Hi,
I just started a new job at a manufacturing company. The plant that I work at has 32 production units. Each unit is given a daily score on how well it performs. The data is extremely erratic. My boss asked me to analyze it and see if there is a trend to the data, so for example after 4 days of less than average is the 5th day average or above average? What is the probability of after 3 below average days that we have an average day? This will help us determine a schedule for cleaning, maintenance, etc. The best analogy I could use would be the stock market, after 3 down days what is the probability the 4th day will be up based on the data set.
Can someone help me with how to do this analysis? Much appreciated. I uploaded a set of fake data for an example.
I just started a new job at a manufacturing company. The plant that I work at has 32 production units. Each unit is given a daily score on how well it performs. The data is extremely erratic. My boss asked me to analyze it and see if there is a trend to the data, so for example after 4 days of less than average is the 5th day average or above average? What is the probability of after 3 below average days that we have an average day? This will help us determine a schedule for cleaning, maintenance, etc. The best analogy I could use would be the stock market, after 3 down days what is the probability the 4th day will be up based on the data set.
Can someone help me with how to do this analysis? Much appreciated. I uploaded a set of fake data for an example.
all_teams.xlsx | ||||
---|---|---|---|---|
A | B | |||
2 | Machine | Score | ||
3 | abl | 35 | ||
4 | abl | 35 | ||
5 | abl | 45 | ||
6 | abl | 45 | ||
7 | abl | 45 | ||
8 | abl | 5 | ||
9 | abl | 0 | ||
10 | abl | 20 | ||
11 | abl | 5 | ||
12 | abl | 40 | ||
13 | abl | 10 | ||
14 | abl | 45 | ||
15 | abl | 40 | ||
16 | abl | 10 | ||
17 | abl | 5 | ||
18 | abl | 50 | ||
19 | abl | 5 | ||
20 | abl | 10 | ||
21 | abl | 50 | ||
22 | abl | 10 | ||
23 | abl | 5 | ||
24 | czv | 15 | ||
25 | czv | 5 | ||
26 | czv | 45 | ||
27 | czv | 10 | ||
28 | czv | 15 | ||
29 | czv | 0 | ||
30 | czv | 10 | ||
31 | czv | 10 | ||
32 | czv | 0 | ||
33 | czv | 40 | ||
34 | czv | 25 | ||
35 | czv | 10 | ||
36 | czv | 40 | ||
37 | czv | 40 | ||
38 | czv | 10 | ||
39 | czv | 20 | ||
40 | czv | 10 | ||
41 | czv | 50 | ||
42 | czv | 5 | ||
43 | czv | 45 | ||
44 | czv | 15 | ||
45 | zxc | 5 | ||
46 | zxc | 35 | ||
47 | zxc | 35 | ||
48 | zxc | 40 | ||
49 | zxc | 0 | ||
50 | zxc | 45 | ||
51 | zxc | 40 | ||
52 | zxc | 10 | ||
53 | zxc | 0 | ||
54 | zxc | 5 | ||
55 | zxc | 10 | ||
56 | zxc | 0 | ||
57 | zxc | 20 | ||
58 | zxc | 5 | ||
59 | zxc | 10 | ||
60 | zxc | 5 | ||
61 | zxc | 40 | ||
62 | zxc | 10 | ||
63 | zxc | 10 | ||
64 | zxc | 5 | ||
65 | zxc | 5 | ||
Sheet2 |