Justi"cation of manufacturing technologies using fuzzy bene"t/cost ratio analysis

نویسندگان

  • Cengiz Kahraman
  • Ethem Tolga
  • Ziya Ulukan
چکیده

The application of discounted cash #ow techniques for justifying manufacturing technologies is studied in many papers. State-price net present value and stochastic net present value are two examples of these applications. These applications are based on the data under certainty or risk. When we have vague data such as interest rate and cash #ow to apply discounted cash #ow techniques, the fuzzy set theory can be used to handle this vagueness. The fuzzy set theory has the capability of representing vague data and allows mathematical operators and programming to apply to the fuzzy domain. The theory is primarily concerned with quantifying the vagueness in human thoughts and perceptions. In this paper, assuming that we have vague data, the fuzzy bene"t}cost (B/C) ratio method is used to justify manufacturing technologies. After calculating the B/C ratio based on fuzzy equivalent uniform annual value, we compare two assembly manufacturing systems having di!erent life cycles. ( 2000 Elsevier Science B.V. All rights reserved.

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تاریخ انتشار 2000