| dc.description.abstract | Many factors, including those that affect quantity and quality, must be considered when
selecting a supplier. The procedure of selecting suppliers is crucial to the establishment,
assessment, and growth of a company. Companies expect substantial benefits from their
supplier contracts with companies that provide high-value materials, timely deliveries, the
appropriate quantity, and exceptional quality. Optimizing competing goals like quality,
cost, and delivery time is at the heart of the multi-criteria decision-making process that is
supplier selection. In this paper, we will look at Fuzzy AHP, a form of the Analytic
Hierarchy Process, which may be used to select qualified suppliers more precisely
according to a defined set of main and supporting criteria. The calculated weights will
indicate the importance of each criterion, and the generated results will be the best
providers that meet all the firm's need.
Every supplier, as we realize, differs in terms of cost, availability, delivery time, and
product quality. Finding the ideal supplier is therefore a crucial step in managing the
business' production process. By creating multi-objective linear programming (MOLP),
the study's goal is to choose a supplier and assign orders to that source. Three goal
functions, including total cost, the number of defective products, and total delivery time,
will be minimized by the created MOLP model. The integration of Supplier selection &
Order allocation in a multi-period and multi-supplier setting is considered in a multiobjective linear programming model that is built and merged with fuzzy AHP results.
The proposed approach will be applied to the actual situation of SPAUTO.VN. The results
show that the created model is more effective at selecting suppliers and allocating orders
to them | en_US |
