scholarly journals Selecting Postharvest Technology Method for Citrus Fruit using Analytic Hierarchy Process (AHP)

2016 ◽  
Vol 3 (3) ◽  
pp. 77 ◽  
Author(s):  
Andi Dirpan ◽  
Alim Setiawan Slamet

<p>Ehime Prefecture is one of the main citrus fruit producing regions in Japan. As many as 20 major citrus varieties are cultivated in Ehime annually. The harvest of citrus fruit in a large scale has brought the consequences in the postharvest deterioration. It could be caused by many factors, including metabolic changes, (biochemical changes associated with respiratory metabolism, ethylene biosynthesis and action, and compositional changes), growth and development (anatomical and morphological changes), physical injuries, water loss, physiological disorders, and pathological To reduce these losses, it is suggested to apply proper handling methods or postharvest technologies that delay senescence and maintain the best possible quality. There are some handling methods or postharvest technologies that can be used to maintain the quality of citrus fruit, such as: modified atmosphere packaging (MAP), controlled atmosphere storage (CAS), coatings, hot water treatment, and etc. In this paper, analytic hierarchy process (AHP) is used to select the best postharvest method for preserving citrus fruit in Ehime. The ability of the AHP to provide selection of the postharvest technology with process flexibility like criteria selection, technology selection and criteria weightages allows its use by students, researchers, entrepreneurs, technology facilitators, policy makers, etc.</p><p><strong>Keywords</strong>: Analytic hierarchy process, postharvest, citrus. </p>

2021 ◽  
Vol 57 (9) ◽  
pp. 6220-6229
Author(s):  
Prashant Rai, Dr Arun Kumar ON

As livestock plays a very crucial role in Indian economy. Livestock trading in India is very unstructured. The Buyer can be farmer or Diary farm owner who wants to procure a livestock. In this research the Livestock which is considered is the Murrah buffalo belong to water buffalo (Bubalus bubalis) breed which are mainly kept for milk production. The buyer is available with 8 suppliers which are fulfilling the same criteria of the breed. The Suppliers are divided into two segments, large scale supplier and small scale supplier. The supplier having more than 10 livestock of same breed has been considered large scale supplier, and the supplier having less than or equal to 10 has been considered small scale supplier. As competition is increasing every day the procurement activities are highly important. So, Multi criteria decision making approach has been used. Specifically, Analytic Hierarchy Process has been used for the selection of vendor among the alternatives available. In this research three criteria, seven sub criteria and eight alternatives has been evaluated. All vendors are ranked according to the result obtained from the AHP to aid the decision making. By implementation of AHP we were able to obtain the best fit vendor. AHP is a practical tool used for aiding the decision making when there are too many parameters. In Livestock trading ecosystem this tool will help in decision making


Author(s):  
Won-Chol Yang ◽  
Jae-Bok Ri ◽  
Ji-Yon Yang ◽  
Ju-Song Kim

The analytic hierarchy process has been widely used to determine subjective weights of materials selection criteria in materials selection using multi-criteria decision-making. However, the analytic hierarchy process has some drawbacks: it is difficult to construct a pairwise comparison matrix and meet the consistency requirement. First, we propose a new simplest questionnaire to perform the pairwise comparison without confusion, conventionally and easily. Next, we propose an improved modifying method for inconsistent pairwise comparison matrix according to the following principles: (1) the elements of the reconstructed pairwise comparison matrix should be nine-point scales, (2) the number and modifying the amount of the modified elements should be as small as possible and (3) the deviation between the original and reconstructed pairwise comparison matrixes should be as small as possible. The outline of the proposed modifying method is as follows: (1) calculate the consistency ration decrements of all the pairwise comparison matrixes reconstructed by modifying every element of the original pairwise comparison matrix to the lower and upper adjacent nine-point scales and (2) find the element with the maximum consistency ratio decrement and modify it to the lower or upper adjacent scale. To illustrate the effectiveness, we apply the proposed methods to determine the criteria weights for selecting the best phase change material used in a solar domestic hot water system, and apply the proposed modifying method to some examples from the published papers, and compare the performances with some previous methods. The simplest questionnaire and improved modifying method help materials designers and engineers to apply the analytic hierarchy process method in materials design and optimization problems, much more actively.


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