Question 1An NC winery makes 4 types (1-4) of wine measured in gallons per year.Maximize profit.Formulate the LP and solve in a solver.Production involves Labor, Tank mixing time, Warehouse Aging.Local emissions laws limit total annual production to 100000 gallonsWine gallon61220301234profit Labor Hrs TankHrsgallon.5.511.532000Capacity:gallon.2.3.3.512000Answers rounded DOWN to nearest integer:Total annual profit 68Total amount of wine 1 in optimal solutionTotal amount of wine 4 in optimal solutionAgingWarehouse.3333 year1year2years3.333years50000gallons

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Answered: An NC winery makes 4 types (1-4) of…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter7: Nonlinear Optimization Models

Section: Chapter Questions

Problem 56P

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ca/d21/le/content/775993/viewContent/6496162/View YouTube W Maps 4. Retaining Walls R Us has received numerous complaints from its major customer Humungous Warehouse about the accuracy and reliability of its shipments. You decide to collect data on the defective shipments REASON FOR DEFECTIVE SHIPMENT No. OF INCORRECT No. OF SHIPMENTS BILL OF INCORRECT DAMAGED TRUCKS WEEK SHIPMENTS WITH DEFECTS LADING TRUCKLOAD PRODUCT LATE 1 23 31 8. 1 4. 1 3 28 6 3 1 4 37 11 4. 4 35 10 4 1. 6. 40 14 6. 3. 7. 41 12 3 1 8. 44 15 Heizer and Render, 2006 You have consistently exceeded your regular output of 30 shipments per week and wonder if that may have something to do with the number of defects. Develop a scatter diagram using total number of shipments and number of defective shipments. Does there appear to be a relationship? Civon thatunurwnrlıforco isc onal unu choclvour omnloumont rocorde for the last O vinolke 2. 13 View as
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Problem 3-14 (Algo) Demand for stereo headphones and music players for joggers has caused Nina Industries to grow almost 50 percent over the past year. The number of joggers continues to expand, so Nina expects demand for headsets to also expand, because, as yet, no safety laws have been passed to prevent joggers from wearing them. Demand for the players for this year was as follows: MONTH DEMAND (UNITS) 4,150 4,25e 3,950 4, 350 4,95e 4,650 5,25e 4,850 5,35e 5,65e 6,25e 5,95e January February March Аpril Мay June July August September October November December a. Using linear regression analysis, what would you estimate demand to be for each month next year? Using a spreadsheet, follow the general format in Exhibit 3.8. (Do not round Intermedlate calculatlons. Round your answers to 2 decimal places.) Month Forecast January February March April May June July August September October November December b. To be reasonably confident of meeting demand, Nina decides to use 3 standard errors…
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