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2017 | 5 | nr 2 Innovation Activities and Human Factor in Modern Business: Measurement, Results and Impact | 41--54
Tytuł artykułu

Application of Hybrid MADM Methods for Performance Evaluation in Manufacturing

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper is focused on the application of methods of multiple attribute decision making methods and techniques from the perspective of top managers. Attention is paid to the decomposition of multiple-criteria methods of decision making under certainty, which can be used to determine allocation of preferences to criteria, attributes or variables in a wide range of tasks in the field of business economics and management. The goal of the paper is to present a systematic decision making procedure that combines selected multiple attribute decision making (MADM) methods of SAW and COPRAS-G combined with analytic hierarchy process (AHP) for performance evaluation with practical example on performance evaluation in a manufacturing company. AHP is applied to facilitate group decision making among managers and to set their priorities for further performance evaluation. (original abstract)
Twórcy
autor
  • VŠB-Technical University of Ostrava, Czech Republic
  • VŠB-Technical University of Ostrava, Czech Republic
Bibliografia
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  • Franek, J., Kresta, A. (2013), Competitive strategy decision making based on the five forces analysis with AHP/ANP approach, in: A. Kocourek (Ed.), Proceedings of the 11th International Conference "Liberec Economic Forum" (pp. 135-145), Liberec: Technical University of Liberec.
  • Franek, J., Zmeškal, Z. (2013), A model of strategic decision making using decomposition SWOT-ANP method, In: M. Čulík (Ed.), Financial management of firms and financial institutions, 9th International Scientific Conference Proceedings (Part I-III) (pp. 172-180), Ostrava: VŠB-Technical University of Ostrava.
  • Ishizaka, A., Labib, A. (2011), Review of the main developments in the analytic hierarchy process, Expert Systems with Applications, 38(11): 14336-14345.
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  • Mikusova, M. (2011), The creation of the performance measurement system - house model, 2011 International Conference on Management and Service Science IPEDR, 8: 48-52.
  • Pan, F.C. (2006), Escalate BSC power by AHP: Innovative approach for strategy implementation, International Journal of Management and Decision Making, 7(2-3): 337-351.
  • Reisinger, H., Cravens K.S., Tell, N. (2003), Prioritizing performance measures within the Balanced Scorecard framework, Management International Review, 43(4): 429-437.
  • Saaty, T.L. (1980), The analytic hierarchy process: planning, priority setting, resource allocation, London: McGraw-Hill.
  • Saaty, T.L. (1996), Decision making with dependence and feedback: The analytic network process (1st edition), Pittsburgh: RWS Publications.
  • Saaty, T.L., Vargas, L.G. (2006), Decision making with the analytic network process: Economic, political, social and technological applications with benefits, opportunities, costs and risks, New York: Springer.
  • Shannon, C.E. (1948), A mathematical theory of communication, Bell Systems Technology Journal, 27(3): 379-423.
  • Simon, H.A. (1993), Strategy and organizational evolution, Strategic Management Journal, 14: 131-142.
  • Tzeng, G.H., Huang, J.J. (2011), Multiple attribute decision making: Methods and applications, Boca Raton: CRC Press.
  • Varma, S., Wadhwa, S., Deshmukh, S.G. (2008), Evaluating petroleum supply chain performance: application of analytical hierarchy process to Balanced Scorecard, Asia Pacific Journal of Marketing and Logistics, 20(3): 343-356.
  • Velmurugan, M.S., Narayanasamy, K. (2009), The impact of decision support system on SME's and E-Business, In: K. S. Soliman (Ed.), Creating global economies through innovation and knowledge management: Theory & Practice, 1-3: 1158-1169.
  • Yildiz, A., Yayla, A.Y. (2015), Multi-criteria decision-making methods for supplier selection: A literature review, South African Journal of Industrial Engineering, 26(2): 158-177.
  • Zavadskas, E.K., Kaklauskas, A., Turskis, Z., Tamosaitiene, J. (2009), Multi-attribute decision making model by applying grey numbers, Informatica, 20(2): 305-320.
  • Zavadskas, E.K., Turskis, Z., Kildienė, S. (2014), State of art surveys of overviews on MCDM/MADM methods, Technological & Economic Development of Economy, 20(1): 165-179.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171528708

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