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Published in:
2019 | OriginalPaper | Chapter
A Simulink Library for Supply Chain Simulation
Authors : Juan Ramón Trapero, Francisco Ramos, Enrique Holgado de Frutos
Published in: Engineering Digital Transformation
Publisher: Springer International Publishing
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Abstract
Despite the links between forecasting and inventory control, both areas have evolved separately. This work presents a supply chain simulation library developed in Simulink to bridge that gap. To simulate a supply chain is important to define the number of companies/echelons that belong to the same supply chain and the policies that each company employs to demand forecasting and stock control. The potential user can find in this library forecasting and stock control blocks to simulate a supply chain in a modular design. We show how to implement: i) Forecasting policies. For example, the widely used exponential smoothing; ii) Replenishment models. For instance, typical order-up-to-level stock control policies as (s, S); and finally, how to connect the forecasting and stock control blocks to describe the performance of a company and to extend such relationships to define the whole supply chain.