Decision Analysis Data Model for Digital Engineering Decision Management

Decision management is the systems engineering life cycle process for making program/system decisions. The purpose of the decision management process is: “…to provide a structured, analytical framework for objectively identifying, characterizing and evaluating a set of alternatives for a decision at...

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Vydáno v:Systems (Basel) Ročník 13; číslo 7; s. 596
Hlavní autoři: Parnell, Gregory S., Kenley, C. Robert, Clark, Devon, Smith, Jared, Salvatore, Frank, Nwobodo, Chiemeke, Davis, Sheena
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.07.2025
Témata:
Architecture
Collaboration
Data analysis
Data management
data modeling
Data models
Decision analysis
Decision making
decision management
digital engineering
Enterprise resource planning
Environmental engineering
Handbooks
Information management
Knowledge management
Life cycle engineering
logical data modeling
Manufacturing
Middleware
Model-based systems
model-based systems engineering
Operations management
patterns
Performance management
Software
Systems engineering
North Carolina
United States
Switzerland
New Jersey
Washington, D.C
United States > US
ISSN:2079-8954, 2079-8954
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Abstract Decision management is the systems engineering life cycle process for making program/system decisions. The purpose of the decision management process is: “…to provide a structured, analytical framework for objectively identifying, characterizing and evaluating a set of alternatives for a decision at any point in the life cycle and select the most beneficial course of action”. Systems engineers and systems analysts need to inform decisions in a digital engineering environment. This paper describes a Decision Analysis Data Model (DADM) developed in model-based systems engineering software to provide the process, methods, models, and data to support decision management. DADM can support digital engineering for waterfall, spiral, and agile development processes. This paper describes the decision management processes and provides the definition of the data elements. DADM is based on ISO/IEC/IEEE 15288, the INCOSE SE Handbook, the SE Body of Knowledge, the Data Management Body of Knowledge, systems engineering textbooks, and journal articles. The DADM was developed to establish a decision management process and data definitions that organizations and programs can tailor for their system life cycles and processes. The DADM can also be used to assess organizational processes and decision quality.
AbstractList Decision management is the systems engineering life cycle process for making program/system decisions. The purpose of the decision management process is: “…to provide a structured, analytical framework for objectively identifying, characterizing and evaluating a set of alternatives for a decision at any point in the life cycle and select the most beneficial course of action”. Systems engineers and systems analysts need to inform decisions in a digital engineering environment. This paper describes a Decision Analysis Data Model (DADM) developed in model-based systems engineering software to provide the process, methods, models, and data to support decision management. DADM can support digital engineering for waterfall, spiral, and agile development processes. This paper describes the decision management processes and provides the definition of the data elements. DADM is based on ISO/IEC/IEEE 15288, the INCOSE SE Handbook, the SE Body of Knowledge, the Data Management Body of Knowledge, systems engineering textbooks, and journal articles. The DADM was developed to establish a decision management process and data definitions that organizations and programs can tailor for their system life cycles and processes. The DADM can also be used to assess organizational processes and decision quality.
Audience Academic
Author Clark, Devon
Smith, Jared
Davis, Sheena
Parnell, Gregory S.
Kenley, C. Robert
Salvatore, Frank
Nwobodo, Chiemeke
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Cites_doi 10.1007/978-3-030-93582-5
10.1016/0166-3615(94)90017-5
10.1109/TSSC.1968.300115
10.1002/9781394283910
10.4271/2005-01-3623
10.3390/systems12090336
10.1002/inst.12373
10.1002/9781118515853
10.1680/didsfrc.27480
10.1002/j.2334-5837.2016.00189.x
10.1287/opre.36.4.589
10.1002/9781119176657
10.3390/systems6040045
10.1002/j.2334-5837.2017.00418.x
10.1002/j.2334-5837.2013.tb03014.x
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StartPage 596
SubjectTerms Architecture
Collaboration
Data analysis
Data management
data modeling
Data models
Decision analysis
Decision making
decision management
digital engineering
Enterprise resource planning
Environmental engineering
Handbooks
Information management
Knowledge management
Life cycle engineering
logical data modeling
Manufacturing
Middleware
Model-based systems
model-based systems engineering
Operations management
patterns
Performance management
Software
Systems engineering
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