scholarly journals Comprehensive Risk Management in Passive Buildings Projects

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6830
Author(s):  
Maria Krechowicz ◽  
Jerzy Zbigniew Piotrowski
Keyword(s):  
Risk Management ◽  
Global Climate ◽  
Environmental Concerns ◽  
Energy Costs ◽  
Passive House ◽  
Event Risk ◽  
Quality Costs ◽  
Remediation Strategies ◽  
Proposed Model ◽  
Effective Reduction

Nowadays, we can observe a growing interest in passive buildings due to global climate change, environmental concerns, and growing energy costs. However, developing a passive building is associated with meeting many Passive House requirements, which results in their increased complexity as well as many challenges and risks which could threaten the successful completion of the project. Risk management is a key tool enabling meeting today’s challenging passive house project’s demands connected with quality, costs, deadlines, and legal issues. In this paper, a new model of risk management dedicated for passive buildings based is proposed, in which a novel Fuzzy Fault Tree integrated with risk response matrix was developed. We proposed 171 risk remediation strategies for all 16 recognized risks in passive buildings projects. We show how to apply the proposed model in practice on one passive building example. Thanks to applying the proposed risk management model an effective reduction of the risks of the basic event is enabled, leading to a significant reduction of the top event risk. The proposed model is useful for architects, installation designers, contractors, and owners who are willing to develop attainable and successful passive buildings projects that benefit all stakeholders.

Climate Risk Management

2021 ◽  
Vol 49 (1) ◽  
pp. 95-116
Author(s):  
Klaus Keller ◽  
Casey Helgeson ◽  
Vivek Srikrishnan
Keyword(s):  
Risk Management ◽  
Global Climate ◽  
Management Strategies ◽  
Basic Research ◽  
Climate Risk ◽  
Climate Risks ◽  
Trade Offs ◽  
Climate Risk Management ◽  
Risk Management Strategies ◽  
Implementing Strategies

Accelerating global climate change drives new climate risks. People around the world are researching, designing, and implementing strategies to manage these risks. Identifying and implementing sound climate risk management strategies poses nontrivial challenges including ( a) linking the required disciplines, ( b) identifying relevant values and objectives, ( c) identifying and quantifying important uncertainties, ( d) resolving interactions between decision levers and the system dynamics, ( e) quantifying the trade-offs between diverse values under deep and dynamic uncertainties, ( f) communicating to inform decisions, and ( g) learning from the decision-making needs to inform research design. Here we review these challenges and avenues to overcome them. ▪  People and institutions are confronted with emerging and dynamic climate risks. ▪  Stakeholder values are central to defining the decision problem. ▪  Mission-oriented basic research helps to improve the design of climate risk management strategies.

scholarly journals Risk management support through India Remote Sensing Satellites

2014 ◽  
Vol XL-8 ◽  
pp. 1-6
Author(s):  
N. Aparna ◽  
A. V. Ramani ◽  
R. Nagaraja
Keyword(s):  
Remote Sensing ◽  
Risk Management ◽  
Satellite Data ◽  
Global Climate ◽  
Remote Sensing Data ◽  
Temporal Variations ◽  
Geographical Information ◽  
Indian Remote Sensing ◽  
Management Support ◽  
Sensing Data

Remote Sensing along with Geographical Information System (GIS) has been proven as a very important tools for the monitoring of the Earth resources and the detection of its temporal variations. A variety of operational National applications in the fields of Crop yield estimation , flood monitoring, forest fire detection, landslide and land cover variations were shown in the last 25 years using the Remote Sensing data. The technology has proven very useful for risk management like by mapping of flood inundated areas identifying of escape routes and for identifying the locations of temporary housing or a-posteriori evaluation of damaged areas etc. The demand and need for Remote Sensing satellite data for such applications has increased tremendously. This can be attributed to the technology adaptation and also the happening of disasters due to the global climate changes or the urbanization. However, the real-time utilization of remote sensing data for emergency situations is still a difficult task because of the lack of a dedicated system (constellation) of satellites providing a day-to-day revisit of any area on the globe. The need of the day is to provide satellite data with the shortest delay. Tasking the satellite to product dissemination to the user is to be done in few hours. Indian Remote Sensing satellites with a range of resolutions from 1 km to 1 m has been supporting disasters both National & International. In this paper, an attempt has been made to describe the expected performance and limitations of the Indian Remote Sensing Satellites available for risk management applications, as well as an analysis of future systems Cartosat-2D, 2E ,Resourcesat-2R &RISAT-1A. This paper also attempts to describe the criteria of satellite selection for programming for the purpose of risk management with a special emphasis on planning RISAT-1(SAR sensor).

scholarly journals A multi-objective approach under uncertainty for designing a green meat supply chain network

2021 ◽  
Author(s):  
Fatemeh Mohebalizadehgashti
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Mixed Integer ◽  
Environmental Concerns ◽  
Supply Chain Network ◽  
Food Supply Chain ◽  
Multi Objective ◽  
Proposed Model

Traditional logistics management has not focused on environmental concerns when designing and optimizing food supply chain networks. However, the protection of the environment is one of the main factors that should be considered based on environmental protection regulations of countries. In this thesis, environmental concerns with a mathematical model are investigated to design and configure a multi-period, multi-product, multi-echelon green meat supply chain network. A multi-objective mixed-integer linear programming formulation is developed to optimize three objectives simultaneously: minimization of the total cost, minimization of the total CO2 emissions released from transportation, and maximization of the total capacity utilization. To demonstrate the efficiency of the proposed optimization model, a green meat supply chain network for Southern Ontario, Canada is designed. A solution approach based on augmented εε-constraint method is developed for solving the proposed model. As a result, a set of Pareto-optimal solutions is obtained. Finally, the impacts of uncertainty on the proposed model are investigated using several decision trees. Optimization of a food supply chain, particularly a meat supply chain, based on multiple objectives under uncertainty using decision trees is a new approach in the literature. Keywords: Meat supply chain; Decision tree; Multi-objective programming; Mixed-integer linear programming; Augmented εε-constraint.

A Mixture Price Trend Model for Long-Term Risk Management

2010 ◽  
pp. 157-173
Author(s):  
Eric S. Fung ◽  
Wai-Ki Ching ◽  
Tak-Kuen Siu
Keyword(s):  
Risk Management ◽  
Financial Risk ◽  
Estimation Method ◽  
Real Data ◽  
Price Trend ◽  
Trend Model ◽  
Proposed Model ◽  
Price Trends ◽  
Long Term Forecasting

In financial forecasting, a long-standing challenging issue is to develop an appropriate model for forecasting long-term risk management of enterprises. In this chapter, using financial markets as an example, we introduce a mixture price trend model for long-term forecasts of financial asset prices with a view to applying it for long-term financial risk management. The key idea of the mixture price trend model is to provide a general and flexible way to incorporate various price trend behaviors and to extract information from price trends for long-term forecasting. Indeed, the mixture price trend model can incorporate model uncertainty in the price trend model, which is a key element for risk management and is overlooked in some of the current literatures. The mixture price trend model also allows the incorporation of users’ subjective views on long-term price trends. An efficient estimation method is introduced. Statistical analysis of the proposed model based on real data will be conducted to illustrate the performance of the model.

Risk and Security of Information Systems in the Portuguese Financial Sector

2019 ◽  
Vol 8 (4) ◽  
pp. 18-38
Author(s):  
Pedro Fernandes da Anunciação ◽  
Alexandre Miguel Barão Rodrigues
Keyword(s):  
Risk Management ◽  
Information Systems ◽  
Safety Management ◽  
Central Banks ◽  
Safety Standards ◽  
Degree Of Protection ◽  
Financial Activity ◽  
Proposed Model ◽  
Risk Management Process ◽  
Definition Of

This work follows the need of safety standards, update ISO27002:2013, in the major central banks of several European countries. This need has been studied by establishing a focus group that integrated European experts from major central banks. The analysis carried out was supported in the current methodology of information risk management, used by central banks in the safety management of information systems. This methodology is used to analyze and evaluate the adequacy of practices to risk management in the financial activity. The main objective was to present a proposal, sufficiently comprehensive and consistent, to a new risk management process of Information Systems within the European System of Central Banks. And a definition of a practical guide to risk management throughout the different stages of the Information Systems Life Cycle. The proposed model provides a higher degree of protection systems, technologies and information, especially in Central Banks, taking as reference the Portuguese Central Bank.

Impact of risk management culture on supply chain resilience: An empirical study from Indian manufacturing industry

2019 ◽  
Vol 234 (2) ◽  
pp. 246-259 ◽  
Author(s):  
Siva Kumar ◽  
Ramesh Anbanandam
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Future Research ◽  
Supply Chain Disruptions ◽  
Holistic View ◽  
Supply Chain Resilience ◽  
Management Culture ◽  
Proposed Model

The frequency of supply chain disruptions is growing. The recent supply chain disruptions and their costs emphasize the need for resilient supply chains. Therefore, the main purpose of this study is to investigate interactions between critical antecedents of supply chain resilience including risk management culture, supply chain connectivity, visibility, collaboration, agility, their impact on supply chain resilience, and finally on firm performance. Using the same antecedents and literature support, an empirical model has been proposed. The proposed model has been tested using rigorous statistical analysis such as reliability, convergent, and discriminant validity tests. Partial least squares-structural equation modelling has been used to validate the proposed model and the interdependencies between the critical antecedents. An important finding of this research is that organizations, using the proposed model, can develop and improve supply chain resilience capability by establishing the risk management culture through improving the risk awareness among employees and conducting periodic risk assessment exercises. In addition, the study suggests that organizations trying to achieve supply chain resilience must develop sufficient supply chain connectivity and visibility through adopting information and communications technologies and visibility tools for quick response and recovery from supply chain disruptions. Data collected from the Indian manufacturing sector are used to validate the model. The holistic view presented by the proposed model describes the inter-relationships between critical antecedents to achieve supply chain resilience. Concluding remarks and future research avenues have been presented.

THE SCIENCE UNDERLYING THE ISSUE OF CLIMATE CHANGE AND PROSPECTS FOR ADAPTATION

2001 ◽  
Vol 41 (1) ◽  
pp. 689
Author(s):  
C.D. Mitchell ◽  
G.I. Pearman
Keyword(s):  
Climate Change ◽  
Risk Management ◽  
Greenhouse Gas ◽  
Climate Model ◽  
Global Climate ◽  
Regional Climate ◽  
Initial Response ◽  
Lower Atmosphere ◽  
Future Climate Change ◽  
Atmospheric Concentration

The prospect of global-scale changes in climate resulting from changes in atmospheric greenhouse gas concentrations has produced a complex set of public and private- sector responses. This paper reviews several elements of this issue that are likely to be most important to industry.Scientific research continues to provide evidence to suggest that global climate will change significantly over the coming decades due to increases in the atmospheric concentration of greenhouse gases. Nonetheless, there exists a debate over the difference between observations of temperature retrieved from satellite and temperature measurements taken from the surface. Recent research undertaken to inform the debate is discussed, with the conclusion that there are real differences in trend between the surface and the lower atmosphere that can be explained in physical terms. Attention is turning to developing an understanding as to why climate model results show apparently consistent trends between the surface and the lower atmosphere, in contrast to these observations.While such uncertainties in the underlying science have been used to question whether action on the greenhouse issues is necessary, the initial response, as evidenced by international negotiations, has been to start mitigating greenhouse gas emissions. Adaptation to future climate change has received less attention than mitigation. A number of reasons for this are discussed, including the fact that regional scenarios of climate change are uncertain.The principles of risk management may be one way to manage the uncertainties associated with projections of regional climate change. Although the application of risk management to the potential impacts of climate change requires further investigation, elements of such a framework are identified, and include:Identifying the critical climate-related thresholds that are important to industry and its operations (for example, a 1-in-100 year return tropical cyclone).Using this understanding to analyse, and where possible quantify, industry’s pre-existing or baseline adaptive state through the use of sensitivity surfaces and quantified thresholds (for example, were facilities designed for a 1-in-100 event or a 1-in-500 year event?)Establishing probabilistic statements or scenarios of climate that are relevant to industry practice (for example, risk of a storm surge may be more important to operations than elevated wind strength; if so, what is the probability that an event will exceed the design threshold during the lifetime of the facility?).Bringing information on existing adaptive mechanisms together with climate scenarios to produce a quantitative risk assessment.Deciding on risk treatment (additional adaptive measures).

scholarly journals Introducing systemic risk management to engineering consultation industry: A case study

2019 ◽  
Vol 281 ◽  
pp. 04002
Author(s):  
Reem S. AbdAlla ◽  
Fouad Khalaf
Keyword(s):  
Risk Management ◽  
Systemic Risk ◽  
Real Life ◽  
Pilot Project ◽  
Hazard Identification ◽  
Industrial Project ◽  
Project Outcomes ◽  
Proposed Model ◽  
Engineering Consultation ◽  
Project Risks

Engineering consultation industry plays a central role in developing countries. This industry approaches risk management by using a set of practices related to risk which the industrial project are exposed. However, this limited angle does not satisfy the complexity and nature of real life risks. This paper introduces a systemic approach, supposedly to improve handling project risks through better identifying and managing project risks in the engineering consultancy in Egypt. The proposed model supports the holistic concepts of system definition and hazard identification. The model has been applied in one of Egyptian expert houses as a pilot project. Outcomes of this research will allow the engineering consultants to develop/improve performance if the proposed concepts of systemic risk management are applied.

scholarly journals A Study on Construction Risks Prioritization and its Management

2018 ◽  
Vol 7 (3.12) ◽  
pp. 822
Author(s):  
Subramanyam B ◽  
Nycilin Karunya.Nemi Chandran
Keyword(s):  
Risk Management ◽  
Construction Industry ◽  
Construction Projects ◽  
Development Process ◽  
Direct Costs ◽  
Bodily Injury ◽  
Proposed Model ◽  
Model Set ◽  
Management Techniques ◽  
Financial Losses

Construction industry is an important industry and remains so with the continuation of the development process especially in the developing countries. On the other it is very risk and hazard. As industry when compared to other industries financial losses and bodily injury and death, and resulting human, social impacts are more in the case of construction.  Mishaps also contain significant costs that are not insurable. Financial deliberations contains direct costs like medical reimbursement and  hidden costs includes loss of competence by breaking up crew, cost to train fresh or changed employee, damage to equipment and tools, cost experienced by delays. Many researchers have been suggested risk management techniques to minimize the losses in the industry and very few companies may be implemented the suggestions.  The goal of this study is to recognize and rank risks in construction projects. This study proposes the hierarchical dependencies between the criteria. The variations and factors have been investigated via questionnaire and is an element of an on-going research into the application of risk management in major projects. To know the performance and applicable of proposed model set of data collected from different industries by using the informal approaches such as intuition and experiences the study is conducted to prioritize and manage risks. 

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