Reference:
Business Analytics (2e). - James R. Evans.
Pearson 2013 - ISBN: 9780132950619.
Case Analysis Background
The case scenario was based on Gateway Estate Lawn Equipment Co. Case Study, used for
the 1997 Malcolm Baldrige National Quality Award Examiner Training course. This material is
in the public domain. The database, however, was developed by the author.
33
PLE, headquartered in St. Louis, Missouri, is a privately owned designer and producer of
traditional lawn mowers used by homeowners. In the past 10 years, PLE has added another
key product, a medium-size diesel power lawn tractor with front and rear power takeoffs,
Class I three-point hitches, four-wheel drive, power steering, and full hydraulics. This
equipment is built primarily for a niche market consisting of large estates, including golf and
country clubs, resorts, private estates, city parks, large commercial complexes, lawn care
service providers, private homeowners with five or more acres, and government (federal,
state, and local) parks, building complexes, and military bases. PLE provides most of the
products to dealerships, which, in turn, sell directly to end users. PLE employs 1,660 people
worldwide. About half the workforce is based in St. Louis; the remainder is split among their
manufacturing plants.
In the United States, the focus of sales is on the eastern seaboard, California, the Southeast,
and the south central states, which have the greatest concentration of customers. Outside
the United States, PLE’s sales include a European market, a growing South American market,
and developing markets in the Pacific Rim and China. The market is cyclical, but the different
products and regions balance some of this, with just less than 30% of total sales in the spring
and summer (in the United States), about 25% in the fall, and about 20% in the winter.
Annual sales are approximately $180 million.
Both end users and dealers have been established as important customers for PLE.
Collection and analysis of end-user data showed that satisfaction with the products depends
on high quality, easy attachment/dismount of implements, low maintenance, price value,
and service. For dealers, key requirements are high quality, parts and feature availability,
rapid restock, discounts, and timeliness of support.
PLE has several key suppliers: Mitsitsiu, Inc., the sole source of all diesel engines; LANTO
Axles, Inc., which provides tractor axles; Schorst Fabrication, which provides
subassemblies; Cuberillo, Inc, supplier of transmissions; and Specialty Machining, Inc., a
supplier of precision machine parts.
To help manage the company, PLE managers have developed a “balanced scorecard” of
measures. These data, which are summarized shortly, are stored in the form of a Microsoft
Excel workbook (Performance Lawn Equipment) accompanying this book. The database
contains various measures captured on a monthly or quarterly basis and used by various
managers to evaluate business performance. Data for each of the key measures are stored
in a separate worksheet. A summary of these worksheets is given next:
•
Dealer Satisfaction, measured on a scale of 1–5 (1 = poor, 2 = less than average,
3 = average, 4 = above average, and 5 = excellent). Each year, dealers in each region are
surveyed about their overall satisfaction with PLE. The worksheet contains summary
data from surveys for the past 5 years.
•
End-User Satisfaction, measured on the same scale as dealers. Each year, 100
users from each region are surveyed. The worksheet contains summary data for the past
5 years.
•
2014 Customer Survey, results from a survey for customer ratings of specific
attributes of PLE tractors: quality, ease of use, price, and service on the same 1–5 scale.
This sheet contains 200 observations of customer ratings.
•
Complaints, which shows the number of complaints registered by all customers
each month in each of PLE’s five regions (North America, South America, Europe, the
Pacific, and China).
Mower Unit Sales and Tractor Unit Sales, which provide sales by product by
region on a monthly basis. Unit sales for each region are aggregated to obtain world
sales figures.
•
•
Industry Mower Total Sales and Industry Tractor Total Sales, which list the
number of units sold by all producers by region.
•
Unit Production Costs, which provides monthly accounting estimates of the
variable cost per unit for manufacturing tractors and mowers over the past 5 years.
•
Operating and Interest Expenses, which provides monthly administrative,
depreciation, and interest expenses at the corporate level.
•
On-Time Delivery, which provides the number of deliveries made each month
from each of PLE’s major suppliers, number on time, and the percent on time.
•
Defects After Delivery, which shows the number of defects in supplier-provided
material found in all shipments received from suppliers.
•
Time to Pay Suppliers, which provides measurements in days from the time the
invoice is received until payment is sent.
•
Response Time, which gives samples of the times taken by PLE customer-service
personnel to respond to service calls by quarter over the past 2 years.
•
Employee Satisfaction, which provides data for the past 4 years of internal
surveys of employees to determine their overall satisfaction with their jobs, using the
same scale used for customers. Employees are surveyed quarterly, and results are
stratified by employee category: design and production, managerial, and
sales/administrative support.
In addition to these business measures, the PLE database contains worksheets with data
from special studies:
•
Engines, which lists 50 samples of the time required to produce a lawn-mower
blade using a new technology.
•
Transmission Costs, which provides the results of 30 samples each for the
current process used to produce tractor transmissions and two proposed new processes.
•
Blade Weight, which provides samples of mower-blade weights to evaluate the
consistency of the production process.
•
Mower Test, which lists test results of mower functional performance after
assembly for 30 samples of 100 units each.
•
Employee Retention, data from a study of employee duration (length of hire)
with PLE. The 40 subjects were identified by reviewing hires from 10 years prior and
identifying those who were involved in managerial positions (either hired into
management or promoted into management) at some time in this 10-year period.
•
Shipping Cost, which gives the unit shipping cost for mowers and tractors from
existing and proposed plants for a supply-chain-design study.
•
Fixed Cost, which lists the fixed cost to expand existing plants or build new
facilities, also as part of the supply-chain-design study.
•
Purchasing Survey, which provides data obtained from a third-party survey of
purchasing managers of customers of Performance Lawn Care.
Dealer Satisfaction
Survey Scale:
North America
2010
2011
2012
2013
2014
0
1
2
3
4
1
0
1
1
2
0
0
1
2
3
2
2
1
6
5
14
14
8
12
15
22
20
34
34
44
5 Sample
Size
11
50
14
50
15
60
45
100
56
125
0
0
0
0
1
0
0
0
1
1
0
0
1
1
2
2
2
4
3
4
6
6
11
12
22
2
2
14
33
60
10
10
30
50
90
2010
2011
2012
2013
2014
0
0
0
0
0
0
0
0
0
0
1
1
1
1
1
3
2
2
2
4
7
8
15
21
17
4
4
7
6
8
15
15
25
30
30
2010
2011
2012
2013
2014
0
0
0
0
0
0
0
0
0
0
1
1
1
0
1
2
1
1
2
2
2
3
3
5
7
0
0
1
3
2
5
5
6
10
12
2012
2013
2014
0
0
0
0
0
0
0
1
1
1
4
5
0
2
8
0
0
2
1
7
16
South America
2010
2011
2012
2013
2014
Europe
Pacific Rim
China
End-User Satisfaction
North America
2010
2011
2012
2013
2014
0
1
1
1
0
0
1
3
2
2
2
2
2
6
4
5
4
3
3
15
18
17
15
15
4
37
35
34
33
31
Sample
5 Size
38
100
40
100
41
100
46
100
49
100
South America
2010
2011
2012
2013
2014
1
1
0
0
0
2
3
2
2
2
5
6
6
5
5
18
17
19
20
19
36
36
37
37
37
38
37
36
36
37
100
100
100
100
100
2010
2011
2012
2013
2014
1
1
1
1
0
2
2
1
1
1
4
5
4
3
2
21
21
26
17
19
36
34
37
41
45
36
37
31
37
33
100
100
100
100
100
2010
2011
2012
2013
2014
2
1
1
0
0
3
2
2
2
1
5
7
5
4
3
15
15
16
17
19
41
41
40
40
42
34
34
36
37
35
100
100
100
100
100
2012
2013
2014
0
1
0
3
2
1
3
2
1
6
4
3
28
30
31
10
11
14
50
50
50
Europe
Pacific Rim
China
2014 Customer Survey
Region
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
Quality
4
4
4
5
5
5
5
5
4
4
4
5
5
4
5
5
5
5
4
4
4
4
5
5
5
5
5
4
5
5
5
4
4
5
5
5
5
5
4
5
5
5
5
3
5
5
5
5
5
5
5
5
5
5
4
5
5
5
4
5
4
5
5
5
5
4
4
5
5
5
5
Ease of Use Price Service
1
3
4
4
4
5
5
4
3
4
4
4
4
5
4
5
3
5
4
4
2
5
4
5
4
4
5
5
4
5
5
1
4
5
4
4
4
3
3
5
4
4
4
3
5
5
2
5
4
2
5
4
2
5
5
4
4
4
5
4
4
2
4
3
3
4
5
2
5
3
4
3
4
4
5
5
2
5
5
5
3
4
5
4
4
4
4
1
5
5
4
3
5
5
1
4
4
3
5
3
4
4
5
2
4
4
4
4
5
4
4
5
4
5
3
3
5
4
4
3
4
3
4
5
1
5
4
5
4
4
3
4
4
2
4
5
4
5
5
3
4
4
4
4
4
4
4
4
4
5
4
1
4
4
5
5
5
3
4
4
4
5
3
5
5
4
4
4
5
5
5
5
4
5
4
4
4
4
5
5
5
5
4
5
5
4
5
3
5
4
4
4
4
5
2
4
5
5
4
4
5
4
4
4
4
3
5
4
5
4
5
4
5
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
NA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
SA
5
5
5
5
5
4
3
5
4
3
1
4
5
4
5
5
4
5
5
5
5
4
5
4
5
4
5
4
4
5
5
5
4
5
4
5
4
4
4
5
3
5
5
4
4
1
5
4
4
5
4
4
3
5
4
4
4
4
4
5
4
5
5
4
4
5
5
5
3
4
4
5
4
5
4
4
3
4
4
5
5
5
4
2
4
5
5
5
5
5
2
4
4
5
5
5
5
4
5
5
5
5
5
4
4
4
2
4
5
4
5
4
4
4
3
4
4
4
4
5
4
4
4
4
4
4
3
4
4
5
1
5
4
4
4
5
5
4
4
4
4
4
4
3
4
4
3
3
4
5
4
5
1
3
2
4
3
4
3
3
4
5
4
4
4
5
5
4
5
5
4
5
3
2
5
4
5
3
2
5
4
4
2
4
3
4
2
3
5
3
2
3
3
3
2
4
5
2
5
4
4
4
4
5
4
4
4
3
4
4
4
2
4
4
4
1
4
5
2
3
4
5
4
2
5
5
5
5
5
4
5
5
4
5
4
5
5
4
5
4
4
3
5
3
5
5
4
4
4
3
4
5
4
5
5
5
5
4
5
3
4
4
5
4
5
4
5
4
4
4
5
4
5
3
5
4
1
5
5
4
5
4
5
3
4
4
5
5
4
4
5
4
3
3
5
5
SA
SA
SA
SA
SA
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Eur
Pac
Pac
Pac
Pac
Pac
Pac
Pac
Pac
Pac
Pac
China
China
China
China
China
China
China
China
China
China
5
5
3
4
4
4
4
3
3
4
5
5
4
3
3
4
5
5
5
3
4
4
5
4
3
4
5
5
4
4
5
2
5
4
5
5
5
4
4
5
4
5
4
3
5
5
5
4
4
4
4
4
3
3
2
4
4
4
4
3
5
4
4
4
4
5
5
5
4
5
4
4
3
5
4
5
5
4
5
5
4
5
3
5
3
4
4
4
5
4
4
5
4
3
4
4
5
2
4
4
5
5
4
4
4
4
4
4
4
3
4
4
3
1
4
5
4
5
1
5
5
5
5
4
3
5
5
4
4
4
4
4
4
4
3
4
3
4
2
4
3
4
5
4
1
4
5
4
4
5
4
4
3
4
4
4
4
3
3
3
3
3
3
2
2
4
4
4
4
3
3
2
4
3
5
5
1
4
4
3
4
5
4
5
4
5
4
5
4
4
2
4
5
4
4
3
4
4
3
5
5
5
4
4
4
4
5
3
4
5
4
3
3
3
2
3
2
3
2
1
Complaints
Month
World NA SA Eur Pac
China
Jan-10
169 102
12
52
3
Feb-10
187 115
13
55
4
Mar-10
210 128
15
61
6
Apr-10
226 136
16
67
7
May-10
232 137
17
73
5
Jun-10
261 151
19
82
9
Jul-10
245 140
18
80
7
Aug-10
223 128
16
76
3
Sep-10
195 103
15
73
4
Oct-10
174
96
14
62
2
Nov-10
154
84
11
59
0
Dec-10
163
99
9
54
1
Jan-11
195 123
10
59
3
Feb-11
221 141
13
62
5
Mar-11
240 152
16
66
6
Apr-11
264 163
20
70
11
May-11
283 178
22
75
8
Jun-11
296 170
28
86
12
Jul-11
269 153
25
81
10
Aug-11
256 146
23
79
8
Sep-11
231 131
20
73
7
Oct-11
214 125
16
68
5
Nov-11
201 118
13
66
4
Dec-11
171
96
11
61
3
Jan-12
200 112
15
66
4
3
Feb-12
216 117
18
71
6
4
Mar-12
234 126
20
76
9
3
Apr-12
253 138
23
79
11
2
May-12
282 152
26
85
14
5
Jun-12
305 163
30
91
15
6
Jul-12
296 156
28
89
18
5
Aug-12
279 148
26
86
15
4
Sep-12
266 143
24
82
13
4
Oct-12
243 131
21
76
12
3
Nov-12
232 128
18
73
10
3
Dec-12
203 107
15
70
7
4
Jan-13
216 110
19
74
8
5
Feb-13
239 123
23
79
10
4
Mar-13
266 138
26
83
13
6
Apr-13
284 150
30
88
11
5
May-13
315 169
33
91
15
7
Jun-13
340 181
37
95
19
8
Jul-13
319 169
34
92
17
7
Aug-13
304 160
32
90
15
7
Sep-13
277 141
29
87
14
6
Oct-13
250 123
26
83
12
6
Nov-13
228 112
24
77
10
5
Dec-13
213 105
23
74
7
4
Jan-14
240 121
26
80
8
5
Feb-14
251 126
28
82
10
5
Mar-14
281 148
31
85
12
5
Apr-14
298 155
35
89
13
6
May-14
322 168
39
95
12
8
Jun-14
350 183
43
98
15
11
Jul-14
330 170
41
95
14
10
Aug-14
311 158
38
93
13
9
Sep-14
289 149
33
89
11
7
Oct-14
265 136
30
85
8
6
Nov-14
239 121
26
80
7
5
Dec-14
219 108
23
76
7
5
A
B
C
D
E
F
1 Mower Unit Sales
2
3 Month
NA
SA Europe Pacific China
4
Jan-10 6000 200
720
100
0
5
Feb-10 7950 220
990
120
0
6
Mar-10 8100 250
1320
110
0
7
Apr-10 9050 280
1650
120
0
8
May-10 9900 310
1590
130
0
9
Jun-10 10200 300
1620
120
0
10
Jul-10 8730 280
1590
140
0
11
Aug-10 8140 250
1560
130
0
12
Sep-10 6480 230
1590
130
0
13
Oct-10 5990 220
1320
120
0
14
Nov-10 5320 210
990
130
0
15
Dec-10 4640 180
660
140
0
16
Jan-11 5980 210
690
140
0
17
Feb-11 7620 240
1020
150
0
18
Mar-11 8370 250
1290
140
0
19
Apr-11 8830 290
1620
150
0
20
May-11 9310 330
1650
130
0
21
Jun-11 10230 310
1590
140
0
22
Jul-11 8720 290
1560
150
0
23
Aug-11 7710 270
1530
140
0
24
Sep-11 6320 250
1590
150
0
25
Oct-11 5840 250
1260
160
0
26
Nov-11 4960 240
900
150
0
27
Dec-11 4350 210
660
150
0
28
Jan-12 6020 220
570
160
0
29
Feb-12 7920 250
840
150
0
30
Mar-12 8430 270
1110
160
0
31
Apr-12 9040 310
1500
170
0
32
May-12 9820 360
1440
160
0
33
Jun-12 10370 330
1410
170
0
34
Jul-12 9050 310
1440
160
0
35
Aug-12 7620 300
1410
170
0
36
Sep-12 6420 280
1350
180
0
37
Oct-12 5890 270
1080
180
0
38
Nov-12 5340 260
840
190
0
39
Dec-12 4430 230
510
180
0
40
Jan-13 6100 250
480
200
0
41
Feb-13 8010 270
750
190
0
42
Mar-13 8430 280
1140
200
0
43
Apr-13 9110 320
1410
210
0
44
May-13 9730 380
1340
190
0
45
Jun-13 10120 360
1360
200
0
46
Jul-13 9080 320
1410
200
0
47
Aug-13 7820 310
1490
210
0
48
Sep-13 6540 300
1310
220
0
49
Oct-13 6010 290
980
210
0
50
Nov-13 5270 270
770
220
0
51
Dec-13 5380 260
430
230
0
52
Jan-14 6210 270
400
200
0
53
Feb-14 8030 280
750
190
0
54
Mar-14 8540 300
970
210
0
55
Apr-14 9120 340
1310
220
5
56
May-14 9570 390
1260
200
16
57
Jun-14 10230 380
1240
210
22
58
Jul-14 9580 350
1300
230
26
59
Aug-14 7680 340
1250
220
14
60
Sep-14 6870 320
1210
220
15
61
Oct-14 5930 310
970
230
11
62
Nov-14 5260 300
650
240
3
63
Dec-14 4830 290
300
230
1
G
World
7020
9280
9780
11100
11930
12240
10740
10080
8430
7650
6650
5620
7020
9030
10050
10890
11420
12270
10720
9650
8310
7510
6250
5370
6970
9160
9970
11020
11780
12280
10960
9500
8230
7420
6630
5350
7030
9220
10050
11050
11640
12040
11010
9830
8370
7490
6530
6300
7080
9250
10020
10995
11436
12082
11486
9504
8635
7451
6453
5651
Tractor Unit Sales
Month
NA
SA
Eur
Jan-10
570
250
Feb-10
611
270
Mar-10
630
260
Apr-10
684
270
May-10
650
280
Jun-10
600
270
Jul-10
512
264
Aug-10
500
280
Sep-10
478
290
Oct-10
455
280
Nov-10
407
290
Dec-10
360
280
Jan-11
571
320
Feb-11
650
350
Mar-11
740
390
Apr-11
840
440
May-11
830
470
Jun-11
760
490
Jul-11
681
481
Aug-11
670
460
Sep-11
640
460
Oct-11
620
440
Nov-11
570
436
Dec-11
533
420
Jan-12
620
510
Feb-12
792
590
Mar-12
890
610
Apr-12
960
600
May-12
1040
620
Jun-12
1032
640
Jul-12
1006
590
Aug-12
910
600
Sep-12
803
670
Oct-12
730
630
Nov-12
699
710
Dec-12
647
570
Jan-13
730
650
Feb-13
930
680
Mar-13
1160
724
Apr-13
1510
730
May-13
1650
760
Jun-13
1490
800
Jul-13
1460
840
Aug-13
1390
830
Sep-13
1360
820
Oct-13
1340
810
Nov-13
1240
827
Dec-13
1103
750
Jan-14
1250
780
Feb-14
1550
805
Mar-14
1820
830
Apr-14
2010
890
May-14
2230
930
Jun-14
2490
980
Jul-14
2440
1002
Aug-14
2334
970
Sep-14
2190
960
Oct-14
2080
930
Nov-14
2050
920
Dec-14
2004
902
Pac
560
600
680
650
580
590
760
645
650
670
888
850
620
760
742
780
690
721
680
711
695
650
680
657
610
680
730
820
810
807
760
720
660
630
603
570
500
590
620
730
740
720
670
610
599
560
550
520
480
523
560
570
590
600
580
570
550
530
517
490
China
212
230
240
263
269
280
290
270
263
258
240
230
250
275
270
280
290
300
312
305
290
260
250
240
250
250
260
270
290
310
340
320
313
290
280
260
287
290
300
310
330
340
350
341
330
320
300
290
200
210
220
230
253
270
280
250
230
220
190
190
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
10
12
20
22
20
24
20
31
30
37
32
33
35
50
63
68
70
82
80
90
100
102
110
114
111
121
123
120
130
136
134
132
137
130
139
131
World
1592
1711
1810
1867
1779
1740
1826
1695
1681
1663
1825
1720
1761
2035
2142
2340
2280
2271
2154
2146
2085
1970
1936
1850
2000
2324
2510
2672
2780
2813
2716
2581
2476
2317
2324
2080
2202
2540
2867
3348
3550
3432
3400
3261
3209
3132
3027
2777
2821
3209
3553
3820
4133
4476
4436
4256
4067
3890
3816
3717
Industry Mower Total Sales
Month
NA
SA
Eur
Pac
World
Jan-10
60000
571
13091
1045
74662
Feb-10
77184
611
17679
1111
96585
Mar-10
77885
658
22759
1068
102369
Apr-10
86190
778
27966
1237
116171
May-10
96117
886
27895
1313
126210
Jun-10
97143
882
30566
1176
129768
Jul-10
84757
848
29444
1359
116409
Aug-10
79804
735
28364
1238
110141
Sep-10
64800
657
28393
1215
95065
Oct-10
59307
595
24444
1154
85500
Nov-10
52157
553
18000
1262
71972
Dec-10
45049
462
12453
1386
59349
Jan-11
58627
553
12778
1443
73401
Feb-11
76200
615
18214
1515
96545
Mar-11
82871
658
23889
1373
108791
Apr-11
84904
784
29455
1442
116584
May-11
93100
846
29464
1215
124625
Jun-11
93000
838
27414
1333
122585
Jul-11
83048
763
27368
1415
112594
Aug-11
74854
694
27321
1296
104164
Sep-11
60769
625
29444
1402
92241
Oct-11
55619
610
23774
1468
81470
Nov-11
48155
571
17308
1351
67386
Dec-11
42647
512
12941
1389
57489
Jan-12
57885
537
10962
1509
70892
Feb-12
77647
595
15273
1402
94917
Mar-12
81845
659
20556
1524
104583
Apr-12
86095
756
26786
1574
115211
May-12
91776
878
24828
1468
118949
Jun-12
100680
825
24737
1560
127801
Jul-12
86190
756
24828
1441
113216
Aug-12
71887
714
25179
1545
99325
Sep-12
60000
651
24545
1667
86863
Oct-12
55566
643
19286
1698
77193
Nov-12
50857
619
15273
1810
68558
Dec-12
42596
548
9107
1731
53982
Jan-13
58095
581
8571
1887
69135
Feb-13
75566
614
13158
1845
91182
Mar-13
80286
622
19655
1923
102486
Apr-13
85140
727
25179
1981
113027
May-13
90093
826
23103
1810
115832
Jun-13
95472
783
24286
1942
122482
Jul-13
87308
681
24737
1961
114686
Aug-13
74476
646
26607
2000
103729
Sep-13
61698
625
22982
2075
87381
Oct-13
57238
617
16897
2019
76771
Nov-13
50673
587
13750
2095
67105
Dec-13
51238
591
7818
2150
61797
Jan-14
59712
563
7547
1852
69673
Feb-14
77961
571
13889
1743
94165
Mar-14
83725
625
18302
1892
104544
Apr-14
90297
723
25192
2037
118250
May-14
91143
848
24706
1887
118583
Jun-14
99320
792
25306
1944
127363
Jul-14
93922
745
27083
2170
123919
Aug-14
73143
739
26042
2037
101961
Sep-14
66699
667
26304
2018
95688
Oct-14
56476
660
22558
2072
81766
Nov-14
51068
625
14773
2182
68648
Dec-14
46893
608
6977
2035
56510
Industry Tractor Total Sales
Month NA
SA
Eur
Pac
China
World
Jan-10
8143
984
5091
987
278
15483
Feb-10
8592
1051
5310
1090
283
16325
Mar-10
8630
1016
6071
1127
285
17129
Apr-10
8947
1027
5856
1209
288
17327
May-10
8442
1057
5273
1221
286
16278
Jun-10
7500
1019
5315
1327
287
15448
Jul-10
6145
977
7170
1324
289
15905
Aug-10
5882
1057
5926
1268
290
14422
Sep-10
5595
1086
6075
1209
293
14258
Oct-10
5233
1045
6321
1168
295
14061
Nov-10
4494
1078
8381
1127
298
15378
Dec-10
3913
1029
7944
1085
301
14272
Jan-11
5938
1172
5688
1185
306
14289
Feb-11
6633
1273
7037
1286
302
16530
Mar-11
7327
1423
6981
1286
303
17320
Apr-11
8077
1612
7500
1346
307
18842
May-11
7830
1728
6571
1388
309
17826
Jun-11
7103
1815
6990
1449
312
17669
Jul-11
6239
1776
6667
1490
315
16487
Aug-11
6036
1685
6762
1449
318
16250
Sep-11
5664
1679
6635
1394
321
15692
Oct-11
5345
1618
6311
1256
315
14844
Nov-11
4831
1564
6476
1214
318
14402
Dec-11
4454
1522
6250
1171
320
13716
Jan-12
5299
1835
5922
1208
333
14597
Feb-12
6529
2115
6667
1214
313
16836
Mar-12
7120
2202
7228
1256
606
18412
Apr-12
7619
2151
8200
1311
571
19852
May-12
8387
2214
7941
1415
556
20513
Jun-12
8110
2278
7921
1520
526
20355
Jul-12
7752
2100
7677
1675
513
19716
Aug-12
6894
2128
7200
1584
769
18575
Sep-12
6015
2367
6735
1527
750
17394
Oct-12
5368
2211
6495
1422
732
16226
Nov-12
4964
2483
6061
1366
714
15587
Dec-12
4444
1986
5816
1262
698
14207
Jan-13
5000
2257
5051
1373
714
14394
Feb-13
6284
2353
6082
1436
1063
17218
Mar-13
7785
2457
6327
1478
1264
19310
Apr-13
9934
2517
7604
1512
1333
22901
May-13
10645
2612
7789
1642
1556
24244
Jun-13
9491
2749
7347
1667
1739
22993
Jul-13
9182
2887
6979
1733
1702
22483
Aug-13
8528
2833
6489
1700
1915
21465
Sep-13
8293
2789
6316
1642
2083
21123
Oct-13
8221
2765
5833
1576
2128
20523
Nov-13
7470
2746
5789
1493
2292
19789
Dec-13
6509
2534
5591
1450
2245
18329
Jan-14
7267
2635
5106
1010
2292
18311
Feb-14
8807
2703
5474
1045
2449
20477
Mar-14
10168
2795
6022
1106
2400
22489
Apr-14
11044
2997
6064
1150
2353
23607
May-14
12120
3131
6344
1244
2600
25439
Jun-14
13459
3311
6593
1357
2653
27374
Jul-14
13048
3390
6304
1421
2600
26764
Aug-14
12275
3277
6064
1263
2549
25428
Sep-14
11347
3232
5789
1173
2453
23995
Oct-14
10667
3131
5699
1128
2517
23142
Nov-14
10459
3087
5604
974
2541
22666
Dec-14
10082
3030
5444
979
2453
21989
Unit Production Costs
Month Tractor Mower
Jan-10
$1,750
$50
Feb-10
$1,755
$50
Mar-10
$1,763
$51
Apr-10
$1,770
$51
May-10
$1,778
$51
Jun-10
$1,785
$51
Jul-10
$1,792
$51
Aug-10
$1,795
$51
Sep-10
$1,801
$52
Oct-10
$1,804
$52
Nov-10
$1,810
$52
Dec-10
$1,813
$52
Jan-11
$1,835
$55
Feb-11
$1,841
$55
Mar-11
$1,848
$55
Apr-11
$1,854
$55
May-11
$1,860
$56
Jun-11
$1,866
$56
Jul-11
$1,872
$56
Aug-11
$1,878
$56
Sep-11
$1,885
$56
Oct-11
$1,892
$57
Nov-11
$1,897
$57
Dec-11
$1,903
$57
Jan-12
$1,925
$59
Feb-12
$1,931
$59
Mar-12
$1,938
$59
Apr-12
$1,944
$59
May-12
$1,950
$59
Jun-12
$1,956
$60
Jul-12
$1,963
$60
Aug-12
$1,969
$60
Sep-12
$1,976
$60
Oct-12
$1,983
$60
Nov-12
$1,990
$61
Dec-12
$1,996
$61
Jan-13
$1,940
$59
Feb-13
$1,946
$59
Mar-13
$1,952
$59
Apr-13
$1,958
$59
May-13
$1,964
$60
Jun-13
$1,970
$60
Jul-13
$1,976
$60
Aug-13
$1,983
$60
Sep-13
$1,990
$60
Oct-13
$1,996
$60
Nov-13
$2,012
$61
Dec-13
$2,008
$61
Jan-14
$2,073
$63
Feb-14
Mar-14
Apr-14
May-14
Jun-14
Jul-14
Aug-14
Sep-14
Oct-14
Nov-14
Dec-14
$2,077
$2,081
$2,086
$2,092
$2,098
$2,104
$2,110
$2,116
$2,122
$2,129
$2,135
$63
$63
$63
$63
$63
$64
$64
$64
$64
$64
$64
Operating and Interest Expenses
Month Administrative Depreciation Interest
Jan-10
$633,073
$140,467
$7,244
Feb-10
$607,904
$165,636
$7,679
Mar-10
$630,687
$142,853
$6,887
Apr-10
$613,401
$160,139
$6,917
May-10
$607,664
$165,876
$8,316
Jun-10
$632,967
$140,573
$7,428
Jul-10
$609,604
$163,936
$8,737
Aug-10
$607,749
$165,791
$7,054
Sep-10
$603,367
$170,173
$8,862
Oct-10
$629,083
$144,457
$8,488
Nov-10
$611,995
$161,545
$7,049
Dec-10
$625,712
$147,828
$8,807
Jan-11
$656,123
$175,447
$7,430
Feb-11
$652,679
$178,891
$6,791
Mar-11
$655,521
$176,049
$8,013
Apr-11
$676,581
$154,989
$8,979
May-11
$676,581
$154,989
$7,484
Jun-11
$656,440
$175,130
$7,858
Jul-11
$661,969
$169,601
$7,424
Aug-11
$677,212
$154,358
$6,848
Sep-11
$653,545
$178,025
$6,751
Oct-11
$657,388
$174,182
$8,160
Nov-11
$672,475
$159,095
$7,898
Dec-11
$656,325
$175,245
$8,953
Jan-12
$723,594
$226,526
$9,443
Feb-12
$759,042
$191,078
$8,464
Mar-12
$749,187
$200,933
$10,264
Apr-12
$751,499
$198,621
$8,547
May-12
$741,452
$208,668
$8,578
Jun-12
$729,122
$220,998
$9,519
Jul-12
$734,783
$215,337
$9,343
Aug-12
$748,208
$201,912
$8,448
Sep-12
$738,186
$211,934
$9,957
Oct-12
$759,403
$190,717
$9,738
Nov-12
$726,183
$223,937
$9,785
Dec-12
$757,037
$193,083
$8,191
Jan-13
$672,232
$179,138
$9,914
Feb-13
$665,023
$186,347
$9,954
Mar-13
$667,657
$183,713
$10,859
Apr-13
$654,198
$197,172
$9,730
May-13
$659,435
$191,935
$10,430
Jun-13
$661,190
$190,180
$10,222
Jul-13
$647,321
$204,049
$10,102
Aug-13
$666,743
$184,627
$10,610
Sep-13
$678,705
$172,665
$9,374
Oct-13
$658,990
$192,380
$10,830
Nov-13
$656,221
$195,149
$9,017
Dec-13
$676,934
$174,436
$10,423
Jan-14
$641,571
$210,589
$9,985
Feb-14
Mar-14
Apr-14
May-14
Jun-14
Jul-14
Aug-14
Sep-14
Oct-14
Nov-14
Dec-14
$634,973
$662,054
$654,962
$645,579
$658,112
$637,711
$638,317
$651,996
$630,766
$645,095
$637,807
$217,187
$190,106
$197,198
$206,581
$194,048
$214,449
$213,843
$200,164
$221,394
$207,065
$214,353
$9,766
$11,148
$9,339
$9,468
$10,324
$9,737
$9,290
$9,213
$10,143
$10,383
$9,059
On-Time Delivery
Month
Number of deliveries Number On Time Percent
Jan-10
1086
1069
98.4%
Feb-10
1101
1080
98.1%
Mar-10
1116
1089
97.6%
Apr-10
1216
1199
98.6%
May-10
1183
1168
98.7%
Jun-10
1176
1160
98.6%
Jul-10
1198
1181
98.6%
Aug-10
1205
1189
98.7%
Sep-10
1223
1210
98.9%
Oct-10
1209
1194
98.8%
Nov-10
1198
1180
98.5%
Dec-10
1243
1223
98.4%
Jan-11
1220
1201
98.4%
Feb-11
1241
1224
98.6%
Mar-11
1237
1217
98.4%
Apr-11
1258
1242
98.7%
May-11
1262
1246
98.7%
Jun-11
1227
1212
98.8%
Jul-11
1243
1227
98.7%
Aug-11
1281
1264
98.7%
Sep-11
1272
1254
98.6%
Oct-11
1295
1278
98.7%
Nov-11
1298
1281
98.7%
Dec-11
1318
1296
98.3%
Jan-12
1281
1264
98.7%
Feb-12
1320
1304
98.8%
Mar-12
1352
1334
98.7%
Apr-12
1336
1320
98.8%
May-12
1291
1276
98.8%
Jun-12
1342
1326
98.8%
Jul-12
1352
1337
98.9%
Aug-12
1377
1360
98.8%
Sep-12
1385
1368
98.8%
Oct-12
1356
1338
98.7%
Nov-12
1362
1346
98.8%
Dec-12
1349
1333
98.8%
Jan-13
1386
1371
98.9%
Feb-13
1358
1342
98.8%
Mar-13
1371
1356
98.9%
Apr-13
1362
1348
99.0%
May-13
1350
1338
99.1%
Jun-13
1381
1366
98.9%
Jul-13
1392
1378
99.0%
Aug-13
1371
1359
99.1%
Sep-13
1402
1387
98.9%
Oct-13
1384
1370
99.0%
Nov-13
1399
1377
98.4%
Dec-13
1369
1357
99.1%
Jan-14
1401
1390
99.2%
Feb-14
1388
1376
99.1%
Mar-14
1395
1385
99.3%
Apr-14
1412
1401
99.2%
May-14
1403
1392
99.2%
Jun-14
1415
1402
99.1%
Jul-14
1426
1415
99.2%
Aug-14
1431
1420
99.2%
Sep-14
1445
1426
98.7%
Oct-14
1425
1414
99.2%
Nov-14
1413
1403
99.3%
Dec-14
1456
1427
98.0%
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
A
B
Defects After Delivery
C
D
E
Defects per million items received from suppliers
Month
2010
2011
2012
2013
January
812
828
824
682
February
810
832
836
695
March
813
847
818
692
April
823
839
825
686
May
832
832
804
673
June
848
840
812
681
July
837
849
806
696
August
831
857
798
688
September
827
839
804
671
October
838
842
713
645
November
826
828
705
617
December
819
816
686
603
F
2014
571
575
547
542
532
496
472
460
441
445
438
436
Time to Pay Suppliers
Month
Working Days
Jan-10
8.32
Feb-10
8.28
Mar-10
8.29
Apr-10
8.32
May-10
8.36
Jun-10
8.35
Jul-10
8.34
Aug-10
8.32
Sep-10
8.36
Oct-10
8.33
Nov-10
8.32
Dec-10
8.29
Jan-11
7.89
Feb-11
7.65
Mar-11
7.58
Apr-11
7.53
May-11
7.48
Jun-11
7.45
Jul-11
7.36
Aug-11
7.35
Sep-11
7.32
Oct-11
7.3
Nov-11
7.27
Dec-11
7.25
Jan-12
7.22
Feb-12
7.21
Mar-12
7.22
Apr-12
7.29
May-12
7.25
Jun-12
7.23
Jul-12
7.28
Aug-12
7.25
Sep-12
7.24
Oct-12
7.26
Nov-12
7.21
Dec-12
7.23
Jan-13
7.24
Feb-13
7.19
Mar-13
7.21
Apr-13
7.23
May-13
7.22
Jun-13
7.19
Jul-13
7.17
Aug-13
7.15
Sep-13
7.16
Oct-13
7.16
Nov-13
7.15
Dec-13
7.14
Jan-14
7.12
Feb-14
7.11
Mar-14
7.11
Apr-14
7.11
May-14
7.11
Jun-14
7.12
Jul-14
7.08
Aug-14
7.09
Sep-14
7.09
Oct-14
7.04
Nov-14
7.06
Dec-14
7.08
Response times to customer service calls
Q1 2013 Q2 2013 Q3 2013 Q4 2013 Q1 2014 Q2 2014 Q3 2014 Q4 2014
4.36
4.33
3.71
4.44
2.75
3.45
1.67
2.55
5.42
4.73
2.52
4.07
3.24
1.95
2.58
2.30
5.50
1.63
2.69
5.11
4.35
2.77
3.47
1.04
2.79
4.21
3.47
3.49
5.58
1.83
3.12
1.59
5.55
6.89
5.12
4.69
2.89
3.72
1.00
3.11
3.65
0.92
1.00
6.36
5.09
4.59
5.40
4.05
8.02
5.27
3.44
8.26
2.33
1.17
3.90
3.38
4.00
0.90
6.04
1.91
1.69
1.46
4.49
1.26
3.34
3.85
2.53
8.93
3.88
1.90
2.06
0.90
4.92
5.00
2.39
6.85
3.39
2.95
4.49
2.31
3.55
3.52
3.26
5.69
5.14
4.69
3.57
2.71
3.52
5.20
4.68
3.05
0.98
3.34
3.41
1.65
1.25
5.13
3.59
5.91
2.34
3.59
3.31
3.58
2.18
5.29
1.07
1.00
2.80
4.03
2.79
2.96
4.35
1.00
2.86
1.82
3.06
2.39
2.09
3.78
2.46
2.18
4.44
3.74
2.40
1.63
4.28
2.87
2.07
4.55
4.87
6.11
1.59
2.40
4.47
0.90
2.90
2.13
6.76
4.78
3.05
4.44
1.94
4.87
2.58
5.24
2.84
4.13
1.50
4.96
3.90
3.11
5.50
4.08
1.25
7.17
5.58
4.41
3.32
0.90
2.47
4.04
3.43
5.70
3.11
3.40
2.20
3.52
4.24
5.09
2.98
1.00
1.08
3.15
3.52
3.18
1.88
7.66
4.65
3.40
3.63
4.87
2.31
0.90
4.25
4.65
2.66
2.04
1.86
3.97
1.00
1.35
5.08
0.90
4.99
4.37
1.90
3.85
5.90
1.62
4.40
2.01
3.76
2.47
6.07
2.81
1.09
1.87
1.64
1.34
3.12
3.20
1.00
1.76
4.60
1.03
6.40
8.05
2.12
5.83
1.00
5.58
3.52
2.31
3.68
4.91
4.32
3.94
1.19
4.92
4.14
1.99
3.92
5.06
3.61
2.47
3.79
2.63
4.13
3.97
4.13
3.26
4.02
3.89
5.86
3.27
2.43
1.00
3.34
4.26
2.63
6.88
0.90
2.86
2.34
3.51
3.28
1.70
4.47
1.71
2.24
3.83
2.53
2.41
3.24
2.30
4.18
6.39
0.90
1.79
4.14
2.47
3.25
5.35
4.73
6.57
3.87
2.70
2.65
4.02
5.20
2.33
2.65
4.18
2.46
3.61
3.21
2.03
5.28
3.67
2.36
8.82
3.84
0.90
3.85
3.62
4.33
4.73
3.64
3.35
2.43
3.38
2.20
4.12
4.64
1.05
5.62
5.50
1.54
4.38
4.57
1.40
2.65
2.67
0.90
6.51
0.90
2.87
2.99
2.49
3.42
4.16
6.40
0.90
3.69
2.11
4.19
2.67
3.97
0.90
3.21
2.87
1.73
2.86
3.03
4.33
1.26
3.51
3.55
7.45
3.52
3.12
1.90
1.95
6.16
5.95
5.93
3.49
2.23
1.86
2.09
2.70
6.40
2.05
5.52
3.03
5.35
2.41
1.03
1.76
1.00
8.21
4.96
7.46
5.11
2.98
2.95
2.64
3.63
2.52
4.85
4.84
6.46
0.90
7.42
4.49
5.34
3.99
5.57
2.88
5.61
1.01
3.79
1.62
3.74
2.59
4.82
0.95
3.63
4.56
2.48
1.10
5.63
1.34
3.18
3.05
3.87
5.67
2.71
4.50
Employee Satisfaction Results
Averages using a 5 point scale
Design &
Sales &
Quarter Production Sample size Manager Sample size Administration Sample size Total
Sample size
1st Q-11
2.86
100
3.81
10
3.51
30
3.07
140
2nd Q-11
2.91
100
3.76
10
3.38
30
3.07
140
3rd Q-11
2.84
100
3.86
10
3.45
30
3.04
140
4th Q-11
2.83
100
3.48
10
3.61
30
3.04
140
1st Q-12
2.91
100
3.75
20
3.37
30
3.11
150
2nd Q-12
2.94
100
3.92
20
3.53
30
3.19
150
3rd Q-12
2.86
100
3.89
20
3.47
30
3.12
150
4th Q-12
2.83
100
3.58
20
3.66
30
3.10
150
1st Q-13
2.95
100
3.82
20
3.71
40
3.25
160
2nd Q-13
3.01
100
4.01
20
3.53
40
3.27
160
3rd Q-13
3.03
100
3.92
20
3.62
40
3.29
160
4th Q-13
2.96
100
3.84
20
3.48
40
3.20
160
1st Q-14
3.05
100
3.92
20
3.52
40
3.28
160
2nd Q-14
3.12
100
4.00
20
3.37
40
3.29
160
3rd Q-14
3.06
100
3.93
20
3.46
40
3.27
160
4th Q-14
3.02
100
3.70
20
3.59
40
3.25
160
Engine Production Time
Sample
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
Production Time (min)
65.1
62.3
60.4
58.7
58.1
56.9
57.0
56.5
55.1
54.3
53.7
53.2
52.8
52.5
52.1
51.8
51.5
51.3
50.9
50.5
50.2
50.0
49.7
49.5
49.3
49.4
49.1
49.0
48.8
48.5
48.3
48.2
48.1
47.9
47.7
47.6
47.4
47.1
46.9
46.8
46.7
46.6
46.5
46.5
46.2
46.3
46.0
45.8
45.7
45.6
Unit Tractor Transmission Costs
Current
Process A Process B
$242.00
$242.00
$292.00
$176.00
$275.00
$321.00
$286.00
$199.00
$314.00
$269.00
$219.00
$242.00
$327.00
$273.00
$278.00
$264.00
$265.00
$300.00
$296.00
$435.00
$301.00
$333.00
$285.00
$286.00
$242.00
$384.00
$315.00
$288.00
$387.00
$300.00
$314.00
$299.00
$304.00
$302.00
$145.00
$300.00
$335.00
$266.00
$351.00
$242.00
$216.00
$277.00
$281.00
$331.00
$284.00
$289.00
$247.00
$276.00
$259.00
$280.00
$312.00
$322.00
$267.00
$273.00
$209.00
$210.00
$281.00
$282.00
$391.00
$303.00
$304.00
$297.00
$306.00
$391.00
$346.00
$312.00
$236.00
$230.00
$287.00
$383.00
$332.00
$306.00
$299.00
$301.00
$312.00
$300.00
$277.00
$295.00
$278.00
$336.00
$288.00
$303.00
$217.00
$313.00
$315.00
$274.00
$286.00
$321.00
$339.00
$338.00
Blade Weight
Sample
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
Weight
4.88
4.92
5.02
4.97
5.00
4.99
4.86
5.07
5.04
4.87
4.77
5.14
5.04
5.00
4.88
4.91
5.09
4.97
4.98
5.07
5.03
5.12
5.08
4.86
5.11
4.92
5.18
4.93
5.12
5.08
4.75
4.99
5.00
4.91
5.18
4.95
4.63
4.89
5.11
5.05
5.03
5.02
4.96
5.04
4.93
5.06
5.07
5.00
5.03
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
5.00
4.95
4.99
5.02
4.90
5.10
5.01
4.84
5.01
4.88
4.97
4.97
5.06
5.06
5.04
4.87
5.00
5.03
5.02
5.02
5.06
5.21
5.09
4.97
5.01
4.90
4.89
4.93
5.16
5.02
5.01
5.10
5.03
5.07
4.92
5.08
4.96
4.74
4.91
5.12
5.00
4.93
4.88
4.88
4.81
5.16
5.03
4.87
5.09
4.94
5.08
4.97
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
5.23
5.12
5.09
5.12
4.93
4.79
5.10
5.12
4.86
5.00
4.94
4.95
4.95
4.87
5.09
4.94
5.01
5.04
5.05
5.05
4.97
4.96
4.96
4.99
5.04
4.91
5.19
5.03
4.99
5.12
4.97
4.88
5.07
5.01
4.89
4.95
5.09
5.09
4.89
4.93
4.85
5.03
4.92
5.09
4.99
4.92
4.87
4.90
5.02
5.21
5.02
4.9
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
5
5.16
5.03
4.96
5.04
4.98
5.07
5.02
5.08
4.85
4.9
4.97
5.09
4.89
4.87
5.01
4.97
5.87
5.33
5.11
5.07
4.93
4.99
5.04
5.14
5.09
5.06
4.85
4.93
5.04
5.09
5.07
4.99
5.01
4.88
4.93
5.1
4.94
4.88
4.89
4.89
4.85
4.82
5.02
4.9
4.73
5.04
5.07
4.81
5.04
5.03
5.01
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
5.14
5.12
4.89
4.91
4.97
4.98
5.01
5.01
5.09
4.93
5.04
5.11
5.07
4.95
4.86
5.13
4.95
5.22
4.81
4.91
4.95
4.94
4.81
5.11
4.81
4.97
5.07
5.03
4.81
4.95
4.89
5.08
4.93
4.99
4.94
5.13
5.02
5.07
4.82
5.03
4.85
4.89
4.82
5.18
5.02
5.05
4.88
5.08
4.98
5.02
4.99
5.02
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
5.03
5.02
5.07
4.95
4.95
4.94
5.12
5.08
4.91
4.96
4.96
4.94
5.19
4.91
5.01
4.93
5.05
4.96
4.92
4.95
5.08
4.97
5.04
4.94
4.98
5.03
5.05
4.91
5.09
5.21
4.87
5.02
4.81
4.96
5.06
4.86
4.96
4.99
4.94
5.06
4.95
5.02
5.01
5.04
5.01
5.02
5.03
5.18
5.08
5.14
4.92
4.97
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
4.92
5.14
4.92
5.03
4.98
4.76
4.94
4.92
4.91
4.96
5.02
5.13
5.13
4.92
4.98
4.89
4.88
5.11
5.11
5.08
5.03
4.94
4.88
4.91
4.86
4.89
4.91
4.87
4.93
5.14
4.87
4.98
4.88
4.88
5.01
4.93
4.93
4.99
4.91
4.96
4.78
Mower Test Functional Performance
Sample
Observation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
1
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
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Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Fail
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Fail
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Fail
29
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
30
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Fail
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Fail
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Employee Retention
YearsPLE YrsEducation College GPA
10
18
3.01
10
16
2.78
10
18
3.15
10
18
3.86
9.6
16
2.58
8.5
16
2.96
8.4
17
3.56
8.4
16
2.64
8.2
18
3.43
7.9
15
2.75
7.6
13
2.95
7.5
13
2.50
7.5
16
2.86
7.2
15
2.38
6.8
16
3.47
6.5
16
3.10
6.3
13
2.98
6.2
16
2.71
5.9
13
2.95
5.8
18
3.36
5.4
16
2.75
5.1
17
2.48
4.8
14
2.76
4.7
16
3.12
4.5
13
2.96
4.3
16
2.80
4
17
3.57
3.9
16
3.00
3.7
16
2.86
3.7
15
3.19
3.7
16
3.50
3.5
14
2.84
3.4
16
3.13
2.5
13
1.75
1.8
16
2.98
1.5
15
2.13
0.9
16
2.79
0.8
18
3.15
0.7
13
1.84
0.3
18
3.79
Age Gender College Grad Local
33
F
Y
Y
25
M
Y
Y
26
M
Y
N
24
F
Y
Y
25
F
Y
Y
23
M
Y
Y
35
M
Y
Y
23
M
Y
Y
32
F
Y
Y
34
M
N
Y
28
M
N
Y
23
M
N
Y
24
M
Y
Y
23
F
N
Y
27
F
Y
Y
26
M
Y
Y
21
M
N
Y
23
M
Y
N
20
F
N
Y
25
M
Y
Y
24
M
Y
N
32
M
Y
N
28
M
N
Y
25
F
Y
N
23
M
N
Y
25
M
Y
N
24
M
Y
Y
26
F
Y
N
23
M
Y
N
24
M
N
N
23
F
Y
N
21
M
N
Y
24
M
Y
N
22
M
N
N
25
M
Y
N
22
M
N
N
23
F
Y
Y
26
M
Y
N
22
F
N
N
24
F
Y
N
Unit Shipping Cost
Plant
Singapore
Birmingham
Frankfurt
Mumbai
Kansas City
Auckland
Santiago
Singapore
Birmingham
Frankfurt
Mumbai
Kansas City
Auckland
Santiago
Singapore
Birmingham
Frankfurt
Mumbai
Kansas City
Auckland
Santiago
Singapore
Birmingham
Frankfurt
Mumbai
Kansas City
Auckland
Santiago
Singapore
Birmingham
Frankfurt
Mumbai
Kansas City
Auckland
Santiago
Singapore
Birmingham
Frankfurt
Mumbai
Kansas City
Auckland
Santiago
Singapore
Birmingham
Frankfurt
Mumbai
Kansas City
Auckland
Santiago
Customer Mowers Tractors
Toronto
$1.71
$2.03
Toronto
$1.34
$1.78
Toronto
$1.52
$1.87
Toronto
$1.67
$2.14
Toronto
$1.36
$1.79
Toronto
$1.86
$2.19
Toronto
$1.49
$2.13
Shanghai
$1.44
$1.78
Shanghai
$1.60
$2.15
Shanghai
$1.65
$2.32
Shanghai
$1.21
$1.47
Shanghai
$1.58
$2.13
Shanghai
$1.18
$1.63
Shanghai
$1.47
$2.03
Mexico City
$1.72
$2.09
Mexico City
$1.29
$1.79
Mexico City
$1.54
$2.04
Mexico City
$1.56
$2.22
Mexico City
$1.32
$1.76
Mexico City
$1.50
$2.07
Mexico City
$1.22
$1.58
Melbourne
$1.43
$1.70
Melbourne
$1.52
$2.06
Melbourne
$1.73
$2.28
Melbourne
$1.38
$1.63
Melbourne
$1.72
$2.34
Melbourne
$0.91
$1.17
Melbourne
$1.49
$1.80
London
$1.88
$2.68
London
$1.47
$1.77
London
$1.37
$1.64
London
$1.44
$1.82
London
$1.49
$1.86
London
$1.98
$2.60
London
$1.58
$2.14
Caracas
$1.50
$2.01
Caracas
$1.37
$1.86
Caracas
$1.59
$1.88
Caracas
$1.61
$2.08
Caracas
$1.54
$1.90
Caracas
$1.54
$1.98
Caracas
$1.00
$1.26
Atlanta
$1.73
$2.35
Atlanta
$1.02
$1.25
Atlanta
$1.42
$1.70
Atlanta
$1.57
$2.23
Atlanta
$1.31
$1.82
Atlanta
$1.74
$2.26
Atlanta
$1.31
$1.76
Fixed Costs of Capacity Increase or New Construction
Current Plants
Kansas City
Kansas City
Santiago
Santiago
Proposed Locations
Auckland
Auckland
Birmingham
Birmingham
Frankfurt
Frankfurt
Mumbai
Mumbai
Singapore
Singapore
Additional Capacity
10000
20000
5000
10000
Cost
$605,000.00
$985,000.00
$381,000.00
$680,000.00
Maximum capacity
15,000
20,000
15,000
20,000
15,000
20,000
15,000
25,000
15,000
20,000
Cost
$917,000.00
###########
$962,000.00
###########
$874,000.00
###########
$750,000.00
$959,000.00
$839,000.00
###########
Purchasing Survey
Delivery speed Price level Price flexibility Manufacturing image Overall service
4.1
0.6
6.9
4.7
2.4
1.8
3
6.3
6.6
2.5
3.4
5.2
5.7
6
4.3
2.7
1
7.1
5.9
1.8
6
0.9
9.6
7.8
3.4
1.9
3.3
7.9
4.8
2.6
4.6
2.4
9.5
6.6
3.5
1.3
4.2
6.2
5.1
2.8
5.5
1.6
9.4
4.7
3.5
4
3.5
6.5
6
3.7
2.4
1.6
8.8
4.8
2
3.9
2.2
9.1
4.6
3
2.8
1.4
8.1
3.8
2.1
3.7
1.5
8.6
5.7
2.7
4.7
1.3
9.9
6.7
3
3.4
2
9.7
4.7
2.7
3.2
4.1
5.7
5.1
3.6
4.9
1.8
7.7
4.3
3.4
5.3
1.4
9.7
6.1
3.3
4.7
1.3
9.9
6.7
3
3.3
0.9
8.6
4
2.1
3.4
0.4
8.3
2.5
1.2
3
4
9.1
7.1
3.5
2.4
1.5
6.7
4.8
1.9
5.1
1.4
8.7
4.8
3.3
4.6
2.1
7.9
5.8
3.4
2.4
1.5
6.6
4.8
1.9
5.2
1.3
9.7
6.1
3.2
3.5
2.8
9.9
3.5
3.1
4.1
3.7
5.9
5.5
3.9
3
3.2
6
5.3
3.1
2.8
3.8
8.9
6.9
3.3
5.2
2
9.3
5.9
3.7
3.4
3.7
6.4
5.7
3.5
2.4
1
7.7
3.4
1.7
1.8
3.3
7.5
4.5
2.5
3.6
4
5.8
5.8
3.7
4
0.9
9.1
5.4
2.4
0
2.1
6.9
5.4
1.1
2.4
2
6.4
4.5
2.1
1.9
3.4
7.6
4.6
2.6
5.9
0.9
9.6
7.8
3.4
4.9
2.3
9.3
4.5
3.6
5
1.3
8.6
4.7
3.1
2
2.6
6.5
3.7
2.4
5
2.5
9.4
4.6
3.7
3.1
1.9
10
4.5
2.6
3.4
3.9
5.6
5.6
3.6
5.8
0.2
8.8
4.5
3
5.4
3.7
2.6
4.5
2.8
3.8
2.9
4.9
5.4
4.3
2.3
3.1
5.1
4.1
3
1.1
3.7
4.2
1.6
5.3
2.3
3.6
5.6
3.6
5.2
3
4.2
3.8
3.3
1
4.5
5.5
3.4
1.6
2.3
2.6
2.5
2.4
2.1
2.9
4.3
3
4.8
3.1
1.9
4
0.6
6.1
2
3.1
2.5
2.1
0.7
4.8
4.1
2.4
0.8
2.6
4.4
2.5
1.8
4.5
1.9
1.9
1.1
3.8
2
1.4
2.5
4.5
1.7
3.7
5.4
2.2
2.2
1.3
2
2.4
0.8
2.6
1.9
1.6
1.8
4.6
2.8
3.7
3
3.1
2.9
3.5
1.2
2.5
2.8
1.7
4.2
2.7
0.5
1.6
0.5
2.8
2.2
1.8
8
8.2
8.2
6.3
6.7
8.7
7.7
7.4
9.6
7.6
8
9.9
9.2
9.3
5.5
7.2
9
9.2
6.4
8.5
8.3
5.9
8.2
9.9
9.1
6.6
9.4
8.3
9.7
7.1
8.7
8.7
5.5
6.1
7.6
8.5
7
8.4
7.4
7.3
9.3
7.8
7.6
5.1
5
6.7
6.4
9.2
5.2
6.7
9
3
6
5
5.9
4.9
2.9
7
6.9
5.5
5.4
4.7
4.5
5.8
5.5
4.9
4.7
4.5
6.2
5.3
3.7
5.2
6.2
3.1
4.8
4.5
6.6
4.9
6.1
3.3
4.5
4.6
3.8
8.2
6.4
5
6
4.2
5.9
4.8
6.1
6.3
7.1
4.2
7.8
4.9
4.5
5
4.8
5
6.8
5
3.8
2.1
3.6
4.3
2.5
1.6
2.8
4.6
4
3.1
3.3
2.6
3.6
2.5
3.4
1.6
2.6
3.3
3
3.5
3
4.5
4
2.9
3.3
2.4
3.2
2.2
2.9
1.5
3.1
3.6
4
2.3
3
2.8
2.8
2.7
2.8
2
3.4
3
3.3
3.6
2.2
2.2
0.7
3.3
2.4
2.6
2.2
Salesforce image Product quality Usage Level Satisfaction Level Size of firm
2.3
5.2
32
4.2
0
4
8.4
43
4.3
1
2.7
8.2
48
5.2
1
2.3
7.8
32
3.9
1
4.6
4.5
58
6.8
0
1.9
9.7
45
4.4
1
4.5
7.6
46
5.8
0
2.2
6.9
44
4.3
1
3
7.6
63
5.4
0
3.2
8.7
54
5.4
1
2.8
5.8
32
4.3
0
2.5
8.3
47
5
0
1.4
6.6
39
4.4
1
3.7
6.7
38
5
0
2.6
6.8
54
5.9
0
1.7
4.8
49
4.7
0
2.9
6.2
38
4.4
0
1.5
5.9
40
5.6
0
3.9
6.8
54
5.9
0
2.6
6.8
55
6
0
1.8
6.3
41
4.5
0
1.7
5.2
35
3.3
0
3.4
8.4
55
5.2
0
2.5
7.2
36
3.7
1
2.6
3.8
49
4.9
0
2.8
4.7
49
5.9
0
2.5
7.2
36
3.7
1
3.9
6.7
54
5.8
0
1.7
5.4
49
5.4
0
3
8.4
46
5.1
1
3
8
43
3.3
1
3.2
8.2
53
5
0
2.4
4.6
60
6.1
0
3.4
8.4
47
3.8
1
1.1
6.2
35
4.1
1
2.4
7.6
39
3.6
1
2.5
9.3
44
4.8
1
2.6
7.3
46
5.1
0
2.6
8.9
29
3.9
1
2.2
8.8
28
3.3
1
2.5
7.7
40
3.7
1
4.6
4.5
58
6.7
0
1.3
6.2
53
5.9
0
2.5
3.7
48
4.8
0
1.7
8.5
38
3.2
1
1.4
6.3
54
6
0
3.2
3.8
55
4.9
0
2.3
9.1
43
4.7
1
2.4
6.7
57
4.9
0
1.4
2.5
2.5
3.4
2.6
2.1
3.6
4
3
2.5
2.2
3.1
2.3
2.7
2.6
3.2
2.3
3.9
2.5
1.9
2.3
2.9
1.6
1.9
2.7
2.7
2.7
2.6
1.5
3.1
2.1
2.1
4.4
3.8
2.5
2.8
2.2
2.7
2.3
2.5
4
3.8
1.4
4
2.5
2.1
2.1
2.8
2.7
2.9
3
5.2
5.2
9
8.8
9.2
5.6
7.7
9.6
7.7
4.4
8.7
3.8
4.5
7.4
6
10
6.8
7.3
7.1
4.8
9.1
8.4
5.3
4.9
7.3
8.2
8.5
5.3
5.2
9.9
6.8
4.9
6.3
8.2
7.4
6.8
9
6.7
7.2
8
7.4
7.9
5.8
5.9
8.2
5
8.4
7.1
8.4
8.4
6
53
41
53
50
32
39
47
62
65
46
50
54
60
47
36
40
45
59
46
58
49
50
55
51
60
41
49
42
47
39
56
59
47
41
37
53
43
51
36
34
60
49
39
43
36
31
25
60
38
42
33
3.8
5
5.2
5.5
3.7
3.7
4.2
6.2
6
5.6
5
4.8
6.1
5.3
4.2
3.4
4.9
6
4.5
4.3
4.8
5.4
3.9
4.9
5.1
4.1
5.2
5.1
5.1
3.3
5.1
4.5
5.6
4.1
4.4
5.6
3.7
5.5
4.3
4
6.1
4.4
5.5
5.2
3.6
4
3.4
5.2
3.7
4.3
4.4
0
0
1
1
1
0
0
1
0
0
1
0
0
0
0
1
0
0
1
0
1
1
0
0
0
1
0
0
0
1
0
0
0
1
0
1
1
1
0
1
0
0
0
0
1
0
1
0
1
1
0
Purchasing Structure
0
1
1
1
0
1
0
1
0
1
0
0
1
0
0
0
1
0
0
0
0
0
1
1
0
0
1
0
0
1
1
1
0
1
1
1
1
0
1
1
1
0
0
0
1
0
0
1
0
Industry Buying Type
1
1
0
1
1
2
1
1
1
3
1
2
1
1
0
2
1
3
0
2
0
1
1
2
0
1
1
1
0
3
0
3
1
2
0
2
1
3
0
3
0
2
0
1
0
3
0
1
0
2
1
3
0
1
1
3
1
3
0
2
0
1
0
3
0
3
0
1
0
1
1
1
1
2
1
3
1
1
1
1
1
1
1
3
0
3
0
2
1
1
0
3
1
3
1
2
1
3
0
0
1
1
1
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0
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0
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1
1
0
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1
0
1
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3
2
2
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2
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3
3
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1
2
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1
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1
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