Decision making support based on a process engineering ontology for waste treatment plant optimization
Visualitza/Obre
047.pdf (217,2Kb) (Accés restringit)
Sol·licita una còpia a l'autor
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Tipus de documentArticle
Data publicació2013
Condicions d'accésAccés restringit per política de l'editorial
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Nowadays, decision-making is highly challenging in the alignment of decisions to support the success of
plant performance and business goals. In this sense, enterprises comprise several functions which interact
with each other, such as production, marketing, sales, human resources, logistics, safety and environment.
Therefore, it is important to provide systems capable of representing and considering the different
elements involved in the enterprise decision making task. In this area, knowledge management
technologies have proved to be highly promising for improving information sharing and communication,
enhancing the enterprise operation.
The industrial waste management stands for an end-of-pipe problem involving gas, liquid or solid effluents
which contain contaminants originated from industrial activities. Waste streams must meet discharge
constraints imposed by environmental regulations before being disposed of in the environment. Thus,
waste treatment plants comprise several technologies, and treatment allocation decisions are usually
taken based on company-specific selection criteria. Therefore, there is a large amount of data and
information which has to be collected and organized, and the choice of the adequate option for an entire
manufacturing site with hundreds of continuously changing effluents becomes an overwhelming task.
The use of an ontological model for representing a waste treatment plant has been detected as an
opportunity for providing decision makers with new technologies to assess and evaluate the plant
performance using information quality. This work aims at improving the information management based on
a semantic representation of a waste treatment plant, namely its operational and logistics functions. As a
result, more accurate information is provided to the optimization tools which will lead to better solutions
based on the plant constraints.
CitacióMuñoz, E. [et al.]. Decision making support based on a process engineering ontology for waste treatment plant optimization. "Chemical engineering transactions", 2013, vol. 32, p. 277-282.
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
047.pdf | 217,2Kb | Accés restringit |