Jerusalem Medical Ltd., an Israeli producer of portable kidney dialysis units and other medical products, develops a 4-month aggregate plan. Demand and capacity (inunits) are forecast as follows:Capacity SourceLaborRegular timeOvertimeSubcontractDemandMonth 12451512260Month 22752417316Month 33002620336Month 43001817301The cost of producing each dialysis unit is $875 on regular time, $1,310 on overtime, and $1,600 on a subcontract. Inventory carrying cost is $100 per unit per month.There is to be no beginning or ending inventory in stock and backorders are not permitted.Minimizing cost using the transportation method, the optimal cost is $(enter your response as a whole number).

Answered: Image /qna-images/answer/8973a2d9-62aa-4819-8a79-9a96d1d82e15.jpg

Answered: Jerusalem Medical Ltd., an Israeli…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The production planning period for flat-screen moni-tors at Louisiana’s Roa Electronics, Inc., is 4 months. Cost data are as follows:Regular-time cost per monitor $ 70Overtime cost per monitor $110Subcontract cost per monitor $120Carrying cost per monitor per month $ 4 For each of the next 4 months, capacity and demand for flat-screen monitors are as follows: PERIOD MONTH 1 MONTH 2 MONTH 3 a MONTH 4Demand 2,000 2,500 1,500 2,100CapacityRegular time 1,500 1,600 750 1,600Overtime 400 400 200 400Subcontract 600 600 600 600aFactory closes for 2 weeks of vacation.CEO Mohan Roa expects to enter the planning period with 500monitors in stock. Back ordering is not permitted (meaning, forexample, that monitors produced in the second month cannot beused to cover first month’s demand). Develop a production planthat minimizes costs using the transportation method.
Dave Fletcher, the general manager of North Carolina Engineering Corporation (NCEC), thinks that his firm’s engineer-ing services contracted to highway construction firms are directly related to the volume of highway construction business contractedwith companies in his geographic area. He wonders if this is reallyso, and if it is, can this information help him plan his operationsbetter by forecasting the quantity of his engineering servicesrequired by construction firms in each quarter of the year? Thefollowing table presents the sales of his services and total amountsof contracts for highway construction over the past eight quarters: a) Using this data, develop a regression equation for predictingthe level of demand of NCEC’s services. b) Determine the coefficient of correlation and the standard errorof the estimate.
The operations manager at Sebago Manufacturing is considering three proposals for supplying a critical component for its new line of electric watercraft. Proposal one is to purchase the component, proposal two is make the component in-house using rebuilt equipment, and proposal three is to purchase new, highly automated equipment. The costs associated with each proposal are provided in the table below. Proposal Annual cost ofcapital required Variable cost ofeach component One: purchase $0.00 $22.00 Two: make with rebuiltequipment $150,000.00 $14.00 Three: make with newequipment $450,000.00 $12.50 At what quantity range will each option be preferred?
Federated Electronics, Ltd., manufactures display screensand monitors for computers and televisions, which it sellsto companies around the world. It wants to construct a new warehouse and distribution center in Asia to serve emerg-ing markets there. It has identified potential sites in the port cities of Shanghai, Singapore, Pusan, Kaohsiung, and HongKong and has estimated the possible revenues for each(minus construction costs which are higher in some citieslike Hong Kong). At each site the projected revenues are primarily based on these factors, (1) the economic condi-tions at the port including the projected traffic, infrastruc-ture, labor rates and availability; and expansion and modernization; and (2) the future government situationwhich includes the political stability, fees, tariffs, duties,and trade regulations. Following is a payoff table thatshows the projected revenues (in $ billions) for six years given the four possible combinations for positive and nega-tive port and…
U.S. Manufactured General Aviation Shipments, 2009–2015 Year Qtr 1 Qtr 2 Qtr 3 Qtr 4 Total 2009 332 407 380 470 1,589 2010 240 368 281 426 1,315 2011 263 295 270 465 1,293 2012 305 365 343 518 1,531 2013 332 406 352 507 1,597 2014 343 366 368 521 1,598 2015 285 354 363 536 1,538 Use MegaStat or Minitab to calculate estimated seasonal indexes and trend. (Round your answers to 3 decimal places.) Qtr1Index Qtr2Index Qtr3Index Qtr4Index
Marcia Baker is the new manager of the materials storeroom for Keller Manufacturing. Marcia has been asked to estimate future monthly purchase costs for part #696, used in two of Keller's products. Marciahas purchase cost and quantity data for the past 9 months as follows: Month Cost of Purchase Quantity Purchased January $12,410. 2,730 parts February. 12,880 2,880 March 17,505 4,148 April 15,869 3,761 May 13,170 2,912 June 13,867 3,332 July 15,237 3,644 August 10,061 2,287 September 14,960 3,582 Estimated monthly purchases for this part based on expected demand of the two products for the rest of the year are as follows: Month Purchase Quantity Expected October…
How common are financial cost or contractual constraints associated with smartphone ownership? A survey of smartphone owners found that 48% of the 18- to 29-year-olds, 38% of the 30- to 49-year-olds, 25% of the 50- to 64-year-olds, and 19% of those age 65 or older have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion. Suppose the survey was based on 200 smartphone owners in each of the four age groups: 18 to 29, 30 to 49, 50 to 64, and 65+. a. At the 0.05 level of significance, is there evidence of a differ-ence among the age groups in the proportion of smartphone owners who have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion? b. Determine the p-value in (a) and interpret its meaning. c. If appropriate, use the Marascuilo procedure and a=0.05 to determine which age groups differ.
How common are financial cost or contractual constraints associated with smartphone ownership? A survey of smartphone users found that 48% of the 18- to 29-year-olds, 39% of the 30- to 49-year-olds, 24% of the 50- to 64-year-olds, and 19% of those age 65 or older have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion: Suppose the survey was based on 300 smartphone owners in each of the four age groups: 18 to 29, 30 to 49, 50 to 64, and 65 and older. Complete parts (a) through (c). a. At the 0.05 level of significance, is there evidence of a difference among the age groups in the proportion of smartphone owners who have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion? Find the test statistic x 2 stat? and critcal value
How common are financial cost or contractual constraints associated with smartphone ownership? A survey of smartphone users found that 49% of the 18- to 29-year-olds, 40% of the 30- to 49-year-olds, 25% of the 50- to 64-year-olds, and 19% of those age 65 or older have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion: Suppose the survey was based on 200 smartphone owners in each of the four age groups: 18 to 29, 30 to 49, 50 to 64, and 65 and older The critical value for this test is ? (round to three decimal points as needed)
How common are financial cost or contractual constraints associated with smartphone ownership? A survey of smartphone users found that 49% of the 18- to 29-year-olds, 37% of the 30- to 49-year-olds, 22% of the 50- to 64-year-olds, and 19% of those age 65 or older have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion: Suppose the survey was based on 200 smartphone owners in each of the four age groups: 18 to 29, 30 to 49, 50 to 64, and 65 and older. Complete parts (a) and (b) below. Use the table here to enter your data then use the TI-84 Tests. Reached Max Data 18-29 30-49 50-64 65+ Yes No Totals At the 0.05 level of significance, is there evidence of a difference among the age groups in the proportion of smartphone owners who have reached the maximum amount of data they are allowed to use as…
The (partial) cost sheet for the single product manufactured at Briarcliff Corporation follows: Direct labor (2 hours @ $30) $ 60 Variable overhead (2 hours @ $9) 18 Fixed overhead (2 hours @ $11) 22 The master budget level of production is 45,570 direct labor-hours, which is also the production volume used to compute the fixed overhead application rate. Other information available for operations over the past accounting period include the following: Actual variable overhead incurred $ 582,000 Actual fixed overhead incurred 480,100 Direct labor efficiency variance 80,100 F Variable overhead price variance 142,800 U Required:a. What was the variable overhead efficiency variance?b. What was the fixed overhead price variance?c. What was the fixed overhead production volume variance?
A municipal solid-waste site for a city must be located at Site A or Site B. After sorting, some of the solid refuse will be transported to an electric powerplant where it will be used as fuel. Data for the hauling of refuse from each site to the power plant are shown in Table P2-4. If the power plant will pay $8.00 per cubic yard of sorted solid waste delivered to the plant, where should the solid-waste site be located? Use the city’s viewpoint and assume that 200,000 cubic yards of refuse will be hauled to the plant for one year only. One site must be selected.

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