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Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach

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  • Kulak, Osman
  • Kahraman, Cengiz

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  • Kulak, Osman & Kahraman, Cengiz, 2005. "Multi-attribute comparison of advanced manufacturing systems using fuzzy vs. crisp axiomatic design approach," International Journal of Production Economics, Elsevier, vol. 95(3), pages 415-424, March.
    • Handle: RePEc:eee:proeco:v:95:y:2005:i:3:p:415-424
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    References listed on IDEAS

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    1. Kakati, M., 1997. "Strategic evaluation of advanced manufacturing technology," International Journal of Production Economics, Elsevier, vol. 53(2), pages 141-156, November.
    2. Ertugrul Karsak, E. & Tolga, Ethem, 2001. "Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments," International Journal of Production Economics, Elsevier, vol. 69(1), pages 49-64, January.
    3. Kahraman, Cengiz & Tolga, Ethem & Ulukan, Ziya, 2000. "Justification of manufacturing technologies using fuzzy benefit/cost ratio analysis," International Journal of Production Economics, Elsevier, vol. 66(1), pages 45-52, June.
    4. Beskese, Ahmet & Kahraman, Cengiz & Irani, Zahir, 2004. "Quantification of flexibility in advanced manufacturing systems using fuzzy concept," International Journal of Production Economics, Elsevier, vol. 89(1), pages 45-56, May.
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    Cited by:

    1. Cliville, Vincent & Berrah, Lamia & Mauris, Gilles, 2007. "Quantitative expression and aggregation of performance measurements based on the MACBETH multi-criteria method," International Journal of Production Economics, Elsevier, vol. 105(1), pages 171-189, January.
    2. Wei Huang & Peiqi Hu & Fu-Sheng Tsai & Yinke Liu & Yu Huang, 2022. "Smart Sales Empower Small Farmers: An Integrated Matching Method between Suppliers and Consumers Based on the Information Axiom," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    3. Sushil, 2020. "Interpretive multi-criteria ranking of production systems with ordinal weights and transitive dominance relationships," Annals of Operations Research, Springer, vol. 290(1), pages 677-695, July.
    4. Bai, Chunguang & Sarkis, Joseph, 2017. "Improving green flexibility through advanced manufacturing technology investment: Modeling the decision process," International Journal of Production Economics, Elsevier, vol. 188(C), pages 86-104.
    5. Kahraman, Cengiz & Kaya, İhsan & Cebi, Selcuk, 2009. "A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process," Energy, Elsevier, vol. 34(10), pages 1603-1616.
    6. Vasant, Pandian M. & Barsoum, Nader N. & Bhattacharya, Arijit, 2008. "Possibilistic optimization in planning decision of construction industry," International Journal of Production Economics, Elsevier, vol. 111(2), pages 664-675, February.
    7. Lucian-Ionel Cioca & Radu-Eugen Breaz & Sever-Gabriel Racz, 2019. "Reducing the Risks during the Purchase of Five-Axis CNC Machining Centers Using AHP Method and Fuzzy Systems," Sustainability, MDPI, vol. 11(2), pages 1-23, January.
    8. Zhaoxia Guo & Haitao Liu & Dongqing Zhang & Jing Yang, 2017. "Green Supplier Evaluation and Selection in Apparel Manufacturing Using a Fuzzy Multi-Criteria Decision-Making Approach," Sustainability, MDPI, vol. 9(4), pages 1-13, April.
    9. Cebi, Selcuk & Ilbahar, Esra & Atasoy, Aylin, 2016. "A fuzzy information axiom based method to determine the optimal location for a biomass power plant: A case study in Aegean Region of Turkey," Energy, Elsevier, vol. 116(P1), pages 894-907.
    10. Süleyman Çakır, 2018. "An integrated approach to machine selection problem using fuzzy SMART-fuzzy weighted axiomatic design," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1433-1445, October.
    11. Wong, Bo K. & Lai, Vincent S., 2011. "A survey of the application of fuzzy set theory in production and operations management: 1998-2009," International Journal of Production Economics, Elsevier, vol. 129(1), pages 157-168, January.

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