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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Main Authors: Gregory S. Parnell, C. Robert Kenley, Devon Clark, Jared Smith, Frank Salvatore, Chiemeke Nwobodo, Sheena Davis
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Systems
Subjects:
Online Access:https://www.mdpi.com/2079-8954/13/7/596
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author Gregory S. Parnell
C. Robert Kenley
Devon Clark
Jared Smith
Frank Salvatore
Chiemeke Nwobodo
Sheena Davis
author_facet Gregory S. Parnell
C. Robert Kenley
Devon Clark
Jared Smith
Frank Salvatore
Chiemeke Nwobodo
Sheena Davis
author_sort Gregory S. Parnell
collection DOAJ
description 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.
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spelling doaj-art-212628ebfa5842f9b3726d963fb7b7b02025-08-20T03:08:06ZengMDPI AGSystems2079-89542025-07-0113759610.3390/systems13070596Decision Analysis Data Model for Digital Engineering Decision ManagementGregory S. Parnell0C. Robert Kenley1Devon Clark2Jared Smith3Frank Salvatore4Chiemeke Nwobodo5Sheena Davis6Department of Industrial Engineering, University of Arkansas, Fayetteville, AR 72701, USAEdwardson School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USADeloitte Consulting LLP, Fredericksburg, VA 22408, USADeloitte Consulting LLP, Tullahoma, TN 37388, USASAIC, Stockholm, NJ 07460, USADeloitte Consulting LLP, Miami, FL 33133, USADeloitte Consulting LLP, Fairfax, VA 22031, USADecision 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.https://www.mdpi.com/2079-8954/13/7/596digital engineeringdecision managementdata modelinglogical data modelingmodel-based systems engineeringpatterns
spellingShingle Gregory S. Parnell
C. Robert Kenley
Devon Clark
Jared Smith
Frank Salvatore
Chiemeke Nwobodo
Sheena Davis
Decision Analysis Data Model for Digital Engineering Decision Management
Systems
digital engineering
decision management
data modeling
logical data modeling
model-based systems engineering
patterns
title Decision Analysis Data Model for Digital Engineering Decision Management
title_full Decision Analysis Data Model for Digital Engineering Decision Management
title_fullStr Decision Analysis Data Model for Digital Engineering Decision Management
title_full_unstemmed Decision Analysis Data Model for Digital Engineering Decision Management
title_short Decision Analysis Data Model for Digital Engineering Decision Management
title_sort decision analysis data model for digital engineering decision management
topic digital engineering
decision management
data modeling
logical data modeling
model-based systems engineering
patterns
url https://www.mdpi.com/2079-8954/13/7/596
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AT franksalvatore decisionanalysisdatamodelfordigitalengineeringdecisionmanagement
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