© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. ® Understanding and Measuring the Impact of Design and Systems Engineering Decisions.

Slides:



Advertisements
Similar presentations
1 Location of Partners and customers Who are our customers? MSSL Centre for Process engineering European Space Agency JOANNEUM RESEARCH Swedish Research.
Advertisements

© Telelogic AB Trade Studies with Focal Point ®. © Telelogic AB Discuss Trade Studies on the design of a JTRS Radio Design.
Cost as a Business Driver 1 John Brown C Eng MIEE mr_ Software Cost Estimation.
Optimize tomorrow today. TM Cost and Affordability approach at Development Planning stage 1.
HP Quality Center Overview.
DESIGN PROCESS OPTIMIZATION INTEGRATION TRADES SIMULATION VISUALIZATION Copyright 2010 Phoenix Integration, Inc. All rights reserved. Grant Soremekun Business.
Designing and Developing Decision Support Systems Chapter 4.
Key-word Driven Automation Framework Shiva Kumar Soumya Dalvi May 25, 2007.
On Representing Uncertainty In Some COCOMO Model Family Parameters October 27, 2004 John Gaffney Fellow, Software & Systems.
Introducing The Trade Workbench Trade Workbench Evaluation Tools Detailed Promotion Evaluation analysis tools based on industry best practices that are.
© 2013 PRICE Systems, LLC All Rights Reserved | Decades of Cost Management Excellence 1 Affordability Engineering for Better Alternative Selection and.
1 The Cost of Organizational Structures and Interfaces prepared for Ground System Architectures Workshop by Darryl W. Webb Business and Operations Analysis.
1 Chapter 12: Decision-Support Systems for Supply Chain Management CASE: Supply Chain Management Smooths Production Flow Prepared by Hoon Lee Date on 14.
Cost and Management Challenges of Systems of Systems True Program Success TM Cost and Management Challenges of System of Systems Arlene Minkiewicz, Chief.
Center for Evolutionary Computation and Automated Design Rich Terrile Symposium on Complex Systems Engineering Rand Corp. January 11, 2007 Rich Terrile.
Fundamentals of Information Systems, Second Edition
1 Introduction to System Engineering G. Nacouzi ME 155B.
 MODERN DATABASE MANAGEMENT SYSTEMS OVERVIEW BY ENGINEER BILAL AHMAD
Chapter 2 A Strategy for the Appraisal of Public Sector Investments.
Page - 1 Rocketdyne Propulsion & Power Role of EASY5 in Integrated Product Development Frank Gombos Boeing Canoga Park, CA.
© 2007 IBM Corporation IBM Global Financing February 2007 An Introduction to IBM Global Financing for Software and Services.
Privileged and Confidential Strategic Approach to Asset Management Presented to October Urban Water Council Regional Seminar.
Effective Methods for Software and Systems Integration
Using Six Sigma to Achieve CMMI Levels 4 and 5
1 Industrial Design of Experiments STAT 321 Winona State University.
The Pursuit for Efficient S/C Design The Stanford Small Sat Challenge: –Learn system engineering processes –Design, build, test, and fly a CubeSat project.
Leveraging JDA technology to support a Shelf Connected Supply Chain Amy Higgins VP, Space Management & Analytics Sears Holdings Corporation 1.
Describing Methodologies PART II Rapid Application Development*
N A S A G O D D A R D S P A C E F L I G H T C E N T E R I n t e g r a t e d D e s i g n C a p a b i l i t y / I n s t r u m e n t D e s i g n L a b o r.
“WHY AFFORDABILITY IS A SYSTEMS ENGINEERING METRIC” Quentin Redman Director – Solutions Architect PRICE Systems L.L.C.
©2002 Galorath Incorporated 1 A Vehicle for Collaboration The CAI Program Accomplishments: Established an Industry / Government Team (U.S. Air Force, U.S.
Analyze Opportunity Part 1
Managing Organizations Informed decision making as a prerequisite for success Action Vision Mission Organizational Context Policies, Goals, and Objectives.
Benjamin Welle Stanford University Grant Soremekun Phoenix Integration
Coming up: Software Engineering: A Practitioner’s Approach, 6/e Chapter 5 Practice: A Generic View copyright © 1996, 2001, 2005 R.S. Pressman & Associates,
Page 1 Designing for Health; A Methodology for Integrated Diagnostics/Prognostics Raymond Beshears Raytheon 2501 W. University McKinney, TX
Chapter 7: A Summary of Tools Focus: This chapter outlines all the customer-driven project management tools and techniques and provides recommendations.
Project Plan. Project Plan Components Project Overview – Description and Strategy Business Case Summary Key Deliverables and Scope Critical Success Factors.
Government Procurement Simulation (GPSim) Overview.
Chapter 14: Using the Scalable Decision Process on Large Projects The process outlined is meant to be scaleable. Individual steps can be removed, changed,
10/27/20151Ian Sommerville.  Fundamentals of software measurement, costing and pricing  Software productivity assessment  The principles of the COCOMO.
Fifth Lecture Hour 9:30 – 10:20 am, September 9, 2001 Framework for a Software Management Process – Life Cycle Phases (Part II, Chapter 5 of Royce’ book)
 by Banner Software Harris Herman Jan Peterson Banner Software April 2004 California Performance Review Transforming California.
Simulation Based Operational Analysis of Future Space Transportation Systems Alex J. Ruiz-Torres Information and Decision Sciences, COBA, UTEP Edgar Zapata.
N A S A G O D D A R D S P A C E F L I G H T C E N T E R I n t e g r a t e d D e s i g n C a p a b i l i t y / I n s t r u m e n t S y n t h e s i s & A.
Quantitative Project Risk Analysis 1 Intaver Institute Inc. 303, 6707, Elbow Drive S.W., Calgary AB Canada T2V 0E5
NASA/Air Force Cost Model presented by Keith Smith Science Applications International Corporation 2002 SCEA National Conference June
© Lehman Associations, LLC 2013 Technology as Strategy™ Tom Lehman Lehman Associates, LLC Lehman Reports 2014 Technology Institute NYSAE April, 2014.
April 8-10, 2002 XXXXXXXXXXXXX Business Unit 2002 Action Plan Your Name January 28-30, 2002 MSC.Software: How to Deliver Software Services Systems Fiat.
AURA New Initiatives Office. GSMT SWG Meeting L. Stepp, July 30, 2002 NSF Science Working Group Support Available from AURA NIO Available Personnel Current.
“ Building Strong “ Delivering Integrated, Sustainable, Water Resources Solutions Sensitivity and Importance Analysis Charles Yoe
Robust Design: The Future of Engineering Analysis in Design
Applying Cost Improvement Theory to the Production of Military Space Systems— Where Do We Go From Here? Paul Killingsworth SCEA National Conference June,
© 2014 Phoenix Integration, Inc. All Rights Reserved phoenix-int.com Simulation Workflow Automation and Model Management MBSE Workshop / INCOSE IW 2014.
IS&T Project Reviews September 9, Project Review Overview Facilitative approach that actively engages a number of key project staff and senior IS&T.
Overview MRD Enterprise MRD Process
Building Business Transformation Capabilities Our perspective on the building blocks, structure and critical success factors to impact change Gillian.
Project Cost Management
Strategic Information Systems Planning
SAMPLE Glimpse Into the Future Using Predictive HR Analytics
Software Requirements
Breakout Session Staying on Track 9 April 2015
DEFECT PREDICTION : USING MACHINE LEARNING
2016 International Conference on Grey Systems and Uncertainty Analysis
Microsoft Project Past, Present and Future
Knowing When to Stop: An Examination of Methods to Minimize the False Negative Risk of Automated Abort Triggers RAM XI Training Summit October 2018 Patrick.
OmegaPS Users’ Group Meeting OUGM19
KEY INITIATIVE Financial Data and Analytics
Implementing UK Housing Data Standards
Presentation transcript:

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. ® Understanding and Measuring the Impact of Design and Systems Engineering Decisions on Affordability SEDC System Engineering Conference May George Mason Inn Conference Center Zachary Jasnoff, PRICE Systems

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. ® Introduction 2 In today's data driven cost estimating environment, it is critical to understand the impact of design and systems engineering decisions on cost. Need for Cost Estimating Relationships (CERs) that relate engineering design and performance parameters to cost. New methodologies are needed to understand the cost impact on Measures of Effectiveness and Measures of Performance. Engineers also need the ability to visualize the sensitivity of the CERs to changes in design and performance parameters. Using new interfaces between systems engineering and cost estimating tools, this presentation will demonstrate how sensitivity analysis for custom developed CERs can easily be generated.

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. ® The Current Landscape In 2009, the Weapon Systems Acquisition Reform Act (S. 454) was signed into law by President Obama. One of the key principles is getting things right from the start with sound systems engineering and defendable cost estimating practices. System Engineering practices must ensure consideration of trade-offs between cost, schedule and performance early in the process of developing major weapon systems. One of the key analytical tools available to System Engineering for including cost as a trade off consideration is parametric estimating. By amalgamating cost variables into a few cost drivers, parametric cost estimating require less information than other methodologies. The cost drivers used in parametric cost estimating often align to engineering drivers, allowing concurrent development of estimates and design alternatives; no other methods have demonstrated this ability. Affordability is now treated as an engineering parameter and not simply a downstream result.

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. ® What is Needed in Today’s Environment? Ability to include align CERs within the Measure of Effectiveness Ability to have both databases of historical data points including estimating CERs within an integrated framework. Integration with System Engineering tools such as ModelCenter to conduct sensitivity, Design of Experiments, optimization studies, etc. 4 An Integrated Framework between cost estimating tools and System Engineering is required to fully assess Affordability issues.

© 2012 PRICE Systems, LLC. All Rights Reserved. 5 Case Study Example An Integrated Affordability Framework Leveraging Data-Driven CERs and System Engineering Tools in Satellite Estimating

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. ® Measuring the Impact of Design and Systems Engineering Decisions on Affordability Analysis 6 Performance Models Integrated Parametric Cost Models Integrated Systems Engineering Models Risk Analysis Cost/Effectiveness Modeling An Integrated Framework enables Affordability Analysis

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. ® FireSat Case Study Using equations from the Space Mission Engineering The New SMAD )SME- SMAD) Chapter 11 Cost Estimating (Henry Apgar) the objectives of this case study are to: Space Mission Engineering The New SMAD (SME-SMAD) [Wertz/Everett/Puschell, July 2011] (softcover) Data Driven Demonstrate incorporation of the SME-SMAD CERs within a fully integrated TruePlanning framework taking advantage of custom CERs and additional cost models. Data Repository Using TruePlanning as a data repository, store historical actual cost history contained in SME-SMAD and create new Cost Estimating Relationships. Cost Driver Analysis Determine which design variables drive cost – and to what extent Sensitivity Analysis Demonstrate integrated sensitivity and risk analysis modeling System Engineering Determine the “surface response” of the model (carpet plot analysis) to design parameters through integration with System Engineering Tools - ModelCenter Affordability Analysis Understand Cost/Performance relationships and tradeoffs

© 2012 PRICE Systems, LLC. All Rights Reserved. FireSat II Integrated Parametric Cost Estimating Model – TruePlanning including UCSM8, NICM and Custom CERs 8 TruePlanning Parametric Model for System Engineering / Program Management and IA&T Spacecraft Bus CERs from USCM8 TruePlanning for Software Parametric Model IR Sensor CER from NASA Instrument Cost Model (NICM) GSE and Launch Support and Launch from USMC8 Integrated Parametric Cost Models

© 2012 PRICE Systems, LLC. All Rights Reserved. FireSat Cost Estimating Relationships 9 SME-SMAD FireSat equations imported directly from EXCEL into TruePlanning Equation Cost Object

© 2012 PRICE Systems, LLC. All Rights Reserved. FireSat Launch Vehicle Historical Data in TruePlanning 10 Space Mission Analysis Design Launch Vehicle Data imported from EXCEL to TruePlanning for database repository and CER development

© 2012 PRICE Systems, LLC. All Rights Reserved. Example of FireSat Multivariate CER imported into TruePlanning 11 Once the CER is imported into TruePlanning it become an integral part of the framework co- existing with other CERs. The CER is not subject to breakage as in an EXCEL spreadsheet. Leverages additional TruePlanning capability e.g, risk analysis

© 2012 PRICE Systems, LLC. All Rights Reserved. Example of FireSat Multivariate CER imported into TruePlanning 12 Key Benefit: CER leverage’s TruePlanning’s Integration and Test algorithm to contribute to Assembly IA&T and System level costs

© 2012 PRICE Systems, LLC. All Rights Reserved. FireSat/TruePlanning Launch Segment Database and Custom CER Development 13 Launch Segment CER TruePlanning Database Repository for Launch Vehicle Data TruePlanning Custom Cost Object – Database repository

© 2012 PRICE Systems, LLC. All Rights Reserved. FireSat Launch Vehicle CER Development 14 Space Mission Analysis Design Launch Vehicle Data regression analysis and CER development in TruePlanning

© 2012 PRICE Systems, LLC. All Rights Reserved. FireSat - Launch Vehicle CER 15 Resultant CER based on regression analysis of Launch Vehicle data is encapsulated into a Launch Vehicle CER cost object. This can become part of a library of CER’s including the source data. Descriptors for component integration size and complexity. Influences IA&T cost at assembly and system level.

© 2012 PRICE Systems, LLC. All Rights Reserved. FireSat - TruePlanning Software Estimating Model 16 The software cost estimate leverages the TruePlanning for Software model. This allows a much more robust modeling of the software estimate. This model takes into account additional parameters software sizing, effective lines of code and team experience.

© 2012 PRICE Systems, LLC. All Rights Reserved. FireSat Results using TruePlanning 17 Total System $221M Based on: SMAD CERs Launch Vehicle CER Development TruePlanning System of Systems Estimates True Planning Software Estimates

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. ® FireSat TruePlanning Model Integration with System Engineering Tools While the TruePlanning model provide a single “point estimate”, we want to understand: –Sensitivity of the model to changes in CER parameters. – The response surface or “Carpet Plot” of the model to selected parameter changes –Which of the design variables drive cost – and to what extent (Design of Experiments) Using ModelCenter10 from Phoenix Integration, we can conduct these (and many other) system engineering studies. Allows us to determine the response of FireSat CERs within the TruePlanning model Complete Integration between TruePlanning and Engineering Tools via ModelCenter Integrated Systems Engineering Models

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. ® ModelCenter – Integrated CAIV Example 19 Affordability Analysis linking Cost Modeling and System Engineering Tools

© 2012 PRICE Systems, LLC. All Rights Reserved. FireSat Affordability Example Performance Model Driving TruePlanning Through ModelCenter 10

© 2012 PRICE Systems, LLC. All Rights Reserved. Integrated Cost/Effectiveness Modeling 21 Simple EXCEL Performance Model Integrated with TruePlanning via ModelCenter Cost/Effectiveness Modeling

© 2012 PRICE Systems, LLC. All Rights Reserved. Linkage Between Cost and Performance Model 22 Linkage Between Performance Model and TruePlanning via ModelCenter

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. ® FireSat Sensitivity Modeling – Performance Sizing Parameter vs. Estimated Cost Iteration of Sizing Parameter drives TruePlanning FireSat CERs and Estimated Cost

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. ® FireSat Affordability Modeling – Flight Software 24 ModelCenter Carpet plot tools used to example relationship between Organizational Productivity and Functional Complexity vs. Development Labor Hours

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. ® Sensitivity Analysis – TruePlanning EXCEL Companion Application- WBS Tornado Chart 25 Results Iterated Through TruePlanning Interface

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. ® Sensitivity Analysis – IR Sensor CER Cost Drivers 26 Cost Driver Tornado Chart

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. Risk Analysis - FireSat To complete the is run to understand the risk profile Through a EXCEL Companion and TruePlanning are completely integrated All parameters within TruePlanning including FireSat multivariate equations are selectable and accessible (and Crystal Ball) Parameters examined –All multivariate variables (USCM8, NICM) –Number of Equivalent Requirements (TruePlanning) –Source Lines of Code and Functional Complexity (TruePlanning) 27 Risk Analysis

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. Risk Integrated Analysis 28 Total FireSat Confidence Level ~50% IR Sensor Confidence Level ~40% Regression Sensitivity

© 2012 PRICE Systems, LLC. All Rights Reserved. Optimize tomorrow today. ® Conclusion The methodology presented today demonstrates how System Engineering can integrate engineering tools with data-driven parametric cost estimating models such as the TruePlanning to conduct complete affordability analysis including sensitivity and risk analysos. Affordability is integrated as an engineering design parameter allowing engineers to rapidly conduct sensitivity and optimization studies. Prior to this integration cost models and engineering tools were for the most part stand alone or difficult to integrate. Measures of Effectiveness and Measures of Performance are linked with Affordability in determining the most cost/effective solutions. 29

© 2012 PRICE Systems, LLC. All Rights Reserved. 30 Zachary Jasnoff - Solutions Architect, PRICE Systems, Rosslyn VA Over 25 years parametric and detailed estimating experience Past estimating experience includes: Lockheed-Martin Boeing US GAO JPMorgan (Risk and Resiliency) Graduate of Wharton/Penn Engineering Conducted extensive consulting assignments with DARPA, DHS and DoD Presented courses in –hardware estimating, –software estimating, –life cycle cost, –Cost Estimating Relationships, –Information Technology, –risk analysis and –supplier assessment Developed TCO/Risk model for the banking industry Presented papers at DoDCAS, ISPA/SCEA, ISACA, DJR and PRICE Systems Symposiums