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Using Multi-Criteria Analysis In Decision Making Regarding The Adoption Of Wind Pump For Irrigation In Bangladesh

Listed author(s):
  • Nasima BAGUM

    (Department of Industrial and Production EngineeringUniversity of Science & Technology, ShahJalal, Bangladesh)

  • Abul Anam RASHED


    (Department of Industrial and Produc EngineeringUniversity of Science & Technology, ShahJalal, Bangladesh)

  • A. K. M. MASUD


    (Department of Industrial and Production Engineering and Mechanical Engineering University of Engineering & Technology, Bangladesh)

  • Quamrul ISLAM


    (Department of Industrial and Production Engineering and Mechanical Engineering University of Engineering & Technology, Bangladesh)

Registered author(s):

    Multi-criteria analysis in decision making quantifies both objective and subjective factors. In the selection of the pumping system for irrigation objective factors are usually considered but subjective factors are overlooked. The selection of the best alternative may even get changed if we consider the subjective factors along with objective factors. In this paper analysis has been done to modify the BrownGibson Plant location model to consider the objective factors and Analytical Hierarchical Process (AHP) is applied to consider the subjective factors in the decision process of selecting wind pumping system, in place of traditional diesel and electric pumping system or in place of manual pump. To compare a wind pumping system with diesel and electric pump, a locally made wind pumping system is considered and annual useful amount of energy is calculated by writing a Computer Program. The combined analysis of both factors has shown that wind pumps get highest preference.

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    Article provided by Spiru Haret University, Faculty of Management Brasov in its journal Review of General Management.

    Volume (Year): 15 (2012)
    Issue (Month): 1 (Mai)
    Pages: 157-178

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    Handle: RePEc:fmb:journl:v:15:y:2012:i:1:p:157-178
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    1. Purohit, Pallav, 2007. "Financial evaluation of renewable energy technologies for irrigation water pumping in India," Energy Policy, Elsevier, vol. 35(6), pages 3134-3144, June.
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