Work sampling - MDHzoomin.idt.mdh.se/course/PPU413/Presentations/Work sampling.pdf · 2016-11-09 4...

12
2016-11-09 1 Peter Almström Technology Management and Economics Work sampling Peter Almström Technology Management and Economics Learning objectives After this lecture you will be able to… Do a work sampling study. Calculate the needed number of observation or the statistical error in a work sampling study. Know when work sampling is applicable.

Transcript of Work sampling - MDHzoomin.idt.mdh.se/course/PPU413/Presentations/Work sampling.pdf · 2016-11-09 4...

Page 1: Work sampling - MDHzoomin.idt.mdh.se/course/PPU413/Presentations/Work sampling.pdf · 2016-11-09 4 Peter Almström Technology Management and Economics Work sampling applications •

2016-11-09

1

Peter Almström Technology Management and Economics

Work sampling

Peter Almström Technology Management and Economics

Learning objectives

• After this lecture you will be able to…

– Do a work sampling study.

– Calculate the needed number of observation or the statistical error

in a work sampling study.

– Know when work sampling is applicable.

Page 2: Work sampling - MDHzoomin.idt.mdh.se/course/PPU413/Presentations/Work sampling.pdf · 2016-11-09 4 Peter Almström Technology Management and Economics Work sampling applications •

2016-11-09

2

Peter Almström Technology Management and Economics

Work sampling

Assembly;

36%

Material

handling; 17%

Disturbances;

12%

Administration

; 10%

Personal

time; 14%

Breaks; 7%

Setup; 4%

Peter Almström Technology Management and Economics

Alternative names

• Work sampling

• Activity sampling

• Sv. Frekvensstudie

Page 3: Work sampling - MDHzoomin.idt.mdh.se/course/PPU413/Presentations/Work sampling.pdf · 2016-11-09 4 Peter Almström Technology Management and Economics Work sampling applications •

2016-11-09

3

Peter Almström Technology Management and Economics

History of work sampling

• L.H.C. Tippet in 1927

• British spinneries

• The proportion of observations of a specific activity is

proportional to the actual time for that activity.

Peter Almström Technology Management and Economics

Fast to tune in on mean value

Page 4: Work sampling - MDHzoomin.idt.mdh.se/course/PPU413/Presentations/Work sampling.pdf · 2016-11-09 4 Peter Almström Technology Management and Economics Work sampling applications •

2016-11-09

4

Peter Almström Technology Management and Economics

Work sampling applications

• Manual work

• Machine work

• Material (buffer) level

• Administrative work

• Overview study

• Allowances

Peter Almström Technology Management and Economics

N=1400

Manual assembly (in stations)

Page 5: Work sampling - MDHzoomin.idt.mdh.se/course/PPU413/Presentations/Work sampling.pdf · 2016-11-09 4 Peter Almström Technology Management and Economics Work sampling applications •

2016-11-09

5

Peter Almström Technology Management and Economics

Machine operators

9,8%

6,0% 7,5%

2,2% 1,6% 0,9%

5,7%

13,5%

4,8%

34,3%

5,2%

8,6%

0,0%

5,0%

10,0%

15,0%

20,0%

25,0%

30,0%

35,0%

40,0%

Total results - B7

5694

Bergman and Wickström, 2013

Peter Almström Technology Management and Economics

Sampling of buffer size

Belin & Hedman, 2010

Page 6: Work sampling - MDHzoomin.idt.mdh.se/course/PPU413/Presentations/Work sampling.pdf · 2016-11-09 4 Peter Almström Technology Management and Economics Work sampling applications •

2016-11-09

6

Peter Almström Technology Management and Economics

How to achieve random

sampling

• Random intervals

• Random objects with fixed intervals

–Requires study of >1 object

• Use real random figures.

Peter Almström Technology Management and Economics

Advantages of Work Sampling in

comparison with Time study

• More cost efficient (5-50% of time study)

• Qualified analyst not required

• Study can be interrupted

• Less effect on the operators

• More easily accepted by the operators

Page 7: Work sampling - MDHzoomin.idt.mdh.se/course/PPU413/Presentations/Work sampling.pdf · 2016-11-09 4 Peter Almström Technology Management and Economics Work sampling applications •

2016-11-09

7

Peter Almström Technology Management and Economics

Disadvantages of Work Sampling in

comparison with Time study

• Time study permits a finer breakdown of activities

• No method study

• Averages of groups, no individual differences

• Risk of doing too few samples

Peter Almström Technology Management and Economics

How to make a study

1. Determine purpose

2. What objects?

3. What activities?

4. Pre-study

5. Number of samples

6. Carry out study and analyse

Page 8: Work sampling - MDHzoomin.idt.mdh.se/course/PPU413/Presentations/Work sampling.pdf · 2016-11-09 4 Peter Almström Technology Management and Economics Work sampling applications •

2016-11-09

8

Peter Almström Technology Management and Economics

Work sampling theory

2

2 )1(

e

ppzN

2

2 )1(96,1

e

ppN

With 95% confidence interval z=1,96

N=Number of observations

p=Probability of a single occurrence

e=Acceptable limit of error = σ

Peter Almström Technology Management and Economics

Absolute and relative error

• e is dependent on p

• What you can say after a work sampling study is that:

• Example:

“Activity X represent YY% of total time ±e% with 95% confidence”

“Cleaning represent 4% of total time ±4% with 95% confidence”

“Assembly represent 54% of total time ±4% with 95% confidence” 4

54 = 7% relative error

4

4 = 100% relative error

Page 9: Work sampling - MDHzoomin.idt.mdh.se/course/PPU413/Presentations/Work sampling.pdf · 2016-11-09 4 Peter Almström Technology Management and Economics Work sampling applications •

2016-11-09

9

Peter Almström Technology Management and Economics

Examples Number of observations needed when 10% relative error is acceptable

153702,0

)20,01(20,096,1%20_

2

2

NactivitySmallest

345701,0

)10,01(10,096,12

2

N

7299005,0

)05,01(05,096,12

2

N

Peter Almström Technology Management and Economics

Example Number of observations needed when 10% relative error is acceptable

291960025,0

)05,01(05,096,12

2

N

38031001,0

)01,01(01,096,12

2

N

Example Number of observations needed when 5% relative error is acceptable

30000 observations, two samples/minute = 6 weeks fulltime

Page 10: Work sampling - MDHzoomin.idt.mdh.se/course/PPU413/Presentations/Work sampling.pdf · 2016-11-09 4 Peter Almström Technology Management and Economics Work sampling applications •

2016-11-09

10

Peter Almström Technology Management and Economics

PPA

• 480 observations

• Random object 15%

20% 65%

%2,4480

)33,01(33,096,1)1(96,1 22

N

ppe

4,2% absolute error => 4,2/33 = 12,7% relative error

Peter Almström Technology Management and Economics

Work sampling acceptance

• Possible to be impersonal

• Fast and non obtrusive

• Pedagogical challenge

Page 11: Work sampling - MDHzoomin.idt.mdh.se/course/PPU413/Presentations/Work sampling.pdf · 2016-11-09 4 Peter Almström Technology Management and Economics Work sampling applications •

2016-11-09

11

Peter Almström Technology Management and Economics

Self-observation

• Especially for indirect (mobile) work

• Advantage: no extra people needed

• Disadvantage: a disturbance, less accurate

• Technology needed

Peter Almström Technology Management and Economics

Work sampling software

• For PCs, PDAs or Surfpads

• Less clerical work

• Fast results – lower cost

• Higher accuracy – fewer opportunities for

errors

• Use video camera, do sampling on the movie.

• Negative: Depend on technology

Page 12: Work sampling - MDHzoomin.idt.mdh.se/course/PPU413/Presentations/Work sampling.pdf · 2016-11-09 4 Peter Almström Technology Management and Economics Work sampling applications •

2016-11-09

12

Peter Almström Technology Management and Economics

Work sampling exercise

1. Value adding

– Writing on the black board

2. Supporting

– Changeover (change chalk)

– Planning activity (sit by computer)

3. Not value adding

– Disturbance (drop chalk)

– Paid break (walk out)

Peter Almström Technology Management and Economics

Learning objectives

• After this lecture you will be able to…

– Do a work sampling study.

– Calculate the needed number of observation or the statistical error

in a work sampling study.

– Know when work sampling is applicable.