Enterprise-Wide Scheduling Framework Supported by Knowledge Management

被引：0

作者：

Capon-Garcia, Elisabet ^{[1
]}

Munoz, Edrisi ^{[2
]}

Lainez-Aguirre, Jose M. ^{[3
]}

Espuna, Antonio ^{[4
]}

Puigjaner, Luis ^{[4
]}

机构：

[1] ETH, Dept Chem & Appl Biosci, CH-8093 Zurich, Switzerland

[2] Ctr Invest Matemat AC, Guanajuato 36240, Mexico

[3] SUNY Buffalo, Dept Ind & Syst Engn, Amherst, NY 14260 USA

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

来源：

12TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING (PSE) AND 25TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING (ESCAPE), PT B | 2015年 / 37卷

关键词：

Scheduling Models; Mathematical Modeling; Knowledge Management;

D O I：

暂无

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The scheduling function determines the amount of each product to produce, the allocation of equipment and resources to tasks, as well as the sequencing and timing of such tasks, in order to fulfill plan production objectives. A knowledge-based model has been created relying on rigorous analysis of existing process scheduling models. Likewise, a reasoning tool has been developed for matching the system and scheduling task features to previously existing mathematical models. As a result, a model selection can be obtained based on features matching.

引用

页码：983 / 988

页数：6

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