three neighbouring cities that are discharging two kinc lutants, A and B, into the river. Now the Uttar Prad government has set up a treatment plant that treats p from City 1 for $15 per ton which reduces pollutants A the amount of 0.10 and 0.45 tons per ton of waste, respe- costs $10 per ton to process a ton of City 2 waste and co

FINANCIAL ACCOUNTING
10th Edition
ISBN:9781259964947
Author:Libby
Publisher:Libby
Chapter1: Financial Statements And Business Decisions
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Exercise 4.2. On the bank of Ganga river, Varanasi, there are
three neighbouring cities that are discharging two kinds of pol-
lutants, A and B, into the river. Now the Uttar Pradesh state
government has set up a treatment plant that treats pollutants
from City 1 for $15 per ton which reduces pollutants A and B by
the amount of 0.10 and 0.45 tons per ton of waste, respectively. It
costs $10 per ton to process a ton of City 2 waste and consequen-
tially reducing pollutants A and B by 0.20 and 0.25 tons per ton
of waste, respectively. Similarly, City 3 waste is treated for $20 re-
ducing A by 0.40 and B by 0.30 tons per ton of waste. The state
wishes to reduce the amount of pollutant A by at least 30 and B
by 40 tons. Formulate the linear programming problem that will
minimize the cost of reducing pollutants by the desired amount.
optimization
Transcribed Image Text:Exercise 4.2. On the bank of Ganga river, Varanasi, there are three neighbouring cities that are discharging two kinds of pol- lutants, A and B, into the river. Now the Uttar Pradesh state government has set up a treatment plant that treats pollutants from City 1 for $15 per ton which reduces pollutants A and B by the amount of 0.10 and 0.45 tons per ton of waste, respectively. It costs $10 per ton to process a ton of City 2 waste and consequen- tially reducing pollutants A and B by 0.20 and 0.25 tons per ton of waste, respectively. Similarly, City 3 waste is treated for $20 re- ducing A by 0.40 and B by 0.30 tons per ton of waste. The state wishes to reduce the amount of pollutant A by at least 30 and B by 40 tons. Formulate the linear programming problem that will minimize the cost of reducing pollutants by the desired amount. optimization
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