Question: Scale the supplier criteria values using linear normalization (Simple linearization).

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Problem Description In this case study, you will be working on a supplier ranking problem. It is an actual application for a manufacturing company located in Tijuana, Mexico. Because of confidentiality issues, the data given here have been disguised. The supplier selection criteria and sub-criteria have been defined by the Purchasing Manager as shown in the figure below. Supplier selection Criteria Flexibility Quality Price Service Delivery Sub criteria Process capability Defective parts Distance Lead time Note that flexibility, process capability (Cpk Index), and service have to be maximized, while the other criteria have to be minimized. The company is considering 21 potential suppliers and the supplier data with respect to the criteria are given in Table below. Price ($) C Supplier 1 2 3 4 5 6 7 8 9 50 80 45 60 40 60 65 10 10 (Index) 0.95 2.00 0.83 1.00 1.17 1.50 1.33 1.50 1.00 1.25 0.83 1.00 1.33 1.15 1.33 1.05 1.25 0.95 0.83 1.25 0.83 70 45 70 75 65 80 75 Criteria Values Flexibility Service (%) (%) 10 75 0 100 25 65 15 85 18 90 5 99 0 100 0 50 5 80 10 15 75 0 80 0 2 87 5 86 0 65 5 0 10 89 10 85 0 50 Defective Parts (ppm) 105,650 340 158,650 66,800 22,750 1,350 6,200 1,350 66,800 12,225 158,650 66,800 6,200 22,750 6,200 44,500 12,225 105,650 158,650 12,225 158,650 85 Distance Lead-Time (km) (h/Part) 500 0.25 1,500 0.60 50 0.20 5,000 0.80 9,500 0.95 7,250 0.50 0.10 15,000 1.50 7,500 1.75 12,500 2.00 1,345 1.25 6,680 1.15 5,000 1.00 16,000 0.90 17,000 0.95 1,860 1.50 1,789 1.45 1,775 0.90 2,500 0.75 12,500 1.50 17,500 2.00 85 70 11 12 13 14 15 16 17 18 19 20 21 70 85 70 65 77 55 80 85 Problem Description In this case study, you will be working on a supplier ranking problem. It is an actual application for a manufacturing company located in Tijuana, Mexico. Because of confidentiality issues, the data given here have been disguised. The supplier selection criteria and sub-criteria have been defined by the Purchasing Manager as shown in the figure below. Supplier selection Criteria Flexibility Quality Price Service Delivery Sub criteria Process capability Defective parts Distance Lead time Note that flexibility, process capability (Cpk Index), and service have to be maximized, while the other criteria have to be minimized. The company is considering 21 potential suppliers and the supplier data with respect to the criteria are given in Table below. Price (5) Cok Criteria Values Flexibility Service (%) %) (Index) 50 Supplier 1 2 3 4 5 6 7 8 9 50 80 45 60 40 60 75 100 65 85 90 99 65 100 10 50 80 10 70 45 70 75 65 Defective Parts (ppm) 105,650 340 158,650 66,800 22,750 1,350 6,200 1,350 66,800 12,225 158,650 66,800 6,200 22,750 6,200 44,500 12,225 105,650 158,650 12,225 158,650 85 0.95 2.00 0.83 1.00 1.17 1.50 1.33 1.50 1.00 1.25 0.83 1.00 1.33 1.15 1.33 1.05 1.25 0.95 0.83 1.25 0.83 Distance Lead-Time (km) (h/Part) 500 0.25 1,500 0.60 0.20 5,000 0.80 9,500 0.95 7,250 0.50 0.10 15,000 1.50 7,500 1.75 12,500 2.00 1,345 6,680 1.15 5,000 1.00 16,000 0.90 17,000 0.95 1,860 1.50 1,789 1.45 1,775 0.90 2,500 0.75 12,500 1.50 17,500 2.00 10 0 25 15 18 5 0 0 5 10 15 0 0 2 5 0 5 0 10 10 0 1.25 75 80 80 85 11 12 13 14 15 16 17 18 19 20 21 75 70 87 86 65 70 85 70 65 77 55 SO 85 89 85 50 Problem Description In this case study, you will be working on a supplier ranking problem. It is an actual application for a manufacturing company located in Tijuana, Mexico. Because of confidentiality issues, the data given here have been disguised. The supplier selection criteria and sub-criteria have been defined by the Purchasing Manager as shown in the figure below. Supplier selection Criteria Flexibility Quality Price Service Delivery Sub criteria Process capability Defective parts Distance Lead time Note that flexibility, process capability (Cpk Index), and service have to be maximized, while the other criteria have to be minimized. The company is considering 21 potential suppliers and the supplier data with respect to the criteria are given in Table below. Price ($) C Supplier 1 2 3 4 5 6 7 8 9 50 80 45 60 40 60 65 10 10 (Index) 0.95 2.00 0.83 1.00 1.17 1.50 1.33 1.50 1.00 1.25 0.83 1.00 1.33 1.15 1.33 1.05 1.25 0.95 0.83 1.25 0.83 70 45 70 75 65 80 75 Criteria Values Flexibility Service (%) (%) 10 75 0 100 25 65 15 85 18 90 5 99 0 100 0 50 5 80 10 15 75 0 80 0 2 87 5 86 0 65 5 0 10 89 10 85 0 50 Defective Parts (ppm) 105,650 340 158,650 66,800 22,750 1,350 6,200 1,350 66,800 12,225 158,650 66,800 6,200 22,750 6,200 44,500 12,225 105,650 158,650 12,225 158,650 85 Distance Lead-Time (km) (h/Part) 500 0.25 1,500 0.60 50 0.20 5,000 0.80 9,500 0.95 7,250 0.50 0.10 15,000 1.50 7,500 1.75 12,500 2.00 1,345 1.25 6,680 1.15 5,000 1.00 16,000 0.90 17,000 0.95 1,860 1.50 1,789 1.45 1,775 0.90 2,500 0.75 12,500 1.50 17,500 2.00 85 70 11 12 13 14 15 16 17 18 19 20 21 70 85 70 65 77 55 80 85 Problem Description In this case study, you will be working on a supplier ranking problem. It is an actual application for a manufacturing company located in Tijuana, Mexico. Because of confidentiality issues, the data given here have been disguised. The supplier selection criteria and sub-criteria have been defined by the Purchasing Manager as shown in the figure below. Supplier selection Criteria Flexibility Quality Price Service Delivery Sub criteria Process capability Defective parts Distance Lead time Note that flexibility, process capability (Cpk Index), and service have to be maximized, while the other criteria have to be minimized. The company is considering 21 potential suppliers and the supplier data with respect to the criteria are given in Table below. Price (5) Cok Criteria Values Flexibility Service (%) %) (Index) 50 Supplier 1 2 3 4 5 6 7 8 9 50 80 45 60 40 60 75 100 65 85 90 99 65 100 10 50 80 10 70 45 70 75 65 Defective Parts (ppm) 105,650 340 158,650 66,800 22,750 1,350 6,200 1,350 66,800 12,225 158,650 66,800 6,200 22,750 6,200 44,500 12,225 105,650 158,650 12,225 158,650 85 0.95 2.00 0.83 1.00 1.17 1.50 1.33 1.50 1.00 1.25 0.83 1.00 1.33 1.15 1.33 1.05 1.25 0.95 0.83 1.25 0.83 Distance Lead-Time (km) (h/Part) 500 0.25 1,500 0.60 0.20 5,000 0.80 9,500 0.95 7,250 0.50 0.10 15,000 1.50 7,500 1.75 12,500 2.00 1,345 6,680 1.15 5,000 1.00 16,000 0.90 17,000 0.95 1,860 1.50 1,789 1.45 1,775 0.90 2,500 0.75 12,500 1.50 17,500 2.00 10 0 25 15 18 5 0 0 5 10 15 0 0 2 5 0 5 0 10 10 0 1.25 75 80 80 85 11 12 13 14 15 16 17 18 19 20 21 75 70 87 86 65 70 85 70 65 77 55 SO 85 89 85 50