The actual usage for grain depends on which llamas show up at feeding time, thus there is an average need for 50 pounds of grain each day with a standard deviation of five pounds. In addition, there is some variability in how long it takes the feed store to whip up a batch of llama feed. The standard deviation of the feed prep is one day. The farm is willing to tolerate a 2% chance of running out of feed before they can get some more hauled in. Which adjustment to their system would have the greatest impact on the reorder point? A. increase the standard deviation of daily demand to 10 pounds O B. reduce the average daily demand to 45 pounds O c. lower the standard deviation of the lead time to one half of a day OD. decrease the service level to 90

White company has two departments, cutting and finishing. the company uses a job-order costing system and computes a predetermined overhead rate in each department. the cutting department bases its rate on machine-hours, and the finishing department bases its rate on direct labor-hours. at the beginning of the year, the company made the following estimates: department cutting finishing direct labor-hours 6,000 30,000 machine-hours 48,000 5,000 total fixed manufacturing overhead cost $ 264,000 $ 366,000 variable manufacturing overhead per machine-hour $ 2.00 " variable manufacturing overhead per direct labor-hour " $ 4.00 required: 1. compute the predetermined overhead rate for each department. 2. the job cost sheet for job 203, which was started and completed during the year, showed the following: department cutting finishing direct labor-hours 6 20 machine-hours 80 4 direct materials $ 500 $ 310 direct labor cost $ 108 $ 360 using the predetermined overhead rates that you computed in requirement (1), compute the total manufacturing cost assigned to job 203. 3. would you expect substantially different amounts of overhead cost to be assigned to some jobs if the company used a plantwide predetermined overhead rate based on direct labor-hours, rather than using departmental rates?

Recently, verizon wireless ran a pricing trial in order to estimate the elasticity of demand for its services. the manager selected three states that were representative of its entire service area and increased prices by 5 percent to customers in those areas. one week later, the number of customers enrolled in verizon's cellular plans declined 4 percent in those states, while enrollments in states where prices were not increased remained flat. the manager used this information to estimate the own-price elasticity of demand and, based on her findings, immediately increased prices in all market areas by 5 percent in an attempt to boost the company's 2016 annual revenues. one year later, the manager was perplexed because verizon's 2016 annual revenues were 10 percent lower than those in 2015"the price increase apparently led to a reduction in the company's revenues. did the manager make an error? yes - the one-week measures show demand is inelastic, so a price increase will decrease revenues. yes - the one-week measures show demand is elastic, so a price increase will reduce revenues. yes - cell phone elasticity is likely much larger in the long-run than the short-run. no - the cell phone market must have changed between 2011 and 2012 for this price increase to lower revenues.

Imagine us is a startup that offers high definition 3d prenatal ultrasounds for high-end customers. the service process includes four activities that are conducted in the sequence described below. (the time required for each activity is shown in parentheses): activity 1: welcome a patient and explain the procedure. (20 minutes)activity 2: prep the patient (e. g., show them to the room, apply ultrasound gel). (17 minutes) (*your id number represents the amount of time needed to complete this task)activity 3: take images. (5 minutes)activity 4: discuss diagnostic with patient. (20 minutes)at each location there are employees (servers) s1, s2, and s3. the assignment of tasks to servers is the following: s1 does activities 1 and 2.s2 does activity 3.s3 does activity 4.a. what is the capacity of this process (in customers per hour)? b. suppose 3 patients arrive every hour on average. ignoring any “start of day” or “end of day” effects, what are the utilizations of all three servers (%)? c. suppose each activity can be done by any server and any server can do any set of activities. however, each activity is done by only one server. for example, a possible assignment includes: s1 does activity 1, s2 does activity 2, and s3 does activities 3 and 4. of course, the original assignment of servers to activities is also feasible. what is the maximum capacity of the process (in customers per hour)? d. now consider the capacity measures in (c) and (a), what is the percentage change? why can you improve capacity without using additional resources? (there is no free lunch, right? )note: for all hw assignments, show your process of getting the results. only providing the final answers is not acceptable and will get 0%. if necessary, use a separate sheet of paper to show your work.