Integration of Methods for Optimization in a Knowledge Management Framework

被引：0

作者：

Munoz, Edrisi ^{[1
]}

Capon-Garcia, Elisabet ^{[2
]}

Lainez-Aguirre, Jose Miguel ^{[3
]}

Espuna, Antonio ^{[4
]}

Puigjaner, Luis ^{[4
]}

机构：

[1] Ctr Invest Matemat AC, Jalisco S-N, Guanajuato 36240, Mexico

[2] Swiss Fed Inst Technol, Dept Chem & Appl Biosci, CH-8093 Zurich, Switzerland

[3] Purdue Univ, Sch Chem Engn, W Lafayette, IN 47907 USA

[4] Univ Politecn Cataluna, Dept Chem Engn, E-08028 Barcelona, Spain

来源：

24TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A AND B | 2014年 / 33卷

关键词：

Operations Research; Enterprise Wide Optimization; Decision Support Systems; Knowledge Management;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The solution of process systems engineering problems involves their formal representation and application of algorithms and strategies related to several scientific disciplines, such as computer science or operations research. In this work, the domain of operations research is modelled within a semantic representation in order to systematize the application of the available methods and tools to the decision-making processes within organizations. As a result, an operation research ontology is created. Such ontology is embedded in a wider framework that contains two additional ontologies, namely, the enterprise ontology project and a mathematical representation, and additionally it communicates with optimization algorithms. The new ontology provides a means for automating the creation of mathematical models based on operations research principles.

引用

页码：859 / 864

页数：6

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