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An Application of Analytical Hierarchy Process (AHP) for Affect Factor to Corn Price in Thailand Market

Paibool Kitworawut and Vichai Rungreunganun
Department of Industrial Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand
Abstract—Problems today become more complex which related to multi-dimensions of criterions. The difficulty of making decision needs the specific tool to cope with such varieties of concerns. Corn harvesting is one of the most complicated problems which farmers need some information to make decision prior farming. And they such factors effect to corn price also. This research aims to seek for the set of important information related to corn price by collecting contents from literature and experts. Fourteen contents have been collected and validated by Index of Item-objective congruence process. The validated contents would be applied for data gathering. A model was constructed and scored across each pair of contents by using the Analytical Hierarchy Process approach. For confidence interval at 95 percent and margin of error at 15 percent, the sample size would be 171 questionnaires to be collected. All questionnaires would be tested for consistency. The result of this research found that there are 4 main factors affect to corn price in Thailand market, e.g., chicken export rate, corn import rate, weather and soybean price at 14.50%, 15.15%, 14.86% and 13.05% respectively. The result of this research would bring more understanding of these factors to corn price in future research.

Index Terms—analytical hierarchy process, decision making, index of item-objective congruence

Cite:  Paibool Kitworawut and Vichai Rungreunganun, "An Application of Analytical Hierarchy Process (AHP) for Affect Factor to Corn Price in Thailand Market," Journal of Advanced Agricultural Technologies, Vol. 4, No. 3, pp. 280-284, September 2017. Doi: 10.18178/joaat.4.3.280-284
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