This 'operations final exam prep' quiz assesses knowledge in operations management, focusing on forecasting techniques for different time ranges, identifying time series characteristics, and understanding patterns in data. It's designed to prepare for advanced understanding and application in real-world business scenarios.
True
False
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Aggregate Plan
Master Production Schedule
Material Requirements Plan
Capacity Requirements Plan
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Elimination of waste
Batching
Increased speed and response
Improved quality
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Only a parent
Only a component
Both a parent and a component
Neither a parent or a component
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X-bar chart
R-chart
Cpk chart
C-chart
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Long-range
Intermediate-range
Short-range
Demand planning
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80% of the variability in the independent variable is explained by the dependent variable
80% of the variability in the dependent variable is explained by the independent variable
80% of the variability in the dependent variable is not explained by the independent variable
Multiple regression was used
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The month in which demand is 250
The month in which demand is 400
the month in which demand is 200
The month in which demand is 350
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Removing common causes of variation
Removing special (or assignable) causes of variation
Removing all causes of variation
Computing process capability
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Use quantitative rather than qualitative methods.
Never ask experts to justify their forecasts in writing.
Use multiple measures of forecast accuracy
Combine forecasts from approaches that differ
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Level production
Chase Demand
Mixed
Lot-for-Lot (LFL)
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Eliminate waste
Reduce workforce
Increase speed and response
Reduce cost
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Trends
Seasonal patterns
Cyclical patterns
Irregular patterns
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An explosion
Gross requirements
Scheduled receipts
Lot sizing
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Long-range
Short-range
Intermediate-range
Demand planning
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Only irregular variation is present
Only a trend is present
There is no trend, seasonal, or cyclical pattern
Trend, seasonal, and cyclical patterns all exist
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Aggregate planning - Level 1
Disaggregation - Level 2
Execution - Level 3
Capacity requirements planning
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Lot for Lot (LFL)
Fixed order quantity (FOQ)
Periodic order quantity (POQ)
All rules provide the same result
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Flowchart
Pareto analysis
Cause-and-effect diagram
Scatter diagram
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Visual controls
Single minute exchange of dies
5Ss
Six Sigma
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Motion
Ordering
Inventory
Waiting
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Activities not adding value are a waste.
Accidents are a form of waste.
A pull system produces waste.
Overproduction is a form of waste
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Works best for long-term forecasting
Yields a mathematically optimal solution
Assigns weights to past data that decay exponentially as the data gets older
Cannot be adapted to handle trend
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Minimize the work force size
Maximize the production rate
Minimize the cost of meeting demand
Optimize the inventory level
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Create a vision and demonstrate commitment
Stop making decisions purely on the basis of cost
Eliminate exhortation
The only performance standard is Zero Defects
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Run chart
Cause-and-effect diagram
Scatter diagram
Flow chart
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Out of control; in control
In control, out of control
Capable; not capable
Not capable, capable
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Hiring extra retired judges to process foreclosures.
Shifting civil and criminal court work to slack periods so foreclosures could be processed
Increase the price of court filing fees to influence demand
Apply the Theory of Constraints to this court system
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Authorizes production
Authorizes suppliers to produce
Authorizes the transfer of an empty container
Autorizes shipping to customers
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Time bucket
Trend
Cyclical
Random variation
MSE
MAD
RMSE
MAPE
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Determining the planning horizon length.
Determining the time bucket size (i.e., year, quarter, month, week, day, etc.).
Using a smoothing constant of 0.1 in Delphi methods of forecasting
. Identifying cyclical patterns.
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The 14 Points
ISO 9000:2000
The Gap model
Six Sigma
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Supplier certification and management
In-process control
Finished goods control
Statistical process control
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X-bar chart
P-chart
C-chart
R-chart
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Utilization must be near 100%
An hour lost has no effect on total process or factory output.
Use large order sizes to minimize setups
Work-in-process buffer inventory should be placed in front of non-bottlenecks
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Aggregate planning - Level 1
Disaggregation - Level 2
Execution - Level 3
Capacity requirements planning
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Building a new plant
Promotion and advertising
Subcontraction
Layoffs
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People responsible for their work
Quality control managers
Front line supervisors
Top management
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Counting
Visual inspection
Good or bad
Weight
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Nothing
Look for assignable causes
Delete the sample with 0.044 defects and take another sample tha tis better
None of these choices
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Inventory levels will increase.
Component parts and subassemblies will be replenished only when needed
Dealer parking lot space will need to be increased
Finished goods inventory will decrease, but raw materials and work-in-process inventories will increase.
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Lag
Overshoot
Be on target
Have a MAD equal to zero
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Smoothing constant (alpha)
Time span for which forecast is made
Data requirements
Quantitative skills needed
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Agreggate planning - Level 1
Disaggregation - Level 2
Execution - Level 3
Capacity requirements planning
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Minimizes purchase or setup costs
Is best used for low inventory carrying costs and high purchase order costs
Is best applied when inventory carrying costs are high and setup/order costs are low
Masks the true nature of dependent demand
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Define
Measure
Analyize
Improvise
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Controllable at the sources
Called assignable cause
Can be reduced by statistical process control methods
Inherent (i.e., present) in every process
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