2. Copper tubing is used to convey 30% Prop Glycol. The system consists of 6.56 ft of 1 std type M tubing attached in series to 9.84 ft of 3/4 std type M copper tubing, as indicated in the Figure. The flow rate of the system is 15.85 gpm. Using E-pipeAlator, determine the head loss over the 16.40 ft length of the tubing. All fittings are welded. * = 5.9e-5 inch. Redo the problem for a similar copper tubing system without pipe size reduction (1 std type is used for the entire length). Determine the percentage increase in the head loss due to size reduction.

how to create gnatt chart using excel on the impletation process of new admit discharge patient and master patient index installation?

Prepare a run diagram for this emergency call data. Use five-minute intervals (i.e., count the calls received in each five- minute interval. Use intervals of 0-4, 5-9, etc.). Note: Two or more calls may occur in the same minute; there were three operators on duty this night. What can you conclude from the run chart? Call Time Call Time Call Time 1 2 3 4 5 6 7 8 9 10 11 1:03 1:06 1:09 1:11 1:12 1:17 1:21 1:27 1:28 1:29 1:31 12 13 14 15 16 17 18 19 20 21 22 1:36 1:39 1:42 1:43 1:44 1:47 1:48 1:50 1:52 1:53 1:56 23 24 25 26 27 28 29 30 31 32 33 1:56 2:00 2:00 2:01 2:02 2:03 2:03 2:04 2:06 2:07 2:08 Call 34 35 36 37 38 39 40 41 42 Time 2:08 2:11 2:12 2:12 2:13 2:14 2:14 2:16 2:19 a. re-organize the above data for your analysis (using five-minute intervals; 0-4, 5-9, etc) b. Provide your diagram that shows the number of emergency calls by eacn five-minute intervals from 1am to 2:20am c. what can you conclude from the chart?

I Material II Equipment Mechanical failures IV III Passenger processing delays at gate Proced Question Viewer Match each number in the chart with its corresponding cause. Number Cause || IV = Personnel V

The county sheriff’s department responded to an unusually large number of vehicular accidents along aquarter-mile stretch of highway in recent months. Prepare a cause-and-effect diagram for this problem.

Different types of alarms involved in the process industry.

ANSWER AS BEST AS YOU CAN FOR A THUMBS UP An oriented-strand board manufacturer operated its plant on a 24-hour, 7-day work week with two 12-hours shifts. Shift changes occurred at 8:00 am and 8:00 pm. At approximately 8:30 pm on January 18, 2001, a wet hog, which was located in a wood room, dropped off line and would not operate.                                                             The wet hog was used to grind tree bark and wood residue into a wet fuel used in wet-fuel burners in the plant. The wet hog was not essential to the operation of the plant, and whether or not it was operating had no effect on other operations in the plant.                                                            An electrician was assigned to repair the hog. At approximately 10:30 pm, he entered the motor control room and opened a 2300-volt motor circuit breaker. He caused an electrical fault in the circuit breaker, apparently by contacting energized parts inside the circuit breaker cubicle, and…

Problem 10-7 (Algo) The postmaster of a small western town receives a certain number of complaints each day about mall delivery. DAY Number of complaints UCL LCL b. Is the process in control? O No 1 4 Yes 2 3 11 15 4 5 8 sa 9 6 6 7 5 Click here for the Excel Data File a. Determine two-sigma control limits using the above data. (Round your Intermediate calculations to 4 decimal places and final answers to 3 decimal places. Leave no cells blank - be certain to enter "0" wherever required. Round up any negative control limit value to zero.) 8 12 9 15 10 11 12 13 14 6 4 2 11 7

8.  A teller at a drive-up window at a bank had the following service times (in minutes) for 20 randomly selected customers: SAMPLE 1 2 3 4 4.5 4.6 4.5 4.7 4.2 4.5 4.6 4.6 4.2 4.4 4.4 4.8 4.3 4.7 4.4 4.5 4.3 4.3 4.6 4.9 Select a chart to monitor the central tendency of the process, what are the 3-sigma control limits using a mean chart? Keep 3 decimal places.   Select one: a. LCL = 4.212, UCL = 4.788 b. LCL = 4.414, UCL = 4.586 c. LCL = 4.245, UCL = 4.755 d. None of the other options. e. LCL = 4.385, UCL = 4.615

Management of Mittel Rhein AG of Köln, Germany, would like to reduce the amount of time between when a customer places an order and when the order is shipped. For the first quarter of operations during the current year the following data were reported: Inspection time-    0.7    daysWait time (from order to start of production)    -16.6    daysProcess time    -2.7    daysMove time    -1.3    daysQueue time-    4.5    daysRequired:1. Compute the throughput time. (Round your answer to 1 decimal place.) 2. Compute the manufacturing cycle efficiency (MCE) for the quarter. (Round your answer to the nearest whole percentage (i.e., 0.12 should be entered as 12).) 3.    What percentage of the throughput time was spent in non–value-added activities? (Round your answer to the nearest whole percentage (i.e., 0.12 should be entered as 12).) 4.    Compute the delivery cycle time. (Round your intermediate calculations and final answer to 1 decimal place.) 5.    If by using Lean Production all queue…