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BJQP 2023 MANAGEMENT SCIENCE Semester 2, 2013/2014 INTRODUCTION TO MANAGEMENT SCIENCE DR. SANUSI Y. K Room No: 4063 Phon No: 016-4537265 Email: [email protected]

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Page 1: 1. Chp1 Introduction

BJQP 2023 MANAGEMENT SCIENCESemester 2, 2013/2014

INTRODUCTION TO MANAGEMENT SCIENCE

DR. SANUSI Y. K

Room No: 4063

Phon No: 016-4537265

Email: [email protected]

Page 2: 1. Chp1 Introduction

Chapter Topics:

The Management Science Approach to Problem Solving

Model Building: Break-Even Analysis

Management Science Modeling Techniques

Business Usage of Management Science Techniques

Page 3: 1. Chp1 Introduction

The Management Science Approach

Management science uses a scientific approach to solving management problems.

It is used in a variety of organizations to solve many different types of problems.

It encompasses a logical mathematical approach to problem solving.

Management science, also known as operations research, quantitative methods, etc., involves a philosophy of problem solving in a logical manner

Page 4: 1. Chp1 Introduction

The Management Science Process

Page 5: 1. Chp1 Introduction

Steps in the Management Science Process

Observation - Identification of a problem that exists (or may occur soon) in a system or organization.

Definition of the Problem - problem must be clearly and consistently defined, showing its boundaries and interactions with the objectives of the organization.

Model Construction - Development of the functional mathematical relationships that describe the decision variables, objective function and constraints of the problem.

Model Solution - Models solved using management

science techniques. Model Implementation - Actual use of the model or

its solution.

Page 6: 1. Chp1 Introduction

Example of Model Construction

Information and Data: Business firm makes and sells a steel product Product costs $5 to produce Product sells for $20 Product requires 4 pounds of steel to make Firm has 100 pounds of steel

Business Problem: Determine the number of units to produce

to make the most profit, given the limited amount of steel available.

Page 7: 1. Chp1 Introduction

Example of Model Construction

Variables: X = # units to produce (decision variable)

Z = total profit (in $)

Model: Z = $20X - $5X (objective function)

4X = 100 lb of steel (resource constraint)

Parameters: $20, $5, 4 lbs, 100 lbs (known values)

Formal Specification of Model:

maximize Z = $20X - $5X

subject to 4X = 100

Page 8: 1. Chp1 Introduction

Example of Model Construction

Model solution?

Page 9: 1. Chp1 Introduction

Model Building:Break-Even Analysis (1 of 6)

■Used to determine the number of units of a product to sell or produce that will equate total revenue with total cost.

■The volume at which total revenue equals total cost is called the break-even point.

■Profit at break-even point is zero.

Page 10: 1. Chp1 Introduction

Model Building:Break-Even Analysis (2 of 6)

Model Components:

Fixed Cost (cf) - costs that remain constant

regardless of number of units

produced.

Variable Cost (cv) - unit production cost of product.

Volume (v) - the number of units produced or sold

Total variable cost (vcv) - function of volume (v)

and unit variable cost.

Page 11: 1. Chp1 Introduction

Model Building:Break-Even Analysis (3 of 6)

Model Components

Total Cost (TC) - total fixed cost plus total

variable cost.

Profit (Z) - difference between total revenue vp

(p = unit price) and total cost, i.e.

vf vccTC

vf - vc vp - cZ

Page 12: 1. Chp1 Introduction

Model Building:Break-Even Analysis (4 of 6)

Computing the Break-Even Point

The break-even point is that volume at which total revenue equals total cost and profit is zero:

v

f

fv

vf

cp

cv

ccpv

vccvp

)(

0

The break-even point:

Page 13: 1. Chp1 Introduction

Model Building:Break-Even Analysis (5 of 6)

Example: Aminah Clothing Company

Fixed Costs: cf = $10000

Variable Costs: cv = $8 per pair

Price : p = $23 per pair

The Break-Even Point is??

Page 14: 1. Chp1 Introduction

Model Building:Break-Even Analysis (6 of 6)

Page 15: 1. Chp1 Introduction

Characteristics of Modeling Techniques Linear Mathematical Programming - clear

objective; restrictions on resources and requirements; parameters known with certainty.

Probabilistic Techniques - results contain uncertainty.

Network Techniques - model often formulated as diagram; deterministic or probabilistic.

Other Techniques - variety of deterministic and probabilistic methods for specific types of problems including forecasting, inventory, simulation, multicriteria, etc.

Page 16: 1. Chp1 Introduction

Business Use of Management ScienceSome application areas:

- Project Planning

- Capital Budgeting

- Inventory Analysis

- Production Planning

- Scheduling

Interfaces - Applications journal published by Institute for Operations Research and Management Sciences (INFORMS)

Page 17: 1. Chp1 Introduction

Problemsa) EFC produces fertilizer. The company’s fixed monthly

cost is RM25,000, and its variable cost per pound of fertilizer is RM0.15. EFC sells fertilizer for RM0.40 per pound. Determine the monthly break-even volume for the company.

b) If the maximum operating capacity of EFC is 120,000 pounds of fertilizer per month, determine the break-even volume as a percentage of capacity.

c) If EFC changes the price of its fertilizer from RM0.40 per pound to RM0.60 per pound, what effect will change have on the break-even volume