Statistics Question
OVERVIEW OF CASE: PERFORMANCE LAWN EQUIPMENT
1
In each topic of this course, we use fictitious company, Performance Lawn Equipment (PLE) ,
within a case exercise for applying the tools and techniques introduced in the chapter. To put
the case in perspective, we first provide some background about the company, so that the
applications of business analytic tools will be more meaningful.
PLE, headquartered in St. Louis, Missouri, is a privately owned designer and producer of
traditional lawn mowers used by homeowners. In the past ten 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 estate, 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.
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 requirement are 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 transmission; 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) provided by the instructor. The database
contains various measures captured on a monthly or quarterly basis and is used by various
managers to evaluate business performance. Data for each of the key measures are stored in
1
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.
a separate worksheet. A summary of these worksheets is given next:
⚫
⚫
⚫
⚫
⚫
⚫
⚫
⚫
⚫
⚫
⚫
⚫
⚫
Dealer Satisfaction, measured on 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 five 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
five years.
Customer Survey, results from a survey for customer ratings of specific attributes
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 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 provide monthly accounting estimates of the variable
cost per unit for manufacturing tractors and mowers over the past five 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, the number on time, and the percent on time.
Defects After Delivery, which show the number of defects in supplier-provided
material found in all shipments received from suppliers.
Time To Pay Suppliers, which provide 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 two years.
Employee Satisfaction, which provides data for the past four year 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 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 ten years prior and
identifying those who were involved in managerial positions (either hired into
management or promoted into management) at some time in this ten-year period.
Shipping Cost, which gives the unit shipping cost 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
2014
2015
2016
2017
2018
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
2014
2015
2016
2017
2018
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
Pacific Rim
2014
2015
2016
2017
2018
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
0
0
0
0
0
0
0
1
1
1
4
5
0
2
8
0
0
2
1
7
16
South America
2014
2015
2016
2017
2018
Europe
China
2016
2017
2018
End-User Satisfaction
0
1
2
3
4
Sample
5 Size
1
1
1
0
0
3
2
2
2
2
6
4
5
4
3
15
18
17
15
15
37
35
34
33
31
38
40
41
46
49
100
100
100
100
100
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
2014
2015
2016
2017
2018
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
Pacific Rim
2014
2015
2016
2017
2018
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
0
1
0
3
2
1
3
2
1
6
4
3
28 10
30 11
31 14
50
50
50
Survey Scale:
North America
2014
2015
2016
2017
2018
South America
2014
2015
2016
2017
2018
Europe
China
2016
2017
2018
Customer Survey
Region Quality Ease of UsePrice Service
NA
4
1
3
4
NA
4
4
4
5
NA
4
5
4
3
NA
5
4
4
4
NA
5
4
5
4
NA
5
5
3
5
NA
5
4
4
2
NA
5
5
4
5
NA
4
4
4
5
NA
4
5
4
5
NA
4
5
1
4
NA
5
5
4
4
NA
5
4
3
3
NA
4
5
4
4
NA
5
4
3
5
NA
5
5
2
5
NA
5
4
2
5
NA
5
4
2
5
NA
4
5
4
4
NA
4
4
5
4
NA
4
4
2
4
NA
4
3
3
4
NA
5
5
2
5
NA
5
3
4
3
NA
5
4
4
5
NA
5
5
2
5
NA
5
5
5
3
NA
4
4
5
4
NA
5
4
4
4
NA
5
1
5
5
NA
5
4
3
5
NA
4
5
1
4
NA
4
4
3
5
NA
5
3
4
4
NA
5
5
2
4
NA
5
4
4
4
NA
5
5
4
4
NA
5
5
4
5
NA
4
3
3
5
NA
5
4
4
3
NA
5
4
3
4
NA
5
5
1
5
NA
5
4
5
4
NA
3
4
3
4
NA
5
4
2
4
NA
5
5
4
5
NA
5
5
3
4
NA
5
4
4
4
NA
5
4
4
4
NA
5
4
4
5
NA
5
4
1
4
NA
5
4
5
5
NA
5
5
3
4
NA
5
4
4
5
NA
4
3
5
5
NA
5
4
4
4
NA
5
5
5
5
NA
5
5
4
5
NA
4
4
4
4
NA
5
4
5
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
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
4
5
5
5
5
4
4
5
5
5
5
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
5
5
5
4
4
4
4
4
4
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
5
5
3
4
5
5
4
4
3
5
4
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
5
4
2
5
5
4
5
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
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
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
3
5
4
4
4
4
4
5
4
5
5
4
4
5
5
5
3
4
4
5
4
5
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
3
4
4
5
1
5
4
4
4
5
5
4
4
4
4
4
4
3
4
4
3
3
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
4
4
4
5
4
4
4
3
4
4
4
2
4
4
4
1
4
5
2
3
4
5
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
5
4
1
5
5
4
5
4
5
3
4
4
5
5
4
4
5
4
3
3
5
5
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
Pac
Pac
Pac
Pac
China
China
China
China
China
China
China
China
China
China
5
4
3
5
5
5
4
4
4
4
4
3
3
2
5
2
4
4
5
5
4
4
4
4
4
4
4
3
4
3
4
4
4
4
3
3
3
3
3
3
2
2
5
3
4
5
4
3
3
3
2
3
2
3
2
1
Complaints
Month World NA SA Eur Pac China
Jan-14
169 102 12 52
3
Feb-14
187 115 13 55
4
Mar-14
210 128 15 61
6
Apr-14
226 136 16 67
7
May-14
232 137 17 73
5
Jun-14
261 151 19 82
9
Jul-14
245 140 18 80
7
Aug-14
223 128 16 76
3
Sep-14
195 103 15 73
4
Oct-14
174 96 14 62
2
Nov-14
154 84 11 59
0
Dec-14
163 99
9 54
1
Jan-15
195 123 10 59
3
Feb-15
221 141 13 62
5
Mar-15
240 152 16 66
6
Apr-15
264 163 20 70
11
May-15
283 178 22 75
8
Jun-15
296 170 28 86
12
Jul-15
269 153 25 81
10
Aug-15
256 146 23 79
8
Sep-15
231 131 20 73
7
Oct-15
214 125 16 68
5
Nov-15
201 118 13 66
4
Dec-15
171 96 11 61
3
Jan-16
200 112 15 66
4
3
Feb-16
216 117 18 71
6
4
Mar-16
234 126 20 76
9
3
Apr-16
253 138 23 79
11
2
May-16
282 152 26 85
14
5
Jun-16
305 163 30 91
15
6
Jul-16
296 156 28 89
18
5
Aug-16
279 148 26 86
15
4
Sep-16
266 143 24 82
13
4
Oct-16
243 131 21 76
12
3
Nov-16
232 128 18 73
10
3
Dec-16
203 107 15 70
7
4
Jan-17
216 110 19 74
8
5
Feb-17
239 123 23 79
10
4
Mar-17
266 138 26 83
13
6
Apr-17
284 150 30 88
11
5
May-17
315 169 33 91
15
7
Jun-17
340 181 37 95
19
8
Jul-17
319 169 34 92
17
7
Aug-17
304 160 32 90
15
7
Sep-17
277 141 29 87
14
6
Oct-17
250 123 26 83
12
6
Nov-17
228 112 24 77
10
5
Dec-17
213 105 23 74
7
4
Jan-18
240 121 26 80
8
5
Feb-18
251 126 28 82
10
5
Mar-18
281 148 31 85
12
5
Apr-18
298 155 35 89
13
6
May-18
322 168 39 95
12
8
Jun-18
350 183 43 98
15
11
Jul-18
330 170 41 95
14
10
Aug-18
311 158 38 93
13
9
Sep-18
289 149 33 89
11
7
Oct-18
265 136 30 85
8
6
Nov-18
239 121 26 80
7
5
Dec-18
219 108 23 76
7
5
A
1
2
3
B
C
D
E
F
G
Mower Unit Sales
Month
NA
SA EuropePacific China World
Jan-14 6000 200
720
100
0 7020
5
Feb-14 7950 220
990
120
0 9280
6
Mar-14 8100 250 1320
110
0 9780
7
Apr-14 9050 280 1650
120
0 ####
8
May-14 9900 310 1590
130
0 ####
9
Jun-14 10200 300 1620
120
0 ####
10
Jul-14 8730 280 1590
140
0 ####
11
Aug-14 8140 250 1560
130
0 ####
12
Sep-14 6480 230 1590
130
0 8430
13
Oct-14 5990 220 1320
120
0 7650
14
Nov-14 5320 210
990
130
0 6650
15
Dec-14 4640 180
660
140
0 5620
16
Jan-15 5980 210
690
140
0 7020
17
Feb-15 7620 240 1020
150
0 9030
18
Mar-15 8370 250 1290
140
0 ####
19
Apr-15 8830 290 1620
150
0 ####
20
May-15 9310 330 1650
130
0 ####
21
Jun-15 10230 310 1590
140
0 ####
22
Jul-15 8720 290 1560
150
0 ####
23
Aug-15 7710 270 1530
140
0 9650
24
Sep-15 6320 250 1590
150
0 8310
25
Oct-15 5840 250 1260
160
0 7510
26
Nov-15 4960 240
900
150
0 6250
27
Dec-15 4350 210
660
150
0 5370
28
Jan-16 6020 220
570
160
0 6970
29
Feb-16 7920 250
840
150
0 9160
30
Mar-16 8430 270 1110
160
0 9970
31
Apr-16 9040 310 1500
170
0 ####
32
May-16 9820 360 1440
160
0 ####
33
Jun-16 10370 330 1410
170
0 ####
34
Jul-16 9050 310 1440
160
0 ####
35
Aug-16 7620 300 1410
170
0 9500
36
Sep-16 6420 280 1350
180
0 8230
37
Oct-16 5890 270 1080
180
0 7420
38
Nov-16 5340 260
840
190
0 6630
39
Dec-16 4430 230
510
180
0 5350
40
Jan-17 6100 250
480
200
0 7030
41
Feb-17 8010 270
750
190
0 9220
42
Mar-17 8430 280 1140
200
0 ####
43
Apr-17 9110 320 1410
210
0 ####
44
May-17 9730 380 1340
190
0 ####
45
Jun-17 10120 360 1360
200
0 ####
46
Jul-17 9080 320 1410
200
0 ####
47
Aug-17 7820 310 1490
210
0 9830
48
Sep-17 6540 300 1310
220
0 8370
49
Oct-17 6010 290
980
210
0 7490
50
Nov-17 5270 270
770
220
0 6530
51
Dec-17 5380 260
430
230
0 6300
52
Jan-18 6210 270
400
200
0 7080
53
Feb-18 8030 280
750
190
0 9250
54
Mar-18 8540 300
970
210
5 ####
55
Apr-18 9120 340 1310
220
16 ####
56
May-18 9570 390 1260
200
22 ####
57
Jun-18 10230 380 1240
210
26 ####
58
Jul-18 9580 350 1300
230
14 ####
59
Aug-18 7680 340 1250
220
15 9505
60
Sep-18 6870 320 1210
220
11 8631
61
Oct-18 5930 310
970
230
3 7443
62
Nov-18 5260 300
650
240
1 6451
63
Dec-18 4830 290
300
230
0 5650
4
Tractor Unit Sales
Month NA
SA
Eur
Pacific China World
Jan-14
570
250
560
212
0
1592
Feb-14
611
270
600
230
0
1711
Mar-14
630
260
680
240
0
1810
Apr-14
684
270
650
263
0
1867
May-14
650
280
580
269
0
1779
Jun-14
600
270
590
280
0
1740
Jul-14
512
264
760
290
0
1826
Aug-14
500
280
645
270
0
1695
Sep-14
478
290
650
263
0
1681
Oct-14
455
280
670
258
0
1663
Nov-14
407
290
888
240
0
1825
Dec-14
360
280
850
230
0
1720
Jan-15
571
320
620
250
0
1761
Feb-15
650
350
760
275
0
2035
Mar-15
740
390
742
270
0
2142
Apr-15
840
440
780
280
0
2340
May-15
830
470
690
290
0
2280
Jun-15
760
490
721
300
0
2271
Jul-15
681
481
680
312
0
2154
Aug-15
670
460
711
305
0
2146
Sep-15
640
460
695
290
0
2085
Oct-15
620
440
650
260
0
1970
Nov-15
570
436
680
250
0
1936
Dec-15
533
420
657
240
0
1850
Jan-16
620
510
610
250
10
2000
Feb-16
792
590
680
250
12
2324
Mar-16
890
610
730
260
20
2510
Apr-16
960
600
820
270
22
2672
May-16
1040
620
810
290
20
2780
Jun-16
1032
640
807
310
24
2813
Jul-16
1006
590
760
340
20
2716
Aug-16
910
600
720
320
31
2581
Sep-16
803
670
660
313
30
2476
Oct-16
730
630
630
290
37
2317
Nov-16
699
710
603
280
32
2324
Dec-16
647
570
570
260
33
2080
Jan-17
730
650
500
287
35
2202
Feb-17
930
680
590
290
50
2540
Mar-17
1160
724
620
300
63
2867
Apr-17
1510
730
730
310
68
3348
May-17
1650
760
740
330
70
3550
Jun-17
1490
800
720
340
82
3432
Jul-17
1460
840
670
350
80
3400
Aug-17
1390
830
610
341
90
3261
Sep-17
1360
820
599
330
100
3209
Oct-17
1340
810
560
320
102
3132
Nov-17
1240
827
550
300
110
3027
Dec-17
1103
750
520
290
114
2777
Jan-18
1250
780
480
200
111
2821
Feb-18
1550
805
523
210
121
3209
Mar-18
1820
830
560
220
123
3553
Apr-18
2010
890
570
230
120
3820
May-18
2230
930
590
253
130
4133
Jun-18
2490
980
600
270
136
4476
Jul-18
2440
1002
580
280
134
4436
Aug-18
2334
970
570
250
132
4256
Sep-18
2190
960
550
230
137
4067
Oct-18
2080
930
530
220
130
3890
Nov-18
2050
920
517
190
139
3816
Dec-18
2004
902
490
190
131
3717
Industry Mower Total Sales
Month NA
SA Eur
Pac
China World
Jan-14 60000 571 13091
1045
0
74662
Feb-14 77184 611 17679
1111
0
96585
Mar-14 77885 658 22759
1068
0 102369
Apr-14 86190 778 27966
1237
0 116171
May-14 96117 886 27895
1313
0 126210
Jun-14 97143 882 30566
1176
0 129768
Jul-14 84757 848 29444
1359
0 116409
Aug-14 79804 735 28364
1238
0 110141
Sep-14 64800 657 28393
1215
0
95065
Oct-14 59307 595 24444
1154
0
85500
Nov-14 52157 553 18000
1262
0
71972
Dec-14 45049 462 12453
1386
0
59349
Jan-15 58627 553 12778
1443
0
73401
Feb-15 76200 615 18214
1515
0
96545
Mar-15 82871 658 23889
1373
0 108791
Apr-15 84904 784 29455
1442
0 116584
May-15 93100 846 29464
1215
0 124625
Jun-15 93000 838 27414
1333
0 122585
Jul-15 83048 763 27368
1415
0 112594
Aug-15 74854 694 27321
1296
0 104164
Sep-15 60769 625 29444
1402
0
92241
Oct-15 55619 610 23774
1468
0
81470
Nov-15 48155 571 17308
1351
0
67386
Dec-15 42647 512 12941
1389
0
57489
Jan-16 57885 537 10962
1509
0
70892
Feb-16 77647 595 15273
1402
0
94917
Mar-16 81845 659 20556
1524
0 104583
Apr-16 86095 756 26786
1574
0 115211
May-16 91776 878 24828
1468
0 118949
Jun-16 100680 825 24737
1560
0 127801
Jul-16 86190 756 24828
1441
0 113216
Aug-16 71887 714 25179
1545
0
99325
Sep-16 60000 651 24545
1667
0
86863
Oct-16 55566 643 19286
1698
0
77193
Nov-16 50857 619 15273
1810
0
68558
Dec-16 42596 548 9107
1731
0
53982
Jan-17 58095 581 8571
1887
0
69135
Feb-17 75566 614 13158
1845
0
91182
Mar-17 80286 622 19655
1923
0 102486
Apr-17 85140 727 25179
1981
125 113027
May-17 90093 826 23103
1810
142 115832
Jun-17 95472 783 24286
1942
226 122482
Jul-17 87308 681 24737
1961
230 114686
Aug-17 74476 646 26607
2000
122 103729
Sep-17 61698 625 22982
2075
56
87381
Oct-17 57238 617 16897
2019
10
76771
Nov-17 50673 587 13750
2095
0
67105
Dec-17 51238 591 7818
2150
0
61797
Jan-18 59712 563 7547
1852
0
69673
Feb-18 77961 571 13889
1743
0
94165
Mar-18 83725 625 18302
1892
0 104544
Apr-18 90297 723 25192
2037
236 118250
May-18 91143 848 24706
1887
542 118583
Jun-18 99320 792 25306
1944
875 127363
Jul-18 93922 745 27083
2170
1386 123919
Aug-18 73143 739 26042
2037
1193 101961
Sep-18 66699 667 26304
2018
421
95688
Oct-18 56476 660 22558
2072
56
81766
Nov-18 51068 625 14773
2182
0
68648
Dec-18 46893 608 6977
2035
0
56510
Industry Tractor Total Sales
Month NA
SA
Eur
Pac
China World
Jan-14
8143
984
5091
987
278 15483
Feb-14
8592
1051
5310
1090
283 16325
Mar-14
8630
1016
6071
1127
285 17129
Apr-14
8947
1027
5856
1209
288 17327
#####
8442
1057
5273
1221
286 16278
Jun-14
7500
1019
5315
1327
287 15448
Jul-14
6145
977
7170
1324
289 15905
#####
5882
1057
5926
1268
290 14422
#####
5595
1086
6075
1209
293 14258
Oct-14
5233
1045
6321
1168
295 14061
#####
4494
1078
8381
1127
298 15378
#####
3913
1029
7944
1085
301 14272
Jan-15
5938
1172
5688
1185
306 14289
Feb-15
6633
1273
7037
1286
302 16530
Mar-15
7327
1423
6981
1286
303 17320
Apr-15
8077
1612
7500
1346
307 18842
#####
7830
1728
6571
1388
309 17826
Jun-15
7103
1815
6990
1449
312 17669
Jul-15
6239
1776
6667
1490
315 16487
#####
6036
1685
6762
1449
318 16250
#####
5664
1679
6635
1394
321 15692
Oct-15
5345
1618
6311
1256
315 14844
#####
4831
1564
6476
1214
318 14402
#####
4454
1522
6250
1171
320 13716
Jan-16
5299
1835
5922
1208
333 14597
Feb-16
6529
2115
6667
1214
313 16836
Mar-16
7120
2202
7228
1256
606 18412
Apr-16
7619
2151
8200
1311
571 19852
#####
8387
2214
7941
1415
556 20513
Jun-16
8110
2278
7921
1520
526 20355
Jul-16
7752
2100
7677
1675
513 19716
#####
6894
2128
7200
1584
769 18575
#####
6015
2367
6735
1527
750 17394
Oct-16
5368
2211
6495
1422
732 16226
#####
4964
2483
6061
1366
714 15587
#####
4444
1986
5816
1262
698 14207
Jan-17
5000
2257
5051
1373
714 14394
Feb-17
6284
2353
6082
1436
1063 17218
Mar-17
7785
2457
6327
1478
1264 19310
Apr-17
9934
2517
7604
1512
1333 22901
##### 10645
2612
7789
1642
1556 24244
Jun-17
9491
2749
7347
1667
1739 22993
Jul-17
9182
2887
6979
1733
1702 22483
#####
8528
2833
6489
1700
1915 21465
#####
8293
2789
6316
1642
2083 21123
Oct-17
8221
2765
5833
1576
2128 20523
#####
7470
2746
5789
1493
2292 19789
#####
6509
2534
5591
1450
2245 18329
Jan-18
7267
2635
5106
1010
2292 18311
Feb-18
8807
2703
5474
1045
2449 20477
Mar-18 10168
2795
6022
1106
2400 22489
Apr-18 11044
2997
6064
1150
2353 23607
##### 12120
3131
6344
1244
2600 25439
Jun-18 13459
3311
6593
1357
2653 27374
Jul-18 13048
3390
6304
1421
2600 26764
##### 12275
3277
6064
1263
2549 25428
##### 11347
3232
5789
1173
2453 23995
Oct-18 10667
3131
5699
1128
2517 23142
##### 10459
3087
5604
974
2541 22666
##### 10082
3030
5444
979
2453 21989
Unit Production Costs
Month
Tractor Mower
Jan-14
$1,750
$50
Feb-14
$1,755
$50
Mar-14
$1,763
$51
Apr-14
$1,770
$51
May-14
$1,778
$51
Jun-14
$1,785
$51
Jul-14
$1,792
$51
Aug-14
$1,795
$51
Sep-14
$1,801
$52
Oct-14
$1,804
$52
Nov-14
$1,810
$52
Dec-14
$1,813
$52
Jan-15
$1,835
$55
Feb-15
$1,841
$55
Mar-15
$1,848
$55
Apr-15
$1,854
$55
May-15
$1,860
$56
Jun-15
$1,866
$56
Jul-15
$1,872
$56
Aug-15
$1,878
$56
Sep-15
$1,885
$56
Oct-15
$1,892
$57
Nov-15
$1,897
$57
Dec-15
$1,903
$57
Jan-16
$1,925
$59
Feb-16
$1,931
$59
Mar-16
$1,938
$59
Apr-16
$1,944
$59
May-16
$1,950
$59
Jun-16
$1,956
$60
Jul-16
$1,963
$60
Aug-16
$1,969
$60
Sep-16
$1,976
$60
Oct-16
$1,983
$60
Nov-16
$1,990
$61
Dec-16
$1,996
$61
Jan-17
$2,011
$59
Feb-17
$2,001
$59
Mar-17
$2,024
$59
Apr-17
May-17
Jun-17
Jul-17
Aug-17
Sep-17
Oct-17
Nov-17
Dec-17
Jan-18
Feb-18
Mar-18
Apr-18
May-18
Jun-18
Jul-18
Aug-18
Sep-18
Oct-18
Nov-18
Dec-18
$2,030
$2,039
$2,026
$2,034
$2,033
$2,056
$2,065
$2,068
$2,069
$2,073
$2,077
$2,081
$2,086
$2,092
$2,098
$2,104
$2,110
$2,116
$2,122
$2,129
$2,135
$59
$60
$60
$60
$60
$60
$60
$61
$61
$63
$63
$63
$63
$63
$63
$64
$64
$64
$64
$64
$64
Operating and Interest Expenses
Month AdministrativeDepreciationInterest
Jan-14
$633,073
$140,467 $7,244
Feb-14
$607,904
$165,636 $7,679
Mar-14
$630,687
$142,853 $6,887
Apr-14
$613,401
$160,139 $6,917
#####
$607,664
$165,876 $8,316
Jun-14
$632,967
$140,573 $7,428
Jul-14
$609,604
$163,936 $8,737
#####
$607,749
$165,791 $7,054
#####
$603,367
$170,173 $8,862
Oct-14
$629,083
$144,457 $8,488
#####
$611,995
$161,545 $7,049
#####
$625,712
$147,828 $8,807
Jan-15
$656,123
$175,447 $7,430
Feb-15
$652,679
$178,891 $6,791
Mar-15
$655,521
$176,049 $8,013
Apr-15
$676,581
$154,989 $8,979
#####
$676,581
$154,989 $7,484
Jun-15
$656,440
$175,130 $7,858
Jul-15
$661,969
$169,601 $7,424
#####
$677,212
$154,358 $6,848
#####
$653,545
$178,025 $6,751
Oct-15
$657,388
$174,182 $8,160
#####
$672,475
$159,095 $7,898
#####
$656,325
$175,245 $8,953
Jan-16
$723,594
$226,526 $9,443
Feb-16
$759,042
$191,078 $8,464
Mar-16
$749,187
$200,933 $10,264
Apr-16
$751,499
$198,621 $8,547
#####
$741,452
$208,668 $8,578
Jun-16
$729,122
$220,998 $9,519
Jul-16
$734,783
$215,337 $9,343
#####
$748,208
$201,912 $8,448
#####
$738,186
$211,934 $9,957
Oct-16
$759,403
$190,717 $9,738
#####
$726,183
$223,937 $9,785
#####
$757,037
$193,083 $8,191
Jan-17
$672,232
$179,138 $9,914
Feb-17
$665,023
$186,347 $9,954
Mar-17
$667,657
$183,713 $10,859
Apr-17
#####
Jun-17
Jul-17
#####
#####
Oct-17
#####
#####
Jan-18
Feb-18
Mar-18
Apr-18
#####
Jun-18
Jul-18
#####
#####
Oct-18
#####
#####
$654,198
$659,435
$661,190
$647,321
$666,743
$678,705
$658,990
$656,221
$676,934
$641,571
$634,973
$662,054
$654,962
$645,579
$658,112
$637,711
$638,317
$651,996
$630,766
$645,095
$637,807
$197,172
$191,935
$190,180
$204,049
$184,627
$172,665
$192,380
$195,149
$174,436
$210,589
$217,187
$190,106
$197,198
$206,581
$194,048
$214,449
$213,843
$200,164
$221,394
$207,065
$214,353
$9,730
$10,430
$10,222
$10,102
$10,610
$9,374
$10,830
$9,017
$10,423
$9,985
$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 deliveriesNumber On TimePercent
Jan-14
1086
1069 98.4%
Feb-14
1101
1080 98.1%
Mar-14
1116
1089 97.6%
Apr-14
1216
1199 98.6%
May-14
1183
1168 98.7%
Jun-14
1176
1160 98.6%
Jul-14
1198
1181 98.6%
Aug-14
1205
1189 98.7%
Sep-14
1223
1210 98.9%
Oct-14
1209
1194 98.8%
Nov-14
1198
1180 98.5%
Dec-14
1243
1223 98.4%
Jan-15
1220
1201 98.4%
Feb-15
1241
1224 98.6%
Mar-15
1237
1217 98.4%
Apr-15
1258
1242 98.7%
May-15
1262
1246 98.7%
Jun-15
1227
1212 98.8%
Jul-15
1243
1227 98.7%
Aug-15
1281
1264 98.7%
Sep-15
1272
1254 98.6%
Oct-15
1295
1278 98.7%
Nov-15
1298
1281 98.7%
Dec-15
1318
1296 98.3%
Jan-16
1281
1264 98.7%
Feb-16
1320
1304 98.8%
Mar-16
1352
1334 98.7%
Apr-16
1336
1320 98.8%
May-16
1291
1276 98.8%
Jun-16
1342
1326 98.8%
Jul-16
1352
1337 98.9%
Aug-16
1377
1360 98.8%
Sep-16
1385
1368 98.8%
Oct-16
1356
1338 98.7%
Nov-16
1362
1346 98.8%
Dec-16
1349
1333 98.8%
Jan-17
1386
1371 98.9%
Feb-17
1358
1342 98.8%
Mar-17
1371
1356 98.9%
Apr-17
1362
1348 99.0%
May-17
1350
1338 99.1%
Jun-17
1381
1366 98.9%
Jul-17
1392
1378 99.0%
Aug-17
1371
1359 99.1%
Sep-17
1402
1387 98.9%
Oct-17
1384
1370 99.0%
Nov-17
1399
1377 98.4%
Dec-17
1369
1357 99.1%
Jan-18
1401
1390 99.2%
Feb-18
1388
1376 99.1%
Mar-18
1395
1385 99.3%
Apr-18
1412
1401 99.2%
May-18
1403
1392 99.2%
Jun-18
1415
1402 99.1%
Jul-18
1426
1415 99.2%
Aug-18
1431
1420 99.2%
Sep-18
1445
1426 98.7%
Oct-18
1425
1414 99.2%
Nov-18
1413
1403 99.3%
Dec-18
1456
1427 98.0%
A
1
B
C
D
E
F
Defects After Delivery
2
Defects per million items received from suppliers
4 Month
2014
2015
2016
2017
2018
5 January
812
828
824
682
571
6 February
810
832
836
695
575
7 March
813
847
818
692
547
8 April
823
839
825
686
542
9 May
832
832
804
673
532
10 June
848
840
812
681
496
11 July
837
849
806
696
472
12 August
831
857
798
688
460
13 September
827
839
804
671
441
14 October
838
842
713
645
445
15 November
826
828
705
617
438
16 December
819
816
686
603
436
3
Time to Pay Suppliers
Month
Working Days
Jan-14
8.32
Feb-14
8.28
Mar-14
8.29
Apr-14
8.32
May-14
8.36
Jun-14
8.35
Jul-14
8.34
Aug-14
8.32
Sep-14
8.36
Oct-14
8.33
Nov-14
8.32
Dec-14
8.29
Jan-15
7.89
Feb-15
7.65
Mar-15
7.58
Apr-15
7.53
May-15
7.48
Jun-15
7.45
Jul-15
7.36
Aug-15
7.35
Sep-15
7.32
Oct-15
7.3
Nov-15
7.27
Dec-15
7.25
Jan-16
7.22
Feb-16
7.21
Mar-16
7.22
Apr-16
7.29
May-16
7.25
Jun-16
7.23
Jul-16
7.28
Aug-16
7.25
Sep-16
7.24
Oct-16
7.26
Nov-16
7.21
Dec-16
7.23
Jan-17
7.24
Feb-17
7.19
Mar-17
7.21
Apr-17
7.23
May-17
7.22
Jun-17
7.19
Jul-17
7.17
Aug-17
7.15
Sep-17
7.16
Oct-17
7.16
Nov-17
7.15
Dec-17
7.14
Jan-18
7.12
Feb-18
7.11
Mar-18
7.11
Apr-18
7.11
May-18
7.11
Jun-18
7.12
Jul-18
7.08
Aug-18
7.09
Sep-18
7.09
Oct-18
7.04
Nov-18
7.06
Dec-18
7.08
Response times to customer service calls (days)
Q1 2017 Q2 2017 Q3 2017 Q4 2017 Q1 2018 Q2 2018 Q3 2018 Q4 2018
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 ProductionSample sizeManager Sample sizeAdministrationSample sizeTotal Sample size
1st Q-15
2.86
100
3.81
10
3.51
30
3.07
140
2nd Q-15
2.91
100
3.76
10
3.38
30
3.07
140
3rd Q-15
2.84
100
3.86
10
3.45
30
3.04
140
4th Q-15
2.83
100
3.48
10
3.61
30
3.04
140
1st Q-16
2.91
100
3.75
20
3.37
30
3.11
150
2nd Q-16
2.94
100
3.92
20
3.53
30
3.19
150
3rd Q-16
2.86
100
3.89
20
3.47
30
3.12
150
4th Q-16
2.83
100
3.58
20
3.66
30
3.10
150
1st Q-17
2.95
100
3.82
20
3.71
40
3.25
160
2nd Q-17
3.01
100
4.01
20
3.53
40
3.27
160
3rd Q-17
3.03
100
3.92
20
3.62
40
3.29
160
4th Q-17
2.96
100
3.84
20
3.48
40
3.20
160
1st Q-18
3.05
100
3.92
20
3.52
40
3.28
160
2nd Q-18
3.12
100
4.00
20
3.37
40
3.29
160
3rd Q-18
3.06
100
3.93
20
3.46
40
3.27
160
4th Q-18
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 AProcess 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 Weight
1
4.88
2
4.92
3
5.02
4
4.97
5
5.00
6
4.99
7
4.86
8
5.07
9
5.04
10
4.87
11
4.77
12
5.14
13
5.04
14
5.00
15
4.88
16
4.91
17
5.09
18
4.97
19
4.98
20
5.07
21
5.03
22
5.12
23
5.08
24
4.86
25
5.11
26
4.92
27
5.18
28
4.93
29
5.12
30
5.08
31
4.75
32
4.99
33
5.00
34
4.91
35
5.18
36
4.95
37
4.63
38
4.89
39
5.11
40
41
42
43
44
45
46
47
48
49
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
5.05
5.03
5.02
4.96
5.04
4.93
5.06
5.07
5.00
5.03
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
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
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
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
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
154
155
156
157
158
159
160
161
162
163
164
165
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
5
5.16
5.03
4.96
5.04
4.98
5.07
5.02
5.08
4.85
4.9
4.97
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
206
207
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
5.14
5.12
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
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
250
251
252
253
254
255
256
257
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
5.02
5.05
4.88
5.08
4.98
5.02
4.99
5.02
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
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
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
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
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
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
1
Pass
Fail
Pass
Pass
Pass
Pass
Pass
Pass
2
Pass
Fail
Pass
Pass
Pass
Pass
Pass
Pass
3
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
4
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
5
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
6
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
7
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
8
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
9
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
10
Pass
Pass
Pass
Pass
Pass
Fail
Pass
Pass
11
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
12
Pass
Fail
Pass
Pass
Pass
Pass
Pass
Pass
13
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
14
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
15
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
16
Pass
Pass
Pass
Pass
Pass
Fail
Pass
Pass
17
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
18
Pass
Pass
Pass
Pass
Fail
Pass
Pass
Pass
19
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
20
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
21
Pass
Pass
Pass
Pass
Pass
Fail
Pass
Pass
22
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
23
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
24
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
25
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
26
Pass
Fail
Pass
Pass
Pass
Pass
Pass
Pass
27
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
28
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
29
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
30
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
31
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
32
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
33
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
34
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
35
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
36
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
37
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
38
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
39
40
41
42
43
44
45
46
47
48
49
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
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Pass
Fail
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
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
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
Fail
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
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
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
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
9
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
10
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
11
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
12
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
13
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
Fail
Pass
Pass
Pass
Pass
Pass
Pass
14
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
15
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
16
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
17
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
18
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
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
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
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
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
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
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
Fail
Pass
Pass
Pass
Pass
Fail
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
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
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
Fail
Pass
Pass
Fail
Pass
Pass
Pass
Pass
Pass
Pass
19
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
20
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
21
Pass
Fail
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
22
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
23
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
24
Pass
Pass
Fail
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
25
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
26
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
27
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
28
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
Pass
Pass
Fail
Pass
Fail
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
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
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
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
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
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
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
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
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
Employee Retention
YearsPLE YrsEducationCollege GPA Age GenderCollege Grad Local
10
18
3.01
33
F
Y
Y
10
16
2.78
25
M
Y
Y
10
18
3.15
26
M
Y
N
10
18
3.86
24
F
Y
Y
9.6
16
2.58
25
F
Y
Y
8.5
16
2.96
23
M
Y
Y
8.4
17
3.56
35
M
Y
Y
8.4
16
2.64
23
M
Y
Y
8.2
18
3.43
32
F
Y
Y
7.9
15
2.75
34
M
N
Y
7.6
13
2.95
28
M
N
Y
7.5
13
2.50
23
M
N
Y
7.5
16
2.86
24
M
Y
Y
7.2
15
2.38
23
F
N
Y
6.8
16
3.47
27
F
Y
Y
6.5
16
3.10
26
M
Y
Y
6.3
13
2.98
21
M
N
Y
6.2
16
2.71
23
M
Y
N
5.9
13
2.95
20
F
N
Y
5.8
18
3.36
25
M
Y
Y
5.4
16
2.75
24
M
Y
N
5.1
17
2.48
32
M
Y
N
4.8
14
2.76
28
M
N
Y
4.7
16
3.12
25
F
Y
N
4.5
13
2.96
23
M
N
Y
4.3
16
2.80
25
M
Y
N
4
17
3.57
24
M
Y
Y
3.9
16
3.00
26
F
Y
N
3.7
16
2.86
23
M
Y
N
3.7
15
3.19
24
M
N
N
3.7
16
3.50
23
F
Y
N
3.5
14
2.84
21
M
N
Y
3.4
16
3.13
24
M
Y
N
2.5
13
1.75
22
M
N
N
1.8
16
2.98
25
M
Y
N
1.5
15
2.13
22
M
N
N
0.9
16
2.79
23
F
Y
Y
0.8
18
3.15
26
M
Y
N
0.7
13
1.84
22
F
N
N
0.3
18
3.79
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
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
Singapore
Melbourne
$1.43
$1.70
Birmingham
Melbourne
$1.52
$2.06
Frankfurt
Melbourne
$1.73
$2.28
Mumbai
Melbourne
$1.38
$1.63
Kansas City
Melbourne
$1.72
$2.34
Auckland
Melbourne
$0.91
$1.17
Santiago
Singapore
Birmingham
Frankfurt
Mumbai
Kansas City
Auckland
Melbourne
London
London
London
London
London
London
$1.49
$1.88
$1.47
$1.37
$1.44
$1.49
$1.98
$1.80
$2.68
$1.77
$1.64
$1.82
$1.86
$2.60
Santiago
Singapore
Birmingham
Frankfurt
Mumbai
Kansas City
Auckland
Santiago
Singapore
Birmingham
Frankfurt
Mumbai
Kansas City
Auckland
Santiago
London
Caracas
Caracas
Caracas
Caracas
Caracas
Caracas
Caracas
Atlanta
Atlanta
Atlanta
Atlanta
Atlanta
Atlanta
Atlanta
$1.58
$1.50
$1.37
$1.59
$1.61
$1.54
$1.54
$1.00
$1.73
$1.02
$1.42
$1.57
$1.31
$1.74
$1.31
$2.14
$2.01
$1.86
$1.88
$2.08
$1.90
$1.98
$1.26
$2.35
$1.25
$1.70
$2.23
$1.82
$2.26
$1.76
Fixed Costs of Capacity Increase or New Construction
Current Plants
Kansas City
Kansas City
Santiago
Santiago
Additional CapacityCost
10000
$605,000.00
20000
$985,000.00
5000
$381,000.00
10000
$680,000.00
Proposed Locations Maximum capacity
Cost
Auckland
15,000
$917,000.00
Auckland
20,000
##########
Birmingham
15,000
$962,000.00
Birmingham
20,000
##########
Frankfurt
15,000
$874,000.00
Frankfurt
20,000
##########
Mumbai
15,000
$750,000.00
Mumbai
25,000
$959,000.00
Singapore
15,000
$839,000.00
Singapore
20,000
##########
Purchasing Survey
Delivery speed Price levelPrice flexibilityManufacturing imageOverall 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
4.9
5
2
5
3.1
3.4
5.8
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
0.9
2.3
1.3
2.6
2.5
1.9
3.9
0.2
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
9.6
9.3
8.6
6.5
9.4
10
5.6
8.8
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
4.5
4.7
3.7
4.6
4.5
5.6
4.5
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
3.4
3.6
3.1
2.4
3.7
2.6
3.6
3
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
2.5
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
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
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
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
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 imageProduct qualityUsage LevelSatisfaction LevelSize 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
1.3
2.5
1.7
1.4
3.2
2.3
2.4
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
4.5
6.2
3.7
8.5
6.3
3.8
9.1
6.7
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
58
53
48
38
54
55
43
57
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
6.7
5.9
4.8
3.2
6
4.9
4.7
4.9
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
0
0
0
1
0
0
1
0
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
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
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
43
51
36
34
60
49
39
43
36
31
25
60
38
42
33
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
1
1
0
1
0
0
0
0
1
0
1
0
1
1
0
Purchasing StructureIndustry Buying Type
0
1
1
1
0
1
1
1
2
1
1
1
0
1
3
1
1
2
0
1
1
1
0
2
0
1
3
1
0
2
0
0
1
0
1
2
1
0
1
0
1
1
0
0
3
0
0
3
1
1
2
0
0
2
0
1
3
0
0
3
0
0
2
0
0
1
1
0
3
1
0
1
0
0
2
0
1
3
1
0
1
0
1
3
0
1
3
1
0
2
1
0
1
1
0
3
0
0
3
1
0
1
1
0
1
1
1
1
1
1
2
0
1
3
1
1
1
1
1
1
1
1
1
0
0
0
1
0
0
1
0
0
0
1
1
1
0
1
1
0
0
1
0
0
0
1
1
0
0
1
0
1
1
0
0
0
1
0
0
0
1
0
0
1
1
1
1
1
0
0
1
0
1
1
1
1
0
1
0
1
0
1
0
0
1
1
1
0
1
1
1
0
0
0
0
1
1
1
0
1
0
1
0
1
1
0
0
1
0
0
0
3
3
2
1
3
3
2
3
3
2
2
2
1
1
2
2
3
3
2
3
3
3
2
1
2
3
2
3
2
2
3
3
3
1
2
2
3
1
3
3
2
1
1
2
1
1
1
1
0
1
0
1
1
0
1
0
1
1
0
1
0
0
1
0
1
0
1
0
1
1
1
0
0
0
1
2
1
1
3
2
2
2
1
1
1
3
1
1
1
CASE 2: PERFORMANCE LAWN EQUIPMENT
Part 1: Elizabeth Burke has recently joined the PLE management team to oversee production
operations. She has reviewed the types of data that the company collects and in the coming
week. She has asked you to do some preliminary analysis of the data for the company.
1. First, she would like you to edit the worksheets Dealer Satisfaction and End-User
Satisfaction to display the total number of responses to each level of the survey scale
across all regions for each year.
2. Second, she wants a count of the number of failures in the worksheet Mower Test.
3. Next, Elizabeth has provided you with prices for PLE products for the past five years.
Year
Mower Price
Tractor Price
2014
$150
$3,250
2015
$175
$3,400
2016
$180
$3,600
2017
$185
$3,700
2018
$190
$3,800
Create a new worksheet to computer gross revenues by month and region, as well as
worldwide totals, for each product using the data in Mower Unit Sales and Tractor Unit
Sales.
4. Finally, she wants to know the market share for each product and region by month based
on the PLE and industry sales data, and the average market share by region over the five
years.
Part 2: PLE originally produced lawn mowers, but a significant portion of sales volume over
recent years has come from the growing small-tractor market. As we noted in Part 1, PLE sells
their products worldwide, with sales regions including North America, South America, Europe,
and the Pacific Rim. Three years ago, a new region was opened to serve China, where a
booming market for small tractors has been established. PLE has always emphasized quality
and considers the quality it builds into its products as its primary selling point. In the past two
years, PLE has also emphasized the ease of use of their products.
Before digging into the details of operations, Elizabeth Burke wants to gain an overview
of PLE’s overall business performance and market position by examining the information
provided in the database for this company. Specifically, she is asking you to construct
appropriate charts for the data in the following worksheets in the Performance Lawn
Equipment Database and summarize your conclusions from analysis of these charts.
a. Dealer Satisfaction
b. End-User Satisfaction
c. Complaints
d.
e.
f.
g.
h.
Mower Unit Sales
Tractor Unit Sales
On-Time Delivery
Defects After Delivery
Response Time
Part 3: Propose a monthly dashboard of the dashboard of the most important business
information that Ms. Burke can use on a routine basis as data are updated. Create one using
the most recent data. Your dashboard should not consist of more than six to eight charts,
which should fit comfortably on one screen.
Write a formal report summarizing your results for three parts of this case.
