MGT 3113 Raghavan Oper Mgmt Spring 2018 Exam 2 Closed book/Notes ame (Plcase pri
ID: 351062 • Letter: M
Question
MGT 3113 Raghavan Oper Mgmt Spring 2018 Exam 2 Closed book/Notes ame (Plcase print) Please answer the following ten questions by picking the best answer from among the ones provided after each question. Each answer is worth 3 points . A Fixed Position Layout is evidenced by the product being rather small and easy to move around by an assembly line conveyer belt. True False 2. The maximum amount of time a product is allowed to spend at each workstation is known as the cycle time. True False 3. The process of equalizing the amount of work at each workstation in a product layout is known as a. Critical time analysis b. Precedence requirements c. Block diagraming d. Line balancing 4. A product layout is well suited for producing products in high volume True False 5. An exponential smoothing forecasting technique requires all of the following except a. the forecast for the curent period b. the actual demand for the current period c. a smoothing constant d. a good current weather forecast 6. A seasonal factor refers to a portion of the demand that depends on the season of the year True False 7. All forecasts have some degree of error associated with them. A good forecast has the least amount of error. True FalseExplanation / Answer
1. False
A fixed position layout is used where products are rather bulky, too large or fragile to move around. In this layout, personnel, machines, equipment and supplies are moved to the site of product being assembled.
2. False
It is known as the desired cycle time or takt time. Cycle time is the time between subsequent units coming off the assembly line.
3. d. Line balancing
4. True
Product layout is well suited for mass production or jobs requiring repetitive operation.
5. d. a good current weather forecast
Exponential smoothing is computed by the formula: forecast for current period + Smoothing constant * ( actual demand for current period - forecast for current period)
6. True
7. True
A good forecast is as close to actual as possible. Therefore, it has the least possible error.
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