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15: SIMULATION MULTIPLE CHOICE 1. A simulation model uses the mathematical expressions and logical relationships of the a. real system. b. computer model. c. performance measures. d. estimated inferences. 2. Values for the probabilistic inputs to a simulation a. are selected by the decision maker. b. are controlled by the decision maker. c. are randomly generated based on historical information. d. are calculated by fixed mathematical formulas. 3. A quantity that is difficult to measure with certainty is called a a. risk analysis. b. project determinant. c. probabilistic input. d. profit/loss process. 4. A value for probabilistic input from a discrete probability distribution a. is the value given by the RAND() function. b. is given by matching the probabilistic input with an interval of random numbers. c. is between 0 and 1. d. must be non-negative. ANSWER: b TOPIC: Simulation approach 5. The number of units expected to be sold is uniformly distributed between 300 and 500. If r is a random number between 0 and 1, then the proper expression for sales is a. 200(r) b. r + 300 c. 300 + 500(r) d. 300 + r(200) 6. When events occur at discrete points in time a. a simulation clock is required. b. the simulation advances to the next event. c. the model is a discrete-event simulation. d. All of the alternatives are correct. 7. If customer 2 has a service time of 1.6, and if customer 3 has an interarrival time of 1.1 and a service time of 2.3, when will customer 3’s service be completed? a. 5.0 b. 3.9 c. 3.4 d. There is not enough information to answer. 8. Common features of simulations--generating values from probability distributions, maintaining records, recording data and summarizing results--led to the development of a. Excel and Lotus. b. BASIC, FORTRAN, PASCAL, and C. 1
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2 Chapter 15 Simulation c. GPSS, SIMSCRIPT, SLAM, and Arena d. LINDO and The Management Scientist 9. In order to verify a simulation model a. compare results from several simulation languages. b. be sure that the procedures for calculations are logically correct. c. confirm that the model accurately represents the real system. d. run the model long enough to overcome initial start-up results. 10. Simulation a. does not guarantee optimality. b. is flexible and does not require the assumptions of theoretical models. c. allows testing of the system without affecting the real system. d. All of the alternatives are correct. 11. A simulation model used in situations where the state of the system at one point in time does not affect the state of the system at future points in time is called a a. dynamic simulation model. b. static simulation model. c. steady-state simulation model. d. discrete-event simulation model. 12.
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This note was uploaded on 01/26/2012 for the course ADMS ADMS 3330 taught by Professor Adms3330 during the Spring '10 term at York University.

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