Decision Support Systems and Knowledge Management for Sustainable Engineering

Name: Decision Support Systems and Knowledge Management for Sustainable Engineering
Brand: Mdpi AG
SKU: 9783039430963
Price: 391.23 RON
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Autor: ATHANASI VAVATSIKOS

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Editura: Mdpi AG

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Modern engineering approaches focus on the design and operation of systems and products in a way tha...

Informații despre carte

Autor

ATHANASI VAVATSIKOS

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2020

Pagini

366

EAN

9783039430963

ISBN

3039430963

Enbook ID

33286619

Editura

Mdpi AG

Greutate

954

Dimensiuni

251 x 177 x 35

Descriere completă

Modern engineering approaches focus on the design and operation of systems and products in a way that allows for the sustainable use of resources. Sustainable engineering aims to provide frameworks that ensure development without compromising the quality of the natural environment and the ability of future generations to meet their own needs. In this context, decision making processes must be enriched by approaches and tools that allow decision makers to consider a wide range of sustainable options. Recently, great progress has been taking place in the fields of operation research and management science, where intelligent quantitative analysis, statistics, and prediction analytics are employed in a variety of interdisciplinary research areas, aiming to assist policy makers and managers with the consideration of a variety of sustainable options. This Special Issue consists of a 17-paper collection with published approaches and models that are designed to give answers for environmental impact and sustainability assessment, risk and knowledge management assessment, lifecycle assessment and energy management. Five papers are dedicated to advances in different literature review topics. The remaining papers deal with a variety of engineering approaches to address decision making which involves: mulricriteria decision analysis, ecological footprint and biocapacity estimations, fuzzy prediction models, advanced statistical analysis, simulation, systems dynamics model, task ontology and integration definition function modeling.

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