Descripción: Una revisión de sus principios y su puesta en práctica
Full description
pkk5_services.docx
Full description
Publication Services
Eminent R&D intellect also offers Research Proposal Publication Services which includes
CDES is specialized in producing Professional3D architectural Walkthrough videos that can realistically present the entire structure
BAZE DE DATE AVANSATE - SQL SERVER 2008
Sample Proforma of Marketing Plan of Service CompanyFull description
Una breve informacion acerca de las empresas de servicios petroleros de perforacion en BoliviaDescripción completa
Come creare Web Services con Eclipse, Axis2 e TomcatFull description
This is good for MBA students specially for finance students Will be helpful in their specialized subject in semester 3rd
solution Manual
LTE planningDescription complète
1.
[BPS ASSIGNMENT SOLUTION] Submitted by: Ravi Kumar(2012238) Ritika Gupta(2012244) Rishabh Mathur(2012242) S.Preet Karan Bhatia(2012250) Riya Prasad(2012246)
2. Column1
Data Engineering
Data Analysis
Proposal Support
Pricing
New Sale
24
24
44
8
Std. Dev 14.7 4
Renewal
8
12
22
4
7.72
11.5
Expansion
22
16
29
6
9.74
18.25
Pilot
20
10
12
6
5.89
12
Std. Dev.
7.18
6.19
13.45
1.63
Mean
18.5
15.5
26.75
6
Mean 25
16.6875
The above table shows that the average lead time for New Sale, Renewal, Expansion, Pilot are 25, 11.5, 18.25 and 12 respectively. The average turnaround time is 16.6875 days.
3. The difference is because in turn around time the average of all the product in that particular process step is considered i.e. ((24+8+22+20)/4=18.5). Similarly the average of Data Analysis for all product and so on and then we calculate the average of the entire process flow i.e. ((18.5+15.5+26.75+6)/4=16.68). Whereas in lead time the average of a each product through all the four process step is calculated i.e. ((24+24+44+8)/4=25).
4. The problems that can be caused due to high lead times is as following: a. The waiting time will increase. b. Also the turnaround time will increase. c. Since waiting time and turn around time is increased the service will not be responsive to customer.
5. The risk level is defined according to the utilization capacity which is as following: a. Low Risk: < 70% b. Medium Risk: >70% and <85% c. High Risk: >85% and <100% d. Over Capacity : >100%
Through the above table we can clearly see that all the sector is having high risk in different quarter. Like Retail & others in 1st quarter, Government in 2nd Quarter and so on. So this variability is seasonal. So I personally recommend the hiring of one more member in proposal support and the cross training of two members in proposal support. Now if we add one more member and cross train two members then we may bring this over utilization under control. Which is shown in below diagram: Column1 Energy Government Manufacturing Retail & Other
1st Quarter 84.85 54.55 55.27 70.91
2nd Quarter 67.27 70.3 65.45 83.64
3rd Quarter 75.15 76.36 65.45 58.18
4th Quarter 77.58 65.45 86.23 58.18
Because of this the utilization came under control which earlier was overshooting. Also why we have selected the proposal support team for this cross training and hiring because there is the highest variability found in proposal support as the standard deviation is high compared to others , which is as shown below:
