Decision Support Systems and Knowledge Management for Sustainable Engineering

• Autore: Tsagarakis Konstantinos P
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
• Descrizione fisica: 1 online resource (366 p.)
• Soggetto topico: History of engineering and technology
• Soggetto non controllato: AHP; analytic hierarchical process; Analytical-Hierarchy-Process; anthropogenic spatial entities; benchmarking; buildings; business strategy; carbon flow; carrying capacity; CO2 emissions; construction phase; construction projects; constructions; corporate sustainability; crude stabilization; crude-oil; decision support systems; decision-making; DMRA; earned value analysis; ecological footprint; Egypt; energy flow; energy policy; environmental assessment; environmental sustainability; FTA; fuzzy AHP; fuzzy estimators; fuzzy numbers; fuzzy TOPSIS; Fuzzy-AHP; Greece; hazard identification; HAZOP study; healthcare organizations; higher education institutions; hospital; hydrogen sulfide; implications; incident command system; index; intangible characteristics; knowledge creation; knowledge management; lake eutrophication; lifecycle assessment; MCDM; methods; Monte Carlo simulation; Morocco; multi-criteria analysis; multi-criteria decision-making; national park; operability study; organizational learning; OSH; performance assessment; performance evaluation; performance management; performance measurement; performance of perspectives and indicators; PRAT; prediction model; problem-solving; process safety; quality of care; questionnaire; recurrent embodied carbon; regional sustainability assessment; renewable energy sources; risk analysis; risk assessment; risk management; risk-matrix; road network; sour gas; stochastic analysis; strategic environmental assessment; strategic environmental impact assessment; strategy; sustainability; sustainability aspects; sustainability assessment; sustainability indicators; sustainable development; sustainable healthcare supply chain; sustainable knowledge management; sustainable mining; SWOT analysis; system dynamics; task ontology; techniques; telecom technical projects; threshold values; time-series; Typical-AHP; validation
• Persona (resp. second.): NikolaouIoannis; VavatsikosAthanasios P; KoulouriotisDimitrios E; TsagarakisKonstantinos P
• Sommario/riassunto: 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.
• Titolo autorizzato: Decision Support Systems and Knowledge Management for Sustainable Engineering
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557375803321
• Lo trovi qui: Univ. Federico II