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        검색결과 28

        22.
        2009.09 KCI 등재 구독 인증기관 무료, 개인회원 유료
        The supplier selection problem is perhaps the most important component of the purchasing function. Some of the common and influential criteria in the selection of a supplier include quality, price, delivery, and service. These evaluation criteria often co
        5,100원
        23.
        2008.12 KCI 등재 구독 인증기관 무료, 개인회원 유료
        In manufacturing companies, engineering information is a central data which defines a product to be produced. This is changed by various factors such as changes of product configuration, changes of drawings information of a technology's licensor, etc, and
        4,500원
        24.
        2007.12 KCI 등재 구독 인증기관 무료, 개인회원 유료
          Nowadays, customer-oriented manufacturing enterprises such as airplane, ship, ship engine, etc are knowledge-intensive and higher added value industries. In these companies, to quickly respond customer’s order, a quotation management is a very important
        4,600원
        25.
        2005.12 KCI 등재 구독 인증기관 무료, 개인회원 유료
        This paper focuses on a BOM(Bill of Materials) management problem for a small and medium manufacturing company that produce automobile parts. Automobile part's manufacturers produce various products due to various automobile characteristics such as types,
        4,500원
        26.
        2003.06 KCI 등재 구독 인증기관 무료, 개인회원 유료
        This paper proposes a heuristic scheduling algorithm to satisfy the customer''s due date in the production process under make to order cnvironment. The goal is to achicve the machine scheduling in the transformer winding process, in which consists of para
        4,000원
        27.
        2003.05 구독 인증기관 무료, 개인회원 유료
        We study data mining technique in an electronic commerce. Customers travel web pages in an shopping mall and they sometimes purchase products. It is important for a web master in a shopping mall to know customer's purchasing patterns. We discover both association rules among customer's purchasing products and customer's traversal paths. We propose three phase mining technique to explore it. In the first phase, it find large items from sales database. In the second phase, it add to traversal paths. In the third phase, it discover associations rules from large items.
        4,000원
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