W4_ISHAQ_System_hosting
W4_ISHAQ_System_hosting
Problem Definition
We are working to procure a Market
Management System (MMS) for Oman electricity market. Once the development is
completed by the vendor, we will be looking for a place to host the system
hardware.
Development of Feasible Alternatives
There are three options for hosting the MMS:
1. The company premise data center
2. Renting a co-location service from a hosting company
3. Hosting the system in the cloud (e.g.: Google)
Development of the Outcome for Alternative
We are looking for an option that is cost
effective, available and legal. So, I
adopt these attributes as the outline to make our decision.
Selection of Criteria
Table 1 lists the comparison date for the
three alternatives.
Table 1. Data
Alternative
Analysis and Comparison of the
Alternative.
Using the compensatory approach, which consists
of two models: Non-Dimensional Scaling and Additive Weighting Technique, the
following results are calculated.
1. Non-Dimensional Scaling
The below
table shows the dimensionless values with a range from 0 to 1. Turning each
attribute into a Base of 1 or dimensionless value, the scoring 1 means the
highest/optimum value of attribute (preference decision). On the other hand,
the scoring 0 means the minimum value (avoided decision).
Table 2. Dimensionless
Scoring model
Table 3. Dimensionless
Relative Weighting
Using the quantitative comparison for each
attribute in table 2, the total score is calculated to represent the rank of an
alternative (table 3). Using the non-dimensional scaling, both hosting in the
company premise and renting co-location got the highest rank with a total score
2.
2. Additive Weighting Technique
Table 4 below, shows the calculation using the
additive weighting technique, where ranking the considered attributes by giving
higher rank to the preferred attribute. The totals show that renting
co-location for hosting the MMS hardware ranked the highest value as the best
option.
Table 4. Additive
Weighting Score
Selection of the Preferred
Alternative.
Although using the relative weighting shows
two alternatives can be considered, the additive weighting technique shows that
co-location renting is the best alternative to host the hardware for the Market
Management System.
Performance Monitoring and the Post Evaluation
of Result.
Monitoring the performance and support given
by the hosting company is essential for providing a good service. Also, other
attributes could be considered for the evaluation process.
References
1. Oman Data Park - Hosting, Colocation, Cloud Services, Managed
Services. (n.d.). Retrieved from https://omandatapark.com
2. Google Cloud Computing, Hosting Services & APIs | Google Cloud
Platform. (n.d.). Retrieved from http://cloud.google.com
3. Afshari, A., Mojahed, M., & Yusuff, R. M. (2010). Simple
additive weighting approach to personnel selection problem. International
Journal of Innovation, Management and Technology, 1(5), 511.
4.
GUILD OF PROJECT CONTROLS COMPENDIUM
and REFERENCE (CaR) | Project Controls - planning, scheduling, cost management
and forensic analysis (Planning Planet). (n.d.). Retrieved from http://www.planningplanet.com/guild/gpccar/managing-change-the-owners-perspective (accessed 20/21 November 2017)
5.
Yakowitz, D. S., Lane, L. J., &
Szidarovszky, F. (1993). Multi-attribute decision making: dominance with
respect to an importance order of the attributes. Applied Mathematics and
Computation, 54(2-3), 167-181.
AWESOME case study, Ishaq!!!! My only question or challenge to you is why didn't you include security as a consideration? Seems as though that would or should be a major attribute?
ReplyDeleteCarry on with this. Curious where you are going to take us with it next? Maybe consider doing a total life cycle cost analysis on the options to see if the FINANCIAL support or changes the MADM analysis outcome? https://archexamacademy.com/download/Building%20Design%20Construction%20Systems/Life-Cycle%20Cost%20Analysis.pdf or https://www.insight.com/content/dam/insight-web/en_US/article-images/whitepapers/Insight-whitepapers/pc-lifecycle-cost-management.pdf
BR,
Dr. PDG, Jakarta