Decision Support for Dynamic Barrier Management: Enhancing Safety and Regulatory Compliance Assessment for Offshore Operations

2016 ◽  
Author(s):  
William R. Nelson
Keyword(s):  
Decision Support ◽  
Regulatory Compliance ◽  
Compliance Assessment ◽  
Offshore Operations

A Decision Support System for Privacy Compliance

2012 ◽  
pp. 158-180 ◽  
Author(s):  
Siani Pearson ◽  
Tomas Sander
Keyword(s):  
Risk Assessment ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Personal Information ◽  
Regulatory Compliance ◽  
Privacy Management ◽  
Privacy Risk ◽  
Global Company

Regulatory compliance in areas such as privacy has become a major challenge for organizations. In large organizations there can be hundreds or thousands of projects that involve personal information. Ensuring that all those projects properly take privacy considerations into account is a complex challenge for accountable privacy management. Accountable privacy management requires that an organization makes sure that all relevant projects are in compliance and that there is evidence and assurance that this actually is the case. To date, there has been no suitable automated, scalable support for accountable privacy management; it is such a tool that the authors describe in this chapter. Specifically, they describe a privacy risk assessment and compliance tool which they are developing and rolling out within a large, global company – called HP Privacy Advisor (HP PA) – and its generalisation and extension. The authors also bring out those security, privacy, risk, and trust-related aspects they have been researching related to this work in particular.

A Decision Support System for Privacy Compliance

Data Mining ◽  
2013 ◽  
pp. 1496-1518 ◽  
Author(s):  
Siani Pearson ◽  
Tomas Sander
Keyword(s):  
Risk Assessment ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Personal Information ◽  
Regulatory Compliance ◽  
Privacy Management ◽  
Privacy Risk ◽  
Global Company

Regulatory compliance in areas such as privacy has become a major challenge for organizations. In large organizations there can be hundreds or thousands of projects that involve personal information. Ensuring that all those projects properly take privacy considerations into account is a complex challenge for accountable privacy management. Accountable privacy management requires that an organization makes sure that all relevant projects are in compliance and that there is evidence and assurance that this actually is the case. To date, there has been no suitable automated, scalable support for accountable privacy management; it is such a tool that the authors describe in this chapter. Specifically, they describe a privacy risk assessment and compliance tool which they are developing and rolling out within a large, global company – called HP Privacy Advisor (HP PA) – and its generalisation and extension. The authors also bring out those security, privacy, risk, and trust-related aspects they have been researching related to this work in particular.

Critical Situations of Vessel Operations in Short Crested Seas—Forecast and Decision Support System

2012 ◽  
Vol 134 (3) ◽  
Author(s):  
Günther F. Clauss ◽  
Sascha Kosleck ◽  
Daniel Testa
Keyword(s):  
Decision Support ◽  
Pressure Distribution ◽  
Special Focus ◽  
Extreme Waves ◽  
Incoming Wave ◽  
Sea Transport ◽  
Wave Forecast ◽  
The Impact ◽  
Critical Situations ◽  
Offshore Operations

The encounter of extreme waves, extreme wave groups, or unfavorable wave sequences poses dangerous threats for ships and floating/stationary marine structures. The impact of extreme waves causes enormous forces, whereas an unfavorable wave sequence—not necessarily extreme waves—can arouse critical motions or even resonance, often leading to loss of cargo, ship, or crew. Thus, besides a well thought-out maritime design, a system detecting critical incoming wave sequences in advance can help avoiding those dangerous situations, increasing the safety of sea transport or offshore operations. During the last two years a new system for decision support onboard a ship or floating/fixed marine structure named CASH—Computer Aided Ship Handling—has been introduced. The preceding papers showed the step wise development of the main components of the program code—3d-wave forecast and 3d-ship motion forecast. These procedures provide a deterministic approach to predict the short crested seas state within radar range of the ship, as well as resulting ship motions in six degrees of freedom. Both methods have been enhanced with special focus on the speed of calculation to ensure a just-in-time forecast. A newly developed component is the adaptive 3d-pressure distribution. This method calculates the pressure distribution along the wetted surface of the ship hull using a newly developed stretching approach. With the end of the joint project Loads on Ships in Seaway (LaSSe), (funded by the German Government) the paper presents the CASH system, giving the possibility to detect critical situations in advance. Thus not only decision support onboard a cruising ship can be provided, but also time windows for offshore operations are identified well in advance.

Data Management for Integrity Decision Support

2004 ◽  
Author(s):  
Ed Wiegele ◽  
David Nemeth ◽  
Shahani Kariyawasam ◽  
Stuart Clouston
Keyword(s):  
Decision Support ◽  
Data Management ◽  
Low Cost ◽  
Data Access ◽  
Regulatory Compliance ◽  
Data Management System ◽  
Legacy Data ◽  
Day To Day Operations ◽  
The Right ◽  
Decision Support Process

Within most pipeline organizations, maintenance and other facility departments use a range of separate data sources and applications to manage the integrity, maintenance and safety of their pipelines. These databases represent a significant investment over many years and are an integral part of day-to-day operations. It is evident that integration of data into a single, coherent data management system can provide significant benefits. However, the cost of implementing entirely new systems — with intensive data capture programs — is difficult to justify given the earlier investments. As a result, dedicated risk management software using static and separately maintained data is often used as a quick, low cost alternative to meet regulatory compliance commitments. Experience has shown that, with the right technology and an understanding of the specific needs of an organisation, a phased approach to integrated data management can be achieved at minimum initial cost by exploiting legacy data. This provides a low cost yet scalable solution that can grow with the changing needs of the business. In addition to the benefits of legacy data integration, this paper presents an insight into the additional benefits of technologies for distributed data access to provide simple, process-focussed reporting tools. The key role of data management in risk assessment and consequent integrity decision support process is discussed.

Decision Support for Offshore Operations in Remote Arctic Areas TOSC: An Optimization Toolbox Based on Bayesian Networks

2009 ◽  
Author(s):  
Johannes Hu¨ffmeier ◽  
Bjo¨rn Forsman ◽  
Jim Sandkvist ◽  
Johan Rafstedt
Keyword(s):  
Decision Support ◽  
Bayesian Networks ◽  
Emergency Preparedness ◽  
Cost Benefit ◽  
Decision Support Tool ◽  
Service Needs ◽  
Support Tool ◽  
Analysis Methodology ◽  
Close Cooperation ◽  
Offshore Operations

SSPA Sweden AB has developed a decision support tool for Arctic offshore operations in close cooperation with the ship owner Transatlantic. With their icebreaking offshore supply vessels, Transatlantic has experience in both offshore operations and ice breaking for the Swedish Maritime Administration, which gives them a unique competence for Arctic offshore tasks. Founded on these experiences SSPA has created a toolbox based on Bayesian networks to provide the decision maker with the required competence to plan, dimension and organise offshore operations. The demands on the model given by Transatlantic for this tool were to include an accurate planning possibility, it should be handy and flexible, successively extendable, based scientifically and it should reflect the operators experience and even experience transfer. The developed tool is based on so called Bayesian Networks. With the help of the graphical directed arrows it is possible to describe complex links and relations between: - specific customer demands and service needs, - supply tasks, icebreaking management, anchor handling, towing, etc., - local external environmental conditions, ice, weather, - surrounding infrastructure, base harbours, transports, - external requirements, national rules, permissions, classification requirements, - possible abnormalities, undesired events, danger of accident, - emergency preparedness, redundant resources, - resources, vessels in use, land-based resources, helicopters, etc. By combining risk analysis methodology, statistics and expert judgements the tool belays and incorporates high safety, cost-benefit, well-reasoned strategies, alternative plans of action and purposive solutions.

Critical Situations of Vessel Operations in Short Crested Seas: Forecast and Decision Support System

2009 ◽  
Author(s):  
Gu¨nther F. Clauss ◽  
Sascha Kosleck ◽  
Daniel Testa
Keyword(s):  
Decision Support ◽  
Pressure Distribution ◽  
Special Focus ◽  
Extreme Waves ◽  
Incoming Wave ◽  
Sea Transport ◽  
Wave Forecast ◽  
The Impact ◽  
Critical Situations ◽  
Offshore Operations

The encounter of extreme waves, extreme wave groups or of unfavourable wave sequences is a dangerous thread for ships and floating/fixed marine structures. The impact of extreme waves causes enormous forces whereas the encounter of an unfavourable wave sequence — not necessarily extreme waves — can arouse critical motions or even resonance, often leading to loss of cargo, ship and crew. Thus, besides a well thought-out maritime design, a system detecting critical incoming wave sequences in advance can help avoiding those dangerous situations, increasing the safety of sea transport or offshore operations. During the last two years (see [1] and [2]) a new system for decision support on board a ship or floating/fixed marine structure named CASH — Computer Aided Ship Handling — has been introduced. The preceding papers showed the step wise development of the main components of the program code — 3D–WAVE FORECAST and 3D–SHIP MOTION FORECAST. These procedures provide a deterministic approach to predict the short-crested seas state within radar range of the ship, as well as resulting ship motions in 6 degrees of freedom. Both methods have been enhanced with special focus on the speed of calculation to ensure a just-in-time forecast. A newly developed component is the ADAPTIVE 3D-PRESSURE DISTRIBUTION. This method calculates the pressure distribution along the wetted surface of the ship hull using a newly developed stretching approach [3]. With the end of the joint project LaSSe — Loads on Ships in Seaway (funded by the German Government) the paper presents the CASH-system, giving the possibility to detect critical situations in advance. Thus not only decision support on board a cruising ship can be provided, but also time windows for offshore operations are identified well in advance.

Communication Disordered: Program Implementation in Long-Term Care

2016 ◽  
Vol 1 (15) ◽  
pp. 64-67
Author(s):  
George Barnes ◽  
Joseph Salemi
Keyword(s):  
Program Implementation ◽  
Long Term Care ◽  
Family Satisfaction ◽  
Regulatory Compliance ◽  
Care Staff ◽  
Term Care ◽  
Staff Members ◽  
Change Policy

The organizational structure of long-term care (LTC) facilities often removes the rehab department from the interdisciplinary work culture, inhibiting the speech-language pathologist's (SLP's) communication with the facility administration and limiting the SLP's influence when implementing clinical programs. The SLP then is unable to change policy or monitor the actions of the care staff. When the SLP asks staff members to follow protocols not yet accepted by facility policy, staff may be unable to respond due to confusing or conflicting protocol. The SLP needs to involve members of the facility administration in the policy-making process in order to create successful clinical programs. The SLP must overcome communication barriers by understanding the needs of the administration to explain how staff compliance with clinical goals improves quality of care, regulatory compliance, and patient-family satisfaction, and has the potential to enhance revenue for the facility. By taking this approach, the SLP has a greater opportunity to increase safety, independence, and quality of life for patients who otherwise may not receive access to the appropriate services.

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