Social licence: what is really going on out there?

2021 ◽  
Vol 61 (2) ◽  
pp. 371
Author(s):  
Sarah Browne ◽  
John Scales
Keyword(s):  
Real Life ◽  
Design Strategy ◽  
Public Affairs ◽  
Decision Makers ◽  
Digital Analysis ◽  
Gas Industry ◽  
Information Measures ◽  
Community Stakeholders ◽  
Real Community ◽  
Emerging Themes

This extended abstract will explore the real community landscape facing the gas industry and how assessment of independent metrics can better help design strategy, guide investment and provide insight and support to decision makers. It draws on independent polling from JWS Research, comprehensive digital analysis and learnings from 3 years of APPEA’s community engagement program, Brighter. It will provide a comprehensive and up to date industry wide analysis of current community sentiment, influencing factors and effective ways of communicating. It also provides a practical assessment of the application of this information, measures of success and real-life examples. Finally, it identifies emerging themes among the community, stakeholders and media that impact the industry’s social licence and outline APPEA’s approach to the changing public affairs landscape.

scholarly journals Defining Sustainability in the Greater Yellowstone Ecosystem

2018 ◽  
Vol 11 (1) ◽  
pp. 32 ◽  
Author(s):  
Ryan D. Bergstrom
Keyword(s):  
National Parks ◽  
Decision Makers ◽  
Greater Yellowstone Ecosystem ◽  
Community Stakeholders ◽  
Gateway Communities ◽  
Starting Point ◽  
Greater Yellowstone ◽  
Effective Decision Making ◽  
Collective Resource ◽  
Time In Residence

Because of the normative and subjective nature of the terms sustainability and sustainable development, solutions tend to be applicable for specific regions but not the whole of society. Thus, it is imperative understand better how community stakeholders and decision makers define the concept of sustainability. Not only will greater understanding of such definitions add to our understanding of nature-society relations, but also in certain contexts, this understanding may help to promote realistic and effective decision-making at local levels. The objective of this study was to determine how amenity-driven gateway communities surrounding Yellowstone and Grand Teton National parks define, conceptualize, and perceive sustainability, and if those perceptions varied between time in residence, community of origin, or role within the community. Thirty-five key informant interviews were conducted with decision makers within the Greater Yellowstone Ecosystem to meet the study objectives. Throughout study communities, definitions of sustainability focused on the environment, the economy, and multi-generational thinking, and it is believed that these similarities can be the starting point for communication and collaboration among gateway communities, the long-term sustainability of their individual communities, and the collective resource upon which they all depend, the Greater Yellowstone Ecosystem.

Optimal fuzzy scheduling and sequencing of multiple-period operating room

2017 ◽  
Vol 32 (1) ◽  
pp. 108-121 ◽  
Author(s):  
Abbas Al-Refaie ◽  
Mays Judeh ◽  
Ming-Hsien Li
Keyword(s):  
Optimization Model ◽  
Real Life ◽  
Operating Rooms ◽  
Decision Makers ◽  
Operating Costs ◽  
Optimization Models ◽  
Patients Satisfaction ◽  
Fuzzy Scheduling ◽  
Sequencing Problems

AbstractLittle research has considered fuzzy scheduling and sequencing problem in operating rooms. Multiple-period fuzzy scheduling and sequencing of patients in operating rooms optimization models are proposed in this research taking into consideration patient‘s preference. The objective of the scheduling optimization model is obtaining minimal undertime and overtime and maximum patients' satisfaction about the assigned date. The objective of sequencing the optimization model is both to minimize overtime and to maximize patients' satisfaction about the assigned time. A real-life case study from a hospital that offers comprehensive surgical procedures for all surgical specialties is considered for illustration. Research results showed that the proposed models efficiently scheduled and sequenced patients while considering their preferences and hospitals operating costs. In conclusion, the proposed optimization models may result in improving patient satisfaction, utilizing hospital's resources efficiently, and providing assistance to decision makers and planners in solving effectively fuzzy scheduling and sequencing problems of operating rooms.

Conceptualizing Emergency Department Scenarios

2015 ◽  
pp. 1351-1368 ◽  
Author(s):  
Maya Kaner ◽  
Tamar Gadrich ◽  
Shuki Dror ◽  
Yariv N. Marmor
Keyword(s):  
Emergency Department ◽  
Real Life ◽  
Relevant Information ◽  
Literature Survey ◽  
Decision Makers ◽  
Simulation Experiments ◽  
Management Staff ◽  
Ed Operations ◽  
Relevant Factors

To handle problems and trends in emergency department (ED) operations, designers and decision makers often simulate and evaluate various case-specific scenarios before testing them in a real-life environment. However, conceptualizing broad possible scenarios for ED operations prior to simulation operationalization is usually neglected. The authors developed a methodology that integrates design of simulation experiments (DSE) as follows: 1) From a literature survey, they culled generic factors whose varying levels determine possible scenarios; 2) the authors drew up a set of generic interactions among these generic factors; 3) a questionnaire was constructed to serve as an instrument to gather the relevant information from management staff about relevant factors, their levels and interactions for a specific ED. Questionnaire responses support a schematic conceptualization of scenarios that should be simulated for a specific ED. They illustrate the application of the authors' methodology for conceptualization of ED simulation scenarios in two different EDs.

VISOLE

2010 ◽  
pp. 185-206 ◽  
Author(s):  
Morris S.Y. Jong ◽  
Junjie Shang ◽  
Fong-Lok Lee ◽  
Jimmy H.M. Lee
Keyword(s):  
Problem Solving ◽  
Real Life ◽  
Computer Game ◽  
Design Strategy ◽  
Game Based Learning ◽  
Pedagogical Approach ◽  
Specific Knowledge ◽  
Problem Solving Skills ◽  
Subject Specific ◽  
Virtual Interactive

VISOLE (Virtual Interactive Student-Oriented Learning Environment) is a constructivist pedagogical approach to empower computer game-based learning. This approach encompasses the creation of a near real-life online interactive world modeled upon a set of multi-disciplinary domains, in which each student plays a role in this “virtual world” and shapes its development. All missions, tasks and problems therein are generative and open-ended with neither prescribed strategies nor solutions. With sophisticated multi-player simulation contexts and teacher facilitation (scaffolding and debriefing), VISOLE provides opportunities for students to acquire both subject-specific knowledge and problem-solving skills through their near real-life gaming experience. This chapter aims to delineate the theoretical foundation and pedagogical implementation of VISOLE. Apart from that, the authors also introduce their game-pedagogy co-design strategy adopted in developing the first VISOLE instance—FARMTASIA.

Frameworks and Models in Decision-Making and Judgment in Child Welfare and Protection

2020 ◽  
pp. 3-26
Author(s):  
Rami Benbenishty ◽  
John D. Fluke
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Child Welfare ◽  
False Negative ◽  
Real Life ◽  
Decision Makers ◽  
Future Research ◽  
Theoretical Perspectives ◽  
Specificity And Sensitivity ◽  
Predictive Risk

This chapter presents the basic concepts, theoretical perspectives, and areas of scholarship that bear on decisions in child welfare—making choices in decision environments characterized by high levels of uncertainty. The authors distinguish between normative models that predict what decision-makers ought to choose when faced with alternatives and descriptive models that describe how they tend to make these choices in real life. The chapter reviews those challenges that may be especially relevant in the complex context of child welfare and protection. One way in which decision-makers overcome task complexities and limitations in human information processing (bounded rationality) is by using heuristics to navigate complex tasks. The chapter reviews strategies to correct some limitations in judgment. The authors examine the relationships between workers’ predictions of what would be the outcomes of the case and the actual outcomes and describe two types of error (false positive and false negative) and the related concepts of specificity and sensitivity. These issues are followed by a description of the Lens Model and some of its implications for child welfare decision-making, including predictive risk modeling and studies on information processing models. The final section presents current theoretical models in child welfare decision-making and describes Decision-Making Ecology (DME) and Judgments and Decision Processes in Context (JUDPiC). The chapter concludes with suggestions for future research on child welfare decision-making that could contribute to our conceptual understanding and have practical utility as well.

An Application of the Integrated IBA-TOPSIS Model in Supplier Selection

2015 ◽  
Vol 7 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Ksenija Mandić ◽  
Boris Delibašić ◽  
Dragan Radojević
Keyword(s):  
Decision Making ◽  
Boolean Algebra ◽  
Supplier Selection ◽  
Selection Process ◽  
Real Life ◽  
Decision Makers ◽  
Proposed Model ◽  
Qualitative Variables ◽  
Hidden Knowledge ◽  
Multi Attribute Decision Making

The supplier selection process attracted a lot of attention in the business management literature. This process takes into consideration several quantitative and qualitative variables and is usually modeled as a multi-attribute decision making (MADM) problem. A recognized shortcoming in the literature of classical MADM methods is that they don't permit the identification of interdependencies among attributes. Therefore, the aim of this study is to propose a model for selecting suppliers of telecommunications equipment that includes the interaction between attributes. This interaction can model the hidden knowledge needed for efficient decision-making. To model interdependencies among attributes the authors use a recently proposed consistent fuzzy logic, i.e. interpolative Boolean algebra (IBA). For alternatives ranking they use the classical MADM method TOPSIS. The proposed model was evaluated on a real-life application. The conclusion is that decision makers were able to integrate their reasoning into the MADM model using interpolative Boolean algebra.

Conceptualizing Emergency Department Scenarios

2013 ◽  
Vol 4 (1) ◽  
pp. 30-46
Author(s):  
Maya Kaner ◽  
Tamar Gadrich ◽  
Shuki Dror ◽  
Yariv Marmor
Keyword(s):  
Emergency Department ◽  
Real Life ◽  
Relevant Information ◽  
Literature Survey ◽  
Decision Makers ◽  
Simulation Experiments ◽  
Management Staff ◽  
Ed Operations ◽  
Relevant Factors

To handle problems and trends in emergency department (ED) operations, designers and decision makers often simulate and evaluate various case-specific scenarios before testing them in a real-life environment. However, conceptualizing broad possible scenarios for ED operations prior to simulation operationalization is usually neglected. The authors developed a methodology that integrates design of simulation experiments (DSE) as follows: 1) From a literature survey, they culled generic factors whose varying levels determine possible scenarios; 2) the authors drew up a set of generic interactions among these generic factors; 3) a questionnaire was constructed to serve as an instrument to gather the relevant information from management staff about relevant factors, their levels and interactions for a specific ED. Questionnaire responses support a schematic conceptualization of scenarios that should be simulated for a specific ED. They illustrate the application of the authors’ methodology for conceptualization of ED simulation scenarios in two different EDs.

scholarly journals A Game Theoretic Model of Choosing a Valuable Good via a Short List Heuristic

Mathematics ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 199 ◽  
Author(s):  
David M. Ramsey
Keyword(s):  
Real Life ◽  
Decision Makers ◽  
The Internet ◽  
Theoretic Model ◽  
Final Decision ◽  
Search Procedure ◽  
Short List ◽  
Game Theoretic ◽  
Game Theoretic Model ◽  
High Level

The Internet gives access to a huge amount of data at the click of a mouse. This is very helpful when consumers are making decisions about which product to buy. However, the final decision to purchase is still generally made by humans who have limited memory and perception. The short list heuristic is often used when there are many offers on the market. Searchers first find information about offers via the Internet and on this basis choose a relatively small number of offers to view in real life. Although such rules are often used in practice, little research has been carried out on determining, for example, what the size of the short list should be depending on the parameters of the problem or modelling how the short list heuristic can be implemented when there are multiple decision makers. This article presents a game theoretic model of such a search procedure with two players. These two players can be interpreted, for example, as a couple searching for a flat or a second-hand car. The model indicates that under such a search procedure the roles of searchers should only be divided when the preferences of the players are coherent or there is a high level of goodwill between them. In other cases, dividing the roles leads to a high level of conflict.

Coloured stochastic Petri nets modelling for the reliability and maintenance analysis of multi-state multi-unit systems

2014 ◽  
Vol 25 (4) ◽  
pp. 476-490 ◽  
Author(s):  
Zhouhang Wang ◽  
Maen Atli ◽  
H. Kondo Adjallah
Keyword(s):  
Petri Nets ◽  
Complex Structure ◽  
Real Life ◽  
Simulation Models ◽  
Decision Makers ◽  
Stochastic Petri Nets ◽  
Repairable Systems ◽  
Content Type ◽  
Markov Graphs ◽  
Maintenance Policies

Purpose – The purpose of this paper is to introduce a method for modelling the multi-state repairable systems subject to stochastic degradation processes by using the coloured stochastic Petri nets (CSPN). The method is a compact and flexible Petri nets model for multi-state repairable systems and offers an alternative to the combinatory of Markov graphs. Design/methodology/approach – The method is grounded on specific theorems used to design an algorithm for systematic construction of multi-state repairable systems models, whatever is their size. Findings – Stop and constraint functions were derived from these theorems and allow to considering k-out-of-n structure systems and to identifying the minimal cut sets, useful to monitoring the states evolution of the system. Research limitations/implications – The properties of this model will be studied, and new investigations will help to demonstrate the feasibility of the approach in real world, and more complex structure will be considered. Practical implications – The simulation models based on CSPN can be used as a tool by maintenance decision makers, for prediction of the effectiveness of maintenance strategies. Originality/value – The proposed approach and model provide an efficient tool for advanced investigations on the development and implementation of maintenance policies and strategies in real life.

Creating the circular advantage for the oil and gas industry

2016 ◽  
Vol 56 (2) ◽  
pp. 585
Author(s):  
Christopher Coldrick ◽  
Rowan Fenn ◽  
David Sahota
Keyword(s):  
Oil And Gas ◽  
Service Providers ◽  
Real Life ◽  
Oil And Gas Industry ◽  
Repair Process ◽  
Materials Management ◽  
Gas Industry ◽  
Management Processes ◽  
Oil And Gas Companies ◽  
The Impact

Maintenance, repair and operating (MRO) materials typically represent 15–20% of the operating costs for a mature oil and gas asset. Of this, a substantial proportion is comprised of high-value repairable equipment such as motors, compressors and pumps. This equipment is often at bottlenecks in the production process and so the impact of materials cost on profitability is magnified by the production ramifications of an outage. Effective management of this equipment is key to the sustainable, profitable operation of any oil and gas asset, and is key to improving the competitiveness of the Australian industry. Oil and gas companies are adopting a variety of models to handle the repair process, with varying degrees of success. Challenges include: poor materials availability and lack of traceability; complex infield materials management processes resulting in costly wastages; difficulty in managing consistency, suitability and specifications of repairs; high cost for those undertaking the repairs; and, correct allocation of responsibility and risk in the materials management process. Developed in collaboration with Australian oil and gas operators, with input from case studies outside the oil and gas industry, this extended abstract discusses the roles and opportunities for the circular economy in helping companies to meet their sustainability and profitability targets. Using several real-life examples, it makes recommendations for vendors, service providers and operators that can have material impact on the profitability of the industry.

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