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(1)
(2)

Planning

The general who wins a battle makes many calculations in his temple before the battle.

The general who loses a battle makes few calculations before hand.

It is by attention to this point that I can see who is likely to win or lose.

(3)

It is probably the most important of the

identified managerial functions. It focuses

you on how best to achieve the desired

results. Thus, without it organizing,

leading, and controlling have little

purpose.

Planning and Forecasting

(4)

Planning: To decide in advance…

What to do

How to do it

When to do it

Who is to do it

Planning and Forecasting

(5)

Planning and Forecasting Planning/Decision-Making Process: Recognize the problem or opportunity Define problem, specify premises and

constraints

Overall mission, long-range objectives and

(6)

Planning and Forecasting

The Foundation for Planning

Vision, Purpose, Mission

Clear vision of the basic purpose or mission for

which an organization exists is essential for

(7)

Planning and Forecasting

The Foundation for Planning

Vision, Purpose, Mission

Vision is the basic purpose of the organization. For example, the vision of AT&T (our business is

(8)

Planning and Forecasting

The Foundation for Planning

Vision, Purpose, Mission

(9)

Planning and Forecasting

Once a mission is chosen, an organization needs to

achieve that mission. Strategic planning is the

organized process for selecting these strategies.

Strategic planning is the strategy which defines how

the organization plans to move from its current

state to the state envisioned in its mission and vision

frameworks.

(10)

Planning and Forecasting

Strategic Planning:

Current

State

Future

State

(11)

Planning and Forecasting

Strategic Planning:

Choose Specific Key Areas

Market share Innovation Productivity

Physical and Financial Resources

Manager Performance and Development Worker Performance and Attitude

Profitability

Social Responsibility

(12)

Planning and Forecasting

Strategic Planning:

Develop work assignments based on organizational needs and objectives.

Plans are agreed between manager and subordinate.

Objectives should be stretch objectives

Objectives should be quantifiable (increase income by 5%) or at least tangible (written policy).

Needed resources should be determined and agreed to.

Plans should include employee development as well.

Plans are for a 6 month to 1 year time span.

(13)

Planning and Forecasting

Strategic Planning:

Business Portfolio Matrix

Market Market Share

Small Large

Fast Growth ?? Stars

(14)

Planning and Forecasting

Strategic Management of Technology

Base Technologies

Key Technologies

(15)

Planning and Forecasting

Some Planning Concepts

It is the continuing responsibility of each manager.

The higher managers rise the more time they spend on planning.

Ultimate responsibility lies with top and middle management.

Plans must lead to action.

(16)

Planning and Forecasting

Some Planning Concepts

These are the assumptions under which the developed plans are expected to be executed.

Assumptions are based on forecasts and trends in market and technology.

When there is uncertainty, there is a need to develop contingency plans.

(17)

Planning and Forecasting

Some Planning Concepts

Shows how far into the future do you want to plan.

Varies depending on:

The nature of the business The market organization is in The required details for the plans

Planning Horizon:

Future Time Details

of Plans

(18)

Planning and Forecasting

To predict/approximate what a certain future event or condition will be.

One can forecast:

Production levels

Technological developments Needed manpower

Governmental regulations Needed Funds

Training needs Resource needs

Sale levels.  The most critical information to forecast.

(19)

Planning and Forecasting Forecasting

Two types of information to forecast:

Qualitative Information

(20)

Planning and Forecasting Forecasting

Qualitative Forecasting

Used when:

Past data cannot be used reliably to predict the future. Technological trends

Regulations

When no past data is available, usually because the situation is very new.

Entry into new markets

(21)

Planning and Forecasting Forecasting

Jury of executive opinion Sales Force Composite User’s Expectations

Delphi Method

Methods

(22)

Planning and Forecasting Forecasting

Quantitative Information

Used when data is tangible, can be used reliably to predict the future, and there is sufficient historical data upon which to base forecasts.

Sales Profits

(23)

Planning and Forecasting Forecasting

Methods

Quantitative Forecasting

1. Simple Moving Average:

n

t

t

n

A

n

F

1

1

1

Assumptions

Time series has a level and a random component only No Trend

No seasonal or cyclical variations

(24)

Dr.B.G.Cetiner

Planning and Forecasting Forecasting

Methods

Quantitative Forecasting

1. Simple Moving Average:

n

t

t

n

A

n

F

1

1

1

n=current value n+1 = forecast value for next A=actual value

Example

Period Actual Value

1999 2500

2000 1500

2001 1000

2002 500 0

500 1000 1500 2000 2500 3000

1 2 3 4

1375

(25)

Planning and Forecasting Forecasting

Methods

Quantitative Forecasting

2. Weighted Moving Average:

n=current value n+1 = forecast value for next A=actual value w=weight value

n

t

t

n

t

t

t

n

w

A

where

w

F

1

1

(26)

Dr.B.G.Cetiner [email protected]

Planning and Forecasting Forecasting

Methods

Quantitative Forecasting

2. Weighted Moving Average:

n

t

t

n

t

t

t

n

w

A

where

w

F

1

1

1

1

Example

Period Actual Value Weight

1999 2500 0.1

2000 1500 0.2

2001 1000 0.3

2002 500 0.4 0

500 1000 1500 2000 2500 3000

1 2 3 4

1050

(27)

Planning and Forecasting Forecasting

Methods

Quantitative Forecasting

Moving Averages

A trend for the period of the whole series cannot be found.

A large amount of data, equal to the period over which the average is being taken, has to be retained.

The trend is based on arithmetic averages, so it is influenced by extreme values.

All data (in the simple moving average technique) are weighted equally and data which are too old to be

included are weighted by zero. Generally it is probable that recent data are more important and should have higher weights.

(28)

Planning and Forecasting Forecasting

Methods

Quantitative Forecasting

3. Exponential Smoothing

)

(

1 n n n

n

F

A

F

F

Example

Period Actual Value Forecast

=0.4

1999 2500

-2000 1500 2500

2001 1000

2002 500

n n

F

A

(

1

)

2100 1660

1196 for 2003

F2001=0.4 A2000+(1-0.4) F2000 F2001=0.4*1500+0.6* 2500

F2001=0.4*1500+0.6* 2500 F2001=2100

(29)

Planning and Forecasting Forecasting

Methods

Quantitative Forecasting

3. Exponential Smoothing

)

(

1 n n n

n

F

A

F

F

Example

Period Actual Value Forecast

=0.4

1999 2500

-2000 1500 2500

2001 1000

2002 500

n n

F

A

(

1

)

2100 1660

1196 for 2003

0 500 1000 1500 2000 2500 3000

1 2 3 4

1196

(30)

Planning and Forecasting Forecasting

Methods

Quantitative Forecasting

3. Exponential Smoothing

Same data assumptions as Moving Average

It overcomes disadvantages of Moving Average.

Forecast for current period is found as the

(31)

Planning and Forecasting Forecasting

Methods

Quantitative Forecasting

3. Exponential Smoothing

No waiting period before reliable forecasts can be calculated.

It is only required to retain three figures for any forecast: the past forecast for current

period, the current actual, and the smoothing constant.

The value of

α

can be made to change or

adapt to changed circumstances, such as for example to make the series more sensitive to rapidly changing data

(32)

Planning and Forecasting Forecasting

Methods

Quantitative Forecasting

4. Regression Analysis

Time/Period

Actua

l

Va

lu

es

Data Points

(33)

Planning and Forecasting Forecasting

Methods

Quantitative Forecasting

4. Regression Analysis

This is an “Exploratory Forecasting Method”.

It develops “logical” relationships between variables.

Tries to minimize sum of the squares of the deviations.

(34)

Planning and Forecasting Forecasting

Methods

Quantitative Forecasting

4. Regression Analysis

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