The total cost, including normal time labor costs, for this hiring and layoffs plan is $ 310,000 (enter your responseas a whole number).Construct a plan that holds employment steady (level strategy) by producing the average forecast for all fourquarters (enter your responses as whole numbers).Quarter12Level PlanEndingHireForecast Production Inventory Shortage (Units)1,3001,3751375137513751,9001,2001,600800000525350575075000Layoff(Units)000The total cost, including normal time labor costs, for this level plan is $ (enter your response as awhole number). Costs/Other DataPrevious quarter's output = 1,300 casesBeginning inventory = 0 casesStockout cost of backorders = $140 per caseInventory holding cost = $45 per case at end of quarterHiring employees = $40 per caseTerminating employees = $70 per caseSubcontracting cost = $65 per caseUnit cost on regular time = $30 per caseOvertime cost = $10 extra per caseCapacity on regular time = 1,900 cases per quartervaluaastеса:s wh

Find the Given details below: Quarter Demand 1 1900 2 1200 3 1600 4 800 Total…

Answered: Construct a plan that holds employment…

Management, Loose-Leaf Version

13th Edition

ISBN:9781305969308

Author:Richard L. Daft

Publisher:Richard L. Daft

Chapter7: Planning And Goal Setting

Section: Chapter Questions

Problem 1ED: When the idea first occurred to her, it seemed like such a win-win situation. Now she wasn't so...

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When the idea first occurred to her, it seemed like such a win-win situation. Now she wasn't so sure. Marge Brygay was a hardworking sales rep for Inspire Learning Corporation, a company intent on becoming the top educational software provider in five years. That newly adopted strategic goal translated into an ambitious, million-dollar sales target for each of Inspire's sales reps. At the beginning of the fiscal year, her share of the sales department's operational goal seemed entirely reasonable to Marge. She believed in Inspire's products. The company had developed innovative, highly regarded math, language, science, and social studies programs for the K— 12 market. What set the software apart was a foundation in truly cutting-edge research. Marge had seen for herself how Inspire programs could engage whole classrooms Of normally unmotivated kids; the significant rise in scores on those increasingly important standardized tests bore Out her subjective impressions. Bur now, just days before the end of the year, Marge's sales were $1,000 short of her million-dollar goal. The sale that would have put her comfortably over the top fell through due to last-minute cuts in one large school system's budget. At first, she was nearly overwhelmed with frustration, but then it occurred to her that if she contributed $1,000 to Central High, the inner-city high school in her territory probably most in need of what she had for sale, they could purchase the software and put her over the top. Her scheme would certainly benefit Central High students. Achieving her sales goal would make Inspire happy, and it wouldn't do her any harm, either professionally or financially. Making the goal would earn her a $10,000 bonus check that would come in handy when the time came to write out that first tuition check for her oldest child, who had just been accepted to a well-known, private university. Initially, it seemed like the perfect solution all the way around. The more she thought about it, however, the more it didn't quite sit well with her conscience. Time was running out. She needed to decide what to do. 1. Donate the $1,000 to Central High, and consider the $10,000 bonus a good return on your investment.
With no historical data to make prediction of future labour needs, which forecasting methods would you use? a. Multiple regression and Delphi technique b. Unit method and linear programming c. Best- and worst-case scenarios and bottom up d. Top down and learning curve analysis
Omar has heard from some of his customers that they will probably cut back on order sizes in the next quarter. The company he works for has been reducing its salesforce due to falling demand, and he worries that he could be next if his sales begin to fall off. Believing that he may be able to convince his customers not to cut back on orders, he turns in an optimistic forecast of his next quarter sales to his manager. What are the pros and cons of doing that?
In your own words and it should be in paragraph form. Also, don't forget to conclude. 1. Discuss the importance of Forecasting in Operations Management.
Manpower demand forecasting is influenced primarily by two important factors that is volume of output and level of productivity. Explain it in 1000 words.
Demand forecasting is the primary data for decision-making in any organization. a. What will happen if organizations do not conduct a demand forecast? b. Consider any company of your choice and elaborate on your answer that you have given in part (a).
Forecasted Statements and Ratios Upton Computers makes bulk purchases of small computers, stocks them in conveniently located warehouses, ships them to its chain of retail stores, and has a staff to advise customers and help them set up their new computers. Upton's balance sheet as of December 31, 2019, is shown here (millions of dollars): Cash $ 3.5 Accounts payable $ 9.0 Receivables 26.0 Notes payable 18.0 Inventories 58.0 Line of credit 0 Total current assets $ 87.5 Accruals 8.5 Net fixed assets 35.0 Total current liabilities $ 35.5 Mortgage loan 6.0 Common stock 15.0 Retained earnings 66.0 Total assets $122.5 Total liabilities and equity $122.5 Sales for 2019 were $275 million and net income for the year was $8.25 million, so the firm's profit margin was 3.0%. Upton paid dividends of $3.3 million to common stockholders, so its payout ratio was 40%. Its tax rate was 25%, and it operated at full capacity. Assume that all assets/sales ratios,…
The table below shows the sales of widgets (in units) over the past 5 years. Using exponential smoothing with a smoothing constant of 0.2, what is the forecast for next year? The initial forecast (for 5 years ago) was 1,200 units. Forecast: Time Sales 5 years ago 1,140 4 years ago 1,220 3 years ago 1,450 2 years ago 1,090 Last year 1,150 (Do not round intermediate calculations, round your final answer to the nearest whole number.)
The number of plumbing repair jobs performed by Augur’s Plumbing Service during each month last year. Draw the scatter diagram. Now briefly explain which of the following patterns exist in this data and which do not: trend, cycle, seasonal. Cite evidence that supports your conclusion. Month Jobs January 112 February 105 March 89 April 96 May 97 June 101 July 105 August 107 September 99 October 92 November 91 December 89
please help me with Question 3 thanks! Demand forecasts for 2021 are as follows: Month Demand Jan 140,000 Feb 78,900 Mar 85,800 Apr 89,100 May 123,600 Jun 136,350 Jul 120,450 Aug 106,950 Sep 121,950 Oct 135,750 Nov 87,000 Dec 93,300 Each worker can produce 900 products per month and is paid $1500 per month. Assume that at the end of last year, the company has 100 employees working on the production line. Hiring and layoff (firing) decisions are made at the beginning of each month, and associated costs are charged at that time. It costs the company $400 to hire and $800 to lay off a worker. The company incurs holding cost for the amount of ending inventory in each month, and incurs backorder cost at the end of each month for any unfilled orders. The company incurs $2 per month for holding one unit in inventory and $4 per unit backorder. 1 Prepare a level aggregate plan. Under this level aggregate plan, how…
Explain in between 400 and450 words the differences between forecasting and budgeting and also define the following terms: Double-loop Feedback and Feed -back loop explaining this as it applies in the Control Circle.
The following two demand sets are to be used to test two different basic exponential smoothingmodels. The first model uses 0.1, and the second uses 0.5. In both cases, the modelshould be initialized with a beginning forecast value of 50; that is, the ESF forecast for period 1made at the end of period 0 is 50 units. In each of the four cases (two models on two demandsets), compute the average forecast error and MAD. What do the results mean?Demand Set I Demand Set IIPeriod Demand Period Demand1 51 1772 46 2833 49 3904 55 4225 52 5106 47 6807 51 7168 48 8199 56 92710 51 10 7911 45 11 7312 52 12 8813 49 13 1514 48 14 2115 43 15 8516 46 16 2217 55 17 8818 53 18 7519 54 19 1420 49 20 16

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