• Journal of the Korea Safety Management & Science
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• v.8 no.4
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• pp.181-193
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• 2006

The purpose of this thesis addresses a development of an expert system to support a decision making of the vender selection. The researches related to the vender selection problems have been studied and they provide 23 criteria to select proper venders. In this thesis, 8 criteria have been used to construct a knowledge base of the expert system. The system in this thesis consists of 6 steps in its procedure. Step 1 decides a specification that satisfies customer's needs and Step 2 chooses a part supplied by a vender. The type of an outside order is decided in Step 3 and some venders satisfying the customer's needs are selected in Step 4. Some of the venders chosen from step 4 which do not satisfy the fatal cirteria(that is Quality, Delivery, Price) can be deleted in Step 5. In the last step, 8 cirteria is used to select 3 venders according to their ranking. Consequently, this program provides for a man, who does not have the experiances, an efficient way to select appropriate venders in the vender selection problems.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.991-994
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• 2007

Since the year of 2003, the overseas plant market has grown by an average of 6% per year. It is because of the increase of oil-money, economic growth of BRICs, and the result of heavy competition among the countries which demands a great amount of resources for the purpose of resource securing. Such a situation is expected to be continued for a while. The procurement is one of critical functions for successful completion of a plant project. For effective procurement, it is required to manage vendor's information efficiently. But most of the vendor management systems deal with simple general information and performance data about vendors. In this sense, this paper proposes a vendor management system which can be used within a decision-making system. The system uses existing DB and makes the close relationship with the vendors. This paper will also reduce risks and difficulties in the process of selecting the proper vendors and will increase efficiency of procurement process in electronic bidding between companies.