The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 54-183
Full Name: Che-Chern Lin
Position: Professor
Age: ON
Sex: Male
Address: 62, Shenjhong Rd., Yanchao District, Kaohsiung City, Taiwan
Country: TAIWAN
Tel: 7172930 ext. 8000
Tel prefix: +886+7
Fax: 6051006
E-mail address: cclin@nknucc.nknu.edu.tw
Other E-mails:
Title of the Paper: Design and Implementation of Fuzzy-expert-based Package to Determine Organizations¡¦ Governance Controllability in Supply Chain Management Using Java
Authors as they appear in the Paper: Yu-Chuan Lin, Che-Chern Lin, Chien-Chung Lin
Email addresses of all the authors: yclinsun@gmail.com, cclin@nknucc.nknu.edu.tw, gendion.lin@gmail.com
Number of paper pages: 10
Abstract: Transaction cost theory has been used to explain the governance of the organization supply chain for decades. However it can not be used to explain the governance change of the organization supply chain in Taiwan¡¦s hi-tech industry. Based on contingency theory, a precious study then adopted two factors to explain the governance changes between upstream and upstream players in a supply chain. The two factors proposed in the study are relative profitability and technology complexity. The previous used a binary value (either 1 or 0) to describe the factors. It however can not describe the gradual changing value between 0 and 1, e.g., 0.12, 0.23, 0.85, etc. To overcome this problem, this study uses fuzzy logic to deal with these gradual change values and proposed a fuzzy-inference-based expert system to determine the governance controllability among the organizations in a supply chain. In the proposed fuzzy expert system, the input fuzzy variables are relative profit!
ability and technology complexity. The output fuzzy variable is governance controllability. Nine fuzzy rules are used in the fuzzy expert system. We use Java programming language to establish a computer package for the proposed fuzzy expert system. The Unified Modeling Language (UML) is used as a system analysis and design tool for the proposed system. Three UML diagrams are used in this study including a use case diagram, a class diagram, and a sequence diagram. We also conducted 20 simulation cases to validate the proposed system and discuss the simulation results. This study is an inter-discipline study covering artificial intelligence method (fuzzy expert system) and management issue. The computer package used in this study can be easily reused to build other fuzzy expert applications in other areas.
Keywords: Governance mode, Supply chain, Contingency theory, Fuzzy expert system, Fuzzy logic, UML
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How Did you learn about congress: Supply chain management, , Fuzzy expert system, Fuzzy logic, UML
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