Operations Management: Process Analysis and Applications Module Changing Sources of Competitive Advantage Targeting Improvement: Operational Measures - Time T, Inventory I, Throughput rate R » Link through Little’s Law » Link to Financial Measures » Targeting improvement: CRU Computer Rentals Capacity and Flow Time Analysis » Pizza Pazza » Levers for Improvement Multi-product Capacity Management and Investment » Joint Marketing & Production Decisions » Optimal Capacity Investment » National Cranberry Cooperative S. Chopra/Operations/Process Analysis & Apps 1 How can operations help a company compete? The changing sources of competitive advantage Low Cost & Scale Economies (< 1960s) – You can have any color you want as long as it is black Focused Factories (mid 1960s) Flexible Factories and Product variety (1970s) – A car for every taste and purse. Quality (1980s) – Quality is free. Time (late 1980s-1990s) – We love your product but where is it? – Don’t sell what you produce. produce what sells. S. Chopra/Operations/Process Analysis & Apps 2 What is Improvement? Operational Performance Measures Flow time Throughput Inventory Process Cost Quality S. Chopra/Operations/Process Analysis & Apps 3 The business imperative: creating economic value Improvement levers 1. 2. Increase price Increase throughput Costs Material + Labor + Energy + Overhead 3. 4. Reduce costs Improve quality Capital invested PP&E + Inventory + Other 5. 6. Reduce capital intensity Reduce inventory Revenues Profit Economic value added (EVA) - - Opportunity cost Financial metrics S. Chopra/Operations/Process Analysis & Apps x Weighted average cost of capital Price x Quantity Reduce time Operational metrics 4 Relating operational measures (flow time T, throughput R & inventory I) with Little’s Law Inventory I ... Flow rate/Throughput R [units] ... ... [units/hr] ... ... Flow Time T [hrs] Flow time = Inventory / Throughput T = I/R Turnover = Throughput / Inventory = 1/ T S. Chopra/Operations/Process Analysis & Apps 5 Process Flow Examples Customer Flow: Taco Bell processes on average 1,500 customers per day (15 hours). On average there are 75 customers in the restaurant (waiting to place the order, waiting for the order to arrive, eating etc.). How long does an average customer spend at Taco Bell and what is the average customer turnover? Job Flow: The Travelers Insurance Company processes 10,000 claims per year. The average processing time is 3 weeks. Assuming 50 weeks in a year, what is the average number of claims “in process”. Material Flow: Wendy’s processes an average of 5,000 lb. of hamburgers per week. The typical inventory of raw meat is 2,500 lb. What is the average hamburger’s cycle time and Wendy’s turnover? S. Chopra/Operations/Process Analysis & Apps 6 Process Flow Examples Cash Flow: Motorola sells $300 million worth of cellular equipment per year. The average accounts receivable in the cellular group is $45 million. What is the average billing to collection process cycle time? Question: A general manager at Baxter states that her inventory turns three times a year. She also states that everything that Baxter buys gets processed and leaves the docks within six weeks. Are these statements consistent? S. Chopra/Operations/Process Analysis & Apps 7 Targeting Improvement MBPF Inc.: Consolidated Statement Net Sales 250.0 Costs and expenses Cost of Goods Sold Selling, general and administrative expenses Interest expense Depreciation Other (income) expenses TOTAL COSTS AND EXPENSES 175.8 47.2 4.0 5.6 2.1 234.7 INCOME BEFORE INCOME TAXES PROVISION FOR INCOME TAXES NET INCOME 15.3 7.0 8.3 RETAINED EARNINGS, BEGINNING OF YEAR LESS CASH DIVIDENDS DECLARED RETAINED EARNINGS AT END OF YEAR 31.0 2.1 37.2 NET INCOME PER COMMON SHARE DIVIDEND PER COMMON SHARE 0.83 0.21 S. Chopra/Operations/Process Analysis & Apps 8 Targeting Improvement MBPF Inc.: Balance Sheet CURRENT ASSETS Cash Short-term investments at cost (approximate mkt.) Receivables, less allowances of $0.7 mil Inventories Other current assets TOTAL CURRENT ASSETS 2.1 3.0 27.9 50.6 4.1 87.7 PROPERTY, PLANT AND EQUIPMENT (at cost) Land Buildings Machinery and equipment Construction in progress Subtotal Less accumulated depreciation NET PROPERTY, PLANT AND EQUIPMENT 2.1 15.3 50.1 6.7 74.2 25.0 49.2 Investments Prepaid expenses and other deferred charges Other assets TOTAL ASSETS S. Chopra/Operations/Process Analysis & Apps 4.1 1.9 4.0 146.9 9 Targeting Improvement MBPF Inc.: Inventory and Cost of Goods INVENTORY Raw materials (roof) Fabrication WIP (roof) Purchased parts (base) Assembly WIP Finished goods TOTAL COST OF GOODS SOLD Raw materials Fabrication (L&OH) Purchased parts Assembly(L&OH) TOTAL S. Chopra/Operations/Process Analysis & Apps 6.5 15.1 8.6 10.6 9.8 50.6 50.1 60.2 40.2 25.3 175.8 10 Targeting Improvement MBPF Business Process Flows $60.2/yr $50.1/yr $6.5 Raw Materials (roofs) $40.2/yr $25.3/yr $110.3/yr $15.1 Fabrication (roofs) $8.6 $10.6 Assembly $175.8/yr $9.8 $175.8/yr Finished Goods $40.2/yr Purchased Parts (bases) S. Chopra/Operations/Process Analysis & Apps 11 Targeting Improvement MBPF Inc.: Flow Times Throughput R $/Year $/Week Inventory I ($) Flow Time T = I/R (weeks) Raw Materials Fabrication Purchased Parts Assembly Finished Goods 50.1 0.96 6.5 6.75 110.3 2.12 15.1 7.12 40.2 0.77 8.6 11.12 175.8 3.38 10.6 3.14 175.8 3.38 9.8 2.90 S. Chopra/Operations/Process Analysis & Apps 12 Targeting Improvement Flow rate R ($/week) 5.0 3.38 Assembly Accounts 2.12 Fabrication 0.96 0.77 Purchased Parts 11.12 Receivabl e Finished Goods Raw Materials 6.75 7.12 3.14 2.90 5.80 Flow Time T (weeks) S. Chopra/Operations/Process Analysis & Apps 13 Why the Difference in Performance? Inventory Over Last 8 Quarters (Ending Q3 2001) 6000 5000 Inventory 4000 Nokia Ericsson Motorola 3000 2000 1000 0 0 1 2 3 4 5 6 7 8 9 Quarter S. Chopra/Operations/Process Analysis & Apps 14 CRU Computer Rentals S. Chopra/Operations/Process Analysis & Apps 15 Learning Objectives Basic Process Analysis Process Measures: time, inventory, and throughput What is an improvement? – Link financial and operational measures – Good operational measures are leading indicators of financial performance Using Little’s law for process flow analysis Targeting areas and performance measures for improvement S. Chopra/Operations/Process Analysis & Apps 16 Operations Management: Process Analysis and Applications Module Changing Sources of Competitive Advantage Operational Measures: Time T, Inventory I, Throughput rate R » Link through Little’s Law » Link to Financial Measures » Targeting Improvement: CRU Computer Rentals Capacity and Flow Time Analysis » Pizza Pazza » Levers for Improvement Multi-product Capacity Management and Investment » Joint Marketing & Production Decisions » Optimal Capacity Investment » National Cranberry Cooperative S. Chopra/Operations/Process Analysis & Apps 17 Operational Performance Measures How to measure and decrease flow times? How to measure and increase throughput? S. Chopra/Operations/Process Analysis & Apps 18 Pizza Pazza Flow Chart S. Chopra/Operations/Process Analysis & Apps 19 Process Architecture is defined and represented by a process flow chart: Process = network of activities performed by resources 1. Process Boundaries: – input – output 2. Flow unit: the unit of analysis 3. Network of Activities & Storage/Buffers – activities with activity times – routes: precedence relationships (solid lines) 4. Resources & Allocation 5. Information Structure & flow (dashed lines) S. Chopra/Operations/Process Analysis & Apps 20 Operational Measure: Flow Time Driver: Critical Activity Times (Theoretical) Flow Time Critical Activity Flow Time efficiency S. Chopra/Operations/Process Analysis & Apps 21 Most time inefficiency comes from waiting: E.g.: Flow Times in White Collar Processes Industry Process Average Flow Theoretical Flow Flow Time Efficiency Time Time Life Insurance New Policy Application 72 hrs. 7 min. 0.16% Consumer Packaging New Graphic Design 18 days 2 hrs. 0.14% Commercial Bank Consumer Loan 24 hrs. 34 min. 2.36% Hospital Patient Billing 10 days 3 hrs. 3.75% Automobile Manufacture Financial Closing 11 days 5 hrs 5.60% S. Chopra/Operations/Process Analysis & Apps 22 Levers for Reducing Flow Time Decrease the work content of critical activities – work smarter – work faster – do it right the first time – change product mix Move work content from critical to non-critical activities – to non-critical path or to ``outer loop’’ Reduce waiting time. S. Chopra/Operations/Process Analysis & Apps 23 Operational Measure: Capacity Drivers: Resource Loads (Theoretical) Capacity of a Resource Bottleneck Resource (Theoretical) Capacity of the Process Capacity Utilization of a Resource/Process = throughput [units/hr] capacity [units/hr] S. Chopra/Operations/Process Analysis & Apps 24 A Recipe for Capacity Measurements Resource Unit Load Resource Capacity (time/job) Unit Capacity # of units Total Process Resource Capacity Utilization* * assuming system is processing at full capacity S. Chopra/Operations/Process Analysis & Apps 25 Pricing and Capacity Investment: Pans + Rent another oven at €10/hr? Resource cost = €8/hour Material cost = €1.4/pizza Minimum sale price = Contribution margin if sale price is €5 / pizza = S. Chopra/Operations/Process Analysis & Apps 26 Cost Capacity Profile Demand Capacity [units/time] Process Capacity Resource x S. Chopra/Operations/Process Analysis & Apps NCX-10 Furnaces Marginal Investment Cost [$/unit/time] 27 Levers for Increasing Process Capacity Decrease the work content of bottleneck activities – – – – work smarter work faster do it right the first time change product mix Move work content from bottlenecks to non-bottlenecks – to non-critical resource or to third party Increase Net Availability – – – – work longer increase scale (invest) increase size of load batches eliminate availability waste: decrease changeover time S. Chopra/Operations/Process Analysis & Apps 28 Increasing Process Capacity in The Goal “is to increase the capacity of only the bottlenecks” – “ensure the bottlenecks’ time is not wasted” » increase availability of bottleneck resources » eliminate non-value added work from bottlenecks reduce/eliminate setups and changeovers » synchronize flows to & from bottleneck – “ reduce starvation & blockage the load of the bottlenecks (give it to non-bottlenecks)” » move work from bottlenecks to non-bottlenecks » need resource flexibility – unit capacity and/or #of units. » invest S. Chopra/Operations/Process Analysis & Apps 29 Other factors affecting Process Capacity Batch (Order) Sizes Product Mix other managerial policies ... S. Chopra/Operations/Process Analysis & Apps 30 Product Mix Decisions: Pizza Pazza offers 2 products Sale Price of thin crust pizza: Cost of Materials: €5.00/pizza €1.40/pizza Sale Price of deep dish pizza: Cost of Materials: €7.50/pizza €1.90/pizza S. Chopra/Operations/Process Analysis & Apps 31 Product Mix Decisions Processing Times Prepare sauce Prepare dough Prepare pizza Thin Crust 2 mins. 3 mins Deep Dish 5 Resource Jean S. Chopra/Operations/Process Analysis & Apps Bake Pack Receive Total 1 min Load Oven & Set 1 15 1 2 25 3 1 1 29 1 2 42 Jean Jean Jacq+ Oven Oven Jacq Jacq 32 Product Mix Decisions Margin per thin crust pizza = € 3.60 Margin per deep dish pizza = € 5.60 Margin per oven minute from thin crust = 3.60×2 / 16 = € 0.450 Margin per oven minute from deep dish = 5.60×2 / 30 = € 0.373 S. Chopra/Operations/Process Analysis & Apps 33 National Cranberry Cooperative S. Chopra/Operations/Process Analysis & Apps 34 Learning Objectives: Multi-Product Process Analysis & Apps Process measures: – Flow time manage critical activities – Capacity manage bottleneck resources Levers for improving – Flow time manage critical activities » Decrease time in critical activities » Perform activities in parallel » Decrease waiting time – Capacity & Throughput manage bottleneck resources » Decrease unit load of bottleneck resource » Move work from bottleneck to non-bottleneck resource » Increase availability of bottleneck resource Shifting bottleneck » Bottleneck affected by product mix, batch size and other factors » Product profitability based on $ per unit time on bottleneck S. Chopra/Operations/Process Analysis & Apps 35