Performance Evaluation of Logistics with Componentized Stochastic Models

被引：0

作者：

Alves, Gabriel, Jr. ^{[1
]}

Maciel, Paulo ^{[1
]}

Lima, Ricardo ^{[2
]}

Zimmermann, Armin ^{[3
]}

机构：

[1] Univ Fed Pernambuco, Ctr Informat, Recife, PE, Brazil

[2] Univ Pernambuco, Dept Sistemas Computacionais, Recife, PE, Brazil

[3] Tech Univ Berlin, Berlin, Germany

来源：

2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6 | 2008年

关键词：

Outbound logistics; Modeling tool; Performance evaluation; Stochastic Petri nets; Supply chain management;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work proposes the use of pre-defined Generalized Stochastic Petri net (GSPN) components to model and evaluate outbound logistics. The modeling process takes into account the automatic generation of these stochastic models from high-level end-user-oriented descriptions. The model resultant from this translation is guaranteed to have some expected Petri nets' properties. The Stochastic Logistics Optimizer Toot (SLOT) was implemented with the aim of supporting the modeling process based on a component library. Case studies were carried out and one of them is presented.

引用

页码：2086 / +

页数：2

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