Fuzzy dynamic hybrid MCDM method for supplier evaluation and selection / Adeleh Asemi Zavareh
In Supply Chain Management (SCM), it is important to have good purchasing strategies to ensure optimal cost and quality of product. Supplier management is part of decision making (DM) in the purchasing process. Supplier management involves the evaluation and selection of suppliers. An accurate ev...
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| Format: | Thesis |
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2014
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| Online Access: | http://studentsrepo.um.edu.my/4652/ http://studentsrepo.um.edu.my/4652/1/Adeleh_PhD_thesis.pdf |
| Summary: | In Supply Chain Management (SCM), it is important to have good purchasing strategies
to ensure optimal cost and quality of product. Supplier management is part of decision
making (DM) in the purchasing process. Supplier management involves the evaluation
and selection of suppliers. An accurate evaluation of suppliers can reduce the costs
and improve the quality. Supplier management is complex due to multiple criteria, dynamic
environment and uncertainty. Various studies have applied Multi Criteria Decision
Making (MCDM) models to solve supplier management problem. However, current supplier
management methods have limitations in specific situations. They do not consider
the environment changes that can affect the process of evaluation and ranking.
Various intelligent MCDM methods are analyzed to find suitable methods to address
supplier selection problems. The DM environment with four elements (Re-ranking,
homogeny, Inconsistency, population) is defined. A Fuzzy Dynamic Hybrid MCDM
(FDHM) method is proposed and developed for the evaluation, ranking and selection
of suppliers. The method employs Fuzzy Analytic Hierarchy Process (FAHP) for weighting
of criteria. A Fuzzy Inference System (FIS) is developed to determine the impact of
FAHP method and Fuzzy Technique Of Preferences Similarity to Ideal Solution (FTOPSIS).
The method for evaluation of suppliers is based on impact factors.
Experiments for supplier management in Mobarakeh steel company are carried out
for different DM environments. FDHM method is evaluated by the satisfactorily and
efficiency factors. The ability of methods to produce a ranking in high correlation coefficient
with experts’ judgment, implies that the experts are satisfied with the performance
of FDHM. In each experiment, the efficiency of FDHM with other fuzzy hybrid SES decision
making methods in terms of accuracy and complexity is compared. The accuracy
is the first priority to determine the efficiency of FDHM in supplier management. The
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complexity is calculated by the number of comparisons. In each experiment we calculate
the complexity of methods in same conditions. The result shows that FDHM satisfies the
expectation of the experts. |
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