Operational and Control Decision Making in Aluminium Smelters

2011 ◽  
Vol 201-203 ◽  
pp. 1632-1641 ◽  
Author(s):  
Ya Shuang Gao ◽  
Mark P. Taylor ◽  
John J.J. Chen ◽  
Michael J. Hautus
Keyword(s):  
Decision Making ◽  
Smelting Process ◽  
Interactive Approach ◽  
Naturalistic Decision Making ◽  
Support Tools ◽  
Advanced Control ◽  
Decision Making Processes ◽  
Control Decision ◽  
Rich Information ◽  
And Control

In aluminium smelters, the operational staffs constantly face decision making situations for operation and process control and these decisions can have significant impact on the process. The smelting process involves highly complex mechanisms and has rich information but low observability. In this environment, without support tools, systematic information management, or robust control models, decision making is challenging. This paper discusses different types of decision making processes and demonstrates that naturalistic decision making models (Recognition-Primed Decision Making, ie RPD) are more suitable to describe the situations in smelters. A model which combines an advanced control model, a system and human interactive approach and the thinking process in RPD is proposed to improve the quality of decisions for the operational staffs in smelters, hence the efficiency and productivity of the process.

scholarly journals Smart Simulation for Decision Support at Headquarters

2019 ◽  
Vol 25 (3) ◽  
pp. 81-90
Author(s):  
Ariane Bitoun ◽  
Hans ten Bergen ◽  
Yann Prudent
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Situation Awareness ◽  
Military Operations ◽  
Operations Planning ◽  
Support Tools ◽  
First Results ◽  
Decision Making Processes ◽  
And Control ◽  
Command And Control System

Abstract While serious games are being widely adopted by NATO and partner nations, their use is currently limited to training and operations planning. In this paper, we explore new methods that use simulations for decision support during the execution of military operations. During this phase, the commander makes decisions based on knowledge of the situation and the primary objectives. We propose here to take a simulation containing smart and autonomous units, and use it to create new kinds of decision support tools capable of improving situation awareness, and consequently the quality of decisions. The breakthrough behind this initiative is the realization that we can provide HQ decision makers with access to a version of the information that smart simulated units use to make decisions. To ensure the approach was sound we first studied decision-making processes, and analyzed how situation awareness improves decision-making. After analysis of the decision-making processes at various headquarters, and the types of decision criteria employed, we are able to produce innovative information, computed by the simulation, and fed by the command and control system. We then propose a prerequisite architecture and describe the first results of our proof of concept work based on the SWORD (Simulation War gaming for Operational Research and Doctrine) simulation.

Scheduling and control decision-making under an integrated information environment

2011 ◽  
Vol 35 (5) ◽  
pp. 774-786 ◽  
Author(s):  
Edrisi Muñoz ◽  
Elisabet Capón-García ◽  
Marta Moreno-Benito ◽  
Antonio Espuña ◽  
Luis Puigjaner
Keyword(s):  
Decision Making ◽  
Information Environment ◽  
Control Decision ◽  
And Control ◽  
Integrated Information

scholarly journals Comparative Analysis of Multi-Criteria Methods for the Enhancement of Historical Buildings

2019 ◽  
Vol 11 (17) ◽  
pp. 4526 ◽  
Author(s):  
Antonio Nesticò ◽  
Piera Somma
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
The Sustainable Development ◽  
Evaluation Approach ◽  
Design Alternatives ◽  
Essential Components ◽  
Support Tools ◽  
The Hierarchical Structure ◽  
Order Preference ◽  
Decision Making Processes

The protection of cultural heritage is essential to preserve the memory of the territory and its communities, but its enhancement is also important. In this perspective, the theme of choosing the best use for historic buildings, which often make up a substantial and widespread part of real estate and which can become a driving force for the sustainable development of cities, is important. These decision-making processes find effective support tools in Multi-Criteria Decision Making (MCDM) methods, able to consider the multiple financial, social, cultural, and environmental effects that the enhancement project generates. In order to identify the most appropriate evaluation approach to select the best use of the building, this paper proposes a comparison between some of the best-known MCDM methods: Analitic Hierarchy Process (AHP), ELimination Et Choix Traduisant la REalité (ELECTRE), Tecnique for Order Preference by Similarity to Ideal Solution (TOPSIS), and the Compromise Ranking Method (VIKOR). The comparative analysis gives rise to the validity of the AHP, which is useful for reducing the problem into its essential components, so as to make a rational comparison among the design alternatives based on different criteria. The novelty of the research is the characterization of the hierarchical structure of the model, as well as the selection of criteria and indicators of economic evaluation. The application of the model to a real case of recovery and enhancement of a former convent in the province of Salerno (Italy) verifies the effectiveness of the tool and its adaptability to the specificities of the case study.

scholarly journals A Novel Framework for Synchrophasor Based Online Recognition and Efficient Post-Mortem Analysis of Disturbances in Power Systems

2020 ◽  
Vol 10 (15) ◽  
pp. 5209
Author(s):  
Andre Kummerow ◽  
Cristian Monsalve ◽  
Christoph Brosinsky ◽  
Steffen Nicolai ◽  
Dirk Westermann
Keyword(s):  
Decision Making ◽  
Power Systems ◽  
System Operation ◽  
Critical System ◽  
Web Based ◽  
Additional Information ◽  
Decision Making Processes ◽  
System States ◽  
Transient System ◽  
And Control

Synchrophasor based applications become more and more popular in today’s control centers to monitor and control transient system events. This can ensure secure system operation when dealing with bidirectional power flows, diminishing reserves and an increased number of active grid components. Today’s synchrophasor applications provide a lot of additional information about the dynamic system behavior but without significant improvement of the system operation due to the lack of interpretable and condensed results as well as missing integration into existing decision-making processes. This study presents a holistic framework for novel machine learning based applications analyzing both historical as well as online synchrophasor data streams. Different methods from dimension reduction, anomaly detection as well as time series classification are used to automatically detect disturbances combined with a web-based online visualization tool. This enables automated decision-making processes in control centers to mitigate critical system states and to ensure secure system operations (e.g., by activating curate actions). Measurement and simulation-based results are presented to evaluate the proposed synchrophasor application modules for different use cases at the transmission and distribution level.

scholarly journals Investigative decision-making: interviews with detectives

2019 ◽  
Vol 9 (2) ◽  
pp. 88-107
Author(s):  
Elpiniki Spanoudaki ◽  
Maria Ioannou ◽  
John Synnott ◽  
Calli Tzani-Pepelasi ◽  
Ntaniella Roumpini Pylarinou
Keyword(s):  
Decision Making ◽  
Law Enforcement ◽  
Qualitative Content Analysis ◽  
Naturalistic Inquiry ◽  
Naturalistic Decision Making ◽  
Internal Factors ◽  
Content Type ◽  
Decision Making Processes ◽  
The Uk ◽  
Decision Making Model

PurposeThe purpose of this paper is to explore investigative decision-making processes in the context of major crimes as experienced by the law enforcement agents.Design/methodology/approachEpisodic interviews were conducted with six agents from medium-sized police forces in the UK. Following the framework of naturalistic inquiry, qualitative content analysis took place with the assistance of Atlas.ti software. To ensure the validity of findings, the within method triangulation was preferred, by additionally analysing the interview transcripts with Alceste.FindingsFindings from this study revealed a variety of internal factors at play, shaping the decision-making course into an act of balancing various desired goals. Detectives appear to assess a situation based on their experiences confirming that the naturalistic decision-making model may assist in understanding investigative decision-making.Research limitations/implicationsDue to the busy schedule of law enforcement agents the number of participants was limited and availability difficult; therefore, this study can be thought of as a pilot study that will inspire researchers to use the same method for in-depth understanding of investigative decision-making.Practical implicationsResults captured the ill-defined goals in the police environment and provided ways of decreasing their impact on investigative decision-making thus should help detectives to understand their decision-making limitations and strengths.Social implicationsThis project will enhance the psychological understanding of investigative decision-making.Originality/valueThis project assists in understanding the psychological aspect of investigative decision-making during police duty and provides the opportunity to law enforcement agents to re-evaluate situations in order to improve the investigative decision-making process; while adds to existing literature.

Identifying Decision Complexity Factors in Ambulance Command and Control

2005 ◽  
Vol 49 (3) ◽  
pp. 234-237 ◽  
Author(s):  
J. Hayes ◽  
A. Moore ◽  
G. Benwell ◽  
B. L. W. Wong
Keyword(s):  
Decision Making ◽  
Interface Design ◽  
Quantitative Data ◽  
Command And Control ◽  
View Point ◽  
Decision Method ◽  
Work Factors ◽  
Decision Making Processes ◽  
And Control ◽  
Decision Complexity

To understand the decision making processes of fourteen ambulance command and control (C2) operators, interviews employing the critical decision method were conducted in two ambulance C2 centres. An emergent themes analysis of the interview transcripts resulted in the identification of the strategies used by the operators when making dispatch decisions. To complement this work, factors that were considered to contribute to the complexity of the decision making task were identified and then rated by the operators to determine the extent of this contribution. As a result the researchers obtained quantitative data regarding the factors that were considered to contribute the greatest to the complexity of the dispatch task from the view point of the operators. The benefits of this approach include the identification of cognitive 'choke points' in the dispatch process that can be addressed during interface design.

Advanced Tool for Railway Planning and Traffic Control Decision Making

2007 ◽  
Author(s):  
Juan de Dios Sanz Bobi ◽  
Ramo´n Gala´n Lo´pez ◽  
Jose´ Manuel Mera Sa´nchez de Pedro ◽  
Jorge Garzo´n Nu´n˜ez ◽  
Pedro Reyes de la Pen˜a
Keyword(s):  
Decision Making ◽  
Traffic Control ◽  
Traffic Density ◽  
Planning And Scheduling ◽  
Decision Making Processes ◽  
On Line ◽  
Control Decision ◽  
Common Operation ◽  
Open Line ◽  
Operational Plan

This paper focuses on the difficulties noticed in Railway’s Decision Making processes according to schedule-making and to control tasks on the central operation post of principal railway lines. Traffic density, rail stations’ capacity and human criteria are main factors in order to develop and to obtain a useful tool for helping Railway Administrations in the decision making processes. In this sense, a tool is presented to operate off-line for planning and scheduling; and on-line for common operation on traffic central post. The architecture is oriented to save time in specific modules where operation tools are trained on different scenarios to solve particular ‘events’ which are defined to be critical for the line. The objective is the generation of an optimal operational plan to regulate the line with minimum train delay according to the characteristics of the line (stations, facilities) and vehicles. The results are proven useful for mass-transport, like underground, or open-line topologies with mixed traffic both passenger and freight.

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