Matching Supply with Demand: An Introduction to Operations Management Gérard Cachon ChristianTerwiesch All slides in this file are copyrighted by Gerard.

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Matching Supply with Demand: An Introduction to Operations Management Gérard Cachon ChristianTerwiesch All slides in this file are copyrighted by Gerard.
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Matching Supply with Demand: An Introduction to Operations Management Gérard Cachon ChristianTerwiesch All slides in this file are copyrighted by Gerard Cachon and Christian Terwiesch. Any instructor that adopts Matching Supply with Demand: An Introduction to Operations Management as a required text for their course is free to use and modify these slides as desired. All others must obtain explicit written permission from the authors to use these slides.

Link Between Operations and Finance

Paul Downs started making furniture in 1986, in a small shop in Manayunk. Over the years we have outgrown 4 other shops and we now operate a 20,000 sf shop (see below) in Bridgeport, PA. Much of our work is residential, but we also do a lot of office furniture, including desks and conference tables. We complete 125 commissions per year, consisting of about 500 separate pieces of furniture.

Production facility Machines valued about $350k, depreciation $60k p.a. Overall facility is utilized at 100% right now Show rooms and factory: $150k for rent Indirect costs: marketing ($100k, $180k management, $60k finish) Inventory: $50,000 WIP and $20,000 raw material Suppliers need to be paid 1 month before receiving the wood.

Work force 12 cabinet makers each working about (220 days @8h/day) Make $20 per hour A worker needs about 40h per unit of furniture (work-cell) as labor content Spend about 15% of time on set-ups (build fixtures / program machines) Labor utilization around 90% (idle time resulting from waiting)

End Product Average price is $3000 per unit Requires 30kg of wood (wood costs about $10 per kg) before scrap 25% scrap Customer pays 50% down and gets her furniture 3 months later

Creating ROIC (Value, KPI) Trees Volume Setup Growth Labor hours Manufacturing costs per unit Training Yield Value ROIC Indirect labor Job SG&A costs per unit WACC Material Breaks Invested capital per unit Develop value trees Link financial measures to potential value drivers in operations In operations, performance typically focuses on ROIC Develop several versions as there is no “right answer” Explore multiple sub-trees

Value Drivers Value drivers are (operational / “little”) variables in the ROIC tree that have a big impact on ROIC Identify value drivers based on sensitivity analysis in Excel Typical value drivers: If operation currently is capacity constrained (i.e. has high demand), everything that creates additional capacity is powerful utilization / downtime production yields set-up time / other improvement of overall equipment effectiveness (OEE) If operation currently is demand constrained (i.e. has insufficient demand), everything that gets more $’s out of a customer is powerful variety / customization after-sales service / support => innovation But: no general rule exists: your insight is needed

How the Airline Industry Works: Philadelphia (PHL) to Seattle (SEA) on a Boeing 737-700 Distance: 2378 miles (nonstop) Seats on airplane: 137 Available seat miles: 137*2378=325,786 seat miles 120 passengers are on the plane paying an average of $200 for their ticket Revenue passenger miles: 120*2378=285,360 revenue passenger miles Load factor: RPM/ASM=0.876 (percentage of seats sold) Yield: revenue per revenue passenger mile=120*200/285,360=0.08 $/RPM Main cost categories are Labor expenses Fuel expenses Landing fees SGA

Bottom-up / Inside-out Analysis vs Top-down / Outside-in Analysis Return on Invested Capital EBIT Revenue Cost Fixed capital RPM Yield ($/RPM) ASM Load Factor Labor cost Number of planes ASM per plane Wages per employee Employees per ASM Fuel Cost per gallon Gallons per ASM Other Other expenses per ASM Capital per plane Working Other capital Why did SouthWest do so well (to 2001)? Pick three hypotheses and locate them in the tree (only simple tree is shown here)

Using Productivity Ratios: Airline Application Revenue/Cost=Revenue/Output * Output/Capacity * Capacity/Cost Operational yield Transformation efficiency 1/unit cost of capacity Revenue / labor costs = Revenue/RPM * RPM/ASM * ASM / Employee * Employees/Labor costs USAir: 2.43 = 0.197 * 0.70 * 0.37 * 47.35 SW : 3.31 = 0.135 * 0.69 * 0.53 * 67.01 Note: There exists a $25k per year difference in wages (=(1/47.35-1/67.01)*4000 ) Revenue / fuel costs = Revenue/RPM * RPM/ASM * ASM/Gallons * Gallons/fuel costs USAir: 6.21 = 0.197 * 0.70 * 52.3 * 0.86 SW : 3.31 = 0.135 * 0.69 * 60.2 * 1.21 Note: There exists a $0.33 per gallon difference in fuel prices (=(1/0.86 – 1/1.21)) Labor productivity advantage of SW is driven by (a) fewer employees per ASM and (b) lower wages Fuel productivity advantage of SW is driven by (a) fewer gallons per ASM and (b) cheaper fuel

Sizing the Pie: How to Value the Financial Performance Improvement From an Improved Productivity Ratio Cost reduction required to break even $2,444M $284M $198M Cost reduction required to become SW profitable $108M $35M $1,804M Current (2000) USAir OpsExpense at 17212 ASM Savings in wages if SW wage rate is paid Savings in wages if SW productivity is achieved Savings in fuel if SW fuel prices are paid Savings in fuel if SW efficiency is achieved New Ops expense

Strategic Trade-offs No differentiation between the major US carriers Lufthansa Lufthansa USAir American Airlines United Airlines Ryanair Delta SouthWest United Airlines USAir Continental SouthWest NorthWest NorthWest Delta The result of increasing performance pressure and decreasing competitive advantage is that companies must reevaluate how their business and manufacturing strategies fit together. In general, business strategy should drive manufacturing strategy. Each aspect of the manufacturing strategy (what, where, and how) should be examined to see how the overall business strategy can be advanced. By looking at what is manufactured, for example, a company might decide to not make certain things and thereby free up factory floor space, which can in turn act as a catalyst to ultimately restructuring the entire network. The end result of this hypothetical situation would be that unnecessary factories could be closed down to capture overhead savings. This would not have been the result had the company taken only a narrow, tactical approach to reviewing a certain process in a particular factory. A company must have a comprehensive view when examining manufacturing strategy. No differentiation between the major US carriers Efficient frontier: Southwest introduced the high efficiency strategy in the US Ryanair has pushed this to the extreme in Europe following => Choose clean strategies, especially for Lufthansa and Ryanair … … and drive improvement towards the frontier and beyond Note: all numbers are exchange rate adjusted