Analysing Price, Quality and Lead Time Decisions with the Hybrid Solution Method of Fuzzy Logic and Genetic Algorithm

نویسندگان

  • amin mahmoudi Department of Industrial and mechanical Engineering, Islamic Azad University, Qazvin branch, Qazvin, Iran
  • hassan shavandi Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran
  • khashayar nouhi Department of Industrial and mechanical Engineering, Islamic Azad University, Qazvin branch, Qazvin,
چکیده مقاله:

In this paper, the problem of determining the quality level, lead time for order delivery and price of a product produced by a manufacturer is considered. In this problem the demand for the product is influenced by all three decision variables: price, lead time and quality level. To formulate the demand function, a fuzzy rule base that estimates the demand value based on the three decision variables is developed. To doso, the linguistic knowledge of experts in the form of if-then rules is used to establish the fuzzy system. Moreover, in order to solve the problem, a genetic algorithm integrating the fuzzy rule base is proposed. Finally, to support the validity of the proposed solution, a numerical study is provided.

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analysing price, quality and lead time decisions with the hybrid solution method of fuzzy logic and genetic algorithm

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عنوان ژورنال

دوره 5  شماره 10

صفحات  1- 9

تاریخ انتشار 2012-03-15

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