Open AccessA system for improving suppliers evaluation: the case of procurement in educational institution (Case study: Andalas University)
Author(s) -
Mohammad Magdi Farid,
Rika Ampuh Hadiguna,
Insannul Kamil
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/602/1/012037
Subject(s) - procurement , supplier evaluation , decision support system , computer science , profit (economics) , supplier relationship management , analytic hierarchy process , ranking (information retrieval) , quality (philosophy) , multiple criteria decision analysis , process management , operations research , business , knowledge management , supply chain management , supply chain , marketing , data mining , engineering , machine learning , philosophy , epistemology , economics , microeconomics
Supplier selection is one of the problems in both profit and non-profit organizations that need to be resolved efficiently. One of non-profit organizations is a college. Colleges aim to produce quality graduates. One factor influencing the quality of graduates is the availability of facilities and infrastructure to support the learning process. To obtain good quality facilities and infrastructure, a procurement process is needed by involving the supplier selection process. One way to get a good supplier is to use a Decision Support System (DSS) to help the supplier selection process efficiently. The design is done by integrating databases, mathematical models and information models that are packaged in a user interface (UI). Database design consists of a database of criteria, assessments, inventory data and supplier work lists. Design a mathematical model combines a Likert scale for determining criteria with the TOPSIS method for supplier ranking and Knowledge Management as additional support for supplier assessment. The results obtained are not only fixated on the supplier sorting process, but also display information on supplier data, job list and management of inventory items as supporting decision making and increase the effectiveness and efficiency of supplier selection processes into real time.