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Chapter 2 – Influence Diagrams Learn by example Learn vocabulary and grammar 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 1 Two key elements of decision framingoften not considered Multiple Objectives Tradeoffs If NOT upfront then when? Multiple stretch goals tradeoffs too late Uncertainty Risk If you do NOT ADMIT the existence of uncertainty, you cannot manage it If you do not QUANTIFY uncertainty, you cannot decide how much to invest to address its impact 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 2 Elements of a Decision Frame Decision(s): Single, Multiple (Simultaneous or Sequential) Alternatives within each decision Uncertainty Criteria--Goals--Values--Objectives = Context Specific Scope – Time horizon and organizational breadth Decision Makers & Stakeholders Constraints Implicit - restrict range of alternatives Explicit – mathematical representation (not included here) 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 3 Influence Diagram - Communication Explicitly note the existence of randomness and uncertainty Clarify the “main” values or objectives of decision Emphasize the influence of uncertainty on values Specify the sequence of decisions 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 4 Categories of common objectives. Table 2.1 9/19/2011 Min-Costs (variable and investment) Min-Time to complete Max-Profit—NPV, TARR, ROI Min- Risk of not meeting targets Min- Human resources required Min (Max) -Management issues Max-Long-term value Min-Operational issues Max-Performance Sales and/or market share Min-Training requirements ©Chelst & Canbolat Value-Added Decision Making 5 Common uncertainties. Table 2.2 Time needed to complete task or reach goal Performance to specifications Warranty claims and quality control Resources required Competitive actions Cost Is task doable? Market demand Revenue Throughput–productivity Will some specific event occur who will be elected president pandemic occurs 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 6 Framing decision with randomness influence diagrams:Vocabulary 9/19/2011 Decisions = Rectangles/Boxes Random Events = Circles/Ovals Values/Goals Calculation = Rounded rectangle Ultimate goal = Diamond Input/Data = Text box with list Influence = Arrow ©Chelst & Canbolat Value-Added Decision Making 7 Automation Investment Boss Controls Manufacture an option to be made Available to one million purchasers of cars Uncertain take-rate (percent who buy option) Deliver the option to (OEMs) at a price of $60. Two alternatives: differ significantly in investment level automation and variable cost of production 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 8 Automation Investment Take rate Automation Investment Profits Volume Variable Cost Investment 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 9 Automation Investment: Expanded Volumes Take rate Automation Investment Profits Variable Cost 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making Investment 10 Figure 2.5: Theater Party Invitations Percent No Shows Attendees Number Sent Invitations % Yes Responses Maximize Goodwill Invitees Not Attending 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 11 Figure 2.6: Divide and delay decision Theater party invitations Percent of No Shows Attendees % Round 1 Yes % Round 2 Yes Round 1 Invitations Round 2 Invitations Maximize Goodwill Invitees Not Attending 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 12 Influence Diagram Symbols Microsoft PowerPoint Pick appropriate shape: rectangle, oval, rounded rectangle, and diamond. You may want to have specific fill color for each type of box Right click on shape: “Add text” Can specify size of text and place on more than one line. Move shapes to appropriate location. Connect shapes with arrows Be sure to link to a red dot on each shape enables redesign Shapes can be copied and text modified. 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 13 Influence Diagram Construction 9/19/2011 Specify primary decision Define values and ultimate goal Identify relevant random variables or events Specify downstream decisions that need to be analyzed to make primary decision Add arrows to define relationships Review layout List data inputs ©Chelst & Canbolat Value-Added Decision Making 14 Influence Diagram Arrows from Random Events: Connectors in PowerPoint Example : Late to Market with New Product Case: A company is considering developing a product that will be ready 3 months after its competitor introduces a similar product. Random Event to Random Event – Conditional probability Competitive Action Sales Volumes Random Event to Value – Random event directly influences the VALUE. The value will be uncertain. Sales Volumes 9/19/2011 Total Revenue ©Chelst & Canbolat Value-Added Decision Making 15 Influence Diagram Arrows from Random Events Example : Late to Market with New Product Random event to decision: Random event’s outcome is KNOWN before decision is to be made. Competitor’s Price Launch Price NEVER use an arrow from a circle to a decision to represent the fact that the decision is affected by the random event. This is the most common ERROR. The arrow shows that the outcome of the chance node is known before the decision is made Absence of an arrow from the chance node to the decision node does NOT mean that the uncertainty does not influence the decision. Everything in the diagram affects the decision 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 16 Influence Diagram Arrows from decisions Decision to Decision - decision sequence (possibly influence) Product Features Price Decision to Random Event Price influences sales volume Sales Volume Price 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 17 Influence Diagram Arrows from Random Events Decision to Value – Decision directly influences value Pricing decision influences total revenue Indirectly: by affecting sales volume and Directly: since price sales = Total Revenue Sales Volume Price Total Revenue 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 18 Influence Diagram: value to value Total Revenue Net profit Total Cost If Total Revenue and/or Total Cost are influenced by random events then the Net Profit will be an uncertain value. However, once the other two values are known, Net Profit is no longer uncertain. 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 19 Late to market with new product: 1st lay out elements without arrows Competitor’s Price Sales Volume Develop product Product Features Total Revenue Launch Price All elements influence the decisions: to develop the product, its features & price 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making Net Profit Total Cost Engg. rates Labor rates Throughput 20 Late to market with new product – Add arrows Competitor’s Price Sales Volume Develop product Product Features Total Revenue Launch Price All elements influence the decisions: to develop the product, its features & price 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making Net Profit Total Cost Engg. rates Labor rates Throughput 21 Modified Diagram? Competitor’s product performance Develop product Competitor’s features Engg. rates Labor rates Throughput 9/19/2011 Sales Volume Competitor’s Price Product Features Economy Launch Price Total Revenue Actual Price Net Profit PD Costs Manufacturing Cost ©Chelst & Canbolat Value-Added Decision Making Total Cost 22 What New Objectives Might be Added Maximize Market Share Maximize Utilization of plant capacity Minimize adding to labor workforce (Headcount) Change overall goal – No longer just net profit – “value to corporation” 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 23 Influence Diagram: Is not a Flow Diagram! All elements of an Influence Diagram are analyzed and influence the decisions even if there are no nodes connected to the decisions Forecasts of downstream uncertainties affect upstream decisions even without arrows linking the nodes. 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 24 Limited Influence Diagram Mainly uncertainties and only one or two objectives Project management complete project as planned (within time and budget) Mainly multiple objectives and limited uncertainty New car 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 25 Figure 2.15: Buying a used car – value focused Color Interior Condition Aesthetics Exterior Condition Odometer Mileage Reliability Consumer Reports Maintenance Needed Miles per Gallon Choose the Best Car Value Purchase Price A/C and Heater Total Cost Price of Gasoline Seating Capacity Longevity Accessories Sound System 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 26 Figure 2.16: Used car revised – new information Longevity Total Cost Vehicle History Report Mechanic’s Report Choose the Best Two Cars Maintenance Needed Reliability Choose the Best Car Value Other Objectives 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 27 Figure 2.17: Oglethorpe diagram 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 28 ALL Elements Represented in the Diagram Influence the Decisions Probabilistic forecasts of sales and the competitor’s price will affect forecasts of revenue and profit. These will influence the decisions: Whether or not to introduce the product? With what features? And at what price? 9/19/2011 ©Chelst & Canbolat Value-Added Decision Making 29