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210512 ||| eng |
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|a 9783039430970
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|a books978-3-03943-097-0
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|a 9783039430963
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| 100 |
1 |
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|a Tsagarakis, Konstantinos P.
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| 245 |
0 |
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|a Decision Support Systems and Knowledge Management for Sustainable Engineering
|h Elektronische Ressource
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| 260 |
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|a Basel, Switzerland
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2020
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| 300 |
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|a 1 electronic resource (366 p.)
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| 653 |
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|a renewable energy sources
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| 653 |
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|a carbon flow
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| 653 |
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|a Fuzzy-AHP
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| 653 |
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|a national park
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| 653 |
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|a energy flow
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| 653 |
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|a methods
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| 653 |
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|a construction projects
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| 653 |
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|a strategic environmental assessment
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| 653 |
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|a risk management
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| 653 |
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|a lifecycle assessment
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| 653 |
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|a AHP
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| 653 |
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|a knowledge management
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| 653 |
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|a organizational learning
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| 653 |
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|a FTA
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| 653 |
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|a stochastic analysis
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| 653 |
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|a performance measurement
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| 653 |
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|a History of engineering & technology / bicssc
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| 653 |
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|a carrying capacity
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| 653 |
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|a decision support systems
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| 653 |
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|a performance assessment
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| 653 |
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|a risk assessment
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| 653 |
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|a analytic hierarchical process
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| 653 |
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|a multi-criteria analysis
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| 653 |
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|a road network
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| 653 |
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|a corporate sustainability
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| 653 |
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|a knowledge creation
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| 653 |
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|a anthropogenic spatial entities
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| 653 |
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|a index
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| 653 |
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|a sustainable mining
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| 653 |
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|a DMRA
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| 653 |
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|a operability study
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| 653 |
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|a ecological footprint
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| 653 |
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|a benchmarking
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| 653 |
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|a risk-matrix
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| 653 |
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|a higher education institutions
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| 653 |
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|a performance management
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| 653 |
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|a Morocco
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| 653 |
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|a healthcare organizations
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| 653 |
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|a problem-solving
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| 653 |
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|a SWOT analysis
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| 653 |
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|a validation
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| 653 |
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|a earned value analysis
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| 653 |
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|a telecom technical projects
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| 653 |
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|a HAZOP study
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| 653 |
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|a constructions
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| 653 |
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|a sustainable development
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| 653 |
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|a system dynamics
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| 653 |
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|a prediction model
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| 653 |
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|a fuzzy AHP
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| 653 |
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|a risk analysis
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| 653 |
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|a task ontology
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| 653 |
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|a time-series
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| 653 |
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|a MCDM
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| 653 |
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|a PRAT
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| 653 |
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|a crude-oil
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| 653 |
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|a hazard identification
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| 653 |
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|a sustainability aspects
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| 653 |
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|a performance of perspectives and indicators
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| 653 |
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|a decision-making
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| 653 |
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|a OSH
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| 653 |
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|a business strategy
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| 653 |
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|a incident command system
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| 653 |
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|a environmental assessment
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| 653 |
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|a Greece
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| 653 |
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|a threshold values
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| 653 |
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|a techniques
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| 653 |
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|a regional sustainability assessment
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| 653 |
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|a quality of care
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| 653 |
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|a lake eutrophication
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| 653 |
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|a intangible characteristics
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| 653 |
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|a sustainability indicators
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| 653 |
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|a sustainability assessment
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| 653 |
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|a hydrogen sulfide
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| 653 |
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|a fuzzy estimators
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| 653 |
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|a energy policy
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| 653 |
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|a buildings
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| 653 |
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|a Egypt
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| 653 |
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|a fuzzy numbers
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| 653 |
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|a performance evaluation
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| 653 |
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|a sustainable healthcare supply chain
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| 653 |
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|a sour gas
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| 653 |
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|a sustainable knowledge management
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| 653 |
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|a Analytical-Hierarchy-Process
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| 653 |
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|a Typical-AHP
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| 653 |
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|a fuzzy TOPSIS
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| 653 |
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|a strategy
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| 653 |
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|a implications
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| 653 |
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|a multi-criteria decision-making
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| 653 |
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|a process safety
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| 653 |
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|a sustainability
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| 653 |
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|a crude stabilization
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| 653 |
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|a environmental sustainability
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| 653 |
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|a hospital
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| 653 |
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|a construction phase
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| 653 |
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|a recurrent embodied carbon
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| 653 |
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|a strategic environmental impact assessment
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| 653 |
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|a Monte Carlo simulation
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| 653 |
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|a questionnaire
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| 653 |
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|a CO2 emissions
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| 700 |
1 |
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|a Nikolaou, Ioannis
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| 700 |
1 |
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|a Vavatsikos, Athanasios P.
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| 700 |
1 |
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|a Koulouriotis, Dimitrios E.
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 024 |
8 |
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|a 10.3390/books978-3-03943-097-0
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| 856 |
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|u https://directory.doabooks.org/handle/20.500.12854/69127
|3 Volltext
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|a 363
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|a 370
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|a 900
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|a 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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