Given the forecast and booked orders shown in the table below, and a beginning inventory of 25,what is the master production schedule quantity for period 4 if you want to end period 4 with 0inventory?PeriodForecasted DemandBooked OrdersProjected ending inventoryMaster production scheduleAvailable to PromiseOOOO35507040170807502656050360306545550

Answered: Image /qna-images/answer/011ffecc-c8ec-4749-9881-230de64e146d.jpg

Answered: Given the forecast and booked orders…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Consider the following. March April May Month Demand. January 29 February March June April July May June July What is the forecast for July based on a three-month weighted moving average applied to the above past demand data and using the weights: data)? Show all the forecasts for April through June along with the answer Month Demand Forecast January 29 February 46 58 59 46 74 58 59 = 74 88 53 10 10 1:35:14 and (largest weight is for most recent 10
Which of the following belongs to lagging indicators A. Manufacturers' new orders B. Stock prices, 500 common stocks C. Average duration of unemployment D. Industrial production
The prices of earphones (in rands) at a music shop are shown in the table below for each month in 2006. It is generally accepted that the same price pattern repeats itself three times per annum and this principal may also be applied here. Consider this partially completed tables: Period 1 2 3 4 5 6 7 8 9 10 11 12 Prices (y) OB. 46.5 OC. 34.56 OD. 56.03 54.50 54.75 55.20 56.30 56.25 56.10 55.90 56.10 56.80 56.95 56.80 56.55 3-period Moving average 54.82 55.33 93.08 56.22 56.08 A 56.27 56.62 56.85 56.77 Seasonal index 99.87 99.6 100.68 100.05 100.04 B 100.18 Calculate the value of the missing moving average located at A. Round off to two decimals. OA. 57.56
Based on the information in the following table, use the Naïve Approach to forecast the demand for periods 2-12 PERIOD MONTH Demand Forecast Jan 228 2. Feb 197 Mar 202 Apr 182 May 157 6. Jun 148 Jul 195 Aug 63 Sep 194 10 Oct 278 11 Nov 185 12 Dec 179 3.
The following table shows the average monthly production of coal in tonnes for the Year Production Year Production (in tonnes) (in tonnes) 50.0 38.1 36.5 43.0 2010 2011 2012 2013 2014 44.5 38.9 2015 2016 2017 2018 2019 32.6 41.7 41.1 33.8 year 2010-2019. a) Compute the price indices from 2010 to 2019 by taking 2019 as the base year. Compare the price of 2014 and 017. c) What is the percentage (%) change in the production from 2016 to 2019?
Table 1. The manager of Carpet City outlet store needs to be able to forecast accurately demand for Soft Shang carpet. Demand for the past 20 weeks appears in table 1 below. week Demand Forecast Error ABS. Dev Squared Error APE 1 20 2 28 3 22 4 18 5 22 6 22 7 22 8 26 9 23 10 23 11 23 12 27 13 25 14 22 15 23 16 14 17 14 18 15 19 11 20 16 21 22 23 24…
3) Estimate the average number of years they stay at their current house for all citizens living in that area.
Given the Information in the below table's, calculate the total cost if you choose the: i) Level Strategy with average production per day. ii) Chase strategy for the production. Month Expected Demand Production Days Jan 600 22 Feb 800 18 March 900 21 April 1000 21 Inventory carrying cost $5 per unit per month Subcontracting cost per unit $20 per unit Average Pay rate $10 per hour ($80 per day) Over time Pay rate $17 per hour (above 8 hours) Labour-hours to produce a unit 1.6 hours per unit Cost of increasing daily production rate $300 per unit Cost of decreasing daily production rate $600 per unit
A certain beverage company provides a complete line of beer, wine, and soft drink products for distribution through retail outlets in central Iowa. Unit price data for 2011 and 2014 and quantities sold in cases for 2011 follow. Use 2011 as the base period. Unit Price ($) Item 2011 Quantity(cases) 2011 2014 Beer 30,000 18.50 20.15 Wine 5,000 100.00 117.00 Soft drink 60,000 8.00 8.80 Compute the price relatives for this company's products. (Round your answers to two decimal places.) Item - Price Relative Beer Wine Soft drink Use a weighted average of price relatives to show that this method provides the same index as the weighted aggregate method. (Round your answers to the nearest integer.) -weighted average of price relatives index: -weighted aggregate price index:

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