Optimized Formula with Linear Programming Model for Anticancer Production of Marine Fungus

2012 ◽  
Vol 433-440 ◽  
pp. 992-994
Author(s):  
Tian Wang ◽  
Lin Wang ◽  
Li Tian

In order to promote the yield of anticancer chemical compound PJ157 of marine YUP08 strain, the Linear Programming model (LP model) was used to optimize four components of medium for the strain. The primary culture medium consists of glucose, peptone, yeast and NaCl, which were possessory worked on growing and metabolism of the fungus. Contribution rate from data was built to manage complex effects for produce PJ157. It is forecast that the yield of PJ157 could be increased to 0.21735 mg/L which was great more than 0.04 mg/L in the before. Therefore the LP model could be used for fermentation optimization of microorganism.

Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 594 ◽  
Author(s):  
Jaime Veintimilla-Reyes ◽  
Annelies De Meyer ◽  
Dirk Cattrysse ◽  
Jos Van Orshoven

The allocation of water flowing through a river-with-reservoirs system to optimally meet spatially distributed and temporally variable demands can be conceived as a Network Flow Optimisation (NFO) problem and addressed by Linear Programming (LP). In this paper we present an extension of the strategic NFO-LP model to simultaneously optimise the allocation of water and the location of one or more reservoirs. The applicability of the MILP model has been illustrated by applying it to a hypothetical river network configuration consisting of seven candidate reservoir nodes and seven demand nodes, and by comparing the outcome (water levels in selected reservoir, penalties) with the values obtained by the original LP-model for the same network with six reservoirs present.


2013 ◽  
Vol 1 (2) ◽  
pp. 245-250
Author(s):  
Felix Majeke ◽  
Michael Ticharwa Mubvuma ◽  
Kasirayi Makaza

The available working capital required to finance purchase of inputs on a farm like seeds for instance, can be an important constraint on a farm. Some working capital may be available from the farm family‘s savings. The farmer may have an option for increasing his working capital by borrowing. In this study, a linear programming model was developed in order to determine the optimal crop combination for a rural farmer. The linear programming model incorporated the credit constraint. The objective was to maximize income. Crops considered were maize, soya beans, cotton and tobacco. Tobacco gained acreage by 291.33%.Soya beans and cotton lost acreage completely. Maize lost acreage by 73.5%. The optimal income increased from $9,877.00 to $22,774.60. The optimal income showed an improvement of 130.58% compared to the farmer‘s existing plan. The results show that LP model solutions are worthy implementing because they increase income.


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
S Mohd Baki ◽  
Jack Kie Cheng

Production planning is often challenging for small medium enterprises (SMEs) company. Most of the SMEs are having difficulty in determining the optimal level of the production output which can affect their business performance. Product mix optimization is one of the main key for production planning. Many company have used linear programming model in determining the optimal combination of various products that need to be produced in order to maximize profit. Thus, this study aims for profit maximization of a SME company in Malaysia by using linear programming model. The purposes of this study are to identify the current process in the production line and to formulate a linear programming model that would suggest a viable product mix to ensure optimum profitability for the company. ABC Sdn Bhd is selected as a case study company for product mix profit maximization study. Some conclusive observations have been drawn and recommendations have been suggested. This study will provide the company and other companies, particularly in Malaysia, an exposure of linear programming method in making decisions to determine the maximum profit for different product mix.


1992 ◽  
Vol 43 (11) ◽  
pp. 1035-1045
Author(s):  
S O Duffuaa ◽  
J A Al-Zayer ◽  
M A Al-Marhoun ◽  
M A Al-Saleh

Author(s):  
Luis Felipe Zegarra

Abstract This study provides new estimates on welfare ratios for London, Amsterdam, Paris, Strasbourg, Munich, and Leipzig for 1600–1850. I use a linear programming model to compute the basket that minimizes the food cost subject to nutrient requirements. For a balanced nutrition, I take into consideration that people should ingest not only calories and proteins, but also fat, iron, and some basic vitamins. The results suggest that living standards in Western Europe were lower than previously thought. However, like previous studies, this article suggests that welfare ratios in London were higher than in other European cities.


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