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Measurement model of productivity

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Methods and Work Measurement LECTURE 3 : MEASUREMENT MODEL OF PRODUCTIVITY 27 FEBRUARY 2009 Hanna Lestari, ST, M.Eng-FTI-UII _at_ 2009 Hanna Lestari, ST, M.Eng-FTI-UII ... – PowerPoint PPT presentation

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Title: Measurement model of productivity


1
Methods and Work Measurement
  • Lecture 3
  • Measurement model of productivity
  • 27 February 2009

2
Why do We Care About Productivity?
  • Productivity is affected by efficiency,
    effectiveness, and quality.
  • Productivity, together with innovation and
    quality of working life, determine the total
    organizational performance profitability
  • Without productivity improvement, businesses do
    not survive in a global economy.
  • Higher productivity means higher standard of
    living

3
Total Organizational Performance
Efficiency
Innovation
Effectiveness
Profitability (organizational Performance)
Productivity
Quality of working life
Quality
4
Productivity Measurement Techniques
5
Partial Productivity
6
Partial Productivity
Contoh Soal Dalam sebulan PT. Noodle mampu
memproduksi 10.000 units produk dengan 500 jam
kerja, berapa produktivitas tenaga kerja
perusahaan tsb? Jawab
10,000 units/500hrs 20 units/hour
7
Multi-factors Productivity
8
Case Study
  • Berikut ini adalah data output hasil produksi
    dan input yang digunakan oleh PT. Noodle dalam
    satu periode waktu
  • - Output 5000
  • - Labor 600
  • - Material 800
  • - Energy 500
  • - Capital 400
  • - Other expense input 500
  • berdasarkan data-data tersebut diatas maka rasio
    produktivitas parsial dan total perusahaan tsb
    pada periode dasar adalah

9
Answer Partial Productivity
10
Answer Total Productivity
  • Total Productivity

Total Output/ (labor material capital
energy other expense input) 5000 /
(600800400500500) 5000/2800 1.785
11
Measurement Model of Productivity
12
Objective Matrix (OMAX)
  • OMAX is a partial productivity measurement
    developed for controlling productivity in the
    each part of firm system based on criteria of
    productivity.
  • Developed by James L. Riggs (Dept. of Industrial
    Engineering at Oregon State University) in 1980.

13
Objective Matrix (OMAX) Model
  • Definition block
  • Quantification block
  • Weight and value block

14
Objective Matrix (OMAX) Model
15
Objective Matrix (OMAX) Model Example
No. Productivity criteria units 1 January 2003 1 January 2003 1 January 2003 Measured performance on 30 dec.2003
No. Productivity criteria units The worst performance Expected performance Based performance Measured performance on 30 dec.2003
1. 2. 3. 4. 5. 6. Speed of service Lateness Queuing Idle time Absent Complain min./man min./day man minute man/day man/wk 10 60 8 60 10 7 2 10 2 15 2 0 4 45 5 30 4 5 3 30 5 40 5 2
16
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17
Objective Matrix (OMAX) Model Example
  • Index of Performance
  • (Productivity Indicator Based
    Performance)/Based Performance) x 1 00
  • Based Performance 300
  • Productivity Indicator a sum of all values
  • 12018030303070

  • 460
  • Value Score x Weight
  • Index of Performance ((460 300)/300) x 100

  • 53.33

18
Model of Marvin E. Mundel
  • This model measures total productivity by
    comparing between productivity in Measured Period
    and Base Period
  • Index of Productivity in base period is 100 so
    that there are three states of index of
    productivity in measured period
  • IP lt 100. It means that the productivity in
    measured period less than base period
  • IP 100. It means that the productivity in
    measured period equals base period
  • IP gt 100. It means that the productivity in
    measured period more than base period
  • The better the productivity, the higher the IP.
    The IP is always more than 100

19
Model of Marvin E. Mundel
20
Model of Marvin E. Mundel
  • Case Study Garuda Indonesia has data as follow

No Statement 2007 2008
1. 2. 3. 4. 5. 6. 7. 8. 9. Ticketing Direct labor cost Indirect labor cost Cargo service Overhead cost VIP flight service Building cost for rent Maintenance cost Administration cost 10 billion 4 billion 2 billion 2 billion 1 billion 500 million 1.5 billion 800 million 200 million 15 billion 5 billion 3 billion 1.4 billion 700 million 600 million 2 billion 500 million 300 million
  • Determine AOMP,AOBP,AIMP,AIBP,CPI,BPI,OI,II and
    IP

21
Model of Marvin E. Mundel
  • Solution
  • 1. Statements of output
  • Ticketing
  • Cargo service
  • VIP flight service
  • 2. Statements of input
  • Direct labor cost
  • Indirect labor cost
  • Overhead cost
  • Building cost for rent
  • Maintenance cost
  • Administration cos

22
Model of Marvin E. Mundel
  • AOMP 15 1.4 0.600 (billion) 17 billion
  • AOBP 10 2 0.500 (billion) 12.5 billion
  • AIMP 5 3 0.700 2 0.500 0.300 11.5
    billion
  • AIBP 4 2 1 1.5 0.800 0.200 9.5
    billion

23
APC Model
  • The American Productivity Center (APC) has been
    advocating a productivity measure that relates
    profitability with productivity and price
    recovery factor. The way this measure is derived
    is

24
APC Model
  • The productivity ratio gives an indication of
    the amount of resources consumed to produce the
    firms output
  • The changes in price recovery factor over time
    indicate whether changes in input cost are
    absorbed, passed on, or overcompensated for in
    the prices of the firms output
  • In this model, the capital input is given by
    total depreciation plus profit relative to the
    total assets (i.e. fixed assets working
    capital) employed
  • Thus, the capital input for any particular period
    depreciation for that period (return on
    assets in base period) x (current assets employed)

25
APC Model Example
26
APC Model
  • In period 1, the firm had capital assets
    100,000, yielding 10,000 depreciation at the
    average rate of 10.
  • The profit earned in period 1 was the difference
    between the revenue and total input cost, that
    is, 49,000 output minus 38,100 resulting in
    10,900.
  • The base period (period 1) return on total
    capital is calculated as follows

27
APC Model
  • Assuming that the working capital in period 1 was
    50,000

28
APC Model
  • In period 2, we have assumed that the fixed
    assets remained at 100,000, but the working
    capital increased to 80,000.
  • Thus return (profit) of the firm is 13,140,
    which is the profit should have made if it had
    maintained its profitability relative to its
    total assets
  • However, the actual profit in period 2 is given
    as 54,500 minus 44,500 resulting in 10,000
  • This means that the firms profit fell short by
    (13,140 - 10,000) 3,140.

29
APC Model
30
APC Model
31
APC Model
  • Table 7.3 shows that labor productivity improved
    by 11.81 in period 2, and that the wage rates
    increased considerably, as indicated by a price
    recovery index of 0.814
  • This means that the productivity increase was
    overshadowed, with the net effect of a drop in
    profitability by 1.000 0.962 0.038 or 3.8

32
Model Craig Haris
Pt produktivitas total C Faktor masukan
total L Faktor masukan tenaga kerja R Raw
material and purchased parts input O Faktor
masukan barang dan jasa lain Ot total ouput
33
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