RMSP Courses:
Many RMSP short courses can be provided in a corporate setting. Please contact Russ Vacante (russv@comcast.net) for specific information on any of the courses listed on the reference file.
The following courses are listed in alphabetical order by the Instructor’s surname.
Click here for a printable copy of this catalog.
Test & Evaluation for Life Cycle Supportability
This workshop is intended for program managers and technical managers who desire to learn more about how the Test & Evaluation function supports engineering development when planning for system supportability throughout the entire life cycle. The course includes a thorough examination of the DoD Test & Evaluation Process, and will answer some important questions:
| 1) | How much testing is enough? |
| 2) | What areas should be tested by the government? What areas should be tested by the contractor? |
| 3) | How can the government and the contractor work better together to address testing and other engineering development issues? |
| 4) | For statistically based evaluations, when is it appropriate to use a binomial distribution, or an exponential distribution? |
| 5) | What assumptions must you accept to use either statistical distribution? |
| 6) | What is the concept of statistical “confidence” and, how is it used? The course includes a problem solving session. |
Instructor:
Paul Alfieri
Course Duration: 1 day
Risk Management in the RMS/Systems Engineering Environment
This course will
review the basics of the Systems Engineering Life Cycle Model, with particular
emphasis on control mechanisms providing oversight to managers. Specific tools
to be examined will be:
This will be a hands-on workshop with case-based/problem solving scenario.
Students are encouraged to bring to class their real-life experiences to explore,
analyze, and evaluate. This course will integrate these concepts and the application
of RMS as these disciplines influence Total Life Cycle Costs.
Instructor: Paul
Alfieri
Course Duration: 1 day
Implementing Performance Based Logistics
Fast-paced course integrates principles, policies and practices for implementing Performance Based Logistics (PBL) through enhanced Reliability, Maintainability and Supportability. Highlights key PBL concepts and motivation for government and industry to improve sustainment strategies for defense weapon systems. Summarizes Department of Defense directives and guidance concerning PBL implementation and describes examples from new systems and legacy sub-systems. Incorporates interactive team exercises to reinforce key activities like selecting a Product Support Integrator and developing Performance-Based Agreements. Also includes demonstration of additional PBL learning resources.
Instructor: Steve
Brown
Course Duration: 1 day
Reliability Engineering: Design for Reliability (DFR)
The objectives
of this workshop include:
| 1) | Defining reliability and when to apply reliability into the design effort; |
| 2) | Translating failure data into basic reliability information; |
| 3) | Explaining the various reliability distributions including the Weibull distribution basics; |
| 4) | Describing how to make reliability better and the various methods of reliability testing. |
You will benefit from this training by learning how to reduce product warranty costs, improve customer satisfaction through detailed requirements specifications, develop test plans as part of the Product Development Process (PDP) that minimize risks, and provide accurate budgets with decreased development cycle times meeting program schedule goals and customer commitment dates.
Instructors:
Lou Gullo, Ari Jain, Vlad Crk, Sam Keene
Course Duration: 1 day
Making the Right Decision
This course provides a systematic approach for assessing multiple objectives and criteria for selecting the most appropriate alternative based on the system. The course introduces system engineering concepts as applied to the decision making process. The course covers the Even-Swap Method and Trade/Optional Analysis as applied systems.
Instructor:
Gerard Ibarra
Course Duration: 1 day
Reliability – The Hidden Ingredient in Logistics
This course provides an introduction to the concepts, methodologies, and techniques of using reliability analysis in logistics systems. The course covers basic concepts in reliability, mean time between failures (MTBF), Mean Time to Repair (MTTR), Fault Modes, Effects Analysis (FMEA), Fault Tree Analysis (FTA), and their relations to logistics. Emphasis is on application of reliability analyses and its correlation to logistics systems.
Instructor: Gerard
Ibarra
Course Duration: 2 days
Systems Engineering in Logistics
This course provides an introduction to concepts, methodologies, and techniques for the assessment, development, and management of logistics functions. Specific topics include forecasting, staffing, production rates, return on investment, and reliability, spare parts, inventory, and maintenance analysis. Emphasis is placed on application of systems engineering methods and techniques to logistics systems engineering and analysis.
Instructor; Gerard
Ibarra
Course Duration: 6 days
(This course can be presented in six separate units.)
Logistics Engineering Workshop
This comprehensive hands on workshop will familiarize participants with Reliability, Maintainability and Availability (RM&A) concepts, mathematical tools, and analytical methodologies. The sequence of presentation incorporates workshop case exercises for RM&A analysis, prediction, allocation, demonstration and measurement. Logistics engineering interface disciplines will be covered, including quantitative approaches attendant to Quality Control, Safety Engineering and Operations Analysis. For the case exercises, each participant must bring an electronic hand-held calculator with a scientific-engineering keyboard. The Instructor will provide specific guidance for use of the calculators.
Instructor: John
Langford
Course Duration: 2 days
Performance Based System Engineering- Cornerstone for Logistics Performance
This workshop emphasizes Systems Engineering during the system design and development phase prior to production, deployment and operations as the critical prerequisite to cost effective, long term logistics supportability after Life Cycle Milestone C. Inasmuch as RM&A performance parameters achieved during design and development set the baseline for downstream logistics support, the course embodies the concept of Performance Based Systems Engineering as the logical bridge to Performance Based Logistics. The course focuses on identification of RM&A key performance parameters (KPPs), development of KPP metrics, formulation of incentive structures, and the contractual tools during the pre-Milestone C design and development process, so as to maximize potential system performance. It demonstrates linkage between critical system effectiveness parameters and metrics for performance incentives, as well as key indicators for long-term logistics system responsiveness and effectiveness. The workshop exercise highlights the beneficial effects for life-cycle cost and effectiveness of the logistics support infrastructure. Included are details of performance incentive schedules and evaluation methodology for systems engineering elements, the analytical techniques of which are transferable to Performance Based Logistics. The course is derived from current DOD policies, regulations and acquisition guidance. For the workshop exercise, each participant must bring an electronic hand-held calculator with a scientific-engineering keyboard. The Instructor will provide specific guidance for use of the calculators.
Instructor: John
Langford
Course Duration: 1 day
A Top-Level, Integrated Approach to Supportability Engineering
The logistician
faces many questions: When and what Supportability Analyses are needed? How
do I make, communicate and document the logistics supportability decisions
necessary to effectively & efficiently support the system? How can I generate
defensible supportability engineering requirements compatible with my logistics
supportability decisions? What further supportability tasks & data are
needed in subsequent phases to lower logistics risk? How do I get these on
contract? Can [and should] logistics risk be further reduced by testing before
system deployment/fielding? How should I effectively interface with the design
engineers, program managers, budgetary analysts, contract specialists and
testers to accomplish all this and more in the normal course of the systems
acquisition process?
Good logistics is disciplined common sense. A totally integrated effort is
necessary to conceive, determine, defend, and implement a logistics support
program. This session demonstrates a common sense tool that provides the discipline,
traceability and [more importantly] ability to integrate and defend the components
of a solid supportability program. This session will first introduce the tool
and then apply the tool to a contemporary case study that will address real-world
challenges and applications.
Instructor: Paul
McIlvaine
Course Duration: 1 day
Relating Reliability, Maintainability & Supportability to Improving Readiness and Reducing Life Cycle Costs
This course starts the coverage of relationships between operational availability (Ao) and readiness rates, how reliability, maintainability and supportability impact Ao, a listing of sub-metrics that drive readiness and Ao and finishes with a diagram showing how readiness impacts system effectiveness and operational effectiveness. Then it touches on reliability, availability, maintainability (RAM) and supportability analysis for analyzing requirements. The next topics will cover RAM driven cost effective sparing to availability, maintenance concept optimization and life cycle support costs and analysis concepts for managing the reduction of life cycle costs in acquisitions. A set of existing, linked models that can significantly improve DoD acquisition logistics policy implementation during equipment development prior to fielding is a part of this topic. The next topic will cover depot level source of repair and business case analyses driven by RAM and supportability cost data. Definitions and high level metrics that may be applied to the five OSD Performance Based Logistics metrics will be covered. If desired and time permitted, a final topic will introduce Quantity Discount, Economic Order Quantity buys and wholesale level inventory concepts for acquisitions that occur later in the life cycle.
Instructor:
Bernard Price
Course Duration: 1 day
Managing Design for Reliability
To manage the design process which aims at writing clear system specifications to ensure reliability of the total system including the integration with maintainability, system safety, human factors, and logistics. Program will include intensive hand-on in-class exercises.
Instructor:
Dev Raheja or Lou Gullo
Duration: 2 days
System Safety: Principles and Best Practices
To implement system safety principles proactively and efficiently. This combination of lectures and workshops is intended for beginning level engineers and intermediate level practitioners in design and safety. Technical managers in all engineering fields will find it a good overview of system safety.
Instructor:
Dev Raheja
Duration: 2 days
Reliability for Systems of Systems
Introduce students
to the current concepts of Systems of Systems as they are being used in evolving
DoD programs and the requirements for implementing these concepts, as they
are needed. Explain key concepts associated with the relationships between
a Family of Systems and a System of Systems and understand the motivations
linked to a suggested Federated System of Systems environment. Discuss capably
the requirements for developing DoD
Architecture Framework Products that account for more than the material solution,
as well as System of Systems solutions that that consider the user and stakeholder
in addition to the policies and procedures.
Instructor:
James Rodenkirch
Duration: 1 Day
