A decision support tool for operational planning: a Digital Twin using simulation and forecasting methods

作者: Carlos Henrique dos Santos , Renan Delgado Camurça Lima , Fabiano Leal , José Antonio de Queiroz , Pedro Paulo Balestrassi

DOI: 10.1590/0103-6513.20200018

关键词: Operational planningDecision support systemOperations researchComputer science

摘要:

参考文章(30)
Anna-Lena Sachs, Safety Stock Planning Under Causal Demand Forecasting International Journal of Production Economics. ,vol. 140, pp. 637- 645 ,(2012) , 10.1007/978-3-319-13305-8_3
Federico Poloni, Giacomo Sbrana, A note on forecasting demand using the multivariate exponential smoothing framework International Journal of Production Economics. ,vol. 162, pp. 143- 150 ,(2015) , 10.1016/J.IJPE.2015.01.017
Rob J. Hyndman, Anne B. Koehler, Another look at measures of forecast accuracy International Journal of Forecasting. ,vol. 22, pp. 679- 688 ,(2006) , 10.1016/J.IJFORECAST.2006.03.001
José Roberto do Rego, Marco Aurélio de Mesquita, Demand forecasting and inventory control: A simulation study on automotive spare parts International Journal of Production Economics. ,vol. 161, pp. 1- 16 ,(2015) , 10.1016/J.IJPE.2014.11.009
Matteo Kalchschmidt, Best practices in demand forecasting: Tests of universalistic, contingency and configurational theories International Journal of Production Economics. ,vol. 140, pp. 782- 793 ,(2012) , 10.1016/J.IJPE.2012.02.022
Seongmin Moon, Christian Hicks, Andrew Simpson, The development of a hierarchical forecasting method for predicting spare parts demand in the South Korean Navy - a case study International Journal of Production Economics. ,vol. 140, pp. 794- 802 ,(2012) , 10.1016/J.IJPE.2012.02.012
Ashkan Negahban, Jeffrey S. Smith, Simulation for manufacturing system design and operation: Literature review and analysis Journal of Manufacturing Systems. ,vol. 33, pp. 241- 261 ,(2014) , 10.1016/J.JMSY.2013.12.007
P.P. Balestrassi, E. Popova, A.P. Paiva, J.W. Marangon Lima, Design of experiments on neural network's training for nonlinear time series forecasting Neurocomputing. ,vol. 72, pp. 1160- 1178 ,(2009) , 10.1016/J.NEUCOM.2008.02.002
Ruud H. Teunter, Aris A. Syntetos, M. Zied Babai, Intermittent demand: Linking forecasting to inventory obsolescence European Journal of Operational Research. ,vol. 214, pp. 606- 615 ,(2011) , 10.1016/J.EJOR.2011.05.018
David Goldsman, Richard E. Nance, James R. Wilson, A brief history of simulation revisited winter simulation conference. pp. 567- 574 ,(2010) , 10.5555/2433508.2433574