ms lecture 1 introduction

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Introduction QSB2413 Management Science

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Page 1: MS Lecture 1 introduction

Introduction

QSB2413 Management Science

Page 2: MS Lecture 1 introduction

Definition

• Management Science (MS) is a discipline that attempts to aid / support / help / assist managerial decision making by applying a scientific approach to managerial problems that involve quantitative factors.

• MS is concerned with the practical management of organizations (qualitative factors in order to deal with quantitative factors).

Page 3: MS Lecture 1 introduction

Definition

• MS is a whole body of knowledge and techniques that are based on a scientific foundation.

• Example of a management scientist must receive substantial training.

• This training is also is in a whole body of knowledge and techniques that are based on the scientific foundations of the discipline.

Page 4: MS Lecture 1 introduction

Definition

• After entering practice, the management scientist must diagnose a managerial problem and choose the appropriate MS techniques to apply in analyzing the problem.

• Then the manager makes the final decision as to which conclusions from the analysis to accept.

Page 5: MS Lecture 1 introduction

Operations Research (OR)

• Operations research (OR) is the traditional name given to the discipline.

• This name is applied because the teams of scientists in World War II were doing research on how to manage military operations.

Page 6: MS Lecture 1 introduction

Management Science (MS)

• Management Scientists don’t make decisions, but managers do.

• A MS study only provides an analysis and recommendations, based on the quantitative factors involved in the problem (as input to the managers).

• Managers find that qualitative factors (intangible considerations outside MS) are as important as quantitative factors in making a decision.

Page 7: MS Lecture 1 introduction

Management Science (MS)

• For less extensive managerial problems where MS can be helpful, the manager may not choose to consult management scientist and instead use his or her own basic knowledge of MS principles to analyze the problem.

• Example, you cannot quantify honesty and loyalty of your employees.

Page 8: MS Lecture 1 introduction

Management Science (MS)

• MS is based strongly on some scientific fields, including mathematics and computer science.

• MS team will conduct a systematic investigation that includes careful data gathering, developing and testing hypotheses about the problem (mathematical model) and applying in the analysis.

• MS team will follow the steps below.

Page 9: MS Lecture 1 introduction

Management Science (MS)

• Step 1: Define the problem and gather data (MIS).• Step 2: Formulate a model (mathematical model) to

represent the problem (equations /spreadsheets).• Step 3: Develop a computer-based procedure for

deriving solutions to the problem from the model.• Step 4: Test the model and refine it as needed.• Step 5: Apply the model to analyze the problem and

develop recommendations for management.• Step 6: Help to implement the team’s recommendations

that are adopted by management.

Page 10: MS Lecture 1 introduction

Management Science (MS)

• Many managerial problems revolve around such quantitative factors as production quantities, revenues, costs, the amount available of needed resources, and etc.

• By incorporating these quantitative factors into a mathematical model and then applying mathematical procedures to solve the model.

• MS provides a unique way of analyzing managerial problems.

Page 11: MS Lecture 1 introduction

The impact of MS

• Improving the efficiency of organizations.• Annual savings in the hundreds of millions of

dollars (e.g. Airline problems – effectively assign airplanes and crews to flights).

• In health care area, improving management of health care delivery and operations, decision making, radiation therapy and clinical diagnosis.

• In military applications, including logistical planning and war gaming.

Page 12: MS Lecture 1 introduction

Summary

• The onslaught of the computer revolution has continued to give great impetus / momentum to its (MS) growth.

• Further impetus now is being provided by the widespread use of spreadsheet software.

• The software is greatly facilitates the application of MS by managers and others.

• Managers use the results from MS application to make decisions in problem solving.

Page 13: MS Lecture 1 introduction

Discussion

• Problem (quantity to produce – decision making in order to maximize profit).

• Apply mathematical model, e.g. use break- even analysis (MS approach) to find out the estimated amount of product X to be produced and sold (sales forecast). Quantitative factors are fixed costs, variable costs, revenue and profit.

• Disadvantage of applying equation – possibility of producing other products will be eliminated.

Page 14: MS Lecture 1 introduction

Discussion 2

• Assume that a construction company named EcoWorld 2 is planning to build a private hospital near Kota Damansara with the Eco’s ideas (focus on environment – landscape).

• Define managerial problems• Apply MS approach • Managers make the final decision

Page 15: MS Lecture 1 introduction

Conclusion

• As in any application of MS, a mathematical model can provide useful guidance.

• But, management needs to make final decision after considering factors that may not be included in the model.

• Example, adjusting the sales forecast (quantity to produce) according to the current needs or economy situation. (buying power or financial ability)