OPTIMALISASI TINGKAT KEUNTUNGAN DENGAN PENGEMBANGAN MODEL JADWAL PANEN TOMAT MENGGUNAKAN METODE MILP DENGAN PENDEKATAN ROLLING SCHEDULING
Main Author: | KELLO, ALFIAN |
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Format: | Thesis NonPeerReviewed Book |
Bahasa: | eng |
Terbitan: |
, 2017
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Subjects: | |
Online Access: |
https://eprints.untirta.ac.id/3100/1/Optimalisasi%20Tingkat%20Keuntungan%20Dengan%20Pengembangan%20Model%20Jadwal%20Panen%20Tomat%20Menggunakan%20Metode%20MILP%20Dengan%20Pendekatan%20Rolling%20Scheduling.pdf https://eprints.untirta.ac.id/3100/ |
Daftar Isi:
- BUMP Karya Tani is a business entity belonging to the farmers cultivate plant holtikultura one of which is of tomato plants.The addition of the tomato sauce into the company in 2014 make a request and the rising demand .Demand a sauce into the company requires maturity 95 percent and requires after harvest activity consisting of laundering , sorting and packaging .Advantage to a higher sauce , so that harvesting ripeness 95 percent to reckon with proper .In fulfillment of a request from the company sauce , often the occurrence of a shortage and excess of the volume in accordance with the quality of that required companies sauce on every delivery schedule .If there is a shortage , bump and farm work will lose the opportunity to gain greater . If there is excess , although can be kept but very limited time and requires the cost savings .This needs to design a mathematical formula for scheduling of the harvest of tomatoes with three variations of the level of maturity to produce maximum profit .To the problems resolved obtain optimum results and methods used is a method of linear progamming , because the model that made there is an integer binary and variable continous the right methods used is an integer linear progaming mixed method .Of research results obtained the design of mathematical formula for scheduling of the harvest of tomatoes with three variations of ripeness determined by using a linear progamming interger mix because able to produce maximum advatage in accordance with market demand .