问题11:两名裁缝A和B的日薪分别为150卢比和200卢比。 A每天可以缝制6件衬衫和4条裤子,而B可以每天缝制衬衫和4条裤子。形成线性规划问题,以最小化生产至少60件衬衫和32条裤子的人工成本。
回答:
The above LPP can be represented in the table above.
To minimize labour cost means to assume minimize the earnings, i.e, Min Z = 150x + 200y such that the constraints
x>=0; y >= 0 (at least 1 shirt and pant is required)
6x + 10y >= 60 (require at least 60 shirts)
4x + 4y >= 32 (require at least 32 pants)
Solving the above inequalities a s equations we get, x = 5 and y = 3
Other corner points obtained are (0, 6) & (10, 0), (0, 8) & (8, 0)
The feasible region is the open unbounded region A-E-D.
Point E(5, 3) may not be the minimal value. So, plot 150x + 200y < 1350 to see if there is a common region with A-E-D.
The green line has no common point, therefore
Stitching 5 shirts and 3 pants minimizes labour cost to Rs. 1350.
问题12.一家航空公司同意为一个团体包机。该团体至少需要160个头等舱座位和至少300个游客舱位。警长必须使用其314型飞机中的至少两个,这些飞机有20个头等舱座位和30个游客舱位。该航空公司还将使用其535型飞机中的某些飞机,这些飞机有20个头等舱座位和60个游客座位。 314型飞机的每次飞行花费公司10万卢比,而535型飞机的每次飞行花费15万卢比。为了减少飞行成本,每种类型的飞机应使用多少架?将其表述为LPP。
给定的信息可以制成表格,如下所示:
Taylor A | Taylor B | Limit | ||
Variable | x | + | y | |
Shirts | 6x | + | 10y | >=60 |
Pants | 4x | + | 4y | >=32 |
Earn Rs | 150 | + | 200 | Z |
回答:
Model 314 | Model 535 | Limit | ||
Variable | x | + | y | |
F class | 20x | + | 20y | >= 160 |
T class | 30x | + | 60y | >= 300 |
Cost | x lakh | + | 1.5y lakh | Z |
The above LPP can be represented in the table above.
The flight cost is to be minimized, i.e, Min Z = x +1.5y such that the constraints
x >= 2 (at least 2 planes of model 314 must be used)
y >= 0 (at least 1 planes of model 535 must be used)
20x + 20y >= 160 (require at least 160F class seats)
30x + 60y >= 300 (require at least 300T class seats)
Solving the above inequalities as equations we get,
When x = 0, y = 8 and when y = 0, x = 8
When x = 0, y = 5 and when y = 0, x = 10
We get an unbounded region 8-E-10 as a feasible solution. Plotting the corner points and evaluating we have,
Corner point | Value of Z = x + 1.5y |
10, 0 | 10 |
0, 8 | 12 |
6, 2 | 9 |
Since we obtained an unbounded region as the feasible solution a plot of Z ( x + 1.5y < 9) is plotted.
since there are no common points , point E is the point that gives the minimum value.
Using 6 planes of model 314 & 2 of model 535 gives minimum cost of 9 lakh rupees.
问题13。阿米特(Amit)的数学老师给了他三道很长的问题清单,并指示他们提交不超过100个(正确解决的)问题才能获得学分。第一组中的问题每人得5分,第二组中的问题每人得4分,第三组中的问题每人得6分。 Amt从经验中知道,他平均需要3分钟才能解决5分问题,需要2分钟才能解决4分问题,并且需要4分钟才能解决6分问题。由于他还有其他问题要担心,因此他不能花全部3.5个小时以上的时间从事数学作业。此外,前两组问题涉及数值计算,并且他知道他不能忍受超过2.5个小时的时间来处理此类问题。在这种情况下,为了使自己的努力获得最大可能的信誉,他应该在每个类别中解决多少个问题?将其表述为LPP。
回答:
Given information can be tabulated as below
Sets | Time requirement | Points |
1 | 3 | 5 |
2 | 2 | |
3 | 4 | 6 |
Time for all three sets = 3.5 hours Time for Set 1 ans Set 2 = 2.5 hours Maximum number of questions = 100 |
Let there be x, y, z questions from set 1, 2 and 3 respectively.
Given, each question from set 1, 2 and 3 earn 5,4 and 6 points respectively. So x questions of set 1, y questions of set 2 and z questions of set 3 earn 5x, 4y and 6z points.
Let total point credit be U
So, U = 5x + 4y + 6z
Given, each questions of set 1, 2 and 3 require 3, 2 and 4 minutes respectively. So, x questions of set 1, y questions of set 2 and z questions of set 3 require 3x, 2y and 4z minutes respectively but given that total time to devote in all three sets is 3.5 hours = 210 minutes and the first two sets is 2.5 hours = 150 minutes.
So,
3x + 2y + 4z <= 210 (First constraint)
3x + 2y < =150 (Second constraint)
Given, total number of questions cannot exceed 100.
So, x + y + z <= 100 (Third constraint)
Hence, mathematical formulation of LPP is
Find x and y which maximize U = 5x + 4y + 6z
Subject to constraint,
3x + 2y + 4z <= 210
3x + 2y < =150
x + y + z <= 100
x, y, z >= 0 (Since number of questions to solve from each set cannot be less than zero)
问题14.一个农民有一个100英亩的农场。他可以卖他可以养的西红柿,生菜或萝卜。他可以获得的价格是西红柿每公斤Re 1,莴苣每头0.75卢比,萝卜每公斤2卢比。每英亩萝卜的平均产量为2000公斤,莴苣为3000头,萝卜为1000公斤。肥料的价格为每公斤0.05卢比,西红柿和生菜每英亩所需量为100公斤,萝卜为50公斤。每英亩播种,栽培和收获所需的劳动力是西红柿和萝卜5个人日,生菜6个人日。总共有400个工作日的劳动,每人每天20卢比。将此问题表述为LPP,以最大限度地提高农民的总利润。
回答:
Given information can be tabulated as below:
Product | Yield | Cultivation | Price | Fertilizers |
Tomatoes | 2000 kg | 5 days | 1 | 100 kg |
Lettuce | 3000 kg | 6 days | 0.75 | 100 kg |
Radishes | 1000 kg | 5 days | 2 | 50 kg |
Average 2000 kg/per acre
Total land = 100 Acre
Cost of fertilizers = Rs 0.50 per kg
A total of 400 days of cultivation labour with Rs 20 per day
Let required quantity of field for tomatoes, lettuce and radishes be x, y and z acre respectively.
Given, costs of cultivation and harvesting of tomatoes, lettuce and radishes are 5 * 20 = Rs 100, 6 * 20 = Rs 120, 5 * 20 = Rs 100 respectively per acre. Cost of fertilizers for tomatoes, lettuce and radishes 100 * 0.05 = Rs 50, 100 * 0.50 = Rs 50 ans 50 * 0.50 = Rs 25 respectively per acre.
So, total costs of production of tomatoes, lettuce and radishes are Rs 100 + 50 = Rs 150x, Rs 120 + 50 = Rs 170y and Rs 100 + 25 = Rs 125z respectively. Total selling price of tomatoes, lettuce according to yield are 2000 * 1 = Rs 2000x, 3000 * 0.75 = Rs 2250y and 1000 * 2 = Rs 2000z respectively.
Let U be the total profit,
So,
U = (2000x – 150x) + (2250y – 170y) + (2000z – 125z)
U = 1850x + 2080y + 1875z
Given, farmer has 100 acre from
So, x + y + z <= 100 (First constraint)
Number of cultivation and harvesting days are 400
So, 5x + 6y + 5z <= 400 (Second constraint)
Hence, mathematical formulation of LPP is
Find x, y, z which maximize U = 11850x + 2080y + 1875z
Subject to constraint,
x + y + z <= 100
5x + 6y + 5z <= 400
x, y, z >=0 (Since cultivation cannot be less than zero)
问题15.一个公司生产两种产品,每种产品必须通过两个部门1和2进行处理。每个部门中每个产品的每小时需求,每个部门的每周生产能力,每单位的销售价格,每单位的人工成本单位和原材料成本汇总如下:
Corner point | Value of Z = 150x + 200y |
0, 8 | 0 |
10, 0 | 1500 |
5, 3 | 1350 |
问题是确定生产每种产品的单位数量,以使对利润的总贡献最大化。将其表述为LPP。
回答:
Given information can be tabulated as below:
Product | Department 1 | Department 2 | Selling price | Labour cost | Raw material cost |
A | 3 | 4 | 25 | 16 | 4 |
B | 2 | 6 | 30 | 20 | 4 |
Capacity | 130 | 260 |
Let the required number of product A and B be x and y units respectively.
Given, labour cost and raw material cost of one unit of product A is Rs 16 and Rs 4, so total cost of product A is Rs 16 + Rs 4 = Rs 20
And given selling price of 1 unit of product A is Rs 25
So, profit on one unit of product A = Rs 25 – Rs 20 = Rs 5
Again, labour cost and raw material cost of one unit of product A is Rs 20 and Rs 4, so total cost of product A is Rs 20 + Rs 4 = Rs 24
And given selling price of 1 unit of product B is Rs 30
So, profit on one unit of product B = Rs 30 – Rs 24 = Rs 6
Hence, profits on x unit of product A and y units of product B are Rs 5x and Rs 6y respectively.
Let Z be the total profit, so Z = 5x + 6y
Given, production of one unit of product A and B need to process for 3 and 4 hours respectively in department 1, so production of x units of product A and y units of product B need to process for 3x and 4y hours respectively in department 1. But total capacity of Department 1 is 130 hours,
So, 3x + 2y <= 130 (First Constraint)
Given, production of one unit of product A and B need to process for 4 and 6 hours respectively in department 2, so production of x units of product A and y units of product B need to process for 4x and 6y hours respectively in department 2. But total capacity of Department 2 is 260 hours,
So, 4x + 6y <= 260 (Second Constraint)
Hence, mathematical formulation of LPP is
Find x, y, z which maximize Z = 5x + 6y
Subject to constraint,
3x + 2y <= 130
4x + 6y <= 260
x, y >= 0 (Since production cannot be less than zero)