Lean Six Sigma - Tsa Iii

Front 1

What does r^2 describe on a scatter plot?

Back 1

It explains how much of the variation is described by the x.

Front 2

What is the output or result of linear regression?

Back 2

Y=f(x)

Front 3

DOE

Back 3

Design of Expirement

Front 4

Factor (DOE)

Back 4

A controlled or uncontrolled input variable

Front 5

Level (DOE)

Back 5

A specific value or setting of a factor.

Front 6

Effect (DOE)

Back 6

The change in the response variable that occurs as expiremental conditions change.

Front 7

Interaction (DOE)

Back 7

Occurs when the effect of one factor on the response depends on the setting of another factor.

Front 8

Repetition (DOE)

Back 8

Running several samples during one expiremental setup.

Front 9

Replication (DOE)

Back 9

Replicating (duplicating) the entire expirement in a time sequence with different setups between each run.

Front 10

What is the purpose of a pilot?

Back 10

To test a proposed solution, lower risk and to ensure that the full scale mode is effective.

Front 11

The plan that describes how a new process will be managed.

Back 11

Control Plan

Front 12

What are the three primary areas covered by a Control Plan?

Back 12

Process Map, Monitoring, Response/reactions

Front 13

Three types of reactions to a problem issue? (Control Plan)

Back 13

compensate, correct, prevent

Front 14

What elements should be considered for pilot planning?

Back 14

location, size, length, data, who, what, roles, and goals

Front 15

If you cannot conduct a full pilot, what might be some options?

Back 15

simulate some of the steps

Front 16

ABC Analysis

Back 16

Used to rank the order of purchased parts and material according to the annual dollar value spent on each.

Front 17

Acceptable Quality Level

Back 17

When a continuing series of lots is considered, a quality level that, for the purposes of sampling inspection, is the limit of a satisfactory process average.

This is usually defined as the worst case quality level, in percentage or ratio that is still considered acceptable.

Front 18

Acceptance Sampling Plan

Back 18

A specific plan that indicates the sampling sizes and the associated acceptance or non-acceptance criteria to be used.

Front 19

Acceptance Sampling

Back 19

Inspection of a sample from a lot to decide whether to accept or not accept that lot. There are two types: attributes sampling and variables sampling.

Front 20

Accounts Payable

Back 20

The dollar amount of items a company has purchased but has not yet paid. Listed on the Balance Sheet under Current Liabilities.

Front 21

Accounts Receivable

Back 21

The dollar amount of products a company has sold but has yet to receive payment. Listed on the Balance Sheet under Current Assets.

Front 22

Adaptive Control

Back 22

A defect prevention method that detects errors or possible errors during processes before they can become defects.

Front 23

Aliasing

Back 23

When two factors or interaction terms are set at identical levels throughout the entire experiment (i.e., the two columns are 100% correlated).

Front 24

Analysis Of Means (ANOM)

Back 24

A statistical and graphical procedure for analyzing treatments, in which each treatment mean, rate, or proportion is tested against the overall mean, rate, or proportion of the overall data set.

Front 25

Asynchronous Pull

Back 25

(2-Bin) A type of pull system using two “bins” (a bin could be a card, or tote, or physical location, etc).

Two bins of material are located at a station. When the first bin is emptied, the operator sends the empty bin to a location to be refilled, and begins working from the second bin. The first bin will be returned full prior to the emptying of the second bin.

Front 26

Availability Level

Back 26

One of the 3 measures used to calculate overall equipment effectiveness. It represents the percent of time a machine is available to run parts.

Front 27

Average

Back 27

The average of a sample (x-bar) is the sum of the values of the sample divided by the sample size.

Front 28

Balance Sheet

Back 28

Describes a company’s assets, liabilities, and owner’s equity.

Front 29

Balanced Design

Back 29

An experimental design where all cells (i.e. treatment combinations) have the same number of observations.

Front 30

Batch

Back 30

A run of like products/parts through a process (number of product/parts run between product changeover).

Front 31

Bay Build

Back 31

All parts and material are assembled in one location. The assembly is not moved to progressive stations, but rather the material and operators are moved to the assembly.

Typically used for large equipment that is difficult to transport during assembly.

Front 32

Benchmarking

Back 32

An improvement process in which a company measures its performance against that of best-in-class companies, determines how those companies achieved their performance levels, and uses the information to improve its own performance.

Front 33

Bias

Back 33

In statistics, the bias of an estimator is the difference between the mean of its sampling distribution and its corresponding population parameter. If there is no difference, the estimator is unbiased.

Front 34

Bill of Material (BOM)

Back 34

The listing of all components used to make up an assembly. The relationship between the end item assembly (bike) and all lower level items or assemblies (wheel, seat, etc).

Front 35

Bimodal Distribution

Back 35

A frequency distribution that has two peaks. Usually an indication of samples from two processes incorrectly analyzed as a single process.

Front 36

Binomial Distribution

Back 36

In probability theory and statistics, the binomial distribution is the discrete probability distribution of the number of successes in a sequence of n independent yes/no trials, each of which yields success with probability p. The probability of the alternative outcome is 1-p=q.

Front 37

Blitz

Back 37

(Kaizen) A Japanese term that means gradual unending improvement by doing little things better and setting and achieving increasingly higher standards. Masaaki Imai made the term famous in his book Kaizen: The Key to Japan's Competitive Success.

Front 38

Takt Time

Back 38

The available production time divided by customer demand.

For example, if a widget factory operates 480 minutes per day and customers demand 240 widgets per day, takt time is two minutes. The purpose of takt time is to precisely match production with demand. It provides the heartbeat of a lean production system.