Technology and information management
Shaer Munir
2/6/18
TIM 125
HW 4
TIM 125/225, MOT II: Homework 4
Adaptive Forecasting and Cycle Inventory
Qualitative Problems:
1) Cycle Inventory: SCM, 4th, D10.1, 10.2, D10.3
1. Define
a. In this problem, we must answer the discussion questions from the text book and use the book as a resource
2. Plan
a. I will read lecture notes and the chapters in the book to help me with this problem.
3. Execute
a. When it come to the replenishment order cycle, the various costs incurred must be considered. There are three costs that should be considered and they are material costs, order costs, and holding costs. Material costs are the price of the inventory which is to be purchased. It is typically a fixed cost. Order costs are incurred when the order is placed and includes factors such as shipping, receiving costs, etc. When deciding on replenishment orders the amount is crucial to minimize the costs in the long term. Lastly the holding cost, which stems from abundance when replenishing, refers to the cost of holding inventory for a period.
b. ALL the various costs here are affected by a decrease in lot size in the following ways. Ordering costs have the potential of changing, and typically can be seen increasing when experience a decrease in lot size. This would be since larger orders typically cost less on average per unit due to various factors. Holding costs would experience a decrease because they would not be able to move the units and they would just sit in their warehouse. This can cause the warehouse or lot to hold less new incoming units since they have the old units still in their lot.
c. When demand increases, there would be a need to fill more order and that means they would need more inventory which then would lead to an increase in the size of the lot. Cycle inventory would increase in this situation.
4. Check your work
a. To my knowledge, my work is correct
5. Learn and Generalize
(a) After completing this problem, I have a better understanding on how to do work with inventory management.
2) Tahoe Salt (Chapter 7 continued) Forecast demand using the: Holt and Winter Adaptive Forecasting methods. Your solutions should match the solutions in the book.
(1) Define
(a) Forecast demand using the: Holt and Winter Adaptive Forecasting methods. Your solutions should match the solutions in the book.
(2) Plan
(a) For this problem, I will Use the Tahoe Salt data to forecast the demand using Holt’s forecasting method as well as the Winter’s forecasting method.
(3) Execute
The spreadsheet table below are the results that I have obtained from the completing the Holt’s and winters model. I have exported the results from the Excel sheet I have created to work this solution.
|
Period t |
Demand Dt |
Level Lt |
Trend Tt |
Forecast Ft |
Error Et |
Absolute Error At |
Mean Squared Error MSEt |
MADt |
% Error |
MAPEt |
TSt |
|
0 |
|
12,015 |
1,549 |
|
|
|
|
|
|
|
|
|
1 |
8,000 |
13,008 |
1,438 |
13,564 |
5,564 |
5,564 |
30,958,096 |
5,564 |
70 |
69.55 |
1.00 |
|
2 |
13,000 |
14,301 |
1,409 |
14,445 |
1,445 |
1,445 |
16,523,523 |
3,505 |
11 |
40.33 |
2.00 |
|
3 |
23,000 |
16,439 |
1,555 |
15,710 |
-7,290 |
7,290 |
28,732,318 |
4,767 |
32 |
37.46 |
-0.06 |
|
4 |
34,000 |
19,594 |
1,875 |
17,993 |
-16,007 |
16,007 |
85,603,146 |
7,577 |
47 |
39.86 |
-2.15 |
|
5 |
10,000 |
20,322 |
1,645 |
21,469 |
11,469 |
11,469 |
94,788,701 |
8,355 |
115 |
54.83 |
-0.58 |
|
6 |
18,000 |
21,570 |
1,566 |
21,967 |
3,967 |
3,967 |
81,613,705 |
7,624 |
22 |
49.36 |
-0.11 |
|
7 |
23,000 |
23,123 |
1,563 |
23,137 |
137 |
137 |
69,957,267 |
6,554 |
1 |
42.39 |
-0.11 |
|
8 |
38,000 |
26,018 |
1,830 |
24,686 |
-13,314 |
13,314 |
83,369,836 |
7,399 |
35 |
41.48 |
-1.90 |
|
9 |
12,000 |
26,262 |
1,513 |
27,847 |
15,847 |
15,847 |
102,010,079 |
8,338 |
132 |
51.54 |
0.22 |
|
10 |
13,000 |
26,298 |
1,217 |
27,775 |
14,775 |
14,775 |
113,639,348 |
8,981 |
114 |
57.75 |
1.85 |
|
11 |
32,000 |
27,963 |
1,307 |
27,515 |
-4,485 |
4,485 |
105,137,395 |
8,573 |
14 |
53.78 |
1.41 |
|
12 |
41,000 |
30,443 |
1,541 |
29,270 |
-11,730 |
11,730 |
107,841,864 |
8,836 |
29 |
51.68 |
0.04 |
|
Period t |
Demand Dt |
Level Lt |
Trend Tt |
Seasonal Factor St |
Forecast Ft |
Error Et |
Absolute Error At |
Mean Squared Error MSEt |
MADt |
% Error |
MAPEt |
TSt |
|
|
|
18,439 |
524 |
|
|
|
|
|
|
|
|
|
|
1 |
8,000 |
18,866 |
514 |
0.47 |
8,913 |
913 |
913 |
832,857 |
913 |
11 |
11.41 |
1.00 |
|
2 |
13,000 |
19,367 |
513 |
0.68 |
13,179 |
179 |
179 |
432,367 |
546 |
1 |
6.39 |
2.00 |
|
3 |
23,000 |
19,869 |
512 |
1.17 |
23,260 |
260 |
260 |
310,720 |
450 |
1 |
4.64 |
3.00 |
|
4 |
34,000 |
20,380 |
512 |
1.67 |
34,036 |
36 |
36 |
233,364 |
347 |
0 |
3.50 |
4.00 |
|
5 |
10,000 |
20,921 |
515 |
0.47 |
9,723 |
-277 |
277 |
202,036 |
333 |
3 |
3.36 |
3.34 |
|
6 |
18,000 |
21,689 |
540 |
0.68 |
14,558 |
-3,442 |
3,442 |
2,143,255 |
851 |
19 |
5.98 |
-2.74 |
|
7 |
23,000 |
22,102 |
527 |
1.17 |
25,981 |
2,981 |
2,981 |
3,106,508 |
1,155 |
13 |
6.98 |
0.56 |
|
8 |
38,000 |
22,636 |
528 |
1.67 |
37,787 |
-213 |
213 |
2,723,856 |
1,037 |
1 |
6.18 |
0.42 |
|
9 |
12,000 |
23,291 |
541 |
0.47 |
10,810 |
-1,190 |
1,190 |
2,578,653 |
1,054 |
10 |
6.59 |
-0.72 |
|
10 |
13,000 |
23,577 |
515 |
0.69 |
16,544 |
3,544 |
3,544 |
3,576,894 |
1,303 |
27 |
8.66 |
2.14 |
|
11 |
32,000 |
24,271 |
533 |
1.16 |
27,849 |
-4,151 |
4,151 |
4,818,258 |
1,562 |
13 |
9.05 |
-0.87 |
|
12 |
41,000 |
24,791 |
532 |
1.67 |
41,442 |
442 |
442 |
4,432,987 |
1,469 |
1 |
8.39 |
-0.63 |
|
13 |
|
|
|
0.47 |
11,940 |
|
|
|
|
|
|
|
|
14 |
|
|
|
0.68 |
17,579 |
|
|
|
|
|
|
|
|
15 |
|
|
|
1.17 |
30,930 |
|
|
|
|
|
|
|
|
16 |
|
|
|
1.67 |
44,928 |
|
|
|
|
|
|
|
(4) Check your work
(a) After completing this problem, I have gone back and checked my work and to my assumption my work is correct after using the correct formulas for the spreadsheet.
(5) Learn and Generalize
(a) After completing this problem, I have a better understanding on how to do a Holt’s and Winter Model.
3) Hot Pizza, Chapter 7, Exercise 2.
1) Define
a) Estimate demand for the next four weeks using a four-week moving average as well as simple exponential smoothing with 𝝰=0.1. Evaluate the MAD, MAPE, MSE, bias, and TS in each case. Which of the two methods do you prefer? Why?
2) Plan
a)
3) Execute
a) Given to us is the following information
|
Week |
Demand ($) |
Week |
Demand ($) |
Week |
Demand ($) |
|
1 |
108 |
5 |
96 |
9 |
112 |
|
2 |
116 |
6 |
119 |
10 |
102 |
|
3 |
118 |
7 |
96 |
11 |
92 |
|
4 |
124 |
8 |
102 |
12 |
91 |
4) Check your work
a)
5) Learn and Generalize
a)
1. Flower Wholesaler, Chapter 7, Exercise 3
1. Define
2. Plan
3. Execute
4. Check your work
5. Learn and Generalize
6. ABC Corporation: SCM, Chapter 7, Exercise 4 (Do “Winter’s Method” only.)
1. Define
2. Plan
3. Execute
4. Check your work
5. Learn and Generalize
6. Harley Davidson: SCM, Chapter 10, Exercises 1, 2
1. Define
a. Harley Davidson has its engine assembly plant in Milwaukee and its motorcycle assembly plant in Pennsylvania. Engines are transported between the two plants using trucks, with each trip costing $1,000. The motorcycle plant assembles and sells 300 motorcycles each day. Each engine costs $500, and Harley incurs a holding cost of 20% per year. How many engines should Harley load onto each truck? What is the cycle inventory of engines at Harley?
b. Harley Davidson has its engine assembly plant in Milwaukee and its motorcycle assembly plant in Pennsylvania. Engines are transported between the two plants using trucks, with each trip costing $1,000. The motorcycle plant assembles and sells 300 motorcycles each day. Each engine costs $500, and Harley incurs a holding cost of 20% per year. How many engines should Harley load onto each truck? What is the cycle inventory of engines at Harley?
2. Plan
a. I will use the notes that were given to me in class to solve this problem.
3. Execute
a. To start this problem, we must figure out how many engines should Harley Davidson should load onto each truck.
b. The given information is:
i. Transportation costs = $1,000
ii. Material Costs = $500 per unit
iii. Holding Costs = 20% per year
iv. Demand = 300 motorcycles per day
c. We then must use the formula of finding the optimal lot size which is Annual Demand = 300*365 days = 109,500 units/year
QL* = √(2D*S)/√(hC)
= √(2)(109,500)($1,000)/√(500*.2)
=√219000000/√100
=√2190000
=1480 units per truck.
d. Next, we must determine what is the cycle inventory of engines at Harley?
QL*/2 = 1480/2 = 740 cycle inventory
Find the shipment frequency:
n* = D/QL* = 109,500/1480 = 74 shipments per year.
e. In the next question we must figure out, If each truck trip still costs $1,000, how does this decision impact annual inventory costs?
Transportation costs = $1,000
Material Costs = $500 per unit
Holding Costs = 20% per year
Demand = 300 motorcycles per day (109,500 per year)
QL*= 100
Find the annual inventory hold costs:
Ci = (QL/2)*(hC)
=(740/2)*1000
=$370,000
f. Lastly, we must figure out What should the cost of each truck be if a load of 100 engines is to be optimal for Harley?
Find the shipment frequency:
n* = D/QL* = 109,500/100 = 1095 shipments per year
4. Check your work
(a) After completing this problem, I have gone back and checked my work and to my assumption my work is correct after using the correct formulas.
5. Learn and Generalize
(b) After completing this problem, I have a better understanding on how to do work with inventory management.
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