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Introduction to Management Science, Lecture notes of Management Accounting

Introduction to Management Science

Typology: Lecture notes

2024/2025

Available from 05/07/2025

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Management Science
Introduction to Management Science
Management - managing the organization
Science - Analytical, systematic way
Management science - is defined as helping people make
better decisions. It is also known as Operational Research.
It applies advanced analytical methods to business
decision problems
History of Management Science
United Kingdom World War II (1939-1945)
The UK government applies science in fighting a
war. They use the knowledge of different scientists
in their respective fields to know what is the most
effective strategies are to use, especially for
military defense. With this, the UK won.
1948
Operational Research Club of Great Britain.
They continue the operational research.
1953
Operational Research Club becomes OR Society.
It became a society, and it expanded. Its focus
is not only in military defense anymore but also
in economics, financial problem, and etc. Many
countries also started to adapt management
science.
1951
First Masters and Pd.D academic programmes in
OR were established at Case Institute, Cleveland
Ohio
1959
International Federation of Operational
Research societies was founded
Management Science Applications
Assignment
•assign resources to
specific tasks.
•to minimized costs or
maximize return or
profit
Data Mining
collection of data and
data analysis
Financial Decision Making
•credit scoring
portfolio management
Foreca sting
predicting future
quantitatively and
qualitatively
Logistics
•organization's supply
chain
Networks
•interconnected group
or system of things
network to function
effectively
Management Science Applications
Marketing
mixture of different
marketing strategy.
Optimization
bring out the best
maximize profit
minimize cost
Project Planning and
Management
•project scheduling
Queueing
•waiting in lines
Simulation
use of tools to analyze
outcomes
Transportation
transfer from one place to
another
MS Approach
Step 1: problem recognition
realize that a problem exists that requires a decision
monitoring and observation
Step 2: problem structuring and definition
structure the problem
problem is properly understood
define the problem to be investigated and agree the overall
purpose and specific aims
client should be involved
Step 4: solutions and recommendations
offer solutions and recommendations
manager still has the final say
Step 5: implementation
managerial action but with guidance of management scientist
include users throughout the modeling processes
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Management Science

Introduction to Management Science Management - managing the organization Science - Analytical, systematic way Management science - is defined as helping people make better decisions. It is also known as Operational Research. It applies advanced analytical methods to business decision problems History of Management Science United Kingdom World War II (1939-1945) The UK government applies science in fighting a war. They use the knowledge of different scientists in their respective fields to know what is the most effective strategies are to use, especially for military defense. With this, the UK won. 1948 Operational Research Club of Great Britain. They continue the operational research. 1953 Operational Research Club becomes OR Society. It became a society, and it expanded. Its focus is not only in military defense anymore but also in economics, financial problem, and etc. Many countries also started to adapt management science. 1951 First Masters and Pd.D academic programmes in OR were established at Case Institute, Cleveland Ohio 1959 International Federation of Operational Research societies was founded Management Science Applications Assignment

  • assign resources to specific tasks.
  • to minimized costs or maximize return or profit Data Mining - collection of data and data analysis Financial Decision Making
  • credit scoring
  • portfolio management Forecasting
    • predicting future quantitatively and qualitatively Logistics
  • organization's supply chain Networks - interconnected group or system of things - network to function effectively Management Science Applications Marketing - mixture of different marketing strategy. Optimization - bring out the best - maximize profit - minimize cost Project Planning and Management
  • project scheduling Queueing
  • waiting in lines Simulation
  • use of tools to analyze outcomes Transportation
  • transfer from one place to another MS Approach Step 1: problem recognition
  • realize that a problem exists that requires a decision
  • monitoring and observation Step 2: problem structuring and definition
  • structure the problem
  • problem is properly understood
  • define the problem to be investigated and agree the overall purpose and specific aims
  • client should be involved Step 4: solutions and recommendations
  • offer solutions and recommendations
  • manager still has the final say Step 5: implementation
  • managerial action but with guidance of management scientist
  • include users throughout the modeling processes

MS Models Iconic models - physical replicas Mathematical models - quantitative approach to decision making P = profit x = number of units sold 10 = selling price per unit P and x are variables P is a dependent variable. x is an independent variable 10 is a parameter Exact numerical value can vary Value depends on x Value does not depend on another variable Constant value

Cost-Volume Analysis

((x) =^3000 +2x

> unit produced :^500

((x) =^3000 +^ 21580) = (^3) , 000 + (^1) , 000 C(x) =^1 , (^000) // 7 unit^ produced :^200 ((X) = 3 , 000 +^ 2(200) = (^3) , 000 + (^400) C(x) =^3 , 400/ & cost :^10 , 000 10 , 000 =^3 , 000 +^ 2x (^2) x = (^10) , 000 - (^3) , 000 2x =^7 , 000 X =^3 , 500 11

& variable cost increased by 2

cost :^700 C(x7 = (^3) , 000 + (^) 4( C(X) =^3 ,^000 +^2 , 800 ((x) =^5 , 800

Marginal cost

((x) =^3 ,^000 +^ 2(500)^ ((x)^ =^3000 +^ 2(501) : (^3) , 000 + (^1) , 000 : (^3) , 000 + (^1) , 002 ((X) = 4 , 000 ((x) =^4 , 002

marginal cost^

Profit & Volume Analysis

P(x) = R(x) - ((x) V ↓ ↓ Profit Revenue cost P(x) =^ 5x^ - 13000 +^ 2x) (^7) unit sold :^500 P(x) =^ 5(500)^ - (^13) , 000 + 2(5001) = (^2) , 500 - 13 , 000 + (^1) , 000) = (^2) , 500 - (^1) /, 000

P(X) =^ (1,^ 500)^ //

7 Unit^ sold :^2 , 000 P(x) =^ 5(2, 000) - (3, 000 +^ 2(2 (^) , 0001) = (^10) , 000 - 13 ,^000 +^4 , 000)

  • (^10) , 000 - (^7) , 000 P(X) =^3 ,000/

7 profit :^10 , 000

(^10) , 000 :^ 5x -^13 , 000 + 2x) (^10) , 000 = 3x - 3 , 000 3x =^13 , 000

X =^4 ,^373.^ 33//