Homework answers / question archive / Saudi Electronic University MGT 530 Process layout and process layout objectives 1)A common goal in designing process layouts is: A

Saudi Electronic University MGT 530 Process layout and process layout objectives 1)A common goal in designing process layouts is: A

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Saudi Electronic University

MGT 530

Process layout and process layout objectives

1)A common goal in designing process layouts is:

A.            minimizing the number of workers.

B.            minimizing idle time.

C.            minimizing transportation costs.

D.            maximizing workstation productive time.

E.            maximizing transportation distances.

 

2. The type of layout which features departments or other functional groupings in which similar activities are performed is:

A.            process.

B.            product.

C.            fixed-position.

D.            mass.

E.            unit.

 

3. Layout design has many objectives, one of which is:

A.            reduce bottlenecks.

B.            move materials and workers simultaneously.

C.            use workers and space efficiently.

D.            hold material handling costs to 27 percent or less.

E.            install computer terminals every 500 feet.

 

4. A service organization (for example, a hospital) is likely to use a(n)      layout because of variability in customer processing requirements.

A.            project

B.            process

C.            flow

D.            assembly

E.            nonrepetitive

 

Cycle time

5. The minimum possible cycle time in a product layout is determined by the:

A.            longest task time.

B.            shortest task time.

C.            average task time.

D.            total task time.

E.            per-unit setup time.

 

6. Daily capacity of a product layout is determined by:

A.            cycle time divided by operating time.

B.            operating time divided by cycle time.

C.            operating time divided by total task time.

D.            total task time divided by cycle time.

E.            cycle time divided by total task time.

 

7. The maximum allowable cycle time is computed as:

A.            daily operating time divided by the desired output.

B.            desired output divided by the daily operating time.

C.            daily operating time divided by the product of the desired output and the sum of job times.

D.            the product of desired output and the sum of job times divided by daily operating time.

E.            1.00 minus station time.

 

8. Which of the following is not an information requirement for the design of a process layout?

A.            a list of departments or work centers

B.            a projection of work flows between the work centers

C.            the distance between locations

D.            the cost per unit of distance to move loads

E.            a list of product cycle times for every product manufactured

Bottleneck solutions

9.            Unbalanced systems are evidenced by:

A.            top-heavy operations.

B.            labor unrest.

C.            bottleneck operations.

D.            increasing capacities.

E.            assembly lines.

 

 

10.          Students at a major university must go through several registration steps. Officials have observed that it is typically the case that the waiting line at the fee- payment station is the longest. This would seem to suggest that the fee-payment station is the  in the student registration process.

A.            capacity cushion

B.            first station

C.            bottleneck

D.            economy of scale

E.            diseconomy of scale

 

Positional weight

11.          In a product layout, the task of deciding how to assign work to specific stations is referred to as:

A.            process balancing.

B.            task allocation.

C.            line balancing.

D.            work allocation.

E.            station balancing.

 

12.          The minimum possible cycle time in a product layout is determined by the:

A.            longest task time.

B.            shortest task time.

C.            average task time.

D.            total task time.

E.            per-unit setup time.

 

Maximax, Maximin, Minimax

13.          The term opportunity loss or regret is most closely associated with:

A.            minimax regret

B.            maximax

C.            maximin

D.            expected monetary value

E.            Laplace

 

14.          Determining the worst payoff for each alternative and choosing the alternative with the "best worst" is the approach called:

A.            minimin

B.            maximin

C.            maximax

D.            minimax regret

E.            Laplace

 

15.          The maximin approach to decision-making refers to:

A.            minimizing the maximum return

B.            maximizing the minimum return

C.            maximizing the minimum expected value

D.            choosing the alternative with the highest payoff

E.            choosing the alternative with the minimum payoff Maximin seeks out the most attractive worst case scenario.

 

16.          The term opportunity loss or regret is most closely associated with:

A.            minimax regret

B.            maximax

C.            maximin

D.            expected monetary value

E.            Laplace

 

17.          The term sensitivity analysis is most closely associated with:

A.            maximax

B.            maximin

C.            decision-making under risk

D.            minimax regret

 

E.            Laplace criterion

 

Payback period

18.          The method of financial analysis which focuses on the length of time it takes to recover the initial cost of an investment is:

A.            payback.

B.            net present value.

C.            internal rate of return.

D.            queuing.

E.            cost-volume.

 

Manufacturability

19.          Knowledge about challenges specific to the operations function can help marketing personnel to judge how                new product designs will be.

A.            marketable

B.            segmentable

C.            manufacturable

D.            measurable

E.            nameable

 

House of Quality

20.          The structural approach for integrating customer requirements into every aspect of product development is known as:

A.            total quality management.

B.            customer satisfaction.

C.            quality function deployment.

D.            customer integration.

E.            a product development team.

 

21.          A formal way to document customer requirements is:

A.            consumer surveys.

B.            quality function deployment.

C.            focus groups.

D.            the Delphi technique.

E.            a sales/marketing matrix.

 

22.          Elements of the service process in which there is little to no contact with the customer are referred to as:

A.            robust.

B.            delayed differentiators.

C.            back-of-the-house.

D.            user-friendly.

E.            mission-consistent.

 

Kano Model

23.          Excitement characteristics are categories in the model.

A.            bipolar

B.            Kano

C.            Pareto

D.            quality

E.            service matrix

 

Correlation

24.          Two widely used metrics of variation are the      and the .

A.            mean; standard deviation

B.            productivity ratio; correlation

C.            standardized mean; assignable deviation

D.            randomized mean; standardized deviation

E.            normal distribution; random variation

 

 

25.          The mean and standard deviation summarize important facets regarding the variation in a process. Detecting nonrandomness in errors can be done using:

 

A.            MSEs.

B.            MAPs.

C.            control charts.

D.            correlation coefficients.

E.            strategies.

 

26.          A persistent tendency for forecasts to be greater than or less than the actual values is called:

A.            bias.

B.            tracking.

C.            control charting.

D.            positive correlation.

E.            linear regression.

 

27.          Which term most closely relates to associative forecasting techniques?

A.            time series data

B.            expert opinions

C.            Delphi technique

D.            consumer survey

E.            predictor variables

 

 

Seasonality

28.          When choosing a forecasting technique, a critical trade-off that must be considered is that between:

A.            time series and associative.

B.            seasonality and cyclicality.

C.            length and duration.

D.            simplicity and complexity.

E.            cost and accuracy.

 

29.          The more novel a new product or service design is, the more forecasters have to rely on:

A.            subjective estimates.

B.            seasonality.

C.            cyclicality.

D.            historical data.

E.            smoothed variation.

 

30.          The primary difference between seasonality and cycles is:

A.            the duration of the repeating patterns.

B.            the magnitude of the variation.

C.            the ability to attribute the pattern to a cause.

D.            the direction of the movement.

E.            there are only four seasons but 30 cycles.

 

31.          In the additive model for seasonality, seasonality is expressed as a          adjustment to the average; in the multiplicative model, seasonality is expressed as a           adjustment to the average.

A.            quantity; percentage

B.            percentage; quantity

C.            quantity; quantity

D.            percentage; percentage

E.            qualitative; quantitative

 

32.          Which of the following mechanisms for enhancing profitability is most likely to result from improving short-term forecast performance?

A.            increased inventory

B.            reduced flexibility

C.            higher-quality products

D.            greater customer satisfaction

E.            greater seasonality

 

Regression

33.          Minimizing the sum of the squared deviations around the line is called:

A.            mean squared error technique.

B.            mean absolute deviation.

C.            double smoothing.

D.            least squares estimation.

E.            predictor regression.

 

34.          Using the latest observation in a sequence of data to forecast the next period is:

A.            a moving average forecast.

B.            a naive forecast.

C.            an exponentially smoothed forecast.

D.            an associative forecast.

E.            regression analysis.

 

35.          The primary method for associative forecasting is:

A.            sensitivity analysis.

B.            regression analysis.

C.            simple moving averages.

D.            centered moving averages.

E.            exponential smoothing.

 

36.          Minimizing the sum of the squared deviations around the line is called:

A.            mean squared error technique.

B.            mean absolute deviation.

C.            double smoothing.

D.            least squares estimation.

E.            predictor regression.

 

37.          Which of the following corresponds to the predictor variable in simple linear regression?

A.            regression coefficient

B.            dependent variable

C.            independent variable

D.            predicted variable

E.            demand coefficient

 

38.          Use of simple linear regression analysis assumes that:

A.            variations around the line are nonrandom.

B.            deviations around the line are normally distributed.

C.            predictions can easily be made beyond the range of observed values of the predictor variable.

D.            all possible predictor variables are included in the model.

E.            the variance of error terms (deviations) varies directly with the predictor variable.