@article{Baharudin_Noordin_2017, place={Arau, Malaysia}, title={A Linear Programming Approach to Optimize Natural Rubber Production}, volume={2}, url={https://jcrinn.com/index.php/jcrinn/article/view/30}, abstractNote={<div><em>This article describes the</em></div> <div><em>design of a linear programming model to optimize production of</em></div> <div><em>natural rubber in Malaysia. Uptrend in natural rubber production which occurred after 2015</em></div> <div><em>did not last long. Area for rubber cultivation was not only affected by efforts to convert rubber</em></div> <div><em>est</em></div> <div><em>ates into real estate developments but also by factors such as increase in farmers’ interest</em></div> <div><em>to cultivate oil palm, unstable rubber price, lengthy duration of low rubber price, insufficient</em></div> <div><em>number of rubber tappers, long waiting time before tapping rubber</em></div> <div><em>trees, changing land</em></div> <div><em>conditions for crops, and buyout offers for rubber wood from furniture</em></div> <div><em>-</em></div> <div><em>manufacturing</em></div> <div><em>factories. Results from two different software, namely Excel Solver and QM for Windows were</em></div> <div><em>compared. No significant difference in value was observed</em></div> <div><em>to take place</em></div> <div><em>,</em></div> <div><em>thus the development</em></div> <div><em>of linear programming model was considered to be successful.</em></div>}, number={1}, journal={Journal of Computing Research and Innovation}, author={Baharudin, Sarimah and Noordin, Noraini}, year={2017}, month={Mar.}, pages={50–55} }