Set 4 Flashcards
(33 cards)
Push Scheduling System
Push Systems are driven by forecasts. Batch sizes are determined and then pushed through the system. The tasks are completed and the batch pushed to the next stage in the process. Kanban avoids the disadvantages of a Push system.
Pull Scheduling System
Pull Systems are driven by demand where a demand event initiates upstream processing activities. Kanban is a Pull Scheduling System.
Just-in-Time Scheduling Systems
Units arrive just as they are needed. This eliminates, or at least minimizes, in-process inventories.
X-Y Matrix
Also called a correlation matrix. It is a structured approach to determining those inputs that have the most affect on influencing desired process outputs.
X-Y Matrix: Layout of Matrix
Inputs are entered down the left hand column. Outputs entered across the top of the matrix. The right hand column establishes the contribution of the inputs to the outputs. Those inputs that have the most effect will receive the highest score.
X-Y Matrix: Ranking of Outputs
Outputs are ranked on a scale of 1 to 10. The most important output scored as a 10.
X-Y Matrix: Extent of Relationship
An estimate of the relationship between the input and output variables. The more importance the input variable has on the output, the higher the score. Scores range from 1 to 10.
X-Y Matrix: Weighted Impact
Multiplication of the extent of relationship by level of importance. The product of the two is used to rank inputs.
Two-Bin Kanban
A Kanban System for creating a Pull Inventory System using two bins. Stock units are placed in two bins. Depletions are drawn from the first bin, and when that bin is empty, a reorder is placed. Users then start withdrawing from bin 2. When bin 1 is replenished, then it becomes bin 2.
Measurement Variation
Not all measurements are consistent. Measuring an object, behavior or performance can vary. This variation can be traced to two sources: the measurement system itself and human error.
Gage R&R Study
Focuses on whether individuals collecting the data or performing the tests are consistent with their own measurements, and whether the variation between different people involved in the data collection is consistent.
Gage R&R Repeatability
The situation where a single person performing repeated tests on the same unit arrives at consistent measurements?
Gage R&R Reproducibility
A test to determine if different people performing the same test on the same units reach consistent measurement results?
Crossed Gage R&R Study
A test that focuses on the consistency of the measurement process where each operator measures each part. Comparisons are then made to assure consistency.
Nested Gage R&R Study
A test that focuses on the consistency of the measurement process where each operator measures a different part from the same batch. It is necessary to use this approach when the test is destructive as in testing auto air bags.
Gage R&R Precision
Refers to the closeness of two or more measurements to each other. However, just because the measurements are close does not mean that they are accurate.
Gage R&R Accuracy
The proximity of measurement results to the true value. It means that the data are indeed a true representation of what it is we are trying to measure.
Control Plan
A plan that specifies the management and control of a quality control process.
Seven Elements of a Control Plan
- Measurements and Specifications
- Input-Output Process
- Process Execution
- Performance Reporting and Sampling
- Documenting Information
- Corrective Actions
- Process Owner
Response Plan
A plan that specifies the steps that must be followed should a process be out of control.
Classes of Distribution
Normal
Binomial
Poisson
T
Chi Square
F
A Bell Shaped Distribution
Data items cluster toward the center, and are symmetrically spread out on either side of the mean.
A symmetrical distribution where most of the data centers around the mean.
Normal Distribution
Total area under the normal distribution curve.
100 Percent
