I need do fast typing clear urjent no chatgpt used i will give 5 upvotes pls full explain Ram Roy's firm has developed the following supply, demand, cost, and inventory data.Supply AvailableRegularDemandPeriodTimeOvertime Subcontract Forecast130151050235151050340151055Initial inventory30 unitsRegular-time cost per unit$100Overtime cost per unit$150Subcontract cost per unit$250Carrying cost per unit per month$6Assume that the initial inventory has no holding cost in the first period and backorders are not permitted.Allocating production capacity to meet demand at a minimum cost using the transportation method, the total cost is $ (enter your response as a whole number).

Set up the transportation table showing all supply capacities and demand requirements.For demand, we…

Answered: Ram Roy's firm has developed the…

Contemporary Marketing

18th Edition

ISBN:9780357033777

Author:Louis E. Boone, David L. Kurtz

Publisher:Louis E. Boone, David L. Kurtz

Chapter14: Pricing Strategies

Section14.2: Forecasting Demand

Problem 1LO

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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. Is Ben Gibson acting legally? Is he acting ethically? Why or why not?
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?
Month Demand Forecast Error Abs Error alpha 1 20 2 18 3 21 4 25 5 24 6 27 7 22 8 30 9 23 10 20 11 29 12 22 Mean Bias MAD (mean error) Problem 6: Maverick Jeans' demand manager decided to evaluate exponential smoothing. To maintain com- parability, she used the data from problem 6, copied below. 1 Month 2 3 Demand 20 18 21 25 4 5 24 6 7 8 9 10 11 12 27 22 30 23 20 29 22 Develop forecasts for months 5-12. Calculate the Bias and MAD. Use a starting forecast of 20 for month 4 and an alpha value of 0.2. (Note: Adjust all cell values to two decimal points.)
If the old forecast is 100 and the latest actual demand is 83, what is the exponentiallysmoothed forecast for the next period? Alpha is 0.25.
The following shows five months forecast demand and the corresponding actual demand for certain product.
Problem 18-28 (Algo) The following are historical demand data: YEAR SEASON 2011 Spring Summer Fall 2012 Winter Spring Summer Fall Winter ACTUAL DEMAND 210 136 375 582 465 274 695 972 Use regression analysis on deseasonalized demand to forecast demand in summer 2013. (Do not round intermediate calculations. Round your answer to the nearest whole number.) Forecast for summer 2013
The following are historical demand data: YEAR SEASON ACTUALDEMAND 2011 Spring 203 Summer 144 Fall 382 Winter 565 2012 Spring 471 Summer 271 Fall 686 Winter 955 Use regression analysis on deseasonalized demand to forecast demand in summer 2013. (Do not round intermediate calculations. Round your answer to the nearest whole number.)
1. Katherine is a forecast manager. She used exponential smoothing to forecast her sales with alpha equals 0.25. Her forecast for this week was 161 but the actual number is 232. What is her forecast for next week?2. Blue Pad Companyâ€™s lead time L is1week and demand rate is119units per week.Holding cost is $29 per unit and ordering cost is $281. Assume 52 weeks in a year.What is the EOQ? Keep two decimal points!3.Blue Pad Companyâ€™s lead time L is3week and demand rate is123units per week.Holding cost is $70 per unit and ordering cost is $726. Assume 52 weeks in a year.What is the ROP?4. Lugini Watchâ€™s annual demand is 107. It can produce at a rate of 19 watches per month with a $249 setup cost for the production run. Find the order quantity (EPQ) assuming carrying cost is $57 per unit a year. Keep two decimal points!5. Lugini Watchâ€™s annual demand is 108. It can produce at a rate of 24 watches per month. Using the…
The following are historical demand data: ACTUAL YEAR SEASON DEMAND 2 years ago Spring Summer 205 151 Fall 379 Winter Spring Summer 560 last year 481 268 679 959 Fall Winter Use regression analysis on deseasonalized demand to forecast next summer's demand. (Round your answer to the nearest whole number.) Forecast for next summer's demand
P.nilesh
Given the following history, use a three-quarter moving average to forecast the demandfor the third quarter of this year. Note that the 1st quarter is Jan, Feb, and Mar; 2ndquarter Apr, May, Jun; 3rd quarter Jul, Aug, Sep; and 4th quarter Oct, Nov, JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DECLast year 120 140 145 195 205 220 165 155 145 220 245 265This year 140 145 200 210 240 255
9. Problem 18-28 (Algo) The following are historical demand data: ACTUAL YEAR SEASONDEMAND 2011 Spring 203 Summer 144 Fall 382 Winter 565 2012 Spring 471 Summer 271 Fall 686 Winter 955 Use regression analysis on deseasonalized demand to forecast demand in summer 2013. (Do not round intermediate calculations. Round your answer to the nearest whole number.) Forecast for summer 2013 = 364

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