000 03936nam a2200313 a 4500
003 OSt
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008 181121s19uu xx 00 eng d
040 _cCvSU Main Campus Library
041 0 _aeng
082 0 4 _a633
_bAv5 2022
100 _aAvila, Ella Gean B.
_eauthor
_940122
245 1 0 _aA Mathematical model on the production mix of plants in the redberrytree farm /
_cby Ella Gean B. Avila and Abegail Jean M. Tangara.
260 _aIndang, Cavite,
_bCavite State University- Main Campus,
_c2022.
300 _axiii, 100 pages :
_billustrations ;
_c28 cm.
336 _2rdacontent
_atext
337 _2rdamedia
_aunmediated
338 _2rdacarrier
_avolume
500 _aThesis (Bachelor of Science in Industrial Engineering) Cavite State University
508 _aCollege of Engineering and Information Technology (CEIT)
520 3 _a AVILA, ELLA GEAN B. and TANGARA, ABEGAIL JEAN M. A Mathematical Model on the Production Mix of Plants in the Redberry tree Farm. Undergraduate Thesis. Bachelor of Science in Industrial Engineering. Cavite State University, Indang, Cavite. June 2022. Adviser: Ms. Mary Joyce P. Alcazar. The study was conducted with the aim of constructing a mathematical model to determine the optimal plant product mix for Redberry tree Farm, a small-scale farm in Dasmariñas, Cavite. Specifically, this study aimed to: (1) identify the main problem/s of the farm; (2) gather the data needed to construct a mathematical model; (3) identify the methods needed in constructing a mathematical model; (4) formulate a mathematical model; (5) verify the formulated mathematical model using various methods; and (6) provide feasible recommendations. The Define, Measure, Analyze, Design, and Verify (DMADV) methodology was used to achieve the study's objectives. In the study's methodology, the main problem was identified in the Define Phase, which is the farm's low-profit yield. A cause-and-effect diagram was utilized, and results indicated that the major cause was improper resource allocation, caused by the unutilized 8,000 square meters land area. Data were gathered through interviews with the owner and farmworker using a semi-structured questionnaire. The data focused on the selected main crops: guyabano, papaya, mango, rambutan, banana, and avocado. In the Measure Phase, additional data regarding resource allocation used in the mathematical model were presented. During the Analyze Phase, data gathered were categorized into sets, scalars, and parameters. Then, these summarized data were used to formulate the mathematical model using the General Algebraic Modeling System (GAMS) software during the Design Phase. The first optimal solution resulted in an annual profit of Php 356,602 obtained from the crop quantity of 98 mango trees, one worker, seven man-hours of labor used, and 4,836 square meters of utilized land. Five alternative options were presented during the Verify Phase to calculate optimal alternative results. There was a total of four optimal alternative results obtained. Option 4 got the highest annual profit of Php 482,937 resulting from the crop mix of 146 mango trees and 33 avocado trees, two workers with seven man-hours each of labor used, and 8,000 square meters of utilized land. Furthermore, the study recommended using the mathematical model using the data from option 4 to increase the profit yield of the farm.
541 _cSubmitted copy to the University Library.
_d08/03/2022
_eT-9155
650 0 _aCrop production
_914044
_xMathematical model
690 _aBachelor of Science in Industrial Engineering
_91858
700 _aTangara, Abegail Jean M.
_eauthor
_940123
700 _aAlcazar, Mary Joyce P.
_eadviser
_92291
856 _yClick here to view the Abstract and Table of Contents
_uhttp://library.cvsu.edu.ph/cgi-bin/koha/opac-retrieve-file.pl?id=d54f6760a910106a9901ebaa1d8be30c
942 _2ddc
_cMAN
999 _c62826
_d62826