Mathematics, 04.03.2021 20:20 charlettethomap7e9st
Parts arrive at a single workstation system according to an exponential interarrival distribution with mean 21.5 seconds; the first arrival is at time 0. Upon arrival, the parts are initially processed. The processing-time distribution is TRIA(16, 19, 22) seconds. There are several easily identif able visual characteristics that determine whether a part has a potential quality problem. These parts, about 10% (determined after the initial processing), are sent to a station where they undergo a thorough inspection. The remaining parts are considered good and are sent out of the system. The inspection-time distribution is 95 plus a WEIB(48.5, 4.04) random variable, in seconds. About 14% of these parts fail the inspection and are sent to scrap. The parts that pass the inspection are classified as good and are sent out of the system (so these parts didn't need the thorough inspection, but you know what they say about hindsight). Run the simulation for 10,000 seconds to observe the number of good parts that exit the system, the number of scrapped parts, and the number of parts that received the thorough inspection Animate your model. Put a text box in your model with the output performance measures requested, and make just one replication.
Answers: 1
Mathematics, 21.06.2019 12:30, wcraig1998
Use the function nest to evaluate p(x) = 1 + x + · · · + x50 at x = 1.00001. (use the matlab ones command to save typing.) find the error of the computation by comparing with the equivalent expression q(x) = (x51 − 1)/(x − 1).
Answers: 3
Mathematics, 21.06.2019 14:20, priscillavaladez1112
Twenty-five percent of the customers entering a grocery store between 5 p. m. and 7 p. m. use an express checkout. consider five randomly selected customers, and let x denote the number among the five who use the express checkout.
Answers: 1
Parts arrive at a single workstation system according to an exponential interarrival distribution wi...
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