Raw Material Requirement Amount For Unit Product Сарacity Raw Materials P1 P2 P3 H1 2 3 5 4000 H2 4 2 7 6000 Minimum 200 200 150 Demand Profit Per Unit 30 20 50 Product (Pb)
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An enterprise produces P1, P2 and P3 products using H1 and H2 raw materials. Production data are presented in the table below.
The labor time per unit of P1 product is twice that of P2 and three times that of P3. The entire workforce of the production facility is enough to produce 1500 units of P1 product. The market requirement for products is in the order of 3: 2: 5. Establish the Linear programming (DP) model that will maximize the profits of the business and determine the best production quantities?
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- 123456789unn3u5167 10 5 6 Variable Cells 18 19 20 21 22 23 24 25 26 27 28 29 30 31 7 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 8 9 10 11 2 11 13 12 14 12 Constraints Name Cell $B$15 demand for A LHS $B$16 total demand LHS 16 17 $B$17 procssing time LHS Cell $C$8 A $D$8 B 15 16 Name Final Reduced Objective Allowable Allowable Value Cost Coefficient Increase Decrease 1E+30 250 100 Final Value Price 250 350 600 0 0 Shadow Constraint R.H. Side 0 4 -1 2 3 Q1 what is the range for objective coefficient of A and B? 125 350 600 1 1E+30 Allowable Allowable Increase Decrease Q4) if the objective coefficient of A goes up to 5 dollars what will happen? Q2 assume that the final value of B is 0 and the reduced cost of B is 1; explain the situation ? Q5 If the objective coefficient of B goes up to 8 dollars what will happen? Q6) if the obj coeff of A goes down to -5 dollars what does that mean? 125 125 100 1 Q3 if the objective coefficient of A goes down to 1 dollar and objective coefficient of B…Calculate customer life time value for the data below. (Show Work) Purchase Occasion Transition Probability Average Basket Size 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 ΝΑ 55% 75% 78% 83% 81% 81% 86% 82% 85% 90% 93% 85% 89% 85% 91% 97% 97% 96% 85% 83% 89% 82% 79% 82% 89% 88% 86% 67% 75% $46.71 $56.71 $57.93 $56.87 $58.26 $66.90 $63.62 $70.27 $63.03 $62.60 $71.81 $76.76 $78.14 $65.65 $74.84 $81.11 $72.08 $87.30 $71.94 $75.44 $70.35 $72.86 $66.68 $79.90 $93.91 $61.08 $94.16 $100.40 $77.89 $99.70Consider the following price and dividend data for Ford Motor Company: Dividend ($) Date December 31, 2004 January 26, 2005 April 28, 2005 July 29, 2005 October 28, 2005 December 30, 2005 Price ($) $14.04 $13.43 $9.14 OA. -44.4% OB. -40.2% OC.-42.32% OD. -38.1% $10.74 $8.02 $7.72 $0.12 $0.12 $0.12 $0.12 Assume that you purchased Ford Motor Company stock at the closing price on December 31, 2004 and sold it at the closing price on December 30, 2005. Your realized annual return is for the year 2005 is closest to:
- Q3: FIND INITIAL FEASIRLE SOLUTION COST FOR GIVEN PROBLEM by using A north-west oomer rule Bleast cost method e-Vogels approvimation method D1 D2 D3 D4 SUPPLE P1 2. 11 P2 1. 1. Pa 8. 15 6. 10 Demand 2. A* JIS O 11600 O 11300 O 11200 O 11000ca/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 asTable 1. Demand of Hairdryer from January to July [Jadual 1. Permintaan Pengering Rambut dari Januari 2021 hingga Julai 2021] Month Demand January February 2800 2870 March 2968 April Мay 3000 3100 Jun 3150 July 3400 a) Calculate forecast future demand for May, June, July and August by using 3 months simple moving average.[hitung ramalan permintaan masa depan untuk bulan Mei, Jun, Julai dan Ogos dengan menggunakan purata bergerak sederhana 3 bulan.] *
- full hand written plz otherwise skip..i'll give you multipke uovoteExplain what is applroach used in manufacturing for QA?29 00:24 1 令.l 50 B/s Question no. 02: A Leading manufacturer of Action Figures is about to introduce four new Action Figures. The accompanying table summarizes price and cost data, combined fixed costs equal $650,000. A marketing research study predicts that for each unit sold of Noyan, 2 units of Dogan, 3 units of Bamsi and 4 units of Turgut will be sold. Action Figures Turgut Bamsi Dogan Novan Selling Price (in dollars) 35 26 24 16 Variable Cost/unit (in dollars) 17 12 12 11 Table 1 a) How many product mix units must be sold to break even? b) How does it translate into sales of individual games?
- Demand(box) 10 11 12 13 14 15 and and more less Possibility 0.1 0.18 0.26 0.24 0.12 0.1 A business that will open a gift shop in Los Angeles is considering making and selling love- themed magnets. It is thought that it will not be possible to order new magnets during the fair period, and magnets that are not sold during the fair period will not be sold later. A box of magnets costs the business $100 and generates $460 from its sale. The table includes predictions about demand probabilities. a-) What is the overstocking cost of the business in dollars/box? b-) How many dollars/box is the missing stocking cost?The data shown are quarterly revenues (in Sthousands) from Roget's Books from 2013-Q1 through 2020-Q2. 6. Quarter 2013-1 2013-2 2013-3 2013-4 2014-1 2014-2 2014-3 2014-4 2015-1 2015-2 2015-3 2015-4 2016-1 2016-2 2016-3 2016-4 2017-1 2017-2 2017-3 2017-4 Revenue 2372 2740 2518 4708 2392 Quarter 2018-1 2018-2 2018-3 2018-4 2019-1 2019-2 2019-3 2019-4 2020-1 2020-2 Revenue 2725 2924 3118 5112 2777 2949 1:27:04 2811 2685 4795 2812 2893 2848 4894 2687 2903 2674 4871 2844 2933 3237 5350 3035 3028 2791 5252 Click here for the Excel Data File, Data file should open in a new browswer window. Select "File" then "Save As" to download the file to your computer and be able to use it in Excel. a. Determine the regression equation. Regression equation: ŷ = | (Round to 1 decimal places.) b. Determine the specific index for each quarter places.) dexes should be in decimal form (e.g. 1.36 not 136). Rounded to 2 decimal Quarter Quarterly Index Q1 Q2 Q3 Q4 c. What are the estimated sales (forecast) for…MGT 314 (Operation Management) MCQ: