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WORK DESIGN AND MEASUREMENT

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Title: WORK DESIGN AND MEASUREMENT


1
WORK DESIGN AND MEASUREMENT
  • Specialists versus Generalists
  • Methods Analysis Motion Study
  • Work Measurement
  • Learning Curves

2
SPECIALISTS VS. GENERALISTS
  • Ideal employee a low-wage highly skilled
    generalist
  • Typical choice
  • High-wage skilled generalist
  • Low-wage unskilled person who can be quickly
    trained as a specialist
  • Historically, as production volume increases
    generalists are replaced with specialists

3
SPECIALISTS VS. GENERALISTS
  • Unskilled specialist labor comes with problems
  • Motivational issues (absenteeism, poor quality,
    hostility)
  • Disconnect between designers and doers frustrates
    process improvement
  • Possible solutions
  • Job enlargement each worker covers a larger
    portion of the production process
  • Job rotation workers switches jobs every X
    hours
  • Job enrichment workers are given more
    responsibility and control

4
SPECIALISTS VS. GENERALISTS
  • Self-Directed Work Teams have elements of all
    three potential solutions
  • Workers for a certain section of the production
    process are formed into a team
  • The team may elect its own leader
  • The team is given quality and volume requirements
  • The team is responsible for deciding how best to
    meet those requirements (with the help of
    professional staff)
  • The team is given training in quality and process
    improvement
  • Team members may be compensated based partly on
    team performance and partly on individual
    knowledge
  • Additional training costs are offset by
    efficiency, flexibility, and quality

5
METHODS ANALYSIS MOTION STUDY
  • Tools used by managers, industrial engineers, and
    team members to analyze and improve a job or
    process
  • Methods analysis big picture
  • Most common tool process flow diagram/chart
  • Analysis of operations sequence for redundancy,
    efficiency
  • Motion study little picture
  • Application of Motion Study Principles to a
    single operation
  • Break movement down into Therbligs

6
METHODS ANALYSIS EXAMPLE
  • Example impact of new Enterprise System on
    transcript retrieval

7
MOTION STUDY
  • Detailed critique of job using Motion Study
    Principles
  • Motions made by the hands should be done
    symmetrically
  • All materials and tools should be located within
    the normal working area?
  • Parts should be held in position by fixtures
  • Further detailed analysis of therbligs, or
    elemental motions
  • Search, select, reach, grasp, hold
  • Aim is to eliminate elements and simplify job

8
WORK MEASUREMENT
  • How long does (or should) a job take?
  • Needed input for capacity analysis, facility
    layout/relayout
  • Existing Jobs
  • Time study
  • New jobs
  • Time standards

9
TIME STUDY
  • Worker is timed doing the task and the resulting
    time is adjusted for worker performance, fatigue,
    and other factors
  • OT Observed time
  • Average time to do job by worker being observed
  • PR Performance rating
  • Indicates estimated performance of worker being
    observed relative to an average worker

10
TIME STUDY
  • NT Normal time
  • Average time to do job by an average worker
  • NT (OT)(PR)
  • AF Allowance factor
  • Gives worker extra time for fatigue, restroom
    breaks, getting materials, etc.
  • ST Standard time
  • Average time for an average worker including time
    for fatigue, restroom breaks, etc.
  • ST (NT)(AF)

11
TIME STUDY
  • Example An experienced worker is observed
    assembling a circuit board 30 times.
  • The average observed time is 3.5 minutes per
    board
  • The worker is assumed to be about 20 faster than
    the average worker
  • The firm has a policy of allocating an extra 10
    of time for fatigue, restroom breaks, etc.
  • NT (3.5)(1 0.2) 4.2
  • ST (4.2)(1 0.10) 4.62 minutes

12
TIME STUDY
  • How many observations?
  • n number of required observations
  • a desired percentage accuracy
  • z z score for percentage confidence (z 2 ?
    95.5 confidence)
  • OT mean observed time so far
  • SOT standard deviation of observed times
  • To be 95.5 confident of being within a of the
    true mean time, set n such that

13
TIME STUDY
  • Example suppose we want to be 95.5 sure that
    our new standard time for the circuit board
    assembly operation is no more than 2 off the
    true mean.
  • Our OT was 3.5
  • We find the standard deviation of the 30
    observations to be 0.3.

14
TIME STANDARDS
  • Laboratory tests have determined standard times
    for all therbligs under all possible conditions
  • Methods time measurement (MTM) tables time all
    basic movements in TMUs
  • Time measurement units (1 TMU0.0006 minutes)
  • Avoids Hawthorne effect
  • E.g. how much time to move an object to an
    indefinite location?
  • Weight up to 2.5 pounds
  • Distance between ¾ and 1 inches
  • Time 2.9 TMUs, or 2.9x0.0006 0.00174 minutes

15
WORK SAMPLING
  • Used to estimate the fraction of time a worker
    performs a non-routine task
  • time a professor spends in meetings
  • Every x minutes, professor records activity
  • If 20 out of 100 times he was in meetings, the
    desired ratio is 20
  • The time interval x should be random

16
WORK SAMPLING
  • How many observations?
  • n number of required observations
  • e desired maximum error
  • z z score for percentage confidence (z 2 ?
    95.5 confidence)
  • p mean estimate of fraction so far
  • To be 95.5 confident of being within e of the
    true mean time, set n such that

17
WORK SAMPLING
  • Example suppose we want to be 95.5 sure that
    our new estimate of the fraction of the
    professors time spent in meetings is no more
    than 5 off the true mean.
  • Our initial estimate of p was 0.2

18
LEARNING CURVE
  • The more you do something, the faster you can do
    it
  • A formal model can be used for estimating
    standard times far into the future
  • Basic principle as cumulative production
    doubles, the time required per unit decreases to
    a fraction of the previous required time
  • That fraction is the learning rate
  • Notation
  • Tn -- time required for nth unit
  • LR -- learning rate

Excel
19
LEARNING CURVE
  • Suppose that we have a new assembly
  • The first unit takes 10 hours to assemble
  • The learning rate of a similar product was 90
  • How long will the 25th unit take?

Excel
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