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This report documents the progress made under the Info-Cognitive Proactive Decision Support (InfoCog) project of the Proactive and Adaptive Decision Support Study (PDS) program. InfoCog, to be developed by the team of Boston Fusio...
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This report documents the progress made under the Info-Cognitive Proactive Decision Support (InfoCog) project of the Proactive and Adaptive Decision Support Study (PDS) program. InfoCog, to be developed by the team of Boston Fusion Corp. and Aptima, Inc. combines two different perspectives essential for proactive decision support: a data-centered representation of the mission information space (Boston Fusion) and a user-centered representation of the human decision space (Aptima). InfoCog will overcome the limitations and drawbacks of today's Decision Support Systems that adopt only the information or human decision spaces.
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During September, the principal activities for Boston Fusion were related to (1) initiating the development of the technical section of the InfoCog final report, and (2) PADS Workshop. Summaries of these activities appear in the s...
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During September, the principal activities for Boston Fusion were related to (1) initiating the development of the technical section of the InfoCog final report, and (2) PADS Workshop. Summaries of these activities appear in the subsequent section.
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We introduce a real-time decision support system which uses optimization methods, simulation, and the judgement of the decision maker for operational assignment of units to tasks and for tactical allocation of units to task requir...
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We introduce a real-time decision support system which uses optimization methods, simulation, and the judgement of the decision maker for operational assignment of units to tasks and for tactical allocation of units to task requirements. The system, named ARES for the Greek god of war, accommodates a high degree of detail in the logistics of unit movements during operations, yet separates the assignment and allocation activities in a fashion which naturally accommodates human intervention and judgement-ARES is designed to assist the decision maker, not to replace him. ARES is demonstrated with a hypothetical scenario constructed for 14 Engineering Battalions of the Hellenic Army which are assigned 20 tasks employing 25 resource types in repairing major damage to public works following a great earthquake. (This hypothetical data was prepared prior to the earthquake in Kalamata near Athens on 13 September, 1986, and exhibits uncanny, but coincidental, resemblance to that real situation.) ARES is designed for use in real time, and quick data preparation is aided by the provision from published sources of standard data for many foreseeable tasks; this data can be quickly accessed via visual icons on a computer screen and customized for the actual work at hand.
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This paper describes an automated decision support system designed to facilitate the management of a continuously changing portfolio of technologies as new technologies are deployed and older technologies are decommissioned.
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This paper describes an information technology innovation developed to assist decision makers faced with complex R&D tasks. The decision support system (DSS) was developed and applied to the analysis of a 10-year, 700 million do...
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This paper describes an information technology innovation developed to assist decision makers faced with complex R&D tasks. The decision support system (DSS) was developed and applied to the analysis of a 10-year, 700 million dollar technology program for the exploration of Mars. The technologies were to enable a 4.8 billion dollar portfolio of exploration flight missions to Mars.
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Two of the more subjective processes in decision making involve forming an opinion about each decision-relevant information item (i.e., the impact and importance of that item to any decision option) and then selecting one option b...
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Two of the more subjective processes in decision making involve forming an opinion about each decision-relevant information item (i.e., the impact and importance of that item to any decision option) and then selecting one option based upon some form of cognitive weighting of the entire information pool. The decision support package described here simplifies and quantifies these two processes by supplying an intuitive interface to capture: (1) location of the information item (2) content of the information item (3) quality of the information (4) timeliness of the information (5) decision option impacted (6) nature of that impact and (7) the importance of the item. Using a weighting matrix, the subjective assessments of impact and importance for each information item are converted into single score and then all the information item scores for a particular decision option are summed. The final total scores are used to quantitatively assess the ranking all the various decision options. An exchange module makes all assessments available to all participants, enabling the group to quickly focus on the key differing individual assessments causing any lack of group consensus.
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Decision support systems have been implemented in many applications including strategic planning for battlefield scenarios, corporate decision making for business planning, production planning and control systems, and recommendati...
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Decision support systems have been implemented in many applications including strategic planning for battlefield scenarios, corporate decision making for business planning, production planning and control systems, and recommendation generators like those on Amazon.com(Registered TradeMark). Such tools are reviewed for developing a similar tool for NASA's ALS Program. DSS are considered concurrently with the development of the OPIS system, a database designed for chronicling of research and development in ALS. By utilizing the OPIS database, it is anticipated that decision support can be provided to increase the quality of decisions by ALS managers and researchers.
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When choosing a decision analysis technique to model a particular complex decision the fundamentals of the technique chosen should be understood by the analyst, and they should be appropriate for the characteristics of the problem...
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When choosing a decision analysis technique to model a particular complex decision the fundamentals of the technique chosen should be understood by the analyst, and they should be appropriate for the characteristics of the problem itself. For analysing such complex decisions the Analytic Hierarchy Process is one of the most commonly used techniques. This technical note highlights a number of theoretical issues, some well-known and others less well- known, that introduce a considerable degree of uncertainty into the computed output priorities for the decision alternatives.
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The source selection process within the Department of Defense is one of the mosttime consuming activities for acquisition personnel. A source selection team typically consists of a technical team, management team and cost team. Te...
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The source selection process within the Department of Defense is one of the mosttime consuming activities for acquisition personnel. A source selection team typically consists of a technical team, management team and cost team. Team members are tasked with evaluating the competing contractor's proposals in their area of expertise (i.e. technical, management or cost). Currently the evaluation method for competitions is to select one contractor for award on the basis of which proposal represents the best value to the Government. These proposals are evaluated using evaluation factors such as: Technical, Management, Cost, and Integrated Logistics Support. The evaluation factors vary in importance for each unique competition. There are many complexities that exist in source selections: numerous contractors, various evaluation criteria, and different rankings for each of the evaluation criteria. Compiling the results of each team's evaluation into an understandable format to present to top management is a difficult process. A Computer Based Decision Support System (DSS) may help to overcome several of the obstacles which currently exist in the evaluation of contractor bids. This paper presents a DSS which implements a weighted evaluation model (the Brown-Gibson model) in order to summarize source selection information. The objective of the DSS is to provide an automated system that can function as a tool to aid decision makers in the evaluation of source selections, and to provide a tool which visually assists the evaluation team in summarizing the subjective and objective attributes of the computation.
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