| dc.description.abstract | In our study, we first concentrate on the characteristics of the supplier selection
problem using a fuzzy-based hybrid approach based on historical information provided
by the URC. This study utilizes three methods which include fuzzy TOPSIS,
Trapezoidal type-2 fuzzy AHP, and Goal programming. The thesis' approach considers
not only qualitative but also quantitative criteria, considering the specific requirements
such as limited capacity, lot size constraints, and quantity discounts, and finally, it not
only determines the appropriate supplier(s) to work with but also appropriately
allocates orders. We also make several conclusions for the study by presenting different
sensitivity analysis processes with different changes in the model’s parameters and
different scenarios to give comprehensive views for many situations which can happen
in the real-world, discussing the findings, and proposing a solution to the URC.
Computational results illustrate that our approach is capable of finding a tradeoff
between competing criteria and allocating an order for each item with an appropriate
amount that satisfies all constraints and meets the company’s requirements. | en_US |
