Using mathematical knowledge management to support integrated decision-making in the enterprise

被引：11
|
作者：
Munoz, Edrisi [1 ]
Capon-Garcia, Elisabet [2 ]
Lainez-Aguirrec, Jose M. [3 ]
Espuna, Antonio [4 ]
Puigjaner, Luis [4 ]
机构：
[1] Ctr Invest Matemat AC, Guanajuato, Mexico
[2] ETH, Dept Chem & Appl Biosci, CH-8093 Zurich, Switzerland
[3] Purdue Univ, Sch Chem Engn, W Lafayette, IN 47907 USA
[4] Univ Politecn Cataluna, ETSEIB, Dept Chem Engn, E-08028 Barcelona, Spain
来源：
COMPUTERS & CHEMICAL ENGINEERING | 2014年 / 66卷
关键词：
Mathematical modeling; Decision support systems; Enterprise integration; Knowledge management; MULTIPURPOSE BATCH PLANTS; OPTIMIZATION; CHALLENGES; GENERATION; FRAMEWORK; MODELS;
D O I：
10.1016/j.compchemeng.2014.02.026
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The basis of decision-making in the enterprise consists in formally representing the system and its subsystems in models which adequately capture those features which are necessary to reach consistent decisions. This work represents the elements of the enterprise which are included in mathematical models (i.e. decisions, parameters, constraints, performance indicators) in an ontology which captures the knowledge of the mathematical domain. Thus, this ontology relates the mathematical elements of the models to their corresponding semantic representation within the enterprise ontology. As a result, the mathematical symbolic abstractions of a given enterprise element in different models are directly linked to their actual unique meaning, and the integration of decisions in the enterprise is transparent and improved. The purpose of this work is illustrated in a case study related to capacity planning in the supply chain and scheduling problems. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码：139 / 150
页数：12
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