Applying Best Practical Environmental Optioneering (BPEO) to a Complex Clean Up Programme: A Ponds and Silos Case Study

2009 ◽  
Author(s):  
Simon Candy
Keyword(s):  
Decision Making ◽  
Nuclear Waste ◽  
Informed Decision ◽  
Nuclear Industry ◽  
Waste Stream ◽  
Informed Decision Making ◽  
Nuclear Wastes ◽  
Waste Streams ◽  
Selection Of

The use of Best Practical Environmental Optioneering (BPEO) has long been part of informed decision making within the Nuclear Industry. However, BPEO has typically been applied to specific and discrete objectives, for example the selection of a technology to treat a particular nuclear waste stream. While this has sometimes been extended to cover a number of objectives, no one had applied BPEO to a programme of the size and complexity of that associated with Legacy Ponds & Silos at Sellafield. The programme, spanning more than 30 years, includes a range of different objectives covering ongoing management, recovery, conditioning, storage and ultimately disposal of nuclear wastes. This range of activities is applied across a number of facilities containing multiple, significant waste streams. This paper explains how BPEO was applied to the Legacy Ponds & Silos programme and discussed some of the learning resulting from that exercise.

scholarly journals Convergent analytics and informed decision-making: A retrospective multimethod case study project in Kenya

2017 ◽  
Vol 6 (2) ◽  
pp. 214-225
Author(s):  
Irene Podolak ◽  
Anteneh Ayanso ◽  
Maureen Connolly ◽  
Madelyn Law ◽  
Jarold Cosby
Keyword(s):  
Decision Making ◽  
Informed Decision ◽  
Informed Decision Making

scholarly journals Organizational impact of evidence-informed decision making training initiatives: a case study comparison of two approaches

2014 ◽  
Vol 9 (1) ◽  
Author(s):  
François Champagne ◽  
Louise Lemieux-Charles ◽  
Marie-France Duranceau ◽  
Gail MacKean ◽  
Trish Reay
Keyword(s):  
Decision Making ◽  
Informed Decision ◽  
Informed Decision Making ◽  
Organizational Impact

Integrity Risk-Informed Decision Making

2018 ◽  
Author(s):  
Sherif Hassanien ◽  
Doug Langer ◽  
Mona Abdolrazaghi
Keyword(s):  
Decision Making ◽  
Safety Management ◽  
Informed Decision ◽  
Nuclear Industry ◽  
Optimal Decision ◽  
Decision Making Process ◽  
Informed Decision Making ◽  
Safety Critical ◽  
Formal Framework ◽  
Integrity Risk

Over the last three decades, safety-critical industries (e.g. Nuclear, Aviation) have witnessed an evolution from risk-based to risk-informed safety management approaches, in which quantitative risk assessment is only one component of the decision making process. While the oil and gas pipeline industry has recently made several advancements towards safety management processes, their safety performance may still be seen to fall below the expected level achieved by other safety-critical industries. The intent of this paper is to focus on the safety decision making process within pipeline integrity management systems. Pipeline integrity rules, routines, and procedures are commonly based on regulatory requirements, industry best practices, and engineering experience; where they form “programmed” decisions. Non-programmed safety and business decisions are unique and “usually” unstructured, where solutions are worked out as problems arise. Non-programmed decision making requires more activities towards defining decision alternatives and mutual adjustment by stakeholders in order to reach an optimal decision. Theoretically, operators are expected to be at a maturity level where programmed decisions are ready for most, if not all, of their operational problems. However, such expectations might only cover certain types of threats and integrity situations. Herein, a formal framework for non-programmed integrity decisions is introduced. Two common decision making frameworks; namely, risk-based and risk-informed are briefly discussed. In addition, the paper reviews the recent advances in nuclear industry in terms of decision making, introduces a combined technical and management decision making process called integrity risk-informed decision making (IRIDM), and presents a guideline for making integrity decisions.

System Risk Importance Analysis Using Bayesian Networks

2018 ◽  
Vol 25 (01) ◽  
pp. 1850004 ◽  
Author(s):  
Ali Noroozian ◽  
Reza Baradaran Kazemzadeh ◽  
Seyed Taghi Akhavan Niaki ◽  
Enrico Zio
Keyword(s):  
Decision Making ◽  
Bayesian Networks ◽  
Structural Characteristics ◽  
Informed Decision ◽  
Informed Decision Making ◽  
Risk Modeling ◽  
Modeling And Analysis ◽  
Importance Analysis ◽  
System Risk

Importance measures (IMs) are used for risk-informed decision making in system operations, safety, and maintenance. Traditionally, they are computed within fault tree (FT) analysis. Although FT analysis is a powerful tool to study the reliability and structural characteristics of systems, Bayesian networks (BNs) have shown explicit advantages in modeling and analytical capabilities. In this paper, the traditional definitions of IMs are extended to BNs in order to have more capability in terms of system risk modeling and analysis. Implementation results on a case study illustrate the capability of finding the most important components in a system.

Teaching sustainability-informed decision-making based on high-risk dam failure case study

CIM Journal ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 274-281
Author(s):  
D. Beneteau ◽  
K. Chovan ◽  
P. Hughes ◽  
S. Gauthier
Keyword(s):  
Decision Making ◽  
High Risk ◽  
Informed Decision ◽  
Dam Failure ◽  
Informed Decision Making
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