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Using Macbeth Method for Technology Selection in Production Environment

Received: 27 December 2016    Accepted: 23 January 2017    Published: 20 February 2017
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Abstract

Technology selection has a very crucial role to any company aiming for competitive advantage in the globalized world. In a competitive environment, firms try to meet customer demand and their increasing quality expectations, at the same time finding ways to decrease costs using factors such as flexibility, quality and innovativeness. Technology selection and evaluation problem have many criteria (both subjective and objective factors) that conflict with each other. To overcome this problem multi criteria decision making methods are developed. In this study MACBETH method is used to select and evaluate technology alternatives. Decision makers’ opinions are evaluated to rank the alternatives.

Published in American Journal of Data Mining and Knowledge Discovery (Volume 2, Issue 1)
DOI 10.11648/j.ajdmkd.20170201.15
Page(s) 37-41
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Technology Selection, Multi Criteria Decision Making, Macbeth Method

References
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[2] C. Kahraman, S. C. Onar and B. Oztaysi. “Fuzzy Multicriteria Decision-Making: A Literature Review”, International Journal of Computational Intelligence Systems, 8(4), 637-666, 2015.
[3] M. E. Porter. “Technology and competitive advantage”, Journal of Business Strategy, 5(3), 60-78, 1985.
[4] R. Masocha, N. Chiliya and S. Zindiye. “The impact of technology on competitive marketing by banks: A case study approach”, African Journal of Marketing Management, 3(3), 68-77, 2011.
[5] D. R. Kalbande and G. T. Thampi. “Multi-attribute and multi-criteria decision making model for technology selection using fuzzy logic”, International Journal of Computing Science and Communication Technologies 2(1), 377-383, 2009.
[6] C. A. Bana e Costa and M. P. Chagas. “A career choice problem: An example of how to use MACBETH to build a quantitative value model based on qualitative value judgments”, European Journal of Operational Research, 153, 323-331, 2004.
[7] P. Karande and S. Chakraborty. “Using MACBETH method for supplier selection in manufacturing environment”, International Journal of Industrial Engineering Computations, 4, 259-272, 2013.
[8] D. Dhouib. “An extension of MACBETH method for a fuzzy environment to analyze alternatives in reverse logistics for automobile tire wastes”, Omega, 42, 25-32, 2014.
[9] P. Karande and S. Chakraborty. “Evaluation and selection of flexible manufacturing systems using MACBETH method”, International Journal of Services and Operations Management, 16(1), 123-144, 2013.
[10] V. Cliville, L. Berrah and G. Mauris. “Quantitative expression and aggregation of performance measurements based on the MACBETH multi-criteria method”, International Journal of Production Economics, 105(1), 171-189, 2007.
[11] T. Ertay, C. Kahraman and İ. Kaya. “Evaluation of renewable energy alternatives using MACBETH and fuzzy AHP multicriteria methods: the case of Turkey”, Technological and Economic Development of Economy, 19(1), 38-62, 2013.
[12] C. Hurson, K. Mastorakis and Y. Siskos. “Application of a synergy of MACBETH and MAUT multicriteria methods to portfolio selection in Athens stock exchange”, International Journal of Multicriteria Decision Making, 2(2), 113-127, 2012.
[13] N. Kundakçı abd A. T. Işık. “Integration of MACBETH and COPRAS methods to select air compressor for a textile company”, Decision Science Letters, 5(3), 381-394, 2016.
[14] F. Montignac, I. Noirot and S. Chaudourne. “Multi-criteria evaluation of on-board hydrogen storage technologies using the MACBETH approach”, International Journal of Hydrogen Energy, 34, 4561-4568, 2009.
[15] M. Roubens, A. Rusinowska and H. Swart. “Using MACBETH to determine utilities of governments to parties in coalition formation”, European Journal of Operational Research, 172, 588-603, 2006.
[16] M. I. Boloş, C. I. Otgon and T. V. Orţan. “M-Macbeth method versus traditional scoring method used in the optimization of public expenditure management”, 11th International Conference Financial and Monetary Stability in Emerging Countries, 390-402, 2011.
[17] V. Cliville, L. Berrah and G. Mauris. “Quantitative expression and aggregation of performance measurements based on the MACBETH multi-criteria method”, International Journal of Production Economics, 105, 171-189, 2007.
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  • APA Style

    Ömür Tosun. (2017). Using Macbeth Method for Technology Selection in Production Environment. American Journal of Data Mining and Knowledge Discovery, 2(1), 37-41. https://doi.org/10.11648/j.ajdmkd.20170201.15

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    ACS Style

    Ömür Tosun. Using Macbeth Method for Technology Selection in Production Environment. Am. J. Data Min. Knowl. Discov. 2017, 2(1), 37-41. doi: 10.11648/j.ajdmkd.20170201.15

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    AMA Style

    Ömür Tosun. Using Macbeth Method for Technology Selection in Production Environment. Am J Data Min Knowl Discov. 2017;2(1):37-41. doi: 10.11648/j.ajdmkd.20170201.15

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  • @article{10.11648/j.ajdmkd.20170201.15,
      author = {Ömür Tosun},
      title = {Using Macbeth Method for Technology Selection in Production Environment},
      journal = {American Journal of Data Mining and Knowledge Discovery},
      volume = {2},
      number = {1},
      pages = {37-41},
      doi = {10.11648/j.ajdmkd.20170201.15},
      url = {https://doi.org/10.11648/j.ajdmkd.20170201.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajdmkd.20170201.15},
      abstract = {Technology selection has a very crucial role to any company aiming for competitive advantage in the globalized world. In a competitive environment, firms try to meet customer demand and their increasing quality expectations, at the same time finding ways to decrease costs using factors such as flexibility, quality and innovativeness. Technology selection and evaluation problem have many criteria (both subjective and objective factors) that conflict with each other. To overcome this problem multi criteria decision making methods are developed. In this study MACBETH method is used to select and evaluate technology alternatives. Decision makers’ opinions are evaluated to rank the alternatives.},
     year = {2017}
    }
    

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    AU  - Ömür Tosun
    Y1  - 2017/02/20
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ajdmkd.20170201.15
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    JF  - American Journal of Data Mining and Knowledge Discovery
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    AB  - Technology selection has a very crucial role to any company aiming for competitive advantage in the globalized world. In a competitive environment, firms try to meet customer demand and their increasing quality expectations, at the same time finding ways to decrease costs using factors such as flexibility, quality and innovativeness. Technology selection and evaluation problem have many criteria (both subjective and objective factors) that conflict with each other. To overcome this problem multi criteria decision making methods are developed. In this study MACBETH method is used to select and evaluate technology alternatives. Decision makers’ opinions are evaluated to rank the alternatives.
    VL  - 2
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    ER  - 

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