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Supplier Evaluation in Terms of Risk Using Fuzzy Logic
Švach, Šimon ; Podešva, Lukáš (referee) ; Janková, Zuzana (advisor)
This thesis focuses on the evaluation of supplier risk using fuzzy logic-based models. Two models for supplier risk assessment have been developed in MS Excel and MATLAB software, which serve as a qualified basis for managerial decisions on supplier selection. Specific case studies were developed from the perspective of Hydraulics Ltd., a company that requires manufacturing services in the field of industrial machining and hydraulic systems. Based on the models, one or more least risky suppliers are selected, and measures are proposed to reduce supplier risk.
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Use of Fuzzy Logic for Supplier Risk Assessment
Kvasnička, Jan ; Podešva, Lukáš (referee) ; Janková, Zuzana (advisor)
This master ’s thesis deals with the assesment of supplier risk for company TIPO Litomyšl using fuzzy logic. The main part deals with the creation of decision models using MS Excel and MATLAB program environment. Based on the percentage assessment, individual suppliers are divided into four groups, which express the degree of supplier risk. In the last part the results of both models are compared and the best result is determined using the arithmetic mean. At the end, a measure/recommendation is created for each group on how to work with the resulting risk or how to minimize or eliminate the results.
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Supplier evaluation in terms of risk using fuzzy logic
Marcinov, David ; Lána,, Radim (referee) ; Janková, Zuzana (advisor)
The master’s thesis deals with the evaluation of supplier risk of an unnamed company XYZ. The evaluation is done using fuzzy logic theory, which is applied in the decision model designed in MS Excel and MATLAB. Suppliers are divided into four groups with different degrees of significance based on point and percentage results. Groups get recommendations for future cooperation, eventual suggestions for procurations, which can lead to minimization of risks and more accurate fulfillment of requirements. The company XYZ need these requirements from its suppliers. Comparison of results from two different software is part of this thesis too.
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The Evaluation of Risk of Suppliers
Peřinka, Zdeněk ; Doskočil, Radek (referee) ; Dostál, Petr (advisor)
In the Master’s thesis I am deal with the proposal of sophisticated method for suppliers rating. The thesis analyses the supply environment of business company and characterizes the problems related to suppliers rating and choosing. The object of my Master’s thesis is the elaboration of the models for suppliers rating on the basis of fuzzy logic. These models should successfully solve the questions of suppliers rating as suitable method for minimizing of risk of suppliers.
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Supplier evaluation in terms of risk using fuzzy logic
Marcinov, David ; Lána,, Radim (referee) ; Janková, Zuzana (advisor)
The master’s thesis deals with the evaluation of supplier risk of an unnamed company XYZ. The evaluation is done using fuzzy logic theory, which is applied in the decision model designed in MS Excel and MATLAB. Suppliers are divided into four groups with different degrees of significance based on point and percentage results. Groups get recommendations for future cooperation, eventual suggestions for procurations, which can lead to minimization of risks and more accurate fulfillment of requirements. The company XYZ need these requirements from its suppliers. Comparison of results from two different software is part of this thesis too.
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The Evaluation of Risk of Suppliers
Peřinka, Zdeněk ; Doskočil, Radek (referee) ; Dostál, Petr (advisor)
In the Master’s thesis I am deal with the proposal of sophisticated method for suppliers rating. The thesis analyses the supply environment of business company and characterizes the problems related to suppliers rating and choosing. The object of my Master’s thesis is the elaboration of the models for suppliers rating on the basis of fuzzy logic. These models should successfully solve the questions of suppliers rating as suitable method for minimizing of risk of suppliers.
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