1. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.1 Table of Contents CD Chapter 15 (Transportation and Assignment Problems) The P&T Company Distribution Problem (Section 15.1)15.2–15.5 Characteristics of Transportation Problems (Section 15.2)15.6–15.14 Variants of Transportation Problems: Better Products (Section 15.3)15.15–15.17 Variants of Transportation Problems: Nifty (Section 15.3)15.18–15.20 Applications of Transportation Problems: Metro Water (Section 15.4)15.21–15.22 Applications of Transportation Problems: Northern Airplane (Section 15.4)15.23–15.25 Applications of Transportation Problems: Middletown (Section 15.4)15.26–15.28 Applications of Transportation Problems: Energetic (Section 15.4)15.29–15.31 A Case Study: Texago Corp. Site Selection Problem (Section 15.5)15.32–15.46 Characteristics of Assignment Problems: Sellmore (Section 15.6)15.47–15.51 Variants of Assignment Problems: Job Shop (Section 15.7)15.52-15.54 Variants of Assignment Problems: Better Products (Section 15.7)15.55 Variants of Assignment Problems: Revised Middletown (Section 15.7)15.56 Transportation & Assignment Problems (UW Lecture)15.57–15.75 These slides are based upon a lecture to second-year MBA students at the University of Washington that discusses transportation and assignment problems (as taught by one of the authors).

2. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.2 P&T Company Distribution Problem

3. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.3 Shipping Data CanneryOutputWarehouseAllocation Bellingham75 truckloadsSacramento80 truckloads Eugene125 truckloadsSalt Lake City65 truckloads Albert Lea100 truckloadsRapid City70 truckloads Total300 truckloadsAlbuquerque85 truckloads Total300 truckloads

4. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.4 Current Shipping Plan Warehouse From \ To SacramentoSalt Lake CityRapid CityAlbuquerque Cannery Bellingham75000 Eugene565550 Albert Lea001585

5. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.5 Shipping Cost per Truckload Warehouse From \ To SacramentoSalt Lake CityRapid CityAlbuquerque Cannery Bellingham$464$513$654$867 Eugene352416690791 Albert Lea995682388685 Total shipping cost= 75($464) + 5($352) + 65($416) + 55($690) + 15($388) + 85($685) = $165,595

6. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.6 Terminology for a Transportation Problem P&T Company Problem Truckloads of canned peas Canneries Warehouses Output from a cannery Allocation to a warehouse Shipping cost per truckload from a cannery to a warehouse General Model Units of a commodity Sources Destinations Supply from a source Demand at a destination Cost per unit distributed from a source to a destination

7. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.7 Characteristics of Transportation Problems The Requirements Assumption –Each source has a fixed supply of units, where this entire supply must be distributed to the destinations. –Each destination has a fixed demand for units, where this entire demand must be received from the sources. The Feasible Solutions Property –A transportation problem will have feasible solutions if and only if the sum of its supplies equals the sum of its demands. The Cost Assumption –The cost of distributing units from any particular source to any particular destination is directly proportional to the number of units distributed. –This cost is just the unit cost of distribution times the number of units distributed.

8. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.8 The Transportation Model Any problem (whether involving transportation or not) fits the model for a transportation problem if 1.It can be described completely in terms of a table like Table 15.5 that identifies all the sources, destinations, supplies, demands, and unit costs, and 2.satisfies both the requirements assumption and the cost assumption. The objective is to minimize the total cost of distributing the units.

9. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.9 The P&T Co. Transportation Problem Unit Cost Destination (Warehouse):SacramentoSalt Lake CityRapid CityAlbuquerqueSupply Source (Cannery) Bellingham$464$513$654$86775 Eugene352416690791125 Albert Lea995682388685100 Demand80657085

10. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.10 Spreadsheet Formulation

11. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.11 Network Representation

12. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.12 The Transportation Problem is an LP Let x ij = the number of truckloads to ship from cannery i to warehouse j (i = 1, 2, 3; j = 1, 2, 3, 4) Minimize Cost = $464x 11 + $513x 12 + $654x 13 + $867x 14 + $352x 21 + $416x 22 + $690x 23 + $791x 24 + $995x 31 + $682x 32 + $388x 33 + $685x 34 subject to Cannery 1:x 11 + x 12 + x 13 + x 14 = 75 Cannery 2:x 21 + x 22 + x 23 + x 24 = 125 Cannery 3:x 31 + x 32 + x 33 + x 34 = 100 Warehouse 1:x 11 + x 21 + x 31 = 80 Warehouse 2:x 12 + x 22 + x 32 = 65 Warehouse 3:x 13 + x 23 + x 33 = 70 Warehouse 4:x 14 + x 24 + x 34 = 85 and x ij ≥ 0 (i = 1, 2, 3; j = 1, 2, 3, 4)

13. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.13 Integer Solutions Property As long as all its supplies and demands have integer values, any transportation problem with feasible solutions is guaranteed to have an optimal solution with integer values for all its decision variables. Therefore, it is not necessary to add constraints to the model that restrict these variables to only have integer values.

14. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.14 Distribution System at Proctor and Gamble Proctor and Gamble needed to consolidate and re-design their North American distribution system in the early 1990’s. –50 product categories –60 plants –15 distribution centers –1000 customer zones Solved many transportation problems (one for each product category). Goal: find best distribution plan, which plants to keep open, etc. Closed many plants and distribution centers, and optimized their product sourcing and distribution location. Implemented in 1996. Saved $200 million per year. For more details, see 1997 Jan-Feb Interfaces article, “Blending OR/MS, Judgement, and GIS: Restructuring P&G’s Supply Chain”

15. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.15 Better Products (Assigning Plants to Products) The Better Products Company has decided to initiate the product of four new products, using three plants that currently have excess capacity. Unit Cost Product:1234 Capacity Available Plant 1$41$27$28$2475 24029—2375 33730272145 Required production2030 40 Question: Which plants should produce which products?

16. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.16 Transportation Problem Formulation Unit Cost Destination (Product):1234Supply Source(Plant) 1$41$27$28$2475 24029—2375 33730272145 Demand2030 40

17. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.17 Spreadsheet Formulation

18. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.18 Nifty Co. (Choosing Customers) The Nifty Company specializes in the production of a single product, which it produces in three plants. Four customers would like to make major purchases. There will be enough to meet their minimum purchase requirements, but not all of their requested purchases. Due largely to variations in shipping cost, the net profit per unit sold varies depending on which plant supplies which customer. Question: How many units should Nifty sell to each customer and how many units should they ship from each plant to each customer?

19. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.19 Data for the Nifty Company Unit Cost Product:1234 Capacity Available Plant 1$41$27$28$2475 24029—2375 33730272145 Required production2030 40 Question: How many units should Nifty sell to each customer and how many units should they ship from each plant to each customer?

20. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.20 Spreadsheet Formulation

21. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.21 Metro Water (Distributing Natural Resources) Metro Water District is an agency that administers water distribution in a large goegraphic region. The region is arid, so water must be brought in from outside the region. –Sources of imported water: Colombo, Sacron, and Calorie rivers. –Main customers: Cities of Berdoo, Los Devils, San Go, and Hollyglass. Cost per Acre Foot BerdooLos DevilsSan GoHollyglassAvailable Colombo River$160$130$220$1705 Sacron River1401301901506 Calorie River190200230—5 Needed2541.5 (million acre feet) Question: How much water should Metro take from each river, and how much should they send from each river to each city?

22. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.22 Spreadsheet Formulation

23. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.23 Northern Airplane (Production Scheduling) Northern Airplane Company produces commercial airplanes. The last stage in production is to produce the jet engines and install them. –The company must meet the delivery deadline indicated in column 2. –Production and storage costs vary from month to month. Maximum Production Unit Cost of Production ($million) Unit Cost of Storage ($thousand) Month Scheduled Installations Regular TimeOvertime Regular TimeOvertime 11020101.081.1015 2 30151.111.1215 325 101.101.1115 4205101.131.15 Question: How many engines should be produced in each of the four months so that the total of the production and storage costs will be minimized?

24. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.24 Spreadsheet Formulation

25. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.25 Optimal Production at Northern Airplane Month 1 (RT) 2 (RT) 3 (RT) 3 (OT) 4 (RT) Production 20 10 25 10 5 Installations 10 15 25 0 20 Stored 10 5 10 0

26. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.26 Middletown School District Middletown School District is opening a third high school and thus needs to redraw the boundaries for the area of the city that will be assigned to the respective schools. The city has been divided into 9 tracts with approximately equal populations. Each school has a minimum and maximum number of students that should be assigned. The school district management has decided that the appropriate objective is to minimize the average distance that students must travel to school. Question: How many students from each tract should be assigned to each school?

27. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.27 Data for the Middletown School District Distance (Miles) to School Tract123 Number of High School Students 12.21.92.5500 21.41.31.7400 30.51.81.1450 41.20.32.0400 50.90.71.0500 61.11.60.6450 72.70.71.5450 81.81.20.8400 91.51.70.7500 Minimum enrollment1,2001,1001,000 Maximum enrollment1,8001,7001,500

28. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.28 Spreadsheet Formulation

29. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.29 Energetic (Meeting Energy Needs) The Energetic Company needs to make plans for the energy systems for a new building. The energy needs fall into three categories: –electricity (20 units) –heating water (10 units) –heating space (30 units) The three possible sources of energy are –electricity –natural gas –solar heating unit (limited to 30 units because of roof size) Question: How should Energetic meet the energy needs for the new building?

30. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.30 Cost Data for Energetic Unit Cost Energy Need:ElectricityWater HeatingSpace Heating Source of Energy Electricity$400$500$600 Natural gas—600500 Solar heater—300400

31. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.31 Spreadsheet Formulation

32. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.32 Location of Texago’s Facilities Type of FacilityLocations Oil fields1. Several in Texas 2. Several in California 3. Several in Alaska Refineries1. Near New Orleans, Lousiana 2. Near Charleston, South Carolina 3. Near Seattle, Washington Distribution Centers1. Pittsburgh, Pennsylvania 2. Atlanta, Georgia 3. Kansas City, Missouri 4. San Francisco, California

33. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.33 Potential Sites for Texago’s New Refinery Potential SiteMain Advantages Near Los Angeles, California1. Near California oil fields. 2. Ready access from Alaska oil fields. 3. Fairly near San Francisco distribution center. Near Galveston, Texas1. Near Texas oil fields. 2. Ready access from Middle East imports. 3. Near corporate headquarters. Near St. Louis, Missouri1. Low operating costs. 2. Centrally located for distribution centers. 3. Ready access to crude oil via the Mississippi River.

34. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.34 Production Data for Texago Refinery Crude Oil Needed Annually (Million Barrels)Oil Fields Crude Oil Produced Annually (Million Barrels) New Orleans100Texas80 Charleston60California60 Seattle80Alaska100 New site120Total240 Total360Needed imports = 360 – 240 = 120

35. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.35 Cost Data for Shipping to Refineries Cost per Unit Shipped to Refinery or Potential Refinery (Millions of Dollars per Million Barrels) New OrleansCharlestonSeattle Los AngelesGalvestonSt. Louis Source Texas245311 California553134 Alaska573457 Middle East235434

36. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.36 Cost Data for Shipping to Distribution Centers Cost per Unit Shipped to Distribution Center (Millions of Dollars) PittsburghAtlantaKansas CitySan Francisco Refinery New Orleans6.55.568 Charleston7547 Seattle7843 Potential Refinery Los Angeles8632 Galveston5436 St. Louis4315 Number of units needed10080 100

37. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.37 Estimated Operating Costs for Refineries SiteAnnual Operating Cost (Millions of Dollars) Los Angeles Galveston St. Louis 620 570 530

38. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.38 Basic Spreadsheet for Shipping to Refineries

39. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.39 Shipping to Refineries, Including Los Angeles

40. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.40 Shipping to Refineries, Including Galveston

41. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.41 Shipping to Refineries, Including St. Louis

42. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.42 Basic Spreadsheet for Shipping to D.C.’s

43. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.43 Shipping to D.C.’s When Choose Los Angeles

44. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.44 Shipping to D.C.’s When Choose Galveston

45. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.45 Shipping to D.C.’s When Choose St. Louis

46. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.46 Annual Variable Costs Site Total Cost of Shipping Crude Oil Total Cost of Shipping Finished Product Operating Cost for New Refinery Total Variable Cost Los Angeles$880 million$1.57 billion$620 million$3.07 billion Galveston920 million1.63 billion570 million3.12 billion St. Louis960 million1.43 billion530 million2.92 billion

47. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.47 Sellmore Company Assignment Problem The marketing manager of Sellmore Company will be holding the company’s annual sales conference soon. He is hiring four temporary employees: –Ann –Ian –Joan –Sean Each will handle one of the following four tasks: –Word processing of written presentations –Computer graphics for both oral and written presentations –Preparation of conference packets, including copying and organizing materials –Handling of advance and on-site registration for the conference Question: Which person should be assigned to which task?

48. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.48 Data for the Sellmore Problem Required Time per Task (Hours) Temporary Employee Word ProcessingGraphicsPacketsRegistrations Hourly Wage Ann35412740$14 Ian4745325112 Joan3956364313 Sean3251254615

49. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.49 Spreadsheet Formulation

50. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.50 The Model for Assignment Problems Given a set of tasks to be performed and a set of assignees who are available to perform these tasks, the problem is to determine which assignee should be assigned to each task. To fit the model for an assignment problem, the following assumptions need to be satisfied: 1.The number of assignees and the number of tasks are the same. 2.Each assignee is to be assigned to exactly one task. 3.Each task is to be performed by exactly one assignee. 4.There is a cost associated with each combination of an assignee performing a task. 5.The objective is to determine how all the assignments should be made to minimize the total cost.

51. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.51 The Network Representation

52. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.52 Job Shop (Assigning Machines to Locations) The Job Shop Company has purchased three new machines of different types. There are five available locations where the machine could be installed. Some of these locations are more desirable for particular machines because of their proximity to work centers that will have a heavy work flow to these machines. Question: How should the machines be assigned to locations?

53. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.53 Materials-Handling Cost Data Cost per Hour Location:12345 Machine 1$13$16$12$14$15 215—132016 3471067

54. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.54 Spreadsheet Formulation

55. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.55 Better Products (No Product Splitting)

56. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.56 Middletown School District (No Tract Splitting)

57. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.57 The Transportation Problem A common problem in logistics is how to transport goods from a set of sources (e.g., plants, warehouses, etc.) to a set of destinations (e.g., warehouses, customers, etc.) at the minimum possible cost. Given –a set of sources, each with a given supply, –a set of destinations, each with a given demand, –a cost table (cost/unit to ship from each source to each destination) Goal –Choose shipping quantities from each source to each destination so as to minimize total shipping cost.

58. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.58 The Network Representation

59. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.59 Transportation Problem Example A company has two plants (in Seattle and Atlanta) producing a certain product that is to be shipped to three distribution centers (in Sacramento, St. Louis, and Pittsburgh). –The unit production costs are the same at the two plants, and the shipping costs per unit are shown in the table below. –Shipments are made once per week. –During each week, each plant produces at most 60 units and each distribution center needs at least 40 units. Unit Shipping CostDistribution Center SacramentoSt. LouisPittsburgh Plant Seattle$2$6$8 Atlanta$7$5$3 Question: How many units should be shipped from each plant to each distribution center?

60. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.60 Spreadsheet Solution

61. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.61 Shipping from D.C.’s to Customers The same company ships one of its products from its three distribution centers to four different customers –The shipping costs per unit are shown in the table below. –Shipments are made once per week. –During each week, each distribution center has received 40 units. –Customer demand is also shown in the table below. Unit Shipping CostCustomer 1234 Distribution Center Sacramento$8$10$7$11 St. Louis$12$11$9$6 Pittsburgh$10$9$15$10 Customer Demand403025 Question: How many units should be shipped from each distribution center to each customer?

62. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.62 Spreadsheet Solution

63. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.63 Managing the Whole Supply Chain (Plant to D.C. to Customer)

64. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.64 Site Selection The lease is up on their distribution center in St. Louis. They now must decide whether to sign a new lease in St. Louis, or move the distribution center to a new location. One possible new location is Omaha, Nebraska, which is offering a better deal on the lease. Question: Should they move their distribution center to Omaha?

65. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.65 Spreadsheet Solution to Site Selection

66. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.66 Distribution System at Proctor and Gamble Proctor and Gamble needed to consolidate and re-design their North American distribution system in the early 1990’s. –50 product categories –60 plants –15 distribution centers –1000 customer zones Solved many transportation problems (one for each product category). Goal: find best distribution plan, which plants to keep open, etc. Closed many plants and distribution centers, and optimized their product sourcing and distribution location. Implemented in 1996. Saved $200 million per year. For more details, see 1997 Jan-Feb Interfaces article, “Blending OR/MS, Judgement, and GIS: Restructuring P&G’s Supply Chain”

67. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.67 The Assignment Problem The job of assigning people (or machines or whatever) to a set of tasks is called an assignment problem. Given –a set of assignees –a set of tasks –a cost table (cost associated with each assignee performing each task) Goal –Match assignees to tasks so as to perform all of the tasks at the minimum possible cost.

68. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.68 Network Representation

69. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.69 Assignment Problem Example The coach of a swim team needs to assign swimmers to a 200-yard medley relay team (four swimmers, each swims 50 yards of one of the four strokes). Since most of the best swimmers are very fast in more than one stroke, it is not clear which swimmer should be assigned to each of the four strokes. The five fastest swimmers and their best times (in seconds) they have achieved in each of the strokes (for 50 yards) are shown below. BackstrokeBreaststrokeButterflyFreestyle Carl37.743.433.329.2 Chris32.933.128.526.4 David33.842.238.929.6 Tony37.034.730.428.5 Ken35.441.833.631.1 Question: How should the swimmers be assigned to make the fastest relay team?

70. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.70 Algebraic Formulation Letx ij = 1 if swimmer i swims stroke j; 0 otherwise t ij = best time of swimmer i in stroke j Minimize Time = ∑ i ∑ j t ij x ij subject to each stroke swum:∑ i x ij = 1 for each stroke j each swimmer swims 1:∑ j x ij ≤ 1 for each swimmer i and x ij ≥ 0 for all i and j.

71. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.71 Spreadsheet Formulation

72. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.72 Bidding for Classes In the MBA program at a prestigious university in the Pacific Northwest, students bid for electives in the second year of their program. Each of the 10 students has 100 points to bid (total) and must take two electives. There are four electives available: –Quantitative Methods –Finance –Operations Management –Accounting Each class is limited to 5 students. Question: How should students be assigned to the classes?

73. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.73 Points Bid for Electives Electives Student Quantitative MethodsFinance Operations ManagementAccounting George6010 20 Fred20 4020 Ann45 55 Eric5020525 Susan30 10 Liz50 00 Ed7020100 David25 3515 Tony35153515 Jennifer6010 20

74. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.74 Spreadsheet Solution (Maximizing Total Points)

75. McGraw-Hill/Irwin © The McGraw-Hill Companies, Inc., 2008 15.75 Spreadsheet Solution (Maximizing the Minimum Student Point Total)