Please do not give solution in image format thanku American Red Cross wants to determine the least expensive way to transport available blood donations from Pittsburgh and Stauntonto hospitals in Charleston, Roanoke, Richmond, Norfolk, and Suffolk. The supply and demand for donated blood is shown thefollowing figure along with the unit cost of shipping along each possible arc:-1,300PittsburghStaunton-1,200 24Charleston3Roanoke3002008Richmond964Norfolk800700Suffolk400 Let Xij be the amount of blood donations shipped from node i to node j.Which statement about the balance of flow constraint is not true?A.X13+X14 ≤ 1,300 is the balance of flow constraint for node 1.B.X35 ≥ 800 +X56 is the balance of flow constraint for node 5.O CX47+X67 ≥ 400 is the balance of flow constraint for node 7.D.X36+X46+X56 + X67 ≥ 700 is the balance of flow constraint for node 6.

American Red Cross wants to determine the least expensive way to transport available blood donations from Pittsburgh and Staunton to hospitals in Charleston, Roanoke, Richmond, Norfolk, and Suffolk. The supply and demand for donated blood is shown the following figure along with the unit cost of shipping along each possible arc: -1,300 Pittsburgh 1 Staunton -1,200 2 Charleston 3 Roanoke 300 200 Richmond 9 Norfolk 800 700 Suffolk 400

American Red Cross wants to determine the least expensive way to transport available blood donations from Pittsburgh and Staunton to hospitals in Charleston, Roanoke, Richmond, Norfolk, and Suffolk. The supply and demand for donated blood is shown the following figure along with the unit cost of shipping along each possible arc: -1,300 Pittsburgh 1 Staunton -1,200 2 Charleston 3 Roanoke 300 200 Richmond 9 Norfolk 800 700 Suffolk 400

Purchasing and Supply Chain Management

6th Edition

ISBN:9781285869681

Author:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson

Publisher:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson

ChapterC: Cases

Section: Chapter Questions

Problem 5.1SC: Scenario 3 Ben Gibson, the purchasing manager at Coastal Products, was reviewing purchasing...

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Scenario 3 Ben Gibson, the purchasing manager at Coastal Products, was reviewing purchasing expenditures for packaging materials with Jeff Joyner. Ben was particularly disturbed about the amount spent on corrugated boxes purchased from Southeastern Corrugated. Ben said, I dont like the salesman from that company. He comes around here acting like he owns the place. He loves to tell us about his fancy car, house, and vacations. It seems to me he must be making too much money off of us! Jeff responded that he heard Southeastern Corrugated was going to ask for a price increase to cover the rising costs of raw material paper stock. Jeff further stated that Southeastern would probably ask for more than what was justified simply from rising paper stock costs. After the meeting, Ben decided he had heard enough. After all, he prided himself on being a results-oriented manager. There was no way he was going to allow that salesman to keep taking advantage of Coastal Products. Ben called Jeff and told him it was time to rebid the corrugated contract before Southeastern came in with a price increase request. Who did Jeff know that might be interested in the business? Jeff replied he had several companies in mind to include in the bidding process. These companies would surely come in at a lower price, partly because they used lower-grade boxes that would probably work well enough in Coastal Products process. Jeff also explained that these suppliers were not serious contenders for the business. Their purpose was to create competition with the bids. Ben told Jeff to make sure that Southeastern was well aware that these new suppliers were bidding on the contract. He also said to make sure the suppliers knew that price was going to be the determining factor in this quote, because he considered corrugated boxes to be a standard industry item. As the Marketing Manager for Southeastern Corrugated, what would you do upon receiving the request for quotation from Coastal Products?
Data collected on the monthly demand for a certain product in thousands of dollars are shown in the following table. Month Demand 1 145.5 2 160 3 71 4 99 5 194.5 206 7 135.5 8 152.5 9. 246 10 259 11 181.5 12 194 a) Using a weighted moving average with three periods, determine the demand for period 13. Use 3, 2, and 1 for the weights of the most recent, second most recent, and third most recent periods, respectively b) Find the MAD, MSE and MAPE b) Use exponential smoothing with a smoothing constant of 0.30 to forecast the sales. Assume that last period's forecast for month 1 is equal to actual to begin the procedure Which method do you think is best? Is this an improvement over the weighted average- use MAD only
Sales of industrial vacuum cleaners at Yarena Supply CO. over the past 13 months are as follows: Sales in P1,000 Month Sales in P1,000 Month 11 January 14 August 14 February 17 September 15 March 12 October 10 April 14 November 15 May 16 December 17 June 11 January 11 July Required suing a moving average with three periods, determine the demand for vacuum cleaners for next February?
Use the table provided below showing rooms available, rooms sold and rooms revenue for 7 properties (subject hotel + comp set) for one month to compute occupancy index for the subject hotel. Rooms Available (Supply) Rooms Sold (Demand) Revenue The subject hotel 10'000 7'000 700'000 Hotel A 9'000 3'000 400'000 Hotel B 9'000 8'000 700'000 Hotel C 10'000 7'000 700'000 Hotel D 000י7 5'000 500'000 Hotel E 11'000 8'000 700'000 Hotel F 8'000 4'000 400'000
A company has supplied the following data with respect to its three different types of fertilizers: FERTILIZER ANNUAL DEMAND AVERAGE INVENTORY COST PER SACK SACKS SACKS € 10-10-10 30000 5000 18 16-16-16 20000 3000 15 20-10-5 10000 2000 20 Calculate (assuming 50 sales weeks annually): a) the inventory turnover and weeks of supply for each fertilizer b) the average inventory turnover and average weeks of supply
Consider the table below which represents the number of active credit card accounts issued by a small credit union in a particular customer segment from 1994 to 2017 and a relevant forecast method. Time Credit cards A B abs sq abs% err 1994 13260 13260 60 1995 13310 13319 60 10 10 97 0.0007 1996 13383 13379 60 13379 4 4 20 0.0003 1997 13427 13438 59 13439 12 12 149 0.0009 1998 13455 13493 58 13497 42 42 1743 0.0031 1999 13520 13548 57 13551 31 31 962 0.0023 2000 13663 13611 59 13605 -58 58 3360 0.0042 2001 13717 13675 60 13670 47 47 2220 0.0034 2002 13753 13737 61 13735 -17 17 296 0.0013 2003 13792 13798 61 13798 6 6 37 0.0004 2004 13858 13858 61 13858 1 1 0.0000 2005 13915 13919 61 13919 4 4 13 0.0003 2006 13966 13978 60 13979 13 13 177 0.0010 2007 14017 14036 60 14038 21 21 450 0.0015 2008 13945 14081 55 14096 151 151 22852 0.0108 2009 14008 14123 51 14136 128 128 16382 0.0091 2010 14076 14164 48 14174 98 98 9658 0.0070 2011 14122 14204 46 14213 90 90 8128 0.0064 2012 14164 14241 43…
Calculate the 3-month weighted moving average, consider a weight of 0.5. Year Supplies2018 502019 752020 1302021 1102022 90
Year Sales 1) 123 2)118 3) 109 4) 112 5) 100 6) 110 7) 124 8)Determine the demand in Year 8 using a 3-month moving average using the sales table. Use weights of 0.40, 0.30 and 0.30
2. Fastway is a parcel delivery company based in Pretoria. It measures demand on a weekly basis in terms of the number of parcels which it is given to deliver (irrespective of the size of each parcel). The forecast for week 20 is 63. The table below shows actual demands for Fastway. Week Actual demand 20 63 21 62 22 67 23 66 24 67 25 69 26 65 27 71 28 68 29 68 30 70 31 72 32 66 33 68 34 67 Predict the forecast for week 35 using an exponential smoothing with a smoothing constant of 0.20.
The following table shows the three-period moving average and five-period moving average for monthly sales of Budget Furniture's during 2019. Moving averages of Budget Furniture's Time period Months Sales Three-period moving average (rounded off to Five-period moving average four decimals) R'millions 1 Jan 7 5.0000 6.2 February 5.6667 6.6 March 5 7.0000 B 4 April 8.3333 8.2 May 7 9.3333 8.4 June 8.3333 9.6 7 July 12 8.6667 9.6 August 4 A 9.2 September 10 10.6667 10 October 13 10.6667 11 November 9 12 December 10 The seasonal index for the month of February in 2019 is: LO
1) Describe a scenario that you have encountered recently as a consumer where a business has either under forecast or iver forecast demand for a product that you were planning to purchase. You will generally notice under forecasting if the product is out of stock or over forecasting if there is excess inventory for the item. Describe the imolications to the retailer,manufacturer, and broader supply chain. You can present your response through thr lens of your own discpline (accounting,mafketing,etc.) if you wish. 2) Give three examples from your life in which you may forecast the future. Highlight the importance of accurate forecasting in the three examples you provide.
The Saki motorcycle dealer in the Minneapolis–St. Paul area wants to make an accurate forecast of demand for the Saki Super TXII motorcycle during the next month. Because the manufacturer is in Japan, it is difficult to send motorcycles back or reorder if the proper number is not ordered a month ahead. From sales records, the dealer has accumulated the following data for the past year: Month Motorcycle Sales January 9 February 7 March 10 April 8 May 7 June 12 July 10 August 11 September 12 October 10 November 14 December 16 a. Compute a 3-month moving average forecast of demand for April through January (of the next year). b. Compute a 5-month moving average forecast for June through January. c. Compare the two forecasts computed in (a) and (b), using MAD. Which one should the dealer use for January of the next year?