Analysis of the performance of inventory management systems using the SCOR model and Batch Deterministic and Stochastic Petri Nets

被引:8
|
作者
Fattah, Jamal [1 ]
Ezzine, Latifa [1 ]
El Moussami, Haj [2 ]
Lachhab, Abdeslam [1 ]
机构
[1] Moulay Ismail Univ, High Sch Technol Meknes ESTM, Modeling Control Syst & Telecommun Team, POB 3103, Toulal, Morocco
[2] Moulay Ismail Univ, ENSAM Sch, Mech & Integrated Engn Team, Al Mansour, Morocco
来源
INTERNATIONAL JOURNAL OF ENGINEERING BUSINESS MANAGEMENT | 2016年 / 8卷
关键词
Modeling; Stochastic Petri Nets; inventory management systems; SCOR model; performance analysis;
D O I
10.1177/1847979016678370
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this article, we present a contribution to modeling, evaluation, and analysis of the inventory management systems performance and more generally stochastic discrete event systems with a batch behavior. For this contribution, we combine two models: the Supply Chain Operations Reference model, proposed by the Supply Chain Council, with the Batch Deterministic and Stochastic Petri Nets, which constitutes a very powerful dynamic modeling tool. To do this, we applied these tools on a typical model of inventory management system in order to show how the combination of these two tools can help us to model and analyze the performance of the inventory management system and to provide information on their behavior and the effects of their parameters. A resolution of the stochastic process associated with the warehouse management system will allow us to calculate the following performance indicators: average stock, average cost of stock, probability of an empty stock, and average supply and frequency. These indicators will help to monitor the activity of our stock management system, and therefore make the right decisions for the development of the organization.
引用
收藏
页码:1 / 11
页数:11
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