Supply chain modelling and analysis: an application of Latin square to a repeated coupling of non-linear differential equations Online publication date: Wed, 06-May-2015
by Elena Ciancimino, Salvatore Cannella
International Journal of Logistics Systems and Management (IJLSM), Vol. 9, No. 3, 2011
Abstract: In the last 50 years, Forrester's system dynamics techniques have been adopted to analyse problems and find solutions for global supply chains. An important topic in production-inventory system modelling is the design of experiment. The aim of this paper is to present an application of a statistical technique of design of experiment, the Latin Square Design, to set a combination of input values for the initial-value problem of non-linear repeated coupling of first-order differential equations modelling a production-inventory system. This design permits to reduce the number of experiments while allowing statistical analysis for testing the significance of the studied parameters.
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