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4' Situation Appraisal

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You operate surrounded by past problems, current demands and the certainty of future threats ! ... How to recognize situations that require action. ... – PowerPoint PPT presentation

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Title: 4' Situation Appraisal


1
4. Situation Appraisal
  • Whats going on ?
  • Pattern 1 Assessing and Clarifying

2
  • Management fantasy no. 1.
  • Oh to start a fresh !

It isnt going to happen. You operate surrounded
by past problems, current demands and the
certainty of future threats ! Situation Appraisal
is an Evaluative Technique. Its purpose to select
appropriate analytical techniques. i.e. Problem
Analysis, Decision Anlaysis and Potential Problem
Analysis.
3
Situation Appraisal shows you -
  • Where to begin.
  • How to recognize situations that require action.
  • How to break apart confusing and overlapping
    issues.
  • How to set priorities.
  • How to manage a number of simultaneous activities
    efficiently.
  • Being able to do the above allows the most
    efficient use of downstream analytical skills,
    and hence makes for a truly better manager.

4
  • Situation Appraisal Techniques. The Four
    Activities
  • Recognize concerns
  • Current or Future
  • Deviations
  • Threats
  • Opportunities
  • Plan for Resolution
  • Select the appropriate process to resolve each
    concern
  • Plan the Who, What, Where, When and Extent of the
    solution
  • Separate
  • Break broad concerns into more clearly defined
    sub-concerns.
  • List additional concerns that must be resolved
  • Set Priority
  • Decide in which order to work on your separated
    concerns.

5
Recognizing Concerns.
  • A concern is any situation that requires action
    and for which you have full or partial
    responsibility.
  • Concerns can be straightforward. A report is due,
    staff member is performing poorly, a project is
    slipping. But sometimes you may have to search
    for them. Why ?
  • How to find concerns -
  • 1. List current deviations, threats and
    opportunities.
  • 2. Review progress against goals.
  • 3. Look ahead for surprises (internally
    externally)
  • 4. Search for improvement.

Note It is possible to use this search as the
outline for a large number of project/management
meetings.
6
  • Identifying concerns is so important that in
    addition to the steps mentioned the following
    series of questions assists -
  • Where are we not meeting standards ?
  • What problems from the last 6 months remain
    unsolved ?
  • What recommendations are we currently working on
    or will be coming up in the near future ?
  • What decisions need to be made now ?
  • What decisions are being made now and will have
    to be implemented when a choice is made ?
  • What major projects, systems, or plans are about
    to be implemented ?

7
Separating Concerns into Manageable Components
8
The structure of a day one problem.
SHOULD
Performance
DEVIATION
ACTUAL
Present
DAY 1
Time
9
Techniques of problem solving.
  • 1. Define the problem.
  • Descibe the problem in four dimensions. -
  • Identity.
  • Location.
  • Timing.
  • Magnitude.
  • Test and verify most probable cause.
  • Extract key information from step 2 to generate
    possible causes.

10
Case Study 1
  • The leaking soybean oil filter. A true story !

11
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12
Analysing this chain of events -   A number of
people had ideas about the cause of the problem
but couldnt explain how the causes they thought
of could produce the effect. Actions taken before
the problem was solved had been based on
experience, on similar problems in the past, on
standard operating procedures and on hunches. The
faulty gasket had even been replaced with an
identically useless one. The problem was
eventually solved in a roulette approach. The
solution being stumbled on. By reworking this
problem with the systematic approaches to be
presented the employees of this firm found that
they could solve the original problem in a matter
of hours compared with the several days it had
originally taken.
13
The process of problem analysis
  • Definition of the problem.
  • The deviation statement.
  • Must be precise and unambiguous.
  • Must be a description of one problem.
  • Everything that follows relies on this statement.
  • For our case study -
  • Number one oil filter leaking oil.

14
  • 2. Description of the problem in four dimensions
  • Identity, location, timing and magnitude.
  • All available information about a problem will
    fall within one of these four dimensions.
  • By asking the specifying questions we will flesh
    out our description of the effect of the problem.
    This will provide us with the most useful type of
    information with which to commence our analysis.

15
  • IDENTITY
  • LOCATION

What is the unit that is Malfunctioning? What is
the malfunction ? Where is the malfunction
observed (Geographically)? Where on the unit is
the malfunction observed?
Number 1 Filter Leaking oil. Northeast corner
of filter house. At the cleanout hatch.
16
  • TIMING
  • MAGNITUDE

When was the malfunction first observed ? When
has been observed since? When in operating cycle
of the unit is the malfunction first
observed? What is the extent of the problem? How
many units are affected? How much of any one unit
is affected?
Three days ago at the start of shift. Continuously
, on all shifts. As soon as oil goes into filter,
at start of shift. Five to ten gallons of oil
leaked per shift. Only number 1 N/A
17
  • IS and IS NOT . A basis of comparison.
  • By identifying other items, people, machines,
    processes etc. that could have the same problem
    but do not we can begin to isolate the peculiar
    factors of our problem.
  • Regardless of the content of a problem, nothing
    is more conducive to sound analysis than some
    relevant basis of comparison.
  • We conduct this search for comparisons in all
    four dimensions of the specification.

18
  • 3. Extraction of Key Information in the problems
    four dimensions to generate possible causes.
  • Distinctions. By looking at our comparisons we
    try to identify differences. What is distinctive
    about the is data when compared with the is
    not data.
  • Changes. Does the aforementioned distinction
    represent a change ?
  • Generation of possible causes. Within the
    distinctions and changes lies the explanation of
    the cause ! Several possible causes may sometimes
    emerge.

19
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20
  • Generation of possible causes.
  • By examining each distinction and change and
    asking the question -
  • How could this distinction/change have produced
    the deviation described ?
  • By examining our table we can identify the
    following possible causes -
  • 1. Square cornered gasket (distinction) from the
    new supplier (change) is too thin and of uneven
    construction.
  • 2. Vibration from feedwater pump in norheast
    corner (distinction) causes leak.
  • Of the above 1. Is more likely as it has both
    distinction and change.

21
  • 4. Testing for most probable cause.
  • We ask of each cause -
  • If this is the true cause of the problem, then
    how does it explain each dimension in the
    specification?
  • The true cause must explain each and every aspect
    of the deviation.
  • Possible cause 2 fails because it cannot explain
    the following -
  • Is observed on cleanout hatch and not other
    parts. E.g. Valves,pipes locking mechanism.
  • Is observed three days ago and not before.
  • Possible cause 1 however does explain all the
    facts.

22
  • 5. Verification of the true cause.
  • To verify a true cause is to prove that it did
    produce the observed effect. In this instance all
    that needs doing is to obtain an old type gasket
    and replace. Alternatively gaskets from filter 1
    and 2 could be swapped and the results noted.
  • Verification is an independent step taken to
    prove a cause and effect relationship.
  • Sometime not possible. E.g. Rocket explodes. All
    that can be done then is to devise corrective
    action based on the most probable cause.

23
  • Failure
  • Failures in the use of this process can be
    attributed to -
  • 1. Insufficient identification of key
    distinctions
  • and changes related to the IS data in the
  • specification.
  • 2. Too many assumptions distorting judgement
  • during the testing step. Do not grant
    assumptions the status of facts.

24
SUMMARY
  • The structure of all problems is the same !
    Knowing this allows us to move systematically
    from definition to description to evaluation to
    hypothesis and finally to verification.
  • 1. Deviation Statement.
  • Concise description of both the object of our
    concern and the defect for which we wish to
    find the cause.
  • 2. Specification
  • Comprehensive description of the problems
    identity, location, timing and magnitude.
    Described as it IS and as it COULD BE but IS
    NOT. We assemble a basis of comparison.

25
  • 3. Distinctions.
  • Features that distinguish the IS data in all
    four dimensions. We build a collection of key
    features characterizing our problem in the 4
    dimensions.
  • 4. Changes.
  • We study each distinction to see if it also
    represents a change. We are narrowing our search.
  • 5. Generate possible causes.
  • Examination of all the distinctions and changes
    highlights possible causes. The possible causes
    are then tested against the specification in
    order to progress to status of most probable
    cause.

26
  • 6. Verification
  • The most probable cause is tested.
  • A final word on the methodology.
  • This is not supposed to be a completely
    prescriptive technique and invariably the cause
    will be found early in the analysis. It does
    however warrant appreciation as it is
    comprehensive and necessary for the more obscure
    and difficult problems. DO not however be a slave
    to the method.
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