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HAZOP: een veilige bedrijfsvoering
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Year: 2004 Publisher: Alphen aan den Rijn Kluwer

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Hazop : guide to best practice. guidelines to best practice for the process and chemical industries.
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ISBN: 0852954271 Year: 2000 Publisher: Rugby Institution Of Chemical Engineers

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HAZOP : guide to best practice : guidelines to best practice for the process and chemical industries
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ISBN: 0128035803 0323394604 9780323394604 9780128035801 Year: 2015 Publisher: Amsterdam, Netherlands : Elsevier,

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HAZOP: Guide to Best Practice, 3rd Edition describes and illustrates the HAZOP study method, highlighting a variety of proven uses and approaches. This updated edition brings additional experience with which to assist the reader in delivering optimum safety and efficiency of performance of the HAZOP team. HAZOP is the most widely-used technique in the process industries for the identification of hazards and the planning of safety measures. This book explains how to implement HAZOP techniques in new facilities and apply it to existing facilities. The content covers many of the possible applications of HAZOP and takes you through all the stages of a study. This simple, easily digestible book is a favorite in the chemical and process industries. A concise and clear guide to the do's and don'ts in HAZOP New edition brings additional experience to help you deliver optimum safety and efficiency of performance. Updated material includes a section on HAZOP study of a procedure with a detailed example, new sections on pre-meeting with the client auditing a study, human factors and linking HAZOP study to LOPA. A section on start-up and shutdown has been added to the chapter on specific applications of HAZOP.


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Decision Support Systems and Knowledge Management for Sustainable Engineering
Authors: --- --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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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.

Keywords

History of engineering & technology --- higher education institutions --- sustainability assessment --- benchmarking --- energy flow --- carbon flow --- sustainable development --- problem-solving --- incident command system --- task ontology --- knowledge management --- sustainable healthcare supply chain --- performance measurement --- performance of perspectives and indicators --- sustainability aspects --- intangible characteristics --- lifecycle assessment --- recurrent embodied carbon --- system dynamics --- buildings --- CO2 emissions --- construction phase --- stochastic analysis --- Monte Carlo simulation --- implications --- fuzzy estimators --- lake eutrophication --- prediction model --- corporate sustainability --- business strategy --- decision-making --- decision support systems --- road network --- sustainability --- analytic hierarchical process --- crude-oil --- sour gas --- hydrogen sulfide --- crude stabilization --- hazard identification --- HAZOP study --- risk analysis --- operability study --- process safety --- risk-matrix --- DMRA --- multi-criteria decision-making --- Analytical-Hierarchy-Process --- Typical-AHP --- Fuzzy-AHP --- index --- sustainable mining --- threshold values --- sustainability indicators --- environmental sustainability --- environmental assessment --- anthropogenic spatial entities --- knowledge creation --- healthcare organizations --- hospital --- organizational learning --- sustainable knowledge management --- strategy --- validation --- questionnaire --- quality of care --- renewable energy sources --- energy policy --- SWOT analysis --- multi-criteria analysis --- AHP --- fuzzy TOPSIS --- Morocco --- Egypt --- strategic environmental assessment --- strategic environmental impact assessment --- methods --- techniques --- Greece --- MCDM --- fuzzy AHP --- PRAT --- FTA --- time-series --- risk assessment --- OSH --- telecom technical projects --- constructions --- carrying capacity --- regional sustainability assessment --- ecological footprint --- national park --- risk management --- performance assessment --- performance management --- performance evaluation --- earned value analysis --- construction projects --- fuzzy numbers --- higher education institutions --- sustainability assessment --- benchmarking --- energy flow --- carbon flow --- sustainable development --- problem-solving --- incident command system --- task ontology --- knowledge management --- sustainable healthcare supply chain --- performance measurement --- performance of perspectives and indicators --- sustainability aspects --- intangible characteristics --- lifecycle assessment --- recurrent embodied carbon --- system dynamics --- buildings --- CO2 emissions --- construction phase --- stochastic analysis --- Monte Carlo simulation --- implications --- fuzzy estimators --- lake eutrophication --- prediction model --- corporate sustainability --- business strategy --- decision-making --- decision support systems --- road network --- sustainability --- analytic hierarchical process --- crude-oil --- sour gas --- hydrogen sulfide --- crude stabilization --- hazard identification --- HAZOP study --- risk analysis --- operability study --- process safety --- risk-matrix --- DMRA --- multi-criteria decision-making --- Analytical-Hierarchy-Process --- Typical-AHP --- Fuzzy-AHP --- index --- sustainable mining --- threshold values --- sustainability indicators --- environmental sustainability --- environmental assessment --- anthropogenic spatial entities --- knowledge creation --- healthcare organizations --- hospital --- organizational learning --- sustainable knowledge management --- strategy --- validation --- questionnaire --- quality of care --- renewable energy sources --- energy policy --- SWOT analysis --- multi-criteria analysis --- AHP --- fuzzy TOPSIS --- Morocco --- Egypt --- strategic environmental assessment --- strategic environmental impact assessment --- methods --- techniques --- Greece --- MCDM --- fuzzy AHP --- PRAT --- FTA --- time-series --- risk assessment --- OSH --- telecom technical projects --- constructions --- carrying capacity --- regional sustainability assessment --- ecological footprint --- national park --- risk management --- performance assessment --- performance management --- performance evaluation --- earned value analysis --- construction projects --- fuzzy numbers


Book
Decision Support Systems and Knowledge Management for Sustainable Engineering
Authors: --- --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

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.

Keywords

History of engineering & technology --- higher education institutions --- sustainability assessment --- benchmarking --- energy flow --- carbon flow --- sustainable development --- problem-solving --- incident command system --- task ontology --- knowledge management --- sustainable healthcare supply chain --- performance measurement --- performance of perspectives and indicators --- sustainability aspects --- intangible characteristics --- lifecycle assessment --- recurrent embodied carbon --- system dynamics --- buildings --- CO2 emissions --- construction phase --- stochastic analysis --- Monte Carlo simulation --- implications --- fuzzy estimators --- lake eutrophication --- prediction model --- corporate sustainability --- business strategy --- decision-making --- decision support systems --- road network --- sustainability --- analytic hierarchical process --- crude-oil --- sour gas --- hydrogen sulfide --- crude stabilization --- hazard identification --- HAZOP study --- risk analysis --- operability study --- process safety --- risk-matrix --- DMRA --- multi-criteria decision-making --- Analytical-Hierarchy-Process --- Typical-AHP --- Fuzzy-AHP --- index --- sustainable mining --- threshold values --- sustainability indicators --- environmental sustainability --- environmental assessment --- anthropogenic spatial entities --- knowledge creation --- healthcare organizations --- hospital --- organizational learning --- sustainable knowledge management --- strategy --- validation --- questionnaire --- quality of care --- renewable energy sources --- energy policy --- SWOT analysis --- multi-criteria analysis --- AHP --- fuzzy TOPSIS --- Morocco --- Egypt --- strategic environmental assessment --- strategic environmental impact assessment --- methods --- techniques --- Greece --- MCDM --- fuzzy AHP --- PRAT --- FTA --- time-series --- risk assessment --- OSH --- telecom technical projects --- constructions --- carrying capacity --- regional sustainability assessment --- ecological footprint --- national park --- risk management --- performance assessment --- performance management --- performance evaluation --- earned value analysis --- construction projects --- fuzzy numbers


Book
Decision Support Systems and Knowledge Management for Sustainable Engineering
Authors: --- --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

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.

Keywords

higher education institutions --- sustainability assessment --- benchmarking --- energy flow --- carbon flow --- sustainable development --- problem-solving --- incident command system --- task ontology --- knowledge management --- sustainable healthcare supply chain --- performance measurement --- performance of perspectives and indicators --- sustainability aspects --- intangible characteristics --- lifecycle assessment --- recurrent embodied carbon --- system dynamics --- buildings --- CO2 emissions --- construction phase --- stochastic analysis --- Monte Carlo simulation --- implications --- fuzzy estimators --- lake eutrophication --- prediction model --- corporate sustainability --- business strategy --- decision-making --- decision support systems --- road network --- sustainability --- analytic hierarchical process --- crude-oil --- sour gas --- hydrogen sulfide --- crude stabilization --- hazard identification --- HAZOP study --- risk analysis --- operability study --- process safety --- risk-matrix --- DMRA --- multi-criteria decision-making --- Analytical-Hierarchy-Process --- Typical-AHP --- Fuzzy-AHP --- index --- sustainable mining --- threshold values --- sustainability indicators --- environmental sustainability --- environmental assessment --- anthropogenic spatial entities --- knowledge creation --- healthcare organizations --- hospital --- organizational learning --- sustainable knowledge management --- strategy --- validation --- questionnaire --- quality of care --- renewable energy sources --- energy policy --- SWOT analysis --- multi-criteria analysis --- AHP --- fuzzy TOPSIS --- Morocco --- Egypt --- strategic environmental assessment --- strategic environmental impact assessment --- methods --- techniques --- Greece --- MCDM --- fuzzy AHP --- PRAT --- FTA --- time-series --- risk assessment --- OSH --- telecom technical projects --- constructions --- carrying capacity --- regional sustainability assessment --- ecological footprint --- national park --- risk management --- performance assessment --- performance management --- performance evaluation --- earned value analysis --- construction projects --- fuzzy numbers

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