A model for selection and optimal allocation to suppliers under fuzzy conditions


Sherafati, Mahshid (2015) A model for selection and optimal allocation to suppliers under fuzzy conditions. Masters thesis, Multimedia University.

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In this research, a model for the selection of suppliers to achieve optimal order allocation under fuzzy conditions is studied. For this purpose, Delphi method, Fuzzy AHP and linear programming technique were used. In the first part, the library method was utilized to identify the criteria affecting supplier selection. In this regard, previous studies were scrutinized and the relevant criteria were extracted. In the second part, by using the Delphi method, the criteria recognized in the previous section were distributed among experts and were either approved or rejected. In this section, new criteria might be added to the library criteria. In the third part, the information necessary for the ranking of suppliers by directors will be gathered via a questionnaire, which will be designed based on fuzzy AHP method. Finally, in the fourth part, the data needed for the estimation of the linear model and for the optimized allocation of orders through the company’s database will be collected and presented. According to results obtained from the Delphi method, four criteria of cost, delay in delivery, quality, and technology have been selected in that order as the most important criteria to rank suppliers of Saipa Company. Based on the results gained from the fuzzy analytical hierarchy process method, the weights for supplier selection criteria were chosen as follows: Technology criterion 0.28, cost criterion 0.25, delay in delivery criterion 0.24, and quality criterion 0.23.

Item Type: Thesis (Masters)
Additional Information: Call No.: HD38.5 M34 2015
Subjects: H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management > HD38.5 Business logistics
Divisions: Faculty of Management (FOM) > MBA Programme
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 15 May 2015 09:43
Last Modified: 18 Jun 2015 08:45
URII: http://shdl.mmu.edu.my/id/eprint/6224


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