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Best Value Business Model

Best Value Business Model. www.pbsrg.com. Who we are: PBSRG Overview. Established in 1994 to assist clients in improving the quality of construction. Research has grown into: Information Measurement Theory (IMT): measuring of current conditions to predict future outcomes

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Best Value Business Model

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  1. Best Value Business Model www.pbsrg.com

  2. Who we are: PBSRG Overview • Established in 1994 to assist clients in improving the quality of construction. • Research has grown into: • Information Measurement Theory (IMT): measuring of current conditions to predict future outcomes • Clients implementation of Best-Value Performance Information Procurement System (PIPS) • Organizational Transformation Models • New project management model (alignment/leadership instead of management/influence) PIRMS • New best value model • New information environment (minimize access and flow of information) • Testing of concepts outside of construction • Risk management by using deductive logic, minimization of decision making

  3. PBSRG’s Research Results(Performance Based Studies Research Group) • Worldwide as a leader in Best-Value Systems • Conducting research since 1994 • 168 Publications • 800+Projects • $4.6 BillionServices & Construction • 5% Increase in Vendor profit • 98% On-time, On-Budget, Customer satisfaction • PMI, NIGP, IFMA, IPMA • Tests in Netherlands, Botswana/Africa, Malaysia • ASU – investments of over $100M due to BV

  4. General Dynamics University of Minnesota General Services Administration (GSA) US Solar Heijmans, Netherlands Ministry of Transportation, Netherlands State of Alaska University of Alberta State of Oklahoma State of Idaho Idaho Transportation Department State of Oregon Arizona Parks and Recreation US Army Medical Command USAF Logistics Command University of New Mexico University of Idaho EVIT School District Arizona State University US Corps of Engineers Arizona Public Service (APS) Salt River Project (SRP) Rochester Utility Boise State University Idaho State Lewis & Clark City of Phoenix, AZ City of Peoria, AZ City of Roseville, MN Olmstead County, MN Fann Environmental Brunsfield Fulbright Program /University of Botswana, Africa US Embassy, Bank of Botswana RMIT, Melbourne Australia Aramark, Canon, Qwest, ISP, HP, Chartwells, AP, Pearson Various Contractors and Consultants Research Clients

  5. Working Commission 117 & JournalInternational Efforts & Partners 5 years 15 tests for infrastructure Two major GCs Tongji University Brunsfield Complete Supply Chain Fulbright Scholar University of Botswana PIPS tests RMIT Teaching IMT PBSRG platform

  6. A little theory of thought…

  7. Rules of this Discussion • This is a deductive presentation • Don’t take anything personal!!! • Recommend that you minimize decision making (if you don’t know, use the deductive logic) • Type A and Type C will be discussed. Neither is better than the other. Both are required. Both are just as important as the other.

  8. Information Measurement Theory • IMT Definition: • Measurement of information to predict future outcomes • IMT Objectives: • To minimize the need for decision making • To understand why things happen • To be able to predict future conditions • To minimize the need for data • To optimize results

  9. PRESENT PAST FUTURE 100% Laws 100% Laws 100% Laws LAWSThe Number of Laws of Physics = = Laws are not created…they are discovered

  10. An Event Final conditions Initial conditions Time

  11. Proposal: The Event Can Only Happen One Way Initial conditions Final conditions Time

  12. Deductive Logic • No event has had two outcomes • All event outcomes can be predicted with “all information” (initial conditions/laws) • The more information we have before the event, the easier it becomes to predict the final outcome. • The lack of information that an individual has, will never change the final outcome (it will just prevent that individual from predicting the outcome).

  13. Things caused by a lack of information • Believe in chance • Expectations • Believe in control • Makes decisions • Directs others • Influences others

  14. Cycle of Learning Perceive 100% Information Process Change Apply

  15. Learning SpeedsAll Individuals Learn At Different Speeds Perceive 100% Information Process Change Apply

  16. More “perceptive” perceive at a faster rate, change at a faster rate, and are more accurate with their predictions.

  17. All individuals and organizations have a level of perception that allows them to predict “some” future outcomes.

  18. A B C “Types” of Individuals 100% Perceive 100% Information Change Process Perception of Information Apply 0% Time

  19. A simple model is easy to understand Simplicity is when things look very different Eliminate all areas where things look alike (needs too much decision making) Extremes minimize the decision making To Understand the “A” and the “C” Simplify the Rate of Change Model 100% A B1 Perception of Information B2 C 0% Time

  20. Simplicity: Who perceives more information? 100% A Perception of Information C 0% Time

  21. Type “A” Individual vs. Type “C” Individual • Aligns resources • Makes decisions • Flows more information • Influences • Wants a favor • Doesn’t document • Preplans • Shifts blame to others • Likes to make decisions • Does not prioritize • Uses five words for every one needed A 100% A C C C C Information Level C A C C C C 0% C Time

  22. Type “A” Individual vs. Type “C” Individual • Aligns resources • Very detailed work • Proud of technical skills • Is more expensive • Wants consensus • Likes doing totally new things • Does things they understand • Requests details • Traditional practices • Thinks other people act differently • Believes experts have risk A 100% A C C C C Information Level C A C C C C 0% C Time 22

  23. Type “A” Entity vs. Type “C” Entity 100% • Knows who to work with • Implements leadership training • Measurement of performance • Uses dominant information • Measures • Has a conservative plan • Constantly changes their mind • Use relationships A A C A A Information Level A A C C C 0% Time

  24. RS LS How to Create a KSM Left Side (LS) (Type A) vs. Right Side (RS) (Type C) 100% LS RS A + = Information Level C 0% Time

  25. Where is Control? LS RS 100% A No Control Information Information Level Control No Information C 0% Time

  26. Where is Management? LS RS RS 100% A No Control Leadership Information Information Level Control Management No Information C 0% Time

  27. Decision Making? LS RS RS RS 100% A No Control Leadership Information No Decision Making Information Level Decision Making Control Control Management No Information C 0% Time

  28. Leadership Alignment Efficiency Change the behavior of others Believe in chance Emotion Becomes the expert in the organization Technical Continuous Improvement Freedom Believes in range/diversity Proactive Plot the Following Characteristics LS LS LS RS RS RS RS RS LS LS LS LS LS RS

  29. Logical Overview/Process Details Focuses “why” Focuses “what” Measures Performance Accountable Reactive Telescope “in and out” “What if” Maximize information flow Loves meetings Plot the Following Characteristics LS LS RS LS RS LS LS RS LS RS RS RS LS RS

  30. Does not believe in being controlled Captain of their own ship Can change others “Source of Light” or wisdom to influence all “Mirror” so others can see themselves Can influence anyone Believe in randomness No control over their destiny Feels controlled More activity Incentives Looks inside to improve environment Has a more conducive environment to change Plot the Following Characteristics LS LS RS RS LS RS RS RS RS RS RS LS LS LS RS

  31. Conclusions • The environment is the person • All characteristics can be related to the amount of information • By using extreme values, deductive logic can be used • Type A characteristics are related • To move to a Type A environment, we must minimize Type C characteristics

  32. Questions • Is there anything that happens that is not predictable? • Does anything happen by chance (was not predictable if all the information was known)? • Who is more important to the event, the A or the C? • Is there a random event that has been identified by science? • Why do people like complexity? • Who makes more decisions?

  33. So What is the Big Picture?Where are we going with this?

  34. Cycle of Learning Perceive 100% Information Process Change Apply

  35. Q: When do we know 50% of what we will ever know? 0% Information 100% Information 50% Information? 50% Information? 50% Information? Life Span

  36. Proposal: When we are almost dead. 100% Information (what we will know) 0% Information 50% Information Life Span

  37. Q: How much do we know about everything? 0% Information 100% Information This Much? This Much? This Much? % Known

  38. Proposal: We don’t know very much As for me, all I know is that I know nothing. - Socrates 0% Information 100% Information What we don’t know What we know % of Information

  39. Q: How do we solve what we don’t know? (aka Risk) • Do we use what we know to solve what we don’t know? OR • Do we use logic to solve what we don’t know? 0% Information 100% Information What we don’t know What we know % of Information

  40. A: Logic can be applied without knowledge/experience 0% Information 100% Information What we don’t know Logic % of Information

  41. What is the model? • Identify the expert with as little effort as possible, using measurement and differential • Transfer risk and control to the expert through preplanning and risk minimization, focusing on risk that are not controlled • Hire the expert • Use alignment, planning, & measurement in place of management, control, and direction • Create a performance information environment to drive accountability and change • Proactive vs. Reactive • Supply chain (us mentality) • Logic vs. Experience • Predictable vs. Chance

  42. Industry Performance and Capability Vendor X Customers Highly Trained Outsourcing Owner Partnering Owner Medium Trained Minimal Experience Price Based

  43. An Event Initial conditions Final conditions Laws Laws Time Risk is deviation from expected measurements

  44. Traditional Management Initial conditions Final conditions D1 M&C Laws Laws Time • D1: Client makes decisions on budget, time, and expectation • D2: Client consultant/professional makes more decisions to make expectations true • D3: Vendors attempt to use the lowest possible price to minimize the risk caused by the decision making of client & consultant/professional • M&C: The client attempts to force vendor to make expectations happen D2 D3

  45. New PM and RM Model that Depends on Efficiency Initial conditions Final conditions M4 D1 M3 Laws Laws Time • M1: Measured designed option that more accurately describe the initial conditions replaces D1 • M2: The best value vendor that replaces the client/professional design M1 • M3: WRR/RMP measures deviation • M4: Final performance measurement M1 M2

  46. Micro-Management Performance dictated by technical information Specification is the requirement Inspection by client Client’s professional is the expert and has control No performance measurements Increase flow of information Relationships (partnering, deals, give and take) used to solve issues Need more people (inefficient) No accountability Leadership Performance dictated by performance information Specification is only the intent Quality control by contractor Vendor has control Performance measurements Decrease flow of information High performance vendors used to minimize risk Need less people (efficient) Accountability Inefficiency vs Efficiency Can you make the transition?

  47. Performance-Based Functions III. Negotiated II. Performance-Based High • Treat as a Commodity • Volume Based • No Accountability • Finger Pointing • Management & Inspection • Minimum Standards • Client minimizes risk • Value & Performance • Maximize Profit • Vendor Accountability • Minimized Management & Inspection • Quality Control • Vendor minimizes risk Performance IV. Unstable Market I. Price-Based Competition Low High

  48. Best Value Overview • Complete business model for organizations & projects • A best value selection and management tool (developed and tested over 16 years) • It can be applied to any type of system, organization, structure, procurement, project, or need • Best Value is not just a procurement method. It is a selection and management tool that can be applied in: • Business Services (IT, dining, consultants, equipment, doc mgmt, insurance, etc.) • Facility Services (maintenance, roofing, janitorial, landscaping, supplies, etc.) • Design, bid, build (DBB), Design build (DB), Construction manager at risk (CMAR) • A/E & Design, Job Order Contracting (JOC), Indefinite Delivery Indefinite Quantity • BV is not a computer software package, but rather a combination of IMT principles that allows a client to make an informed decision

  49. What does the Best Value Model do? • Makes things simple (measurement, dominant information) • Minimizes the fuel of bureaucracy (decision making, non-dominant information, management, control, and direction) • Creates transparency • Allows organizations/vendors to be highly efficient and successful • Proposes that to accurately identify what “is” and then to have a plan to efficiently meet the needs will minimize risk

  50. Silo Buster – Make Things Simple 30K Foot Level Simplicity/Dominant Information Contracting Contractors / Manufacturers Planning / Programming Inspectors Designer/Engineering Users Technical Details

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