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# SCOR model

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Proximity of the supplier's partners can have a substantial effect on the SCOR model. In the planning process, the time allotted for transportation is reduced. In case of sourcing, the time takes for manufacturer personnel to reach the suppliers decreases. Making is also positively affected; the supply specifications can be changed at a shorter notice if the supply chain partners are close. If the supply chain partners are close, delivery can be faster.

Similarly, the returns reach the manufacturing firm quickly allowing the manufacturer to modify, repair, or remake the products returned. The major goal of the supply chain management is to reduce supply costs, improve product margins and increase the production capacity of the producers. Nearness of supply chain partners reduces the costs of supply. It will also reduce the time of delivery as well as improve the plan of the SCOR model.

Based on the statement above regarding the proximity of suppliers' partners that impacting the SCOR model. Would you offer few examples to show how your company would decide your partners based on proximity?

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We see the planning process. My company picks plastic pellets from wholesalers because the distance from the manufacturers is too long. Usually, the purchaser drives to the wholesaler, inspects the quantity available at his warehouse and immediately orders the pellets to be picked up in a truck. Had our plant been moved close to plastic pellet makers, our company could have loaded plastic pellets direct ...

#### Solution Summary

This response presents a brilliant discussion on SCOR model

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## Regression Models

4-16 Thirteen students entered the undergraduate business program at Rollins College two years ago. The following table indicates what their grade-point averages (GPAs) were after being in the program for two years and what each student scored on one part of the SAT exam when he or she was in high school. Is there a meaningful relationship between grades and SAT scores? If a student scores a 450 on the SAT, what do you think his or her GPA will be? What about a student who scores 800?

Student SAT Score GPA Student SAT Score GPA
A 421 2.90 H 481 2.53
B 377 2.93 I 729 3.22
C 585 3.00 J 501 1.99
D 690 3.45 K 613 2.75
E 608 3.66 L 709 3.90
F 390 2.88 M 366 1.60
G 415 2.15

4-20 The following data give the selling price, square footage, number of bedrooms, and age of houses that have sold in a neighborhood in the last 6 months. Develop three regression models to predict the selling price base~ upon each of' the other factors individually. Which of these is best?

Selling Price Square Footage Bedrooms Age
64000 1670 2 30
59000 1339 2 25
61500 1712 3 30
79000 1840 3 40
87500 2300 3 18
92500 2234 3 30
95000 2311 3 19
113000 2377 3 7
115000 2736 4 10
138000 2500 3 1
142500 2500 4 3
144000 2479 3 3
145000 2400 3 1
147500 3124 4 0
144000 2500 3 2
155500 4062 4 10
165000 2854 3 3
4-25 A sample of twenty automobiles was taken, and the miles per gallon (MPG), horsepower, and total weight were recorded. Develop a linear regression model to predict MPG using horsepower as the only independent variable. Develop another model with weight as the independent variable. Which of these two models is better? Explain.

MPG Horsepower Weight
37 66 1797
34 63 2199
35 90 2404
32 99 2611
30 63 3236
28 91 2606
26 94 2580
26 88 2507
25 124 2922
22 97 2434
20 114 3248
21 102 2812
18 114 3382
18 142 3197
16 153 4380
16 139 4036

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