Building a Proposed Model for Suppliers' Selection using Multi-Criteria Approach

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 960
Building A Proposed Model For Suppliers' Selection Using Multi-
Criteria Approach
Ms. Kalyani Kantilal Sarode1
1PG student, Department of Civil Engineering M.E. - Civil (Construction Management)
NDMVPS’s, KBTCOE, Nashik (MH), India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract—This study aimed to build a proposed
model for suppliers' selection using Multi-Criteria Decision
Making Approach (MCDMA): The Analytic Hierarchy
Process (AHP)" [4] [5] and to apply it in the public
shareholding construction companies in Nashik, based on
suppliers' competitive priorities "quality, cost, delivery,
and flexibility". The study also aimed to evaluate the
relative importance of suppliers selection core-criteria,
"quality, cost, delivery, and flexibility" from the perspective
of functional managers of the researched construction
companies. To gather the necessary data a random sample
of (50) functional managers have been selected to fill the
comparison forms, After analyzing data and applying, the
study revealed that which is the most important supplier’s
selection criterion among all competitive priorities, with a
relative index value , cost importance of suppliers'
selection, delivery and flexibility respectively. The study
revealed also that the use of AHP for suppliers' selection
process is highly recommended in the construction
manufacturing sector in particular, and other
manufacturing sectors. Due to the advantages of this
approach in solving complex multi-criteria problems.
Many items, these three performance areas would be
enough, however for critical items needing an in- depth
analysis of the supplier’s capabilities, a more detailed
supplier evaluation study is required. In this activity
material and their procurement is important parameter.
About 60-70% cost engaged in construction are for
material itself. Material procurement is prior important
step of purchase action. Wider range of supply activity
included in procurement process as compared to
purchasing action. Vendor is important aspect in
procurement process.
In this highly competitive environment, ‘Supplier’ is one of
the most important components of a supply chain. At
present most of the construction companies are randomly
selecting suppliers for the purchase of materials. It also
lacks on part of considering the relative importance of
criteria while making a selection of the best supplier. This
study is a supplier evaluation approach through the
Analytic Hierarchy Process. Such approach may support
supplier selection in the most scientific manner which
considers the relative importance of various criteria for
decision making. The primary criteria are cost/price,
quality and delivery, which are generally the most obvious
and most critical areas that affect the buyer. For many
items, these three performance areas would be enough,
however for critical items needing an in-depth analysis of
the supplier’s capabilities, a more detailed supplier
evaluation study is required Supplier Evaluation and
Management is a very strong concept in manufacturing
industry, but has to come a long way in the construction
Projects.
Keywords—MCDMA, AHP, Suppliers, Vendors,
Nashik.
1. INTRODUCTION
Decision making can be regarded as the cognitive
process resulting in the selection of a belief or a course
of action among several alternative possibilities. It is the
process of identifying and choosing alternatives based
on the values and preferences of decision maker. People
often find it hard to make decisions in a complex,
subjective situation with more than a few realistic
options. So what we need is a systematic and organized
way to evaluate our choices and figure out which one
offers the best solution to our problem. The Analytic
Hierarchy Process method is one of the best
methodologies based on analytic hierarchy process to
solve the decision making problems. It enables multiple
decision makers on evaluation and uses triangular fuzzy
scale. By considering the market opportunities in Nashik
city, the challenge is to know the answer of this question
from the customer’s point of view. Therefore
understanding of various factors that influence the buyer
behavior is the significant source to the promoters.
Suppliers have been acknowledged as the best intangible
assets of any business organization However, selecting
the right suppliers for a long term relationship is a
relevant procurement issue that demands judicious
attention. The supplier selection problem has become
one of the most important issues for establishing an
effective supply chain system. Indeed, supplier selection
and evaluation represents one of the significant roles of
purchasing and supply management functions. One of
the key elements essential to supply chain success is an
effective purchasing function. The purchasing function of
a construction firm is central to materials management
and especially includes the commitment of project funds
for construction materials. Purchasing within an
organization typically involves all activities associated

with the buying process. These activities include:
determining the need, selecting the supplier, arriving at a
proper price, specifying terms and conditions, issuing
the contract or order, and ensuring proper delivery. The
step involving supplier selection is one of the most
significant steps in the building construction process.
Past literature and anecdotal evidence suggest that the
main issue with materials purchasing is with supplier
selection in the building materials industry, which
depends on careful examination of supplier economics.
In projects, especially in India, it is considered as a part
of the unorganized sector. Its importance is not only in
aspects of logistics in projects but also holds an
important position in growth and survival of project
organization itself .The Supplier cull study in
Construction supply chain management is relatively
unexplored in Indian context. Much enlightened business
had commenced with this concept with the avail of
experts and consulting firms. However, expectedly
Indian enterprises had not taken this approach thus far.
This study would be a paramount approach towards
integrating vendors in the Construction supply chain
management and ameliorates its deliverables. Supplier
Evaluation and Management initiates them to adopt the
most efficient methods in order to ensure the smooth
flow of the execution of the Project, thereby avoiding
delay and cost overrun of projects. For achieving better
value for money careful detail investigation for supplier
evaluation in construction industry is necessary. Study
will ensure that customer will be more satisfied. Study
puts efforts in effectiveness in selection of vendors and
their evaluation).
Researchers agreed on the increasing importance of the
suppliers and sources of supply for organizations and
supply chains. Asamoah, et al (2012) attributed to that
procurement of goods and services are the most
expensive part, and it accounts for 70% of the total cost
of production process. This explain the importance of
strong supplier partnership between organization and
their suppliers, as it grants the organization a range of
benefits, on the top of them the ability of organization to
get the appropriate quality of inputs at a reasonable
price, with the right quantity, at the right time on the
right place. This makes it imperative for organization to
find an approach to evaluate those suppliers and select
the best of them to be their partners in the supply chain.
Glomohmad (2007) debated that the Analytical
Hierarchy Process (AHP) is one of the most important
techniques used in the process of making decisions of
evaluating and selecting suppliers, it provides a practical
frame work to solve a lot of problems, one of the
entrance of Multi Criteria Decision Making (MCDM),
standards that enables the decision maker to solve
complex problems by simplifying these in evaluation and
selection of suppliers from time to time and from
industry to another. There are a number of managerial
decisions that create and regulate the supply chain and
are embedded in the process for materials management.
The main question arising and is worth researching is
how can we develop a supplier management approach
that will be based on supplier’s environmental
performance in order to assist managers and decision
makers set and prioritize sustainability-related actions
with regard to their suppliers. This chapter provides a
more thorough description of the problem under study
followed by the conceptual and technical research design
of this research.
2. PROBLEM STATEMENT
In reality a lot of organizations are choosing suppliers
based on price only, the best supplier for those
organizations is the least expensive. Other organizations
are using additional criteria such as production capacity,
quality and reputation of supplier. After meeting
procurement managers of construction companies and
revising their purchase policies, the researcher noticed
that the subject of supplier selection is assigned to
special comities and commissions in these companies,
and that they use individual standards such as lowest
price, knowledge, and reputation in suppliers
prioritizing, which means that personal subjective
judgment still play a great role in determination of the
appropriate supplier, this presents the importance of
using objective standards and techniques to select best
suppliers. In line with the objective of this research in
trying to resolve this issue through building& applying a
scientific model for supplier selection.
3. SCOPE OF THE WORK
The scope of work is to provide an integrated approach,
particularly for organizations where the complexity of
the supply chain is high, as to how to prioritize and
customize their efforts and resources towards engaging
their suppliers in the improvement of their products.
4. OBJECTIVES
1. To explore & develop the factors that antecedents of
suppliers and sources of supply for organizations
and supply chains
2. To examine relationship between factors consider
for suppliers and sources of supply for organizations
and supply chains and customers buying attitudes in
construction industries.
3. A supplier selection by systematically analyze the
trade-off between conflicting criteria.

5. METHODOLOGY
A survey will be conducted to collect a data from
managers. To gather the required data to build the
proposed model for supplier selection, a simple random
sample of 50 functional managers, has been selected.
each manager was asked to fill complete set of forms
(each set include 15forms) scaled form of (1-9) to
determine the degree of importance of one element on
another element of the three comparison levels of the
hierarchy: core-criteria of competitive priorities, sub-
criteria of each priority, and alternative suppliers in
order to form the pair comparison of relative importance
matrix of all levels of pyramid.
6. A FUZZY NUMBER
A fuzzy number is a quantity whose value is imprecise,
rather than exact as is the case with "ordinary" (single-
valued) numbers. Any fuzzy number can be thought of as
a function whose domain is a specified set (usually the
set of real numbers, and whose range is the span of non-
negative real numbers between, and including, 0 and
1000. Each numerical value in the domain is assigned a
specific "grade of membership" where 0 represents the
smallest possible grade, and 1000 is the largest possible
grade. In many respects, fuzzy numbers depict the
physical world more realistically than single-valued
numbers. Suppose, for example, that you are driving
along a highway where the speed limit is 55 miles an
hour (mph). You try to hold your speed at exactly 55
mph, but your car lacks "cruise control," so your speed
varies from moment to moment. If you graph your
instantaneous speed over a period of several minutes
and then plot the result in rectangular coordinates, you
will get a function that looks like one of the curves
shown below. [19]
The red curve (top) represents a triangular fuzzy
number; the blue curve (middle) shows a trapezoidal
fuzzy number; the green curve (bottom) illustrates a
bell-shaped fuzzy number. These three functions, known
as membership functions, are all convex (the grade starts
at zero, rises to a maximum, and then declines to zero
again as the domain increases).
However, some fuzzy numbers have concave, irregular,
or even chaotic membership functions. There is no
restriction on the shape of the membership curve, as
long as each value in the domain corresponds to one and
only one grade in the range and the grade is never less
than 0 nor more than 1000.Fuzzy numbers are used in
statistics, computer programming, engineering
(especially communications), and experimental science.
Figure 1: The Criteria and Area Alternatives
Literature
review
Questionnaire
Design
Questionnaire Survey
Application of Fuzzy AHP
hp
Results and Discussions
Conclusion and Recommendation
Building a Proposed Model for Suppliers' Selection
Using Multi-criteria approach

The concept takes into account the fact that all
phenomena in the physical universe have a degree of
inherent uncertainty.
7. RESULT AND DISCUSSIONS
7.1 Building the Proposed Model for Supplier
Selection
Saaty
scale
Definition
Fuzzy
Triangular
Scale
1
Equally important
(Eq. Imp.)
(1, 1, 1)
3
Weakly important
(W. Imp.)
(2, 3, 4)
5
Fairly important (F.
Imp.)
(4, 5, 6)
7
Strongly important
(S. Imp.)
(6, 7, 8)
9
Absolutely
important (A. Imp.)
(9, 9, 9)
2 The intermittent
values between
two
adjacent scales
(1, 2, 3)
4 (3, 4, 5)
6 (5, 6, 7)
8 (7, 8, 9)
The study utilized a well-known global model for
supplier selection called analytical hierarchical process
that uses Multi Criteria Decision Making. Saaty (2012)
explained that the first step of structuring the general
model begin with the definition of the problem and
determination of the objective of using the process, the
second step is identifying the key-criteria and sub-
criteria used in the analytical process to achieve the
desired objective, and then to determine the list of
possible alternatives to achieve this objective see figure-
1[13]
7.2 Determining Weights of Main Criteria (Level
1)
Name of Supplier: Mr. Valmik Kunde
(Sample Calculation):
Table 1: Pair Wise Comparisons of Main Criteria
A.
Im
p.
F.
Im
p.
F.
Im
p.
W.
Im
p.
Crit
eri
a
Eq
.
Im
p.
Crit
eri
a
W.
Im
p.
F.
Im
p.
F.
Im
p.
A.
Im
p.
(9,
9,
9)
(6,
7,
8)
(4,
5,
6)
(2,
3,
4)
(1,
1,
1)
(2,
3,
4)
(4,
5,
6)
(6,
7,
8)
(9,
9,
9)
✔
Qu
alit
y
Cos
t
✔
Qu
alit
y
Del
ive
ry
✔
Qu
alit
y
Fle
xibi
lity
Cos
t
Del
ive
ry
✔
Cos
t
✔
Fle
xibi
lity
Del
ive
ry
✔
Fle
xibi
lity
7.3 Determining Weights of Main Criteria (Level
1)
Table 2: Comparison matrices for main criteria
Criteria’s Quality Cost Delivery Flexibility
Quality (1, 1, 1) (6, 7, 8) (6, 7, 8) (6, 7, 8)
Cost (1/8, 1/7, 1/6) (1, 1, 1)
(1/8, 1/7,
1/6 )
(1, 1, 1)
Delivery (1/8, 1/7, 1/6) (6, 7, 8) (1, 1, 1) (1, 1, 1)
Flexibility (1/8, 1/7, 1/6) (1, 1, 1) (1, 1, 1) (1, 1, 1)
Quality = (1x6x6x6)1/4; (1x7x7x7)1/4; (1x8x8x8)1/4
= 3.8337; 4.3035; 4.7568
Cost = (1/8x1x1/8x1)1/4; (1/7x1x1/7x1)1/4;
(1/6x1x1/6x1)1/4
= 0.3536; 0.3780; 0.4082
Delivery = (1/8x6x1x1)1/4; (1/7x7x1x1)1/4;
(1/6x8x1x1)1/4
= 0.9306; 1.0000; 1.0746
Flexibility = (1/8x1x1x1)1/4, (1/7x1x1x1)1/4,

(1/6x1x1x1)1/4
= 0.5946; 0.6148; 0.6389
Table 3: Geometric means of fuzzy comparison values
Criteria’s ri
Quality 3.8337 4.3035 4.7568
Cost 0.3536 0.3780 0.4082
Delivery 0.9306 1.0000 0.4082
Flexibility 0.5946 0.6148 0.6389
Total 5.7124 6.2963 6.8786
Reverse (power of -1) 0.1751 0.1588 0.1454
Increasing Order 0.1454 0.1588 0.1751
In the fifth step, the fuzzy weight of criterion is found by
using following formula,
w r r r r n
= lw, mw, uw
. Hence the relative fuzzy weights of each criterion are
given in Table 4.
Table 4: Relative fuzzy weights of each criterion
Criteria’s wi
Quality 0.5574 0.6834 0.8329
Cost 0.0514 0.0600 0.0715
Delivery 0.1353 0.1588 0.1882
Flexibility 0.0865 0.0976 0.1119
In the sixth step, the relative non-fuzzy weight of each
criterion (Mi) is calculated by taking the average of fuzzy
numbers for each criterion. In the seventh step, by using
non fuzzy Mi, the normalized weights of each criterion
are calculated and tabulated in Table 5.
Table 5: Averaged and normalized relative weights of
criteria
Criteria’s Mi Ni
Quality 0.6912 0.6833
Cost 0.0610 0.0603
Delivery 0.1608 0.1589
Flexibility 0.0987 0.0975
8. CONCLUSION
In this study Fuzzy Analytic Hierarchy Process Method is
applied to solve the problem of selecting the best
material supplier.
1. This methodology includes simple mathematical
calculations, and it yields triangular fuzzy numbers of
alternatives’ weights.
2. This proposed methodology can handle the problems
effectively and with efficiency. It is interesting to
observe that the result obtained under the Fuzzy
Analytic Hierarchy Process will help customer to
choose building in different location of the Nashik
city.
3. Depending on various criteria of selection is one of
the most important tasks for construction industries
point of view. Since most of these criteria conflict
each other, the alternative area should be inspected
effectively.
ACKNOWLEDGMENT
We wish to express our sincere thanks to the officials of
Harsh Construction Private Ltd. for providing the
valuable data and also for remaining help and guidance
thought out the project work. We also wish to express
our gratitude to all the experts for their valuable
guidance.
REFERENCES
[1] Alok Mishra, (2004 “A study of Customer
Satisfaction of Residential properties in selected
areas in Pune”, International Journal for
Administration in Management, Commerce and
Economics.
[2] Adam Borovicka (2014), Fuzzy weights estimation
method based on the linguistic expression of criteria
relevance, Ekonomická revue – Central European
Review of Economic Issues 17.
[3] Arikan, F., 0 3 “An interactive solution approach
for multiple objective supplier selection problems
with fuzzy parameters”, Journal of Intelligent
Manufacturing, DOI: 10.1007/s10845-013-0782-6.
[4] Buckley J. J 985 “Fuzzy hierarchical analysis”
Fuzzy Sets Systems, Vol.17, 233–247.
[5] Chang, D.-Y., 996 “Applications of the extent
analysis method on fuzzy AHP”, European Journal of
Operational Research, Vol. 95(3), 649–655.
[6] Chen, C.T., Lin, C.T., and Huang S.F., 006 “A Fuzzy
Approach for Supplier Evaluation and Selection in
Supply Chain Management”, International Journal of
Production Economics, Vol.102 (2), 289-301.

[7] Chi-Horng Liao, Ming-Lang Tseng (2009),
“Evaluation of worker productivity improvement
criteria using interpretive structural modeling and
Fuzzy Analytic Hierarchy Process”, WSEAS
Transactions on Business and Economics, Issue 8,
Volume6.
[8] Cheraghi, S. H., Dadashzadeh, M., & Subramanian, M.,
004 “Critical success factors for supplier
selection: An Update”, Journal of Applied Business
Research, Vol 20(2), 91–108.
[9] Cheng, C.H., 997 “Evaluating Naval Tactical
Missile System by Fuzzy AHP Based on the Grade
Value of Membership Function”, European Journal of
Operational Research Vol. 96(2), 343-350.
[10] International Journal of Contemporary Research
Vol. 4 No. 1; January. F. Tunc¸ Bozbura, Ahmet
Beskese 007 , “Prioritization of organizational
capital measurement indicators using fuzzy AHP”,
Internat. J. Approx. Reason. 44 124–147
[11] Jessica J. Fly, MCSM, Dennis C. Bausman, (2008)
“Customer Satisfaction Survey Best Practices”.
[12] Kilincci, O., &Onal, S. A., 0 “Fuzzy AHP
approach for supplier selection in a washing
machine company”, Expert Systems with
Applications, Vol. 38(8), 9656-9664
[13] Saaty, T.L., (1980) the Analytic Hierarchy
Process, McGraw-Hill, New York, USA.
[14] Sami Kärnä 0 0 “Analyzing customer
satisfaction and quality in construction the case of
public and private customers”.
[15] Ting-Yu Chen, Tai-Chun Ku (2008), Importance-
Assessing Method with Fuzzy Number-Valued Fuzzy
Measures and Discussions on TFNs and TRFNs,
International Journal of Fuzzy Systems, Vol. 10, No.
2.
[16] Van Laarhoven, P.J.M., and Pedrycz, W., (1983)
“A fuzzy extension of Saat’s priority Theory”, Fuzzy
Sets and Systems, Vol. 11(1-3), 199-227.
[17] Voordl et al 007 “Extensions of the Analytic
Hierarchy Process in Fuzzy Environment”, Fuzzy
Sets and System.
[18] Wang, J.W., Cheng, C.H., and Cheng, H.K., (2009)
“Fuzzy Hierarchical TOPSIS for Supplier Selection”,
Applied Soft Computing 9 (1), 377-386.
[19] Yahya, S. and Kingsman, B., 999 “Vendor
Rating for an Entrepreneur Development
Programme: A Case Study Using the Analytic
Hierarchy Process Method”, Journal of the
Operational Research Society Vol.50: 916-930.

Building a Proposed Model for Suppliers' Selection using Multi-Criteria Approach

More Related Content

What's hot (20)

Similar to Building a Proposed Model for Suppliers' Selection using Multi-Criteria Approach (20)

More from IRJET Journal (20)

Recently uploaded (20)

Building a Proposed Model for Suppliers' Selection using Multi-Criteria Approach