The document provides an overview of a presentation on decision making and linear programming. It discusses farm management decisions that fall under organizational, administrative, and marketing categories. It then introduces quantitative analysis approaches and linear programming. Linear programming is defined as a technique to optimize performance under resource constraints. The assumptions and terminology of linear programming are explained. Finally, examples are provided to demonstrate how to formulate a linear programming model and solve it graphically.
The Least Cost Method is another method used to obtain the initial feasible solution for the transportation problem. Here, the allocation begins with the cell which has the minimum cost. The lower cost cells are chosen over the higher-cost cell with the objective to have the least cost of transportation.
The Least Cost Method is another method used to obtain the initial feasible solution for the transportation problem. Here, the allocation begins with the cell which has the minimum cost. The lower cost cells are chosen over the higher-cost cell with the objective to have the least cost of transportation.
The transportation problem is a special type of linear programming problem where the objective is to minimize the cost of distributing a product from a number of sources or origins to a number of destinations.
Because of its special structure, the usual simplex method is not suitable for solving transportation problems. These problems require a special method of solution.
Vogel’s Approximation Method (VAM),
Step-I: Compute the penalty values for each row and each column. The penalty will be equal to the difference between the two smallest shipping costs in the row or column.
Step-II: Identify the row or column with the largest penalty. Find the first basic variable which has the smallest shipping cost in that row or column. Then assign the highest possible value to that variable, and cross-out the row or column which is exhausted.
Step-III: Compute new penalties and repeat the same procedure until all the rim requirements are satisfied.
Step 1: Compute the penalties in each row and each column .
Step 2: Identify the largest penalty and choose least cost cell to corresponding this penalty.
Step-3: Allocate the amount 5 which is minimum of corresponding row supply and column demand and then cross out column2.
Step-4: Recalculate the penalties.
Step-5: Identify the largest penalty and choose least cost cell to corresponding this penalty.
Step-6: Allocate the amount 5 which is minimum of corresponding row supply and column demand, then cross out column3.
Step-7: Finally allocate the values 0 and 15 to corresponding cells and cross out column 1\
Solution of the problem.
Now the Initial Basic Feasible Solution of the transportation problem is
X11=0, X12=5, X13=5, and X21=15 and
Total transportation cost = (0x6)+(5x7)+(5x8)+(15x15) = 0+35+40+225
= 300.
Why linear programming is a very important topic?
• A lot of problems can be formulated as linear
programmes
• There exist efficient methods to solve them
• or at least give good approximations.
• Solve difficult problems: e.g. original example given
by the inventor of the theory, Dantzig. Best
assignment of 70 people to 70 tasks.
The transportation problem is a special type of linear programming problem where the objective is to minimize the cost of distributing a product from a number of sources or origins to a number of destinations.
Because of its special structure, the usual simplex method is not suitable for solving transportation problems. These problems require a special method of solution.
Vogel’s Approximation Method (VAM),
Step-I: Compute the penalty values for each row and each column. The penalty will be equal to the difference between the two smallest shipping costs in the row or column.
Step-II: Identify the row or column with the largest penalty. Find the first basic variable which has the smallest shipping cost in that row or column. Then assign the highest possible value to that variable, and cross-out the row or column which is exhausted.
Step-III: Compute new penalties and repeat the same procedure until all the rim requirements are satisfied.
Step 1: Compute the penalties in each row and each column .
Step 2: Identify the largest penalty and choose least cost cell to corresponding this penalty.
Step-3: Allocate the amount 5 which is minimum of corresponding row supply and column demand and then cross out column2.
Step-4: Recalculate the penalties.
Step-5: Identify the largest penalty and choose least cost cell to corresponding this penalty.
Step-6: Allocate the amount 5 which is minimum of corresponding row supply and column demand, then cross out column3.
Step-7: Finally allocate the values 0 and 15 to corresponding cells and cross out column 1\
Solution of the problem.
Now the Initial Basic Feasible Solution of the transportation problem is
X11=0, X12=5, X13=5, and X21=15 and
Total transportation cost = (0x6)+(5x7)+(5x8)+(15x15) = 0+35+40+225
= 300.
Why linear programming is a very important topic?
• A lot of problems can be formulated as linear
programmes
• There exist efficient methods to solve them
• or at least give good approximations.
• Solve difficult problems: e.g. original example given
by the inventor of the theory, Dantzig. Best
assignment of 70 people to 70 tasks.
how can I sell pi coins after successfully completing KYCDOT TECH
Pi coins is not launched yet in any exchange 💱 this means it's not swappable, the current pi displaying on coin market cap is the iou version of pi. And you can learn all about that on my previous post.
RIGHT NOW THE ONLY WAY you can sell pi coins is through verified pi merchants. A pi merchant is someone who buys pi coins and resell them to exchanges and crypto whales. Looking forward to hold massive quantities of pi coins before the mainnet launch.
This is because pi network is not doing any pre-sale or ico offerings, the only way to get my coins is from buying from miners. So a merchant facilitates the transactions between the miners and these exchanges holding pi.
I and my friends has sold more than 6000 pi coins successfully with this method. I will be happy to share the contact of my personal pi merchant. The one i trade with, if you have your own merchant you can trade with them. For those who are new.
Message: @Pi_vendor_247 on telegram.
I wouldn't advise you selling all percentage of the pi coins. Leave at least a before so its a win win during open mainnet. Have a nice day pioneers ♥️
#kyc #mainnet #picoins #pi #sellpi #piwallet
#pinetwork
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US Economic Outlook - Being Decided - M Capital Group August 2021.pdfpchutichetpong
The U.S. economy is continuing its impressive recovery from the COVID-19 pandemic and not slowing down despite re-occurring bumps. The U.S. savings rate reached its highest ever recorded level at 34% in April 2020 and Americans seem ready to spend. The sectors that had been hurt the most by the pandemic specifically reduced consumer spending, like retail, leisure, hospitality, and travel, are now experiencing massive growth in revenue and job openings.
Could this growth lead to a “Roaring Twenties”? As quickly as the U.S. economy contracted, experiencing a 9.1% drop in economic output relative to the business cycle in Q2 2020, the largest in recorded history, it has rebounded beyond expectations. This surprising growth seems to be fueled by the U.S. government’s aggressive fiscal and monetary policies, and an increase in consumer spending as mobility restrictions are lifted. Unemployment rates between June 2020 and June 2021 decreased by 5.2%, while the demand for labor is increasing, coupled with increasing wages to incentivize Americans to rejoin the labor force. Schools and businesses are expected to fully reopen soon. In parallel, vaccination rates across the country and the world continue to rise, with full vaccination rates of 50% and 14.8% respectively.
However, it is not completely smooth sailing from here. According to M Capital Group, the main risks that threaten the continued growth of the U.S. economy are inflation, unsettled trade relations, and another wave of Covid-19 mutations that could shut down the world again. Have we learned from the past year of COVID-19 and adapted our economy accordingly?
“In order for the U.S. economy to continue growing, whether there is another wave or not, the U.S. needs to focus on diversifying supply chains, supporting business investment, and maintaining consumer spending,” says Grace Feeley, a research analyst at M Capital Group.
While the economic indicators are positive, the risks are coming closer to manifesting and threatening such growth. The new variants spreading throughout the world, Delta, Lambda, and Gamma, are vaccine-resistant and muddy the predictions made about the economy and health of the country. These variants bring back the feeling of uncertainty that has wreaked havoc not only on the stock market but the mindset of people around the world. MCG provides unique insight on how to mitigate these risks to possibly ensure a bright economic future.
what is the best method to sell pi coins in 2024DOT TECH
The best way to sell your pi coins safely is trading with an exchange..but since pi is not launched in any exchange, and second option is through a VERIFIED pi merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and pioneers and resell them to Investors looking forward to hold massive amounts before mainnet launch in 2026.
I will leave the telegram contact of my personal pi merchant to trade pi coins with.
@Pi_vendor_247
what is the future of Pi Network currency.DOT TECH
The future of the Pi cryptocurrency is uncertain, and its success will depend on several factors. Pi is a relatively new cryptocurrency that aims to be user-friendly and accessible to a wide audience. Here are a few key considerations for its future:
Message: @Pi_vendor_247 on telegram if u want to sell PI COINS.
1. Mainnet Launch: As of my last knowledge update in January 2022, Pi was still in the testnet phase. Its success will depend on a successful transition to a mainnet, where actual transactions can take place.
2. User Adoption: Pi's success will be closely tied to user adoption. The more users who join the network and actively participate, the stronger the ecosystem can become.
3. Utility and Use Cases: For a cryptocurrency to thrive, it must offer utility and practical use cases. The Pi team has talked about various applications, including peer-to-peer transactions, smart contracts, and more. The development and implementation of these features will be essential.
4. Regulatory Environment: The regulatory environment for cryptocurrencies is evolving globally. How Pi navigates and complies with regulations in various jurisdictions will significantly impact its future.
5. Technology Development: The Pi network must continue to develop and improve its technology, security, and scalability to compete with established cryptocurrencies.
6. Community Engagement: The Pi community plays a critical role in its future. Engaged users can help build trust and grow the network.
7. Monetization and Sustainability: The Pi team's monetization strategy, such as fees, partnerships, or other revenue sources, will affect its long-term sustainability.
It's essential to approach Pi or any new cryptocurrency with caution and conduct due diligence. Cryptocurrency investments involve risks, and potential rewards can be uncertain. The success and future of Pi will depend on the collective efforts of its team, community, and the broader cryptocurrency market dynamics. It's advisable to stay updated on Pi's development and follow any updates from the official Pi Network website or announcements from the team.
USDA Loans in California: A Comprehensive Overview.pptxmarketing367770
USDA Loans in California: A Comprehensive Overview
If you're dreaming of owning a home in California's rural or suburban areas, a USDA loan might be the perfect solution. The U.S. Department of Agriculture (USDA) offers these loans to help low-to-moderate-income individuals and families achieve homeownership.
Key Features of USDA Loans:
Zero Down Payment: USDA loans require no down payment, making homeownership more accessible.
Competitive Interest Rates: These loans often come with lower interest rates compared to conventional loans.
Flexible Credit Requirements: USDA loans have more lenient credit score requirements, helping those with less-than-perfect credit.
Guaranteed Loan Program: The USDA guarantees a portion of the loan, reducing risk for lenders and expanding borrowing options.
Eligibility Criteria:
Location: The property must be located in a USDA-designated rural or suburban area. Many areas in California qualify.
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Primary Residence: The home must be used as the borrower's primary residence.
Application Process:
Find a USDA-Approved Lender: Not all lenders offer USDA loans, so it's essential to choose one approved by the USDA.
Pre-Qualification: Determine your eligibility and the amount you can borrow.
Property Search: Look for properties in eligible rural or suburban areas.
Loan Application: Submit your application, including financial and personal information.
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USDA loans are an excellent option for those looking to buy a home in California's rural and suburban areas. With no down payment and flexible requirements, these loans make homeownership more attainable for many families. Explore your eligibility today and take the first step toward owning your dream home.
Poonawalla Fincorp and IndusInd Bank Introduce New Co-Branded Credit Cardnickysharmasucks
The unveiling of the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card marks a notable milestone in the Indian financial landscape, showcasing a successful partnership between two leading institutions, Poonawalla Fincorp and IndusInd Bank. This co-branded credit card not only offers users a plethora of benefits but also reflects a commitment to innovation and adaptation. With a focus on providing value-driven and customer-centric solutions, this launch represents more than just a new product—it signifies a step towards redefining the banking experience for millions. Promising convenience, rewards, and a touch of luxury in everyday financial transactions, this collaboration aims to cater to the evolving needs of customers and set new standards in the industry.
Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...Quotidiano Piemontese
Turin Startup Ecosystem 2024
Una ricerca de il Club degli Investitori, in collaborazione con ToTeM Torino Tech Map e con il supporto della ESCP Business School e di Growth Capital
How to get verified on Coinbase Account?_.docxBuy bitget
t's important to note that buying verified Coinbase accounts is not recommended and may violate Coinbase's terms of service. Instead of searching to "buy verified Coinbase accounts," follow the proper steps to verify your own account to ensure compliance and security.
What website can I sell pi coins securely.DOT TECH
Currently there are no website or exchange that allow buying or selling of pi coins..
But you can still easily sell pi coins, by reselling it to exchanges/crypto whales interested in holding thousands of pi coins before the mainnet launch.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and resell to these crypto whales and holders of pi..
This is because pi network is not doing any pre-sale. The only way exchanges can get pi is by buying from miners and pi merchants stands in between the miners and the exchanges.
How can I sell my pi coins?
Selling pi coins is really easy, but first you need to migrate to mainnet wallet before you can do that. I will leave the telegram contact of my personal pi merchant to trade with.
Tele-gram.
@Pi_vendor_247
Exploring Abhay Bhutada’s Views After Poonawalla Fincorp’s Collaboration With...beulahfernandes8
The financial landscape in India has witnessed a significant development with the recent collaboration between Poonawalla Fincorp and IndusInd Bank.
The launch of the co-branded credit card, the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card, marks a major milestone for both entities.
This strategic move aims to redefine and elevate the banking experience for customers.
The secret way to sell pi coins effortlessly.DOT TECH
Well as we all know pi isn't launched yet. But you can still sell your pi coins effortlessly because some whales in China are interested in holding massive pi coins. And they are willing to pay good money for it. If you are interested in selling I will leave a contact for you. Just telegram this number below. I sold about 3000 pi coins to him and he paid me immediately.
Telegram: @Pi_vendor_247
Even tho Pi network is not listed on any exchange yet.
Buying/Selling or investing in pi network coins is highly possible through the help of vendors. You can buy from vendors[ buy directly from the pi network miners and resell it]. I will leave the telegram contact of my personal vendor.
@Pi_vendor_247
where can I find a legit pi merchant onlineDOT TECH
Yes. This is very easy what you need is a recommendation from someone who has successfully traded pi coins before with a merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi network coins and resell them to Investors looking forward to hold thousands of pi coins before the open mainnet.
I will leave the telegram contact of my personal pi merchant to trade with
@Pi_vendor_247
The Evolution of Non-Banking Financial Companies (NBFCs) in India: Challenges...beulahfernandes8
Role in Financial System
NBFCs are critical in bridging the financial inclusion gap.
They provide specialized financial services that cater to segments often neglected by traditional banks.
Economic Impact
NBFCs contribute significantly to India's GDP.
They support sectors like micro, small, and medium enterprises (MSMEs), housing finance, and personal loans.
The Evolution of Non-Banking Financial Companies (NBFCs) in India: Challenges...
Decision making
1. AN
PRESENTATION
ON
“DECISION MAKING, INTRODUCTION TO LINEAR
PROGRAMMING AND GRAPHICAL SOLUTION”
GUIDED BY,
DR. H. PATHAK PRESENTED BY,
ASSTT.PROFESSOR DWARIKADHISH CHURPAL
DEPT.OF AGRIL.ECONOMICS M.Sc (Ag.) PREVIOUS
COA, RAIPUR AGRIL. ECONOMICS
College of agriculture Raipur
Indira Gandhi Agricultural University, Raipur
2. FARM MANAGEMENT DECISIONS
Farm management implies decision- making process. Several
decisions need to be made by the farmer as a manager in the
organizational of farm business. The management decisions
are broadly classified into organizational management
decisions, administrative decision and marketing management
decisions which are discussed as below:
organizational management decisions
Administrative decision
Marketing management decisions
3. FARM MANAGEMENT DECISIONS
Operational Management Decisions
What to produce?
How to produce?
How much to produce?
Strategic Management Decisions
Size of the farm
Machinery and Labour Programme
Construction of Farm Buildings
Irrigation , Conservation and Reclamation Programmes
4. FARM MANAGEMENT DECISIONS
Administrative Management Decisions
Financing the Farm Business
Financing the Farm Business
Financing the Farm Business
Marketing Management Decisions
Buying
Selling
Management Decisions Problem
5. Introduction to Quantitative analysis
Small size of holdings
Inadequate capital
Lack of Labour
Lack of technology
Marking problem
Quantitative analysis
Introduction :
Quantitative Analysis a scientific approach to managerial
decision making where by raw data are processed and
manipulation resulting in managerial information.
6. Introduction to Quantitative analysis
• Quantitative analysis Approaches
• Defining the problem
• Developing a Models
• Aeqising inputed
• Developing a solution
• Testing the solution
• Analyzing the result
• Implementing the result
7. Introduction to Linear Programming
Linear Programming
Introduction
• Linear programming was developed during World
War II, when a system with which to maximize the e_ciency of
resources was of utmost importance.
• New War-related projects demanded attention and spread
resources thin. Programming"
• Was a military term that referred to activities such as planning
schedules?
8. Introduction to Linear Programming
Definition:
Linear programming is a mathematical
technique to optimize performance (eg profit or cost)
under a set resources constraints (eg machine hours,
man hours, money material etc.) as specified by an
organization.
9. Introduction to Linear Programming
Concept
Decision variable
Objective function coefficient
Technological coefficient
Availability of resources
10. Introduction to Linear Programming
Assumptions
Certainty
Linearity
Proportionality
Additivity
Multiplictivity
Divisibility (Continuity)
Non negative Constance
11. Introduction to Linear Programming
• General Mathematical Model of an LPP
• Optimize (Maximize or Minimize) Z=C1 X1 + C2 X2
+……+CnXn
• Subject to constraints,
• a11X1+ a 12X2+………………+ a 1nXn (<,=,>) b1
• a21X1+ a 22X2+………………+ a 2nXn (<,=,>) b2
• a31X1+ a 32X2+………………+ a 3nXn (<,=,>) b3
• am1X1+ a m2X2+………………+ a mnXn (<,=,>)
bm
• and X1, X2 ….Xn >
12. Introduction to Linear Programming
Guidelines for formulating Linear Programming model
i) Identify and define the decision variable of the problem
ii) Define the objective function
iii) State the constraints to which the objective function should be
optimized (i.e. Maximization or Minimization)
iv) Add the non-negative constraints from the consideration that
the negative values of the decision variables do not
have any valid physical interpretation
13. Introduction to Linear Programming
Terminology:
The function to be maximized or minimized is called the
objective function.
A vector, x for the standard maximum problem or y for the
standard minimum problem, is said to be feasible if it satisfies
the corresponding constraints.
The set of feasible vectors is called the constraint set.
A linear programming problem is said to be feasible if the
constraint set is not empty; otherwise it is said to be infeasible.
14. Introduction to Linear Programming
• A feasible maximum (resp. minimum) problem is said to
be unbounded if the objective function can assume
arbitrarily large positive (resp. negative) values at feasible
vectors; otherwise, it is said to be bounded. Thus there
are three possibilities for a linear programming problem.
It may be bounded feasible, it may be unbounded
feasible, and it may be infeasible.
• The value of a bounded feasible maximum (resp,
minimum) problem is the maximum (resp. minimum)
value of the objective function as the variables range over
the constraint set.
• A feasible vector at which the objective function achieves
the value is called optimal
15. Graphical solution
Example -
Solve the following LPP by graphical method
Minimize Z = 20X1 + 40X2
Subject to constraints
36X1 + 6X2 ≥ 108
3X1 + 12X2 ≥ 36
20X1 + 10X2 ≥ 100
X1 X2 ≥ 0
16. Graphical solution
Solution:
The first constraint 36X1 + 6X2 ≥ 108 can be represented as follows.
We set 36X1 + 6X2 = 108
When X1 = 0 in the above constraint, we get
36 x 0 + 6X2 = 108
X2 = 108/6 = 18
Similarly when X2 = 0 in the above constraint, we get,
36X1 + 6 x 0 = 108
X1 = 108/36 = 3
The second constraint3X1 + 12X2 ≥ 36 can be represented as follows,
We set 3X1 + 12X2 = 36
When X1 = 0 in the above constraint, we get,
3 x 0 + 12X2 = 36
X2 = 36/12 = 3
17. Graphical solution
Similarly when X2 = 0 in the above constraint, we get,
3X1 + 12 x 0 = 36
X1 = 36/3 = 12
The third constraint20X1 + 10X2 ≥ 100 can be represented as
follows,
We set 20X1 + 10X2 = 100
When X1 = 0 in the above constraint, we get,
20 x 0 + 10X2 = 100
X2 = 100/10 = 10
Similarly when X2 = 0 in the above constraint, we get,
20X1 + 10 x 0 = 100
X1 = 100/20 = 5
19. Graphical solution
Point X1 X2 Z = 20X1 + 40X2
0 0 0 0
A 0 18 Z = 20 x 0 + 40 x 18 = 720
B 2 6 Z = 20 x2 + 40 x 6 = 280
C 4 2 Z = 20 x 4 + 40 x 2 = 160*
Minimum
D 12 0 Z = 20 x 12 + 40 x 0 = 240
The Minimum cost is at point C
When X1 = 4 and X2 = 2
Z = 160
20. Graphical solution
Example.
Solve the following LPP by graphical method
Maximize Z = 2.80X1 + 2.20X2
Subject to constraints
X1 ≤ 20,000
X2 ≤ 40,000
0.003X1 + 0.001X2 ≤ 66
X1 + X2 ≤ 45,000
X1 X2 ≥ 0
21. Graphical solution
Solution:
The first constraint X1 ≤ 20,000 can be represented as follows.
We set X1 = 20,000
The second constraint X2 ≤ 40,000 can be represented as follows,
We set X2 = 40,000
The third constraint 0.003X1 + 0.001X2 ≤ 66 can be represented as follows,
We set 0.003X1 + 0.001X2 = 66
When X1 = 0 in the above constraint, we get,
0.003 x 0 + 0.001X2 = 66
X2 = 66/0.001 = 66,000
Similarly when X2 = 0 in the above constraint, we get,
0.003X1 + 0.001 x 0 = 66
X1 = 66/0.003 = 22,000
22. Graphical solution
The fourth constraint X1 + X2 ≤ 45,000 can be represented as
follows,
We set X1 + X2 = 45,000
When X1 = 0 in the above constraint, we get,
0 + X2 = 45,000
X2 = 45,000
Similarly when X2 = 0 in the above constraint, we get,
X1 + 0 = 45,000
X1 =45,000
24. Point X1 X2 Z = 2.80X1 + 2.20X2
0 0 0 0
A 0 40,000 Z = 2.80 x 0 + 2.20 x 40,000 =88,000
B 5,000 40,000
Z = 2.80 x 5,000 + 2.20 x 40,000 =
1,02,000
C 10,500 34,500
1,05,300* Maximum
D 20,000 6,000
Z = 2.80 x 20,000 + 2.20 x 6,000 =69,200
E 20,000 0 Z = 2.80 x 20,000 + 2.20 x 0 = 56,000
26. Formulation of LPP
Example 1.
A manufacturer produces two types of models M1 and M2.Each
model of the type M1requires 4 hours of grinding and 2 hours
of polishing; where as each model of M2requires 2 hours of
grinding and 5 hours of polishing. The manufacturer has 2
grinder sand 3 polishers. Each grinder works for 40 hours a
week and each polisher works 60hours a week. Profit on M1
model is Rs.3.00 and on model M2 is Rs.4.00.Whatever
produced in a week is sold in the market. How should the
manufacturer allocate his production capacity to the two types
of models, so that he makes maximum profit in a week?
27. Formulation of LPP
i) Identify and define the decision variable of the problem
Let X1 and X2 be the number of units of M1 and M2 model.
ii) Define the objective function
Since the profits on both the models are given, the objective
function
is to maximize the profit.
Max Z = 3X1 + 4X2
iii) State the constraints to which the objective function should be
optimized (i.e.Maximization or Minimization)
There are two constraints one for grinding and the other for
polishing.
The grinding constraint is given by
4X1 + 2X2 < 80
28. Formulation of LPP
No of hours available on grinding machine per week is 40 hrs.
There are two grinders.
Hence the total grinding hour available is 40 X 2 = 80 hours.
The polishing constraint is given by
2X1 + 5X2 < 180
No of hours available on polishing machine per week is 60 hrs.
There are three grinders.
Hence the total grinding hour available is 60 X 3 = 180 hours
29. Formulation of LPP
Finally we have,
Max Z = 3X1 + 4X2
Subject to constraints,
4X1 + 2X2 < 80
2X1 + 5X2 < 180
X1, X2 > 0
30. Formulation of LPP
Example 2.
A firm is engaged in producing two products. A and B. Each
unit of product A requires 2kg of raw material and 4
labour hours for processing, where as each unit of B
requires 3kg of raw materials and 3 labour hours for the
same type. Every week, the firm has an availability of 60
kg of raw material and 96 labour hours. One unit of
product A sold yields Rs.40 and one unit of product B
sold gives Rs.35 as profit.
Formulate this as an Linear Programming Problem to
determine as to how many units of each of the products
should be produced per week so that the firm can earn
maximum profit.
31. Formulation of LPP
i) Identify and define the decision variable of the problem
Let X1 and X2 be the number of units of product A and product B
produced per week.
ii) Define the objective function
Since the profits of both the products are given,
the objective function is to maximize the profit.
MaxZ = 40X1 + 35X2
iii) State the constraints to which the objective function should be
optimized (i.e.Maximization or Minimization)
32. Formulation of LPP
There are two constraints one is raw material constraint and the other
one is labourconstraint..
The raw material constraint is given by
2X1 + 3X2 < 60
The labour hours constraint is given by
4X1 + 3X2 < 96
Finally we have,
Max Z = 40X1 + 35X2
Subject to constraints,
2X1 + 3X2 < 60
4X1 + 3X2 < 96
X1, X2 > 0