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An object-oriented supply chain simulation for products with high service level requirements in the embedded devices industry

An object-oriented supply chain simulation for products with high service level requirements in... The supply chain of a case study in the embedded devices industry was examined from the perspective of a high service level for the delivery of one of its products. For this purpose, an agent-based object-oriented model of the supply chain with a quantity reorder system for the inventory management was developed. The historical demand data from the ERP system of the case study was examined and pseudo-random numbers for a Monte Carlo simulation of the supply chain was generated with it. The paper examines the performance of the supply chain by using a simulation with a stockout penalty and the percentage of items delivered from stock. Results from simulation show that no single solution for the reorder point and quantity with an optimal stockout penalty can be found. The simulation generated a solution for the minimum average penalty. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Business Performance and Supply Chain Modelling Inderscience Publishers

An object-oriented supply chain simulation for products with high service level requirements in the embedded devices industry

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1758-9401
eISSN
1758-941X
DOI
10.1504/IJBPSCM.2012.050388
Publisher site
See Article on Publisher Site

Abstract

The supply chain of a case study in the embedded devices industry was examined from the perspective of a high service level for the delivery of one of its products. For this purpose, an agent-based object-oriented model of the supply chain with a quantity reorder system for the inventory management was developed. The historical demand data from the ERP system of the case study was examined and pseudo-random numbers for a Monte Carlo simulation of the supply chain was generated with it. The paper examines the performance of the supply chain by using a simulation with a stockout penalty and the percentage of items delivered from stock. Results from simulation show that no single solution for the reorder point and quantity with an optimal stockout penalty can be found. The simulation generated a solution for the minimum average penalty.

Journal

International Journal of Business Performance and Supply Chain ModellingInderscience Publishers

Published: Jan 1, 2012

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