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 Levers for Improvement CRU Computer Rentals S. Chopra/Process Flows 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/Process Flows 2 Operational Performance Measures • • • • • Flow time Throughput Inventory Process Cost Quality S. Chopra/Process Flows 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 x Weighted average cost of capital Price x Quantity Reduce time Operational metrics Financial metrics S. Chopra/Process Flows 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] • Inventory = Throughput x Flow Time I = RxT • Turnover = Throughput / Inventory = 1/ T S. Chopra/Process Flows 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/Process Flows 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/Process Flows 7 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/Process Flows 8 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/Process Flows 4.1 1.9 4.0 146.9 9 MBPF Inc.: Inventory and Cost of Goods INVENTORY Raw materials (roof) Fabrication WIP (roof) Purchased parts (base) Assembly WIP Finished goods TOTAL 6.5 15.1 8.6 10.6 9.8 50.6 COST OF GOODS SOLD Raw materials Fabrication (L&OH) Purchased parts Assembly(L&OH) TOTAL 50.1 60.2 40.2 25.3 175.8 S. Chopra/Process Flows 10 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/Process Flows 11 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/Process Flows 12 Flow rate R ($/week) 5.0 3.38 Accounts Assembly Receivable 2.12 Fabrication 0.96 0.77 Purchased Parts 11.12 Finished Goods Raw Materials 6.75 7.12 S. Chopra/Process Flows 3.14 2.90 5.80 Flow Time T (weeks) 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/Process Flows 14 CRU Computer Rentals S. Chopra/Process Flows 15 Case: CRU Computer Rentals Flow Chart Status 40 Ship Receiving 30% Repairs 70% Status 24 Customer 15% Status 41 Pre-Config Parts places order Receives from Supplier Status 32 Ship Config Status 20 S. Chopra/Process Flows Repairs Status 42 16 CRU Situation in Previous Year: Customer term = 8 wks, Demand = 1000 units/wk Customer Throughput 1,000 (units/week) Receiving Status 24 Status Parts Suppliers 40 Status 41 Status 42 Status 20 1,000 700 300 + 105 = 405 405 405 405 405 1,000 Inventory (units) 8,000 500 1,500 1,000 500 405 500+405 = 905 500 2,000 Flow Time (weeks) 8.0 0.5 2.14 2.47 1.23 1 2.23 1.23 2 S. Chopra/Process Flows 17 • • • • • CRU Situation in Previous Year: Financial Performance Number of units on rent = 8,000 Total number of units = 14,405 Utilization = 0.56 (56%) Revenue rate = 8,000 x 30 = $240,000/wk Variable Cost rate = 25 x 1,000 (R) + 25 x 1,000 (S) + 4x700x.85 + 150 x 405 = $113,130/wk • Contribution Margin = $126,870/wk • Depreciation = 14,405 x ($1000/156wks) = $92,340/wk – bottomline = $126,870-$92,340 = $34,530 S. Chopra/Process Flows 18 CRU Situation in Current Year: flow times unchanged, Demand = 1400 units/wk Customer Throughput 1,400 (units/week) Receiving Status 24 Status Parts Suppliers 40 Status 41 Status 42 Status 20 1,400 980 567 567 567 567 567 1,400 Inventory (units) 8,000 700 2,100 1,400 700 567 1,267 700 2,800 Flow Time (weeks) 5.7 0.5 2.14 2.47 1.23 1 2.23 1.23 2 S. Chopra/Process Flows 19 CRU Situation in Current Year: flow times unchanged, Demand = 1400 units/wk • • • • • Number of units on rent = 8,000 Total number of units = 16,967 Utilization = 0.47 (47%) Revenue = 4,800 x 30 + 3,200 x 35 = $256,000/wk Cost = 25 x 1,400 (R) + 25 x 1,400 (S) + 4 x 980x .85 + 150 x 567 = $158,382/wk • Contribution Margin = $97,618/wk • Depreciation = 16,967 x (1000/156) = $108,763/wk – bottomline = $97,618 - $108,763 = -$11,145 S. Chopra/Process Flows 20 CRU Potential situation in Current Year: without sales drive, Demand = 600 units/wk Customer Receiving Status 24 Status 40 Parts Suppliers Status 41 Status 42 Status 20 Throughput (units/week) 600 600 420 243 243 243 243 243 600 Inventory (units) 4,800 300 900 600 300 243 543 300 1,200 Flow Time (weeks) 8 0.5 2.14 2.47 1.23 1 2.23 1.23 2 S. Chopra/Process Flows 21 CRU Potential situation in Current Year: • • • • • without sales drive, Demand = 600 units/wk Number of units on rent = 4,800 Total number of units = 8,643 Utilization = 0.56 (56%) Revenue = 4,800 x 30 = $144,000/wk Cost = 25 x 600 (R) + 25 x 600 (S) + 4x420x .85 + 150 x 243 = $67,878/wk • Contribution Margin = $76,122/wk • Depreciation = 8,643 x (1000/156) = $55,404/wk – bottomline = $76,122 - $55,404 = $20,718 S. Chopra/Process Flows 22 Learning Objectives Basic Process Analysis • Process Measures: time, inventory, and throughput • What is an improvement? – Link financial measures to operational ones – Good operational measures are leading indicators of financial performance • Using Little’s law for process flow analysis • Targeting areas and performance measures for improvement; link financial and operational flows S. Chopra/Process Flows 23