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Historically, Risk Management has usually been fragmented in silos. There clearly was a trend to split the risks in distinct, mutually exclusive categories whereas an event can impact several business areas at a time. Every company has to face different types of risks and has to learn how to control them. No matter the approach used by those companies for the risk management, they have to find the balance between the risk and the opportunity caused by a same event. Risk Management is a response to the problem of a categorization approach in a world where the risk has become more important, more complex, more diversified and more dynamic. The goal of the Risk Management process is mainly to facilitate continual improvement and to enhance the organization's efficiency. AmplyCell, a young start up in biotechnology, accepted that challenge. According to the ISO31000:2009 - Risk management – Guidelines, the risk management should be split into 5 parts : 1. Establishing the context: The first stage consists in understanding the environment in which the company is active and how that company is interacting with it. 2. Risk Identification: The second stage consists in detecting the different types of risk that might jeopardize the achievement of the company’s objectives. 3. Risk Analysis: The third stage consists in determining the probability and the gravity of the materialization of the risk identified in the previous stage 4. Risk Evaluation: The fourth stage consists in creating a ranking of the different risks, from the most critical to the less critical 5. Risk Treatment: The last stage uses all the outputs from the previous stages to determine the best-suited solution to the most critical risks Those 5 stages have to be supported by an extra stage (the monitoring and control) to ensure that the in-depth approved solutions will be implemented correctly. If the company truly executes the stages of the Risk Management process, they will have developed a dynamic tool to ensure value creation and the improvement of the organization.
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Operational risk management is nowadays considered as crucial in the management of any organization. In a complex world, it is necessary to control the threats facing the company to ensure its stability, minimize its losses and protect its image. The purpose of my project thesis is to raise awareness of operational risk management among all employees of a recognised Belgian ready-to-wear SME, J&JOY. The analysis presented is a snapshot of the situation encountered during the internship from January to May. As risks are constantly evolving, the proposals will have to be continuously adapted to the new realities facing the company. First, the company's processes are mapped to better understand the possible origins of threats in daily activities. The second step lists the risks by department using a double taxonomy. The third part of the analysis is devoted to prioritizing the risks identified by assessing their criticality both in terms of their probability and their impact. Finally, practical recommendations are proposed to enable J&JOY to control the risks assessed as critical against the backdrop of the risk treatments provided for in Prince 2. A risk management program requires that the company has relevant information and an effective communication system. The data collected must be transmitted to internal actors so that they can meet their responsibilities. Communication must allow everyone to understand what is expected of them. The establishment of a formal risk management monitoring procedure is necessary to ensure that the actions planned are effective and efficient. The measures decided upon will have no effect if the internal actors do not adhere to them. Risk management is a permanent process that must be applied throughout the company. It must be implemented by all levels of the organization. A corporate culture that facilitates communication around failures and focuses on customer satisfaction can contribute to this common focus. Management should facilitate discussion of risks rather than scanning for uncertainties or failure signals.
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The Life cycle cost (LCC) method makes it possible for the whole life performance of buildings and other structures to be optimized. The introduction of the idea of thinking in terms of a building life cycle resulted in the need to use appropriate tools and techniques for assessing and analyzing costs throughout the life cycle of the building. Traditionally, estimates of LCC have been calculated based on historical analysis of data and have used deterministic models. The concepts of probability theory can also be applied to life cycle costing, treating the costs and timings as a stochastic process. If any subjectivity is introduced into the estimates, then the uncertainty cannot be handled using the probability theory alone. The theory of fuzzy sets is a valuable tool for handling such uncertainties. In this Special Issue, a collection of 11 contributions provide an updated overview of the approaches for estimating the life cycle cost of buildings.
dynamic analysis --- steel frames --- Tuned Mass Damper --- optimization --- drift ratio --- sustainable construction industry --- lifecycles --- European Union Member States --- complex evaluation --- multiple criteria analysis --- COPRAS and INVAR methods --- success and image of a country --- marketing --- residential buildings --- defects --- intensity --- reliability --- technical wear --- railway infrastructure --- occurrences --- socioeconomic impact --- economic evaluation --- CBA --- life cycle --- investment project --- probability distribution --- sensitivity analyses --- risk assessment --- tenement houses --- damage --- maintenance --- fuzzy sets --- Bayes conditional probability --- substitution --- operation and maintenance phase --- cause–effect relationships --- historical buildings --- implementation factors --- information and communication technology --- life cycle costs --- buildings --- bidding decision --- LCC criterion --- price criterion --- construction --- statistical method --- classification --- probability of winning --- risk identification --- MCDM --- critical risk factors --- commercial and recreational complex building projects
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This book brings together recent research related to urban resilience, in particular, taking into account climate change impacts and hydrological hazards. Due to the complexity of our cities, which are vulnerable and continuously evolving systems, urban resilience should be considered as a transversal and multi-sectorial issue, affecting different urban services, several hazards, and all the steps of the risk management cycle. Within this context, the different pieces of research that form this book deal with the topics of multi-risk and urban resilience assessment, analysis of cascading effects, and the proposal and prioritization of adaptation measures and strategies to cope with climate-related hazards through multi-criteria analysis.
Research & information: general --- RESCCUE project --- Electrical distribution network --- Flooding --- Risk Assessment --- city resiliency --- GIS model --- drought --- water scarcity --- water availability --- climate change --- hydrological modeling --- resilience --- flooding --- hazard mapping --- risk identification --- sustainability --- urban resilience --- traffic modelling --- resilience assessment --- urban services --- cities --- Ecosystem Services (ES) --- Nature-Based Solutions (NBS) --- Resilience Assessment Framework (RAF) --- stakeholders' validation --- stormwater management and control --- depth‒damage curves --- urban floods --- properties --- claims --- flood expert surveyor --- fluvial --- pluvial --- tidal --- sewer --- flood --- risk --- modelling --- cascading effects --- urban flood --- water quality --- cost-benefit analysis --- combined sewer overflows --- climate change adaptation --- climate risk --- socio-economic assessment --- flood risk assessment --- 1D/2D hydrodynamic model --- Metro system --- subway --- urban mobility --- pluvial floods --- 1D/2D coupled models --- impact assessment --- adaptation strategies --- RESCCUE project --- Electrical distribution network --- Flooding --- Risk Assessment --- city resiliency --- GIS model --- drought --- water scarcity --- water availability --- climate change --- hydrological modeling --- resilience --- flooding --- hazard mapping --- risk identification --- sustainability --- urban resilience --- traffic modelling --- resilience assessment --- urban services --- cities --- Ecosystem Services (ES) --- Nature-Based Solutions (NBS) --- Resilience Assessment Framework (RAF) --- stakeholders' validation --- stormwater management and control --- depth‒damage curves --- urban floods --- properties --- claims --- flood expert surveyor --- fluvial --- pluvial --- tidal --- sewer --- flood --- risk --- modelling --- cascading effects --- urban flood --- water quality --- cost-benefit analysis --- combined sewer overflows --- climate change adaptation --- climate risk --- socio-economic assessment --- flood risk assessment --- 1D/2D hydrodynamic model --- Metro system --- subway --- urban mobility --- pluvial floods --- 1D/2D coupled models --- impact assessment --- adaptation strategies
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The Life cycle cost (LCC) method makes it possible for the whole life performance of buildings and other structures to be optimized. The introduction of the idea of thinking in terms of a building life cycle resulted in the need to use appropriate tools and techniques for assessing and analyzing costs throughout the life cycle of the building. Traditionally, estimates of LCC have been calculated based on historical analysis of data and have used deterministic models. The concepts of probability theory can also be applied to life cycle costing, treating the costs and timings as a stochastic process. If any subjectivity is introduced into the estimates, then the uncertainty cannot be handled using the probability theory alone. The theory of fuzzy sets is a valuable tool for handling such uncertainties. In this Special Issue, a collection of 11 contributions provide an updated overview of the approaches for estimating the life cycle cost of buildings.
Technology: general issues --- dynamic analysis --- steel frames --- Tuned Mass Damper --- optimization --- drift ratio --- sustainable construction industry --- lifecycles --- European Union Member States --- complex evaluation --- multiple criteria analysis --- COPRAS and INVAR methods --- success and image of a country --- marketing --- residential buildings --- defects --- intensity --- reliability --- technical wear --- railway infrastructure --- occurrences --- socioeconomic impact --- economic evaluation --- CBA --- life cycle --- investment project --- probability distribution --- sensitivity analyses --- risk assessment --- tenement houses --- damage --- maintenance --- fuzzy sets --- Bayes conditional probability --- substitution --- operation and maintenance phase --- cause–effect relationships --- historical buildings --- implementation factors --- information and communication technology --- life cycle costs --- buildings --- bidding decision --- LCC criterion --- price criterion --- construction --- statistical method --- classification --- probability of winning --- risk identification --- MCDM --- critical risk factors --- commercial and recreational complex building projects --- dynamic analysis --- steel frames --- Tuned Mass Damper --- optimization --- drift ratio --- sustainable construction industry --- lifecycles --- European Union Member States --- complex evaluation --- multiple criteria analysis --- COPRAS and INVAR methods --- success and image of a country --- marketing --- residential buildings --- defects --- intensity --- reliability --- technical wear --- railway infrastructure --- occurrences --- socioeconomic impact --- economic evaluation --- CBA --- life cycle --- investment project --- probability distribution --- sensitivity analyses --- risk assessment --- tenement houses --- damage --- maintenance --- fuzzy sets --- Bayes conditional probability --- substitution --- operation and maintenance phase --- cause–effect relationships --- historical buildings --- implementation factors --- information and communication technology --- life cycle costs --- buildings --- bidding decision --- LCC criterion --- price criterion --- construction --- statistical method --- classification --- probability of winning --- risk identification --- MCDM --- critical risk factors --- commercial and recreational complex building projects
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The Life cycle cost (LCC) method makes it possible for the whole life performance of buildings and other structures to be optimized. The introduction of the idea of thinking in terms of a building life cycle resulted in the need to use appropriate tools and techniques for assessing and analyzing costs throughout the life cycle of the building. Traditionally, estimates of LCC have been calculated based on historical analysis of data and have used deterministic models. The concepts of probability theory can also be applied to life cycle costing, treating the costs and timings as a stochastic process. If any subjectivity is introduced into the estimates, then the uncertainty cannot be handled using the probability theory alone. The theory of fuzzy sets is a valuable tool for handling such uncertainties. In this Special Issue, a collection of 11 contributions provide an updated overview of the approaches for estimating the life cycle cost of buildings.
Technology: general issues --- dynamic analysis --- steel frames --- Tuned Mass Damper --- optimization --- drift ratio --- sustainable construction industry --- lifecycles --- European Union Member States --- complex evaluation --- multiple criteria analysis --- COPRAS and INVAR methods --- success and image of a country --- marketing --- residential buildings --- defects --- intensity --- reliability --- technical wear --- railway infrastructure --- occurrences --- socioeconomic impact --- economic evaluation --- CBA --- life cycle --- investment project --- probability distribution --- sensitivity analyses --- risk assessment --- tenement houses --- damage --- maintenance --- fuzzy sets --- Bayes conditional probability --- substitution --- operation and maintenance phase --- cause–effect relationships --- historical buildings --- implementation factors --- information and communication technology --- life cycle costs --- buildings --- bidding decision --- LCC criterion --- price criterion --- construction --- statistical method --- classification --- probability of winning --- risk identification --- MCDM --- critical risk factors --- commercial and recreational complex building projects
Choose an application
This book brings together recent research related to urban resilience, in particular, taking into account climate change impacts and hydrological hazards. Due to the complexity of our cities, which are vulnerable and continuously evolving systems, urban resilience should be considered as a transversal and multi-sectorial issue, affecting different urban services, several hazards, and all the steps of the risk management cycle. Within this context, the different pieces of research that form this book deal with the topics of multi-risk and urban resilience assessment, analysis of cascading effects, and the proposal and prioritization of adaptation measures and strategies to cope with climate-related hazards through multi-criteria analysis.
Research & information: general --- RESCCUE project --- Electrical distribution network --- Flooding --- Risk Assessment --- city resiliency --- GIS model --- drought --- water scarcity --- water availability --- climate change --- hydrological modeling --- resilience --- flooding --- hazard mapping --- risk identification --- sustainability --- urban resilience --- traffic modelling --- resilience assessment --- urban services --- cities --- Ecosystem Services (ES) --- Nature-Based Solutions (NBS) --- Resilience Assessment Framework (RAF) --- stakeholders’ validation --- stormwater management and control --- depth‒damage curves --- urban floods --- properties --- claims --- flood expert surveyor --- fluvial --- pluvial --- tidal --- sewer --- flood --- risk --- modelling --- cascading effects --- urban flood --- water quality --- cost-benefit analysis --- combined sewer overflows --- climate change adaptation --- climate risk --- socio-economic assessment --- flood risk assessment --- 1D/2D hydrodynamic model --- Metro system --- subway --- urban mobility --- pluvial floods --- 1D/2D coupled models --- impact assessment --- adaptation strategies --- n/a --- stakeholders' validation
Choose an application
This book brings together recent research related to urban resilience, in particular, taking into account climate change impacts and hydrological hazards. Due to the complexity of our cities, which are vulnerable and continuously evolving systems, urban resilience should be considered as a transversal and multi-sectorial issue, affecting different urban services, several hazards, and all the steps of the risk management cycle. Within this context, the different pieces of research that form this book deal with the topics of multi-risk and urban resilience assessment, analysis of cascading effects, and the proposal and prioritization of adaptation measures and strategies to cope with climate-related hazards through multi-criteria analysis.
RESCCUE project --- Electrical distribution network --- Flooding --- Risk Assessment --- city resiliency --- GIS model --- drought --- water scarcity --- water availability --- climate change --- hydrological modeling --- resilience --- flooding --- hazard mapping --- risk identification --- sustainability --- urban resilience --- traffic modelling --- resilience assessment --- urban services --- cities --- Ecosystem Services (ES) --- Nature-Based Solutions (NBS) --- Resilience Assessment Framework (RAF) --- stakeholders’ validation --- stormwater management and control --- depth‒damage curves --- urban floods --- properties --- claims --- flood expert surveyor --- fluvial --- pluvial --- tidal --- sewer --- flood --- risk --- modelling --- cascading effects --- urban flood --- water quality --- cost-benefit analysis --- combined sewer overflows --- climate change adaptation --- climate risk --- socio-economic assessment --- flood risk assessment --- 1D/2D hydrodynamic model --- Metro system --- subway --- urban mobility --- pluvial floods --- 1D/2D coupled models --- impact assessment --- adaptation strategies --- n/a --- stakeholders' validation
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This Book is a Printed Edition of the Special Issue which covers sustainability as an emerging requirement in the fields of construction management, project management and engineering. We invited authors to submit their theoretical or experimental research articles that address the challenges and opportunities for sustainable construction in all its facets, including technical topics and specific operational or procedural solutions, as well as strategic approaches aimed at the project, company or industry level. Central to developments are smart technologies and sophisticated decision-making mechanisms that augment sustainable outcomes. The Special Issue was received with great interest by the research community and attracted a high number of submissions. The selection process sought to balance the inclusion of a broad representative spread of topics against research quality, with editors and reviewers settling on thirty-three articles for publication. The Editors invite all participating researchers and those interested in sustainable construction engineering and management to read the summary of the Special Issue and of course to access the full-text articles provided in the Book for deeper analyses.
Technology: general issues --- building information modeling --- project owner --- attitude --- behavior --- technology acceptance model --- BIM --- information model --- bridge --- maintenance --- management system --- Public–private partnership (PPP) --- risk identification --- risk relationship --- triangular fuzzy number --- ISM --- MICMAC --- data collection system --- worker’s smartphone --- concrete temperature monitoring --- high-rise building construction --- sustainable roles --- LEED --- contractors --- Vietnam --- bridge deterioration --- prediction model --- semi-Markov process --- Weibull-distribution --- condition rating --- sustainable construction project management (SCPM) --- sustainable performance evaluation --- set pair analysis --- informatization --- greenization --- Guangzhou metro --- China --- time management --- delay management --- mitigation strategy --- owner perspective --- contractor perspective --- power construction project --- Tanzania --- knowledge transfer --- safety behavior --- safety management --- construction site --- structural equation modeling (SEM) --- building information modeling (BIM) --- building performance assessment (BPA) --- key performance indicators (KPIs) --- facility management (FM) --- operation and maintenance (O& --- M) --- operating room (OR) --- defects liability period --- risk matrix --- residential buildings --- loss distribution approach --- decision tree --- analytic hierarchy process --- dynamic programming --- sustainable investment --- project participants’ behaviour --- roof installation projects --- modular construction --- rework --- integrated design process --- dependency structure matrix (DSM) --- process optimization --- sustainability --- green building --- delay sources --- risk management --- random forest-genetic algorithm --- computer aid --- construction project --- bridge construction --- risk analysis --- loss assessment model --- third-party damage --- insurance --- sensitivity analysis --- uncertainty modelling --- load action --- resistance --- limit states --- stochastic simulation --- failure probability --- structural reliability --- correlations --- linguistic action indicators --- last planner system --- linguistic action perspective --- resource-dependent activity relationship --- scheduling --- scheduling software --- Microsoft Excel Visual Basic for Applications (MS Excel VBA) --- rework causes --- SWARA method --- time --- project success --- building projects --- sustainable construction --- value management --- exploratory factor analysis --- construction management --- green building materials (GBMs) --- building industry --- Sustainable Development Goals (SDGs) --- construction industry --- MCDM --- COPRAS method --- real case study --- enterprise competitiveness --- organizational flexibility --- organizational innovation --- modernization of construction industry --- structural equation modeling --- natural language processing --- construction data management --- machine learning --- thermal insulation --- multi criteria analysis --- SALSA --- buildings --- Renovation Wave --- sustainable highway construction --- sustainability indicators --- triangular intuitionistic fuzzy --- multi-criteria decision-making --- entropy measure --- risk attitudes --- organizational learning --- fly ash --- geopolymer --- environment --- sustainable --- construction --- public private partnership --- critical success factors --- fuzzy synthetic evaluation --- project governance --- maintenance, repair, and rehabilitation (MR& --- R) --- inspection --- optimization --- infrastructure --- decision making --- life cycle assessment --- materials --- greenhouse --- digital transformation --- digital technology --- strategy --- change management --- project assessment --- sustainability criteria --- construction projects --- decision robustness --- risk process --- project management --- IDEF0 --- risk system implementation --- design --- smart technologies --- decision-making methods
Choose an application
This Book is a Printed Edition of the Special Issue which covers sustainability as an emerging requirement in the fields of construction management, project management and engineering. We invited authors to submit their theoretical or experimental research articles that address the challenges and opportunities for sustainable construction in all its facets, including technical topics and specific operational or procedural solutions, as well as strategic approaches aimed at the project, company or industry level. Central to developments are smart technologies and sophisticated decision-making mechanisms that augment sustainable outcomes. The Special Issue was received with great interest by the research community and attracted a high number of submissions. The selection process sought to balance the inclusion of a broad representative spread of topics against research quality, with editors and reviewers settling on thirty-three articles for publication. The Editors invite all participating researchers and those interested in sustainable construction engineering and management to read the summary of the Special Issue and of course to access the full-text articles provided in the Book for deeper analyses.
building information modeling --- project owner --- attitude --- behavior --- technology acceptance model --- BIM --- information model --- bridge --- maintenance --- management system --- Public–private partnership (PPP) --- risk identification --- risk relationship --- triangular fuzzy number --- ISM --- MICMAC --- data collection system --- worker’s smartphone --- concrete temperature monitoring --- high-rise building construction --- sustainable roles --- LEED --- contractors --- Vietnam --- bridge deterioration --- prediction model --- semi-Markov process --- Weibull-distribution --- condition rating --- sustainable construction project management (SCPM) --- sustainable performance evaluation --- set pair analysis --- informatization --- greenization --- Guangzhou metro --- China --- time management --- delay management --- mitigation strategy --- owner perspective --- contractor perspective --- power construction project --- Tanzania --- knowledge transfer --- safety behavior --- safety management --- construction site --- structural equation modeling (SEM) --- building information modeling (BIM) --- building performance assessment (BPA) --- key performance indicators (KPIs) --- facility management (FM) --- operation and maintenance (O& --- M) --- operating room (OR) --- defects liability period --- risk matrix --- residential buildings --- loss distribution approach --- decision tree --- analytic hierarchy process --- dynamic programming --- sustainable investment --- project participants’ behaviour --- roof installation projects --- modular construction --- rework --- integrated design process --- dependency structure matrix (DSM) --- process optimization --- sustainability --- green building --- delay sources --- risk management --- random forest-genetic algorithm --- computer aid --- construction project --- bridge construction --- risk analysis --- loss assessment model --- third-party damage --- insurance --- sensitivity analysis --- uncertainty modelling --- load action --- resistance --- limit states --- stochastic simulation --- failure probability --- structural reliability --- correlations --- linguistic action indicators --- last planner system --- linguistic action perspective --- resource-dependent activity relationship --- scheduling --- scheduling software --- Microsoft Excel Visual Basic for Applications (MS Excel VBA) --- rework causes --- SWARA method --- time --- project success --- building projects --- sustainable construction --- value management --- exploratory factor analysis --- construction management --- green building materials (GBMs) --- building industry --- Sustainable Development Goals (SDGs) --- construction industry --- MCDM --- COPRAS method --- real case study --- enterprise competitiveness --- organizational flexibility --- organizational innovation --- modernization of construction industry --- structural equation modeling --- natural language processing --- construction data management --- machine learning --- thermal insulation --- multi criteria analysis --- SALSA --- buildings --- Renovation Wave --- sustainable highway construction --- sustainability indicators --- triangular intuitionistic fuzzy --- multi-criteria decision-making --- entropy measure --- risk attitudes --- organizational learning --- fly ash --- geopolymer --- environment --- sustainable --- construction --- public private partnership --- critical success factors --- fuzzy synthetic evaluation --- project governance --- maintenance, repair, and rehabilitation (MR& --- R) --- inspection --- optimization --- infrastructure --- decision making --- life cycle assessment --- materials --- greenhouse --- digital transformation --- digital technology --- strategy --- change management --- project assessment --- sustainability criteria --- construction projects --- decision robustness --- risk process --- project management --- IDEF0 --- risk system implementation --- design --- smart technologies --- decision-making methods
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