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A Decision Making in Selection of Bricks Using Multiple Attribute Decision Making Methods

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  • Satish Kumar Jain

Abstract

All building materials such as brick, cement, paint, lime, steel, glass, etc. of various brands with small variation in their specifications and cost are available in the markets of construction. It becomes very difficult for contractors, engineers, and owners to make right choice of materials logically to maintain good quality and minimum cost of the work. Improper choice may result in either bad quality or higher cost. Multiple Attribute Decision Making Methods are very helpful in selection of any material. These methods have been used largely in various fields of engineering for deciding best of available options. This paper presents an overview of Simple Additive Weighting Method (SAW), Weighted Product Method (WPM) and Analytical Hierarchy Process (AHP) methods which can be simply and successfully used for selection of bricks.

Suggested Citation

  • Satish Kumar Jain, 2020. "A Decision Making in Selection of Bricks Using Multiple Attribute Decision Making Methods," European Journal of Engineering and Technology Research, European Open Science, vol. 5(12), pages 121-125, December.
    • Handle: RePEc:epw:ejeng0:v:5:y:2020:i:12:id:62292
    DOI: 10.24018/ejeng.2020.5.12.2292
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    References listed on IDEAS

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    1. Tseng, Mei-Chiun, 2004. "Strategic choice of flexible manufacturing technologies," International Journal of Production Economics, Elsevier, vol. 91(3), pages 223-227, October.
    2. Karsak, E. Ertugrul & Kuzgunkaya, Onur, 2002. "A fuzzy multiple objective programming approach for the selection of a flexible manufacturing system," International Journal of Production Economics, Elsevier, vol. 79(2), pages 101-111, September.
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