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27問 • 2年前
  • james delapa
  • 通報

    問題一覧

  • 1

    Last tool in ‘the seven+tools for quality control’. John T.Burr (Costin, 1994) said:

    flow chart

  • 2

    will only be effective if measurements of production results are supplemented by data on the most important causes

    effective causal analysis

  • 3

    it enables an effective causal analysis to be carried out and so improves the design of effective prevention methods.

    stratification

  • 4

    was discussed in relation to the cause-and-effect diagram and the Pareto diagrams.

    stratification principle

  • 5

    is a control chart to analyze and control the proportion of non-conformities (defects, failures) with a varying sample size.

    U chart

  • 6

    is a control chart to analyze and control the number of non-conformities (defects, failures) with a constant sample size.

    C chart

  • 7

    is a control chart to analyze and control the number of failures or defects in subgroups or samples of size n.

    NP chart

  • 8

    Is a control chart to analyze and control the proportion of failures or defects in subgroups or samples of size n.

    P chart

  • 9

    In many cases the data are not a result of measuring a continuous variable, but are the result of counting how often a specific event or attribute

    attribute control chart

  • 10

    there are only a small number of specific causes and the effect of each specific cause may be considerable.

    specific cause

  • 11

    uses the designation ‘common causes’ and emphasizes

    deming or deming 1982

  • 12

    are characterized by the fact that there are many of them and that the effect of each of these causes is relatively small compared to the special causes.

    random causes

  • 13

    ( Shewhart) Random Causes (System Causes) Specific Causes

    causes of quality variation

  • 14

    Shewhart defined a production process as, in principle, a specific mixture of causes. Changing just one of the causes,

    shewhart 1931

  • 15

    may be used partly to control variation and partly in the identification and control of the causes which give rise to these variations

    control chart

  • 16

    is a graphic summary (a bar chart) of variation in a specific set of data.

    histogram

  • 17

    Involves both determining which preventive methods to use in controlling identified causes and setting goals for ‘planned action’.

    quality planning

  • 18

    Sometimes the diagram is also called a fishbone diagram.

    cause and effect diagram

  • 19

    The cause-and-effect diagram is also called an

    ishikawa diagram

  • 20

    The diagram’s strength is that it is both simple to use and understand and it can be used in all departments at all levels.

    cause and effect diagram

  • 21

    It is generally known that in most cases a few types of errors (problems or causes)

    pareto diagram

  • 22

    The keywords in this check are study, learn and understand variations.

    check phase

  • 23

    these are the constraints on carrying out the work.

    must be operation

  • 24

    There are two different types of ‘checks’ in the quality improvement cycle

    do phase, check phase

  • 25

    is A small group Voluntarily carrying out quality control activities Within its own work area.

    quality circle

  • 26

    The seven tools of quality control’ is a phrase which originated from

    japan

  • 27

    consist of restrictions which must be adhered to, in performing the work; items which ensure the safety of employees or assure product quality are the most important of these.

    constraints

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    問題一覧

  • 1

    Last tool in ‘the seven+tools for quality control’. John T.Burr (Costin, 1994) said:

    flow chart

  • 2

    will only be effective if measurements of production results are supplemented by data on the most important causes

    effective causal analysis

  • 3

    it enables an effective causal analysis to be carried out and so improves the design of effective prevention methods.

    stratification

  • 4

    was discussed in relation to the cause-and-effect diagram and the Pareto diagrams.

    stratification principle

  • 5

    is a control chart to analyze and control the proportion of non-conformities (defects, failures) with a varying sample size.

    U chart

  • 6

    is a control chart to analyze and control the number of non-conformities (defects, failures) with a constant sample size.

    C chart

  • 7

    is a control chart to analyze and control the number of failures or defects in subgroups or samples of size n.

    NP chart

  • 8

    Is a control chart to analyze and control the proportion of failures or defects in subgroups or samples of size n.

    P chart

  • 9

    In many cases the data are not a result of measuring a continuous variable, but are the result of counting how often a specific event or attribute

    attribute control chart

  • 10

    there are only a small number of specific causes and the effect of each specific cause may be considerable.

    specific cause

  • 11

    uses the designation ‘common causes’ and emphasizes

    deming or deming 1982

  • 12

    are characterized by the fact that there are many of them and that the effect of each of these causes is relatively small compared to the special causes.

    random causes

  • 13

    ( Shewhart) Random Causes (System Causes) Specific Causes

    causes of quality variation

  • 14

    Shewhart defined a production process as, in principle, a specific mixture of causes. Changing just one of the causes,

    shewhart 1931

  • 15

    may be used partly to control variation and partly in the identification and control of the causes which give rise to these variations

    control chart

  • 16

    is a graphic summary (a bar chart) of variation in a specific set of data.

    histogram

  • 17

    Involves both determining which preventive methods to use in controlling identified causes and setting goals for ‘planned action’.

    quality planning

  • 18

    Sometimes the diagram is also called a fishbone diagram.

    cause and effect diagram

  • 19

    The cause-and-effect diagram is also called an

    ishikawa diagram

  • 20

    The diagram’s strength is that it is both simple to use and understand and it can be used in all departments at all levels.

    cause and effect diagram

  • 21

    It is generally known that in most cases a few types of errors (problems or causes)

    pareto diagram

  • 22

    The keywords in this check are study, learn and understand variations.

    check phase

  • 23

    these are the constraints on carrying out the work.

    must be operation

  • 24

    There are two different types of ‘checks’ in the quality improvement cycle

    do phase, check phase

  • 25

    is A small group Voluntarily carrying out quality control activities Within its own work area.

    quality circle

  • 26

    The seven tools of quality control’ is a phrase which originated from

    japan

  • 27

    consist of restrictions which must be adhered to, in performing the work; items which ensure the safety of employees or assure product quality are the most important of these.

    constraints