Cassava foliage harvesting machine selection decision making factors: The case study in Thailand

The framework of this study start from the cassava farmers’ aspect, link with factors concerned from literature review and then grouping the suitable criteria and sub-criteria.
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Cassava foliage harvesting machine selection decision making factors: The case study in ThailandInternational Journal of Mechanical Engineering and Technology (IJMET)Volume 10, Issue 04, April 2019, pp. 39-48. Article ID: IJMET_10_04_006Available online at http://www.iaeme.com/ijmet/issues.asp?JType=IJMET&VType=10&IType=4ISSN Print: 0976-6340 and ISSN Online: 0976-6359© IAEME Publication Scopus Indexed CASSAVA FOLIAGE HARVESTING MACHINE SELECTION DECISION MAKING FACTORS: THE CASE STUDY IN THAILAND Supattra Buasaengchan Technopreneurship and Innovation Management, Graduate School, Chulalongkorn University, Bangkok, Thailand. Somchai Pengprecha Faculty of Science, Chulalongkorn University, Bangkok, Thailand. Pakpachong Vadhanasindhu Faculty of Commerce and Accountancy, Chulalongkorn University, Bangkok,Thailand. Kriengkri Kaewtrakulpong Faculty of Agriculture, Kasetsart University, Bangkok, Thailand. ABSTRACT Machine and tooling selection are very important for agriculture economy which base on labor intensive that increase time usage and cost. Cassava foliage harvesting selection is very challenging in choosing the machine since it will be the key importance to change the cassava supply chain that cannot bring cassava foliage to use in the commercial way. The framework of this study start from the cassava farmers’ aspect, link with factors concerned from literature review and then grouping the suitable criteria and sub-criteria. The specific questionnaire was conducted with the representative of the cassava farmer, agriculture machine maker and the expert user in cassava foliage. The Analytical Hierarchy Process (AHP) is used to set the hierarchy structure of the criteria, rating and prioritization. The results of the study illustrate the machine factors and cost for cassava foliage harvesting machine selection decision making. The prioritized factors are durability, low cost of harvesting, safety, technology and quality of output respectively. It can be used not only cassava foliage harvesting machine selection case but also the other agriculture machine or equipment. Keywords: cassava foliage harvesting machine, AHP, agriculture machine selection, multi criteria decision making http://www.iaeme.com/IJMET/index.asp 39 editor@iaeme.com Cassava Foliage Harvesting Machine Selection Decision Making Factors: the Case Study in Thailand Cite this Article Supattra Buasaengchan, Somchai Pengprecha, Pakpachong Vadhanasindhu and Kriengkri Kaewtrakulpong, Cassava Foliage Harvesting Machine Selection Decision Making Factors: The Case Study in Thailand, International Journal of Mechanical Engineering and Technology, 10(4), 2019, pp. 39-48. http://www.iaeme.com/IJMET/issues.asp?JType=IJMET&VType=10&IType=41. INTRODUCTIONCassava foliage, cassava leaf or cassava hay in Thailand is accepted in the high crude proteinnutrition for animal feeds comparing to the other sources such as fish meal or soy bean. Fromthe prior empirical study of the author “The reason why we can’t use cassava leaf forcommercial purpose in Thailand” [1] shows the importance of machine as unmet need. 75% ofthe samples are interested in harvesting tools due to the lack of labor, wastes in process, timewhich bring to the high cost of harvesting and unprofitability. The objective of the study is to identify the suitable factors for cassava foliage harvestingmachine selection decision making that can generate revenue and profit from the cassavafoliage with productivity, fit to Thai farming characteristics, easy to use, and reduce labor cost.The suitable model for machine selection factors and process are essential in order to maximizethe harvesting outcome. This article is divided into five sections. The introduction shows the importance for thisstudy, literature review with the theoretical base and relevant researches, and the methodologyof the study. The result of the study from both the survey and the Analytical Hierarchy Process(AHP). The last section is conclusion, discussion of the result, and the recommendation forfurther study.2. LITERATURE REVIEWAnalytic Hierarchy Process (AHP) method is one of the well-known decision-makingconsideration with multiple criteria developed by Thomas Saaty [2]. AHP can be used in bothqualitative and quantitative criteria for the judgment in decision-making. The steps in AHPcomprise of structuring the framework, questionnaire design, sampling & questionnaire survey,weight the priorities, and then summarize the results and conclusions. In the process of comparison, the numbers are identified accordingly to the importance scaleof each comparison in line with the definition [3]. The absolute numbers are assigned for eachpair of factors to represent the importance of factor to be selected by the respondent and thencalculated to be used for the systematic decision making. From the literature review, the criteria, machine and cost, and sub-criteria are defined as inTable1 in order to group the various criteria and definition from the twelve literatures togetherwith the result from the empirical study. The factors are 2 major criteria: the Machine factorand the Cost factor. The machine factors consist of 7 sub-criteria: easy to use, productivity,quality, suitability to scale of production, safety, durable and technology. For the Cost Factor, the 5 sub-criteria are economical investment, reduce labor, energysaving, maintenance cost and low cost of harvesting. http://www.iaeme.com/IJMET/index.asp 40 e ...