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BQB 2113 Management Science

This document provides an introduction to management science concepts including problem solving, quantitative analysis, and models of cost, revenue, and profit. It outlines the quantitative approach to decision making in management science and its areas of application. The key steps in quantitative analysis and problem solving are defined. Concepts like decision variables, objectives, and constraints are introduced. Finally, models of costs, revenues, profits, and break-even analysis are explained.

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0% found this document useful (1 vote)
146 views17 pages

BQB 2113 Management Science

This document provides an introduction to management science concepts including problem solving, quantitative analysis, and models of cost, revenue, and profit. It outlines the quantitative approach to decision making in management science and its areas of application. The key steps in quantitative analysis and problem solving are defined. Concepts like decision variables, objectives, and constraints are introduced. Finally, models of costs, revenues, profits, and break-even analysis are explained.

Uploaded by

AtieyChentaQaseh
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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BQB 2113

MANAGEMENT SCIENCE
CHAPTER 1

INTRODUCTION TO
MANAGEMENT SCIENCE

Courseware :
Go to VOISS>>BQB2113>> Courseware>> Web courseware
OUTLINE

 Management Science (MS) : Definition and


Concepts
 Problem Solving and Decision Making
 Quantitative Analysis and Decision Making
 Model of Cost, Revenue and Profit
 Exercise
What Is Management Science?
 Quantitative approach to decision making
 Based on the scientific method of problem solving
 Areas of application : forecasting, capital budgeting,
capacity planning, scheduling, inventory
management, project management & production
planning.
 Synonymous with operation research and decision
science
 Brief history of management science
What Is Management Science?
• Scientific Management Revolution

Scientific Management Revolution

Early 1900s

World War II

Dantzig, 1947

Computer Software
Problem Solving and Decision Making
 What is problem solving ?
 Process of identifying a difference between the actual and desired
state of affairs and taking action to resolve the difference
 7 Steps in Problem Solving
 Identify and define the problem.
 Determine the set of alternative solutions.
Decision Making
 Determine the criteria for evaluating the alternatives.
 Evaluate the alternatives.
 Choose an alternative.
 Implement the chosen alternative.
 Evaluate the results
 Example:
You are currently unemployed. You have received offers from
the companies in 3 different locations : KL, JB, Penang.
Quantitative Analysis and Decision Making

 Qualitative Analysis
 based on judgement and experience

 Quantitative Analysis Process


Model Development

Data Preparation

Model Solution

Report generation &


implementation
Quantitative Analysis and Decision Making

 Qualitative VS Quantitative Analysis

Qualitative Approach Quantitative Approach


1. Problem is simple 1. A problem is complex
2. Problem is familiar 2. Problem is not familiar
3. Cost are not great 3. Cost are substantial
4. Immediate decision are needed 4. Enough time to analyze
Quantitative Analysis and Decision Making
 Quantitative Analysis Process
Step 1 : Model Development
 definition: representation of real objects
 Iconic Model: replicas of real objects, eg:airplane, truck
 Analog model : do not have the same physical
appearance as the object being modeled. Eg:thermometer
 Mathematical Model : quantitative approach to decision
making
 Example: Assume that shop XYZ sold only 2 products, x1 & x2.
The products are sold with a profit of RM5 for unit X1 and RM
8 for unit X2 . Mathematical model=?
 If x1=10, x2=20, total profit =? X = No. of units sold
Step 1 : Model Development
 objective function Profit = 5x1 + 8x2
 maximize profit or minimize cost
 decision variables/controllable inputs
 inputs that are controlled by the decision maker. Eg:
 uncontrollable inputs (Environmental factors)
 inputsthat the decision maker cannot influence. Eg:profit
 deterministic model : if the uncontrollable input are known and
cannot vary. Eg: corporate income taxes
 stochastic model : if the uncontrollable input are uncertain and
subject to variation Eg : DD for a product
 constraints
 Restriction on the resources available to a firm.Eg: 5 hours are
required to produce each unit and only 40 hours are available
per unit.
Step 1 : Model Development

Transforming Model Inputs into Outputs

Uncontrollable Inpus
(Environmental Factors)

Controllable Inputs Mathematical Output


(Decision Variables) Model (Projected Results)
Step 1 : Model Development
 Exercise: A construction company build a 250 unit
complex. The project consists of hundreds of activities
involving excavating, framing, wiring, plastering,
painting, landscaping etc. Some of the activities must
be done sequentially and other can be done
simultaneously.
 Q1: How could management science be used to solve
this problem ?
 Q2 : What would be the :
 uncontrollable inputs
 decision variables
 Objective function
 Constraints
Quantitative Analysis Process

 Step 2 : Data Preparation


 refer to the values of unknown uncontrollable inputs
 Step 3 : Model Solution Profit = 5x1 + 8x2
 Identify the decision variables that provide best
output
 Trial & error or special solution procedures

 Step 4 : Report Generation & implementation


 Managerial report based on model solution
 include recommended decision & other pertinent
information
Model of Cost, Revenue and Profit
(Component of Break-even Analysis)
 Volume
 levelof output of a machine, department, or organization or the
quantity of sales
 expressed as number of units that are produced or sold

 Revenue
 income generated by the sale of a product
 Total revenue = selling price per unit (P) X no. of units (Q)
 eg:
P
TR

0 Q
Model of Cost, Revenue and Profit
(Component of Break-even Analysis)
 Costs
 fixed costs : cost that are not related to the volume of output.
Eg: rental
 Variable cost : expenses that vary with volume. Eg: raw material
 Total costs : Fixed cost + Variable cost
TC
P
P P
TVC
FC

0 Q 0 Q
0 Q
Model of Cost, Revenue and Profit
(Component of Break-even Analysis)

 Profits
 Profit = Total revenue - (Fixed cost + Total variable cost)
 Graph

Break even point (TR = TC)


 volume for which total revenue and total cost are equal
 to break even, profit must be equal to zero
 QBEP = FC / [R per unit -VC per unit]
Model of Cost, Revenue and Profit
(Component of Break-even Analysis)

 Exercise
 Example : The Exxoff Corporation produces an automotive
lubricant that is sold to wholesale distributors for $25 a case.
Fixed costs are $80,000 and variable costs are $15 per case.

 What is the total cost if 1,000 cases are sold?

 What is the break-even volume if 1,000 cases are sold?

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