. https://doi.org/10.5267/j.ijiec.2018.6.002

Dudek, G., and Stadtler, H. (2005). Negotiation-based collaborative planning between supply chains partners. European Journal of Operational Research, 163(3), 668-687. https://doi.org/10.1016/j.ejor.2004.01.014

Gupta, A., and Maranas, C. D. (2003). Managing demand uncertainty in supply chain planning. Computers and Chemical Engineering, 27(8-9), 1219-1227. https://doi.org/10.1016/S0098-1354(03)00048-6

Jacobs, F. R., Berry, W. L., Whybark, D. C., and Vollmann, T. E. (2011). Manufacturing Planning and Control for Supply Chain Management. McGraw-Hill Professional.

Jacobs, F. R., and Chase, R. B. (2018). Operations and supply chain management (Fifteenth). McGraw Hill.

Mula, J., and Poler, R. (2011). Applied mathematical modelling for Industrial Engineers. Modelling in Science Education and Learning, 4(25), 307. https://doi.org/10.4995/msel.2011.3097

Pereira, D. F., Oliveira, J. F., and Carravilla, M. A. (2020). Tactical sales and operations planning: A holistic framework and a literature review of decision-making models. International Journal of Production Economics, 228(July 2019), 107695. https://doi.org/10.1016/j.ijpe.2020.107695

Poler, R., Mula, J., y Díaz-Madroñero, M. (2013). ADGIP: Una herramienta docente para el modelado y resolución de árboles de decisión. Modelling in Science Education and Learning, 6(16), 197. https://doi.org/10.4995/msel.2013.1946

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem