This document discusses various applications of linear programming (LP) in areas such as marketing, finance, and operations management. In marketing, LP can be used for media selection and marketing research problems. It provides examples of using LP to determine an optimal advertising plan that maximizes exposure quality within a budget. In finance, LP is used for portfolio selection and financial planning problems. Operations management applications covered include make-or-buy decisions, production scheduling, workforce assignment, and blending problems.
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.
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.
The capital which is needed for the regular operation of business is called working capital. 1- for the purchase of raw materials
2- for the payment of wages
3- payment of rent and of other expenses
Working capital is kept in the form of cash, debtors, raw materials inventory, stock of finished goods, bills receivable etc.
Size Of Business
Nature Of Business
Storage Period
Credit Period
Seasonal Requirement
Potential Growth Or Expansion Of Business
Changes In Price Level
Dividend Policy
Working Capital Cycle
Operating Efficiency
Other Factors
Working capital requirement of a firm is directly influenced by the size of its business operation.
Big business organizations require more working capital than the small business organization.
Working capital requirement depends also upon the nature of business carried by the firm. Normally, manufacturing industries and trading organizations need more working capital than in the service business organizations.
A service sector does not require any amount of stock of goods. But in the manufacturing or trading firm, credit sales and advance related transactions are in large amount.
Time needed for keeping the stock in store is called storage period. The amount of working capital is influenced by the storage period. If storage period is high A firm should keep more quantity of goods in store and hence requires more working capital. if the storage Period is less , then more stock of goods must be held in store as work-in-progress.
This presentation is trying to explain the Linear Programming in operations research. There is a software called "Gipels" available on the internet which easily solves the LPP Problems along with the transportation problems. This presentation is co-developed with Sankeerth P & Aakansha Bajpai.
By:-
Aniruddh Tiwari
Linkedin :- http://in.linkedin.com/in/aniruddhtiwari
This PPT contains the full detail of topic leverage in financial management
it covers following topics :-
Meaning of Leverage
Types of Leverage
Operating Leverage
Financial Leverage
Difference between Operating & Financial Leverage
Combined Leverage
Illustrations
Exercise
Linear programming
Application Of Linear Programming
Advantages Of L.P.
Limitation Of L.P.
Slack variables
Surplus variables
Artificial variables
Duality
The capital which is needed for the regular operation of business is called working capital. 1- for the purchase of raw materials
2- for the payment of wages
3- payment of rent and of other expenses
Working capital is kept in the form of cash, debtors, raw materials inventory, stock of finished goods, bills receivable etc.
Size Of Business
Nature Of Business
Storage Period
Credit Period
Seasonal Requirement
Potential Growth Or Expansion Of Business
Changes In Price Level
Dividend Policy
Working Capital Cycle
Operating Efficiency
Other Factors
Working capital requirement of a firm is directly influenced by the size of its business operation.
Big business organizations require more working capital than the small business organization.
Working capital requirement depends also upon the nature of business carried by the firm. Normally, manufacturing industries and trading organizations need more working capital than in the service business organizations.
A service sector does not require any amount of stock of goods. But in the manufacturing or trading firm, credit sales and advance related transactions are in large amount.
Time needed for keeping the stock in store is called storage period. The amount of working capital is influenced by the storage period. If storage period is high A firm should keep more quantity of goods in store and hence requires more working capital. if the storage Period is less , then more stock of goods must be held in store as work-in-progress.
This presentation is trying to explain the Linear Programming in operations research. There is a software called "Gipels" available on the internet which easily solves the LPP Problems along with the transportation problems. This presentation is co-developed with Sankeerth P & Aakansha Bajpai.
By:-
Aniruddh Tiwari
Linkedin :- http://in.linkedin.com/in/aniruddhtiwari
This PPT contains the full detail of topic leverage in financial management
it covers following topics :-
Meaning of Leverage
Types of Leverage
Operating Leverage
Financial Leverage
Difference between Operating & Financial Leverage
Combined Leverage
Illustrations
Exercise
Linear programming
Application Of Linear Programming
Advantages Of L.P.
Limitation Of L.P.
Slack variables
Surplus variables
Artificial variables
Duality
Financial Assets Management Kpi And Dashboard PowerPoint Presentation SlidesSlideTeam
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Make sure to impress your shareholders with this standard board deck for SaaS companies.
See details on Medium :
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Income Statement Reporting Challenges with BI Tools: Helping IT and Finance t...Senturus
Use Cognos BI tools to maximize income statement reporting for finance and IT teams. View the webinar video recording and download this deck: http://www.senturus.com/resources/income-statement-reporting-challenges-bi-tools/,
Issues addressed include: 1) The need for both revenue and expenses to be displayed as positive numbers in the income statement; 2) The need to compare budget vs. actual with flexibility to choose which budget version to use and 3) The need to display positive variances as favorable in some cases, and as unfavorable in others.
We also share tips and techniques for configuring IBM Cognos Transformer models to enhance OLAP-based income statement reporting and ad hoc analysis.
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Cyberspace is a domain characterized by the use of electronics and the electromagnetic spectrum to store, modify, and exchange data via networked systems and associated physical infrastructures.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
2. What is LP Applications
Most successful quantitative approach to
decision making, also have been reported
almost every industry. Application includes
Production Scheduling
Media Selection
Financial Planning
Capital Budgeting
Transportation
Distribution System Design
Staffing
4. What is Marketing
Marketing is
communicating the value
of a product, service or
brand to customers, for
the purpose of
promoting or selling that
product, service, or
brand.
6. Media Selection
Help marketing managers to allocate a fixed
advertising budget to various advertising media.
Media includes
Newspapers
Magazines
Radio
Television
Direct Mail
9. Relax-and-Enjoy Lake Development
Corporation
Advertising Media
No. of
Potential
Customer
Reached
Cost ($) per
Advertiseme
nt
Maximum
Time
Available
per Month
Exposure
Quality
Units
Daytime TV (1 min),
station WKLA
1000 1500 15 65
Evening TV (30 sec),
station WKLA
2000 3000 10 90
Daily Newspaper (full
page), The Morning
Journal
1500 400 25 40
Sunday Newspaper
magazine (1/2 page color),
The Sunday Press
2500 1000 4 60
Radio, 8:00 AM or 5:00 PM
news (30 sec), station
KNOP
300 100 30 20
10. Decision Variables
DTV = number of times daytime TV is used
ETV = number of time evening TV is used
DN = number of time daily newspaper is used
SN = number of time Sunday newspaper is
used
R = number of times radio is used
11. Objective Function
With the objective of maximizing the total
exposure quality units for the overall media
selection plan, the objective function becomes
Max 65DTV+90ETV+40DN+60SN+20R
18. Marketing Research Firms
Specialized in marketing research for client
organization. Services they offer includes:
Designing the Study
Conducting Market Surveys
Analyzing the Data Collected
Providing Summary Reports &
Recommendations
19. Market Survey, Inc.
1. Interview at least 400 households with children.
2. Interview at least 400 households without
children.
3. The total number of households interviewed
during the evening must be at least as great as
the number of households interviewed during the
day.
4. At least 40% of the interviews for households
with children must be conducted during the
evening.
5. At least 60% of the interviews for households
without children must be conducted during the
21. Decision Variables
DC = the number of daytime interviews of
households with children
EC = the number of evening interviews of
households with children
DNC = the number of daytime interviews of
households without children
ENC = the number of evening interviews of
households without children
23. Formulate Constraints
1. DC + EC + DNC + ENC = 1000
2. DC + EC ≥ 400
3. DNC + ENC ≥ 400
4. EC + ENC ≥ DC + DNC
The usual format for linear programming model
formulation places all decision variables on the left side
of the inequality and a constant (possibly zero) on the
right side. Thus, we rewrite this constraint as
4. – DC + EC – DNC + ENC ≥ 0
25. Interview Schedule
Number of Interviews
Household Day Evening Totals
Children 240 160 400
No Children 240 360 600
Totals 480 520 1000
26. Financial Application
In finance, linear programming can be applied in
problem situations involving:
Capital Budgeting
Make-or-Buy Decisions
Asset Allocation
Portfolio Selection
Financial Planning, and many more.
28. Portfolio Selection
Portfolio selection
problems involve situations
in which a financial
manager must select
specific investments for
example stocks and bonds
from a variety of
investment alternatives.
29. Objective Function
The objective function for portfolio
selection problems usually is maximization
of expected return or minimization of risk.
30. Constraints
The constraints usually reflect restrictions on the
type of
Permissible Investments
State Laws
Company Policy
Maximum Permissible Risk, and so on.
31. Welte Mutual Funds, Inc.
Projected Rate of Return
Investment (%)
Atlantic Oil 7.3
Pacific Oil 10.3
Midwest Steel 6.4
Huber Steel 7.5
Government Bonds 4.5
32. Decision Variables
A = dollars invested in Atlantic Oil
P = dollars invested in Pacific Oil
M = dollars invested in Midwest Steel
H = dollars invested in Huber Steel
G = dollars invested in government bonds
34. Linear Programming Model
1. A + P + M + H + G = 100,000
2. A + P ≤ 50,000
3. M + H ≤ 50,000
4. -0.25M - 0.25H + G ≥ 0
5. -0.6A + 0.4P ≤ 0
A, P, M, H, G ≥ 0
36. Financial Planning
Financial Planning is an ongoing process to help
you make sensible decisions about money that
can help you achieve your goals in life.
37. Hewlitt Corporation
Year 1 2 3 4 5 6 7 8
Cash Requirements 430 210 222 231 240 195 225 255
The cash requirements (in thousands of dollars) are
due at the beginning of each year.
39. Decision Variables
F = total dollars required to meet the retirement plan’s
eight- year obligation
B1 = units of bond 1 purchased at the beginning of year 1
B2 = units of bond 2 purchased at the beginning of year 1
B3 = units of bond 3 purchased at the beginning of year 1
Si = amount placed in savings at the beginning of year i for
I = 1, . . . , 8
40. Objective Function
The objective function is to minimize the total
dollars needed to meet the retirement plan’s
eight-year obligation, or
Min F
41. General Form of Constraint
Funds available
at the beginning
of the year
-
Funds invested
in bonds and
placed in
savings
=
Cash obligation
for the current
year
42. Constraint of Each Year
F - 1.15B1 - 1B2- 1.35B3 - S1 = 430
Year 1
0.08875B1+0.055B2+0.1175B3+1.04S1-S2 = 210 Year
2
0.08875B1+0.055B2+0.1175B3+1.04S2-S3 = 222 Year
3
0.08875B1+0.055B2+0.1175B3+1.04S3-S4 = 231 Year
4
0.08875B1+0.055B2+0.1175B3+1.04S4-S5 = 240 Year
5
1.08875B1+0.055B2+0.1175B3+1.04S5-S6 = 195 Year
6
43. Optimal Solution
Bond Units Purchased Investment Amount
1 B1=144.988 $1150(144.988)=$166,736
2 B2=187.856 $1000(187.856)=$187,856
3 B3=228.188 $1350(228.188)=$308,054
44. Operation Management
Applications
Managing and directing the physical and/or
technical functions of a firm or organization,
particularly those relating to
Development
Production
Manufacturing
45. What we’ll cover
Make-or-Buy Decision
Production Scheduling
Workforce Assignment
Blending Problems
46. Make-or-Buy Decision
It determine how much of each of several
component parts a company should
manufacture and how much it should purchase
from an outside supplier.
47. Production Scheduling
Establish an efficient low-cost production
schedule for one or more products over several
time periods (weeks or months)
48. Advantages
Can help to smooth the demand signal
Protects lead time and helps book future
deliveries
Acts as a single communication tool to the
business
Helps the Supply chain prioritize requirement
Helps stabilize production
50. Workforce Assignment
Workforce assignment problems frequently
occur when production managers must make
decisions involving staffing requirements for a
given planning period.
51. Blending Problems
Blending problems arise whenever a manager
must decide how to blend two or more resources
to produce one or more products.