M. AWAD, T. AOUAM
The same argument applies if the majority of applications have been rejected like the case in
the Computer courses for IE students, the assumption is that all of the students should be
rejected, and the inconsistency rate can be estimated as:
Table 3: IE Transfer courses
Course
Arabic
ETEC
Chemistry
ELEME
Computer
MTRX
ENGL
MEIM
WORK
MATH
Number Of
application
7
9
10
7
20
10
8
9
4
20
No. of
Approvals
5
5
7
4
9
6
3
6
2
10
No. of
Reject
2
4
3
3
11
4
5
3
2
10
Inconsistency
Rate %
28.5%
44.4%
30/5
42.28%
45%
40%
37.5%
33.3%
50%
50%
Table 4: BA transfer courses
Course
BUSI1250
BUSI1150
ITDP104
PPDV104
BUSI1250
BUSI1260
ARAM100
Number Of
application
4
5
5
5
4
4
3
No. of
Approvals
3
4
2
1
3
1
1
No. of
Reject
1
1
3
4
1
3
2
Inconsistency
Rate %
25%
20%
40%
20%
25%
25%
33.3%
The inconsistency rates reported in Table 3 and 4 clearly confirm the issue in both
departments.
Coupled with students’ dissatisfaction of transfer inconsistencies, students also complained
about long delays in processing the transfer application. To confirm student complaints, a
random sample of 35 applications from IE department were reviewed along with 28 random
applications from BA department and processing time was recorded. Figure 3 summarizes IE
transfer service process capability analysis while figure 4 summarizes the results for BA
department. A Weibull distribution was used to best fit the data based on Anderson Darling
coefficient. In the case of normal data set, a process capability index is defined as:
(2)
Where LSL and USL are the lower and upper specification limits respectively, µ: data set
mean and � is the standard deviation of the data set. As far as processing time, it is an upper
bounded process where LSL = 0, and USL= 7 days. The seven days target was selected by
top management as a reasonable time for completing an application thoroughly. As a general
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