best laptop model is chosen from 6 available models in the market by the applications of hybrid MCDM methodologies i.e. AHP-TOPSIS

1. SELECTION OF BEST LAPTOPAND DESKTOP MODEL BY
APPLYING HYBRID MCDM (AHP-TOPSIS) METHOD
SHANKHA SHUBHRA GOSWAMI
PRODUCTION TECHNOLOGYAND MANAGEMENT
2ND YEAR M.TECH STUDENT
JALPAIGURI GOVERNMENT ENGINEERING COLLEGE
ROLL NO-17101103089
UNDER THE SUPERVISION OF
DR. SOUPAYAN MITRA
ASSOCIATE PROFFESOR
JALPAIGURI GOVERNMENT ENGINEERING COLLEGE

2. WHAT IS MCDM PROCESS?
Multiple-criteria decision-making (MCDM) or multiple-criteria
decision analysis (MCDA) is a sub-discipline of operations research
that explicitly evaluates multiple conflicting criteria in decision making
(both in daily life and in settings such as business, government and
medicine). Conflicting criteria are typical in evaluating options: costor
price is usually one of the main criteria, and some measure of quality is
typically another criterion, easily in conflict with the cost.
In recent years various MCDM techniques have been suggested to do
optimization. Among many multi-criteria techniques AHP, TOPSIS,
SAW, SMART, ELECTRE are the most commonly used methods.

3. Applicable Areas Of MCDM Methods
Manufacturing industry-Selection of Lathe, Best manufacturing process for a given product, best process
planning, Project Selection etc.
Shipping Industry - Crane Selection, Best transportation selection etc
Electronics Industry- Selection of best refrigerator, Washing Machine, Mobile etc
Telecommunications Industry–Selection of best network, Selection of best location for mounting tower.
Automobile industry- Four- wheeler and Two- Wheeler Selection, Selection for Two-Stroke Petrol Engines etc.
Economic Sector – Rural development decision making selection, Resource Planning selection etc.
Strategic decision making sector - Risk management decision making selection, Maintenance strategy selection
etc.

4. Objectives Of my research work
In my present analysis, hybrid MCDM process (AHP-TOPSIS) is applied to
select the best laptop and desktop among a common group of six laptop and five
desktop models available in the market.
The laptop and desktop are having different criteria like processor, hard disk
capacity, RAM, screen size etc. and each criteria also have different sub-criteria
such as hard disk can be available in different capacities like 512gb, 1tb, 2tb etc.
The relative preferences among different criteria and sub-criteria are obtained
by actual market survey among laptop users. The choice selection and priority
evaluation are validated by consistency checking.
The initial ranking of the models is done by the AHP analysis and the final
ranking is done by the AHP-TOPSIS analysis. At the end both the ranking is
compared graphically in both the cases.

5. SO FAR I HAVE PROGRESSED
 I have made a market survey of about 60 people to know their views which of
the laptop specifications matters them the most. Which alternatives are mainly
preferred by the customers.
According to the customers views the qualitative nature of the product is
converted to quantitative value according to the scale.
So far to select the best model AHP is applied initially then for further
modification TOPSIS is implemented along with AHP and a final ranking of the
model is made.
At last both the results from AHP and AHP-TOPSIS is compared to sort out the
differences between them.

7. What is AHP and TOPSIS?
AHP is a Multi-Criteria Decision Making Tool, initially put forward by
Mathematician Thomas L. Satty in 1970.
AHP helps decision makers to select the most suitable product, process or
strategy and to set priorities among different available alternatives with varying
degree of choices or, preferences.
The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)
is a multi-criteria decision anlysis method, which was originally developed by
Ching-Lai Hwang and Yoon in 1981 with further developments by Yoon in
1987, and Hwang, Lai and Liu in 1993.
TOPSIS is based on the concept that the chosen alternative should have the
shortest geometric distance from the positive ideal solution (PIS) and the longest
geometric distance from the negative ideal solution (NIS).

8. Criteria and sub-criteria of laptop Criteria and sub-criteria of desktop
1. PROCESSOR (I3, I5, I7) 1. PROCESSOR (I3, I5, I7)
2. HARD DISK CAPACITY (512GB, 1TB, 2TB) 2. HARD DISK CAPACITY (512GB, 1TB, 2TB)
3. RAM(4GB, 8GB, 16GB) 3. RAM (4GB, 8GB, 16GB)
4. OPERATING SYSTEM (DOS, LINUX, WINDOWS) 4. SCREEN SIZE (15.6, 18.5, 21.5, 23.8)
5. SCREEN SIZE (14INCH, 15.6INCH, 17.3INCH) 5. BRAND (HP, DELL, SAMSUNG, AOC, BenQ)
6. BRAND (HP, LENOVO, DELL, ACER, ASUS)
7. COLOR (SILVER, GOLD, BLACK)
PAIR-WISE COMPARISON OF THE MAIN CRITERIA (STEP 1)

9. WEIGHTAGE CALCULATION OF THE PAIR-WISE COMPARISON MATRIX (STEP 2)
CALCULATION OF CONSISTENCY FOR THE MAIN CRITERIA (STEP 3)

10. CONSISTENCY CHECK (STEP 4)
Randomly Generated Consistency Index (RI) value according to the order of the matrix n

11. SUMMARY OF ALL THE WEIGHTAGES OF CRITERIAAND SUB-CRITERIA
OVERALL PRIORITY OF THE AVAILABLE LAPTOP MODELS

12. ELEMENTS OF THE DECISION MATRIX (STEP 1)

13. NORMALISED VALUES OF THE DECISION MATRIX (STEP 2)
WEIGHTED VALUES OF THE DECISION MATRIX (STEP 3)

14. DETERMINING POSITIVE IDEAL SOLUTION (STEP 4)

15. DETERMINING NEGATIVE IDEAL SOLUTION (STEP 5)

16. RELATIVE CLOSENESS VALUES

17. GRAPHICAL REPRESENTATION

18. Selection of desktop by applying AHP
Selection of desktop by applying AHP-TOPSIS

19. CONCLUSION
From this analysis we can conclude that the hybrid MCDM process i.e. AHP-TOPSIS gives
the best outcome results than AHP. Initially the best model is chosen and initial ranking is
done by applying AHP but further, the analysis is modified by implementing the TOPSIS to
the above method and final ranking is made. In both the cases the best preferable model
results remains the same but there is a slight change in ranking although.
FUTURE SCOPE- The same anlysis can be carried out by applying other MCDM methods
such as SAW, ELECTRE, AHP-FUZZY, SMART etc. I would like to implement ELECTRE
and AHP-FUZZY along with this analysis for further modification in my future thesis.

20. REFERENCES
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International Journal of Emerging Technologies in Engineering Research (IJETER) Volume 5, Issue 12,
December (2017). Soupayan Mitra, Sougata Kundu.
2. Application Of TOPSIS For Best Domestic Refrigerator Selection.
[ VOLUME 5 I ISSUE 3 I JULY– SEPT 2018] E ISSN 2348 –1269, PRINT ISSN 2349-5138. Soupayan
Mitra & Sougata Kundu.
3. Saaty TL, How to make a decision: the analytic hierarchy process, European Journal of Operation
Research, 48 (1):9–26, 1990.
4. An Analysis of Multi-Criteria Decision Making Methods.
International Journal of Operations Research Vol. 10, No. 2, (2013). Mark Velasquez and Patrick T. Hester
5. Saaty, T. L., The Analytic Hierarchy Process. New York: McGraw-Hill, (1980).
6. Hwang, C.L., & Yoon, K. Multiple attributes decision making methods and applications. Berlin: Springer,
(1981).