Operations Management: Processes And Supply Chains (12th Edition) (what's New In Operations Management)
12th Edition
ISBN: 9780134742205
Author: Lee J. Krajewski, Manoj K. Malhotra, Larry P. Ritzman
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Question
Chapter C, Problem 14P
Summary Introduction
Interpretation:The production level and the sales that need to be achieved in reaching the highest profits are to be calculated.
Concept Introduction:The production level and the sales should be decided based on the
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
A company blends and bottles an energy drink in various flavors for college students. The aggregate forecast for the next four quarters (1 year) in thousands of gallons is as follows:
Quarter Demand forecast per 1000 gallons
1 4002 7003 8504 650Each employee works 550 standard straight-time hours each quarter.
On average, it takes 27 hours to produce and package 1 unit (1,000 gallons).
Straight-time labor costs $6.00/hour; overtime labor costs $9.00/hour.
Inventory holding cost is approximately $4.50/unit (1,000 gallons) per quarter, based on ending inventory per quarter.
Due to the extremely hot weather, there is no initial inventory on hand to start the first quarter.
Management wants a constant workforce (no hiring and no layoffs).
Managers have also decided to always round the number of employees needed to the next integer, i.e., 37.2 yields 38 employees.
Using a level strategy program, what will the annual labor cost be if only 30 employees are available and overtime is used?
City Sod is a small business that sells and lays sod (rolled strips of grass). The owner has devised a forecasting procedure based on demand history from previous years plus projection of demand in recent weeks. The forecast for the next six weeks, in labor hours of sod laying, is
850 870 950 910 970 870
CmTently, City Sod has a staff of sod layers consisting of five crew chiefs and 15 laborers. A crew chief lays sod along with the laborers, but also directs the crew. The owner has decided on the following staffing policies:
A two-week backlog will be accmnulated before adding staff.
Plans are based on a 40 hour work week; overtime is used only to absorb weather or other delays and employee absence or resignations.
The ideal crew size is one crew chief and four laborers.
Devise a hiring plan for the first three weeks. In your answer, assmne a current backlog of 1,480 labor hours of sod-laying orders. Does City Sod follow a chase-demand or level-capacity strategy of…
A manager uses this equation to predict demand for landscaping services: Ft= 10 + 5t
Over the past eight periods, demand has been as follows:
Period, t: 1
Demand:
15
2
21
Period, t Tracking signal
1
2
3
4
5
6
7
8
3
23
30
5
32
6
38
42
Click here for the Excel Data File
Compute the tracking signals for Periods 1-8. (Negative values should be indicated by
a minus sign. Round your intermediate calculations and final answers to 3 decimal
places.)
8
47
Chapter C Solutions
Operations Management: Processes And Supply Chains (12th Edition) (what's New In Operations Management)
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, operations-management and related others by exploring similar questions and additional content below.Similar questions
- 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?arrow_forwardThe Tinkan Company produces one-pound cans for the Canadian salmon industry. Each year the salmon spawn during a 24-hour period and must be canned immediately. Tinkan has the following agreement with the salmon industry. The company can deliver as many cans as it chooses. Then the salmon are caught. For each can by which Tinkan falls short of the salmon industrys needs, the company pays the industry a 2 penalty. Cans cost Tinkan 1 to produce and are sold by Tinkan for 2 per can. If any cans are left over, they are returned to Tinkan and the company reimburses the industry 2 for each extra can. These extra cans are put in storage for next year. Each year a can is held in storage, a carrying cost equal to 20% of the cans production cost is incurred. It is well known that the number of salmon harvested during a year is strongly related to the number of salmon harvested the previous year. In fact, using past data, Tinkan estimates that the harvest size in year t, Ht (measured in the number of cans required), is related to the harvest size in the previous year, Ht1, by the equation Ht = Ht1et where et is normally distributed with mean 1.02 and standard deviation 0.10. Tinkan plans to use the following production strategy. For some value of x, it produces enough cans at the beginning of year t to bring its inventory up to x+Ht, where Ht is the predicted harvest size in year t. Then it delivers these cans to the salmon industry. For example, if it uses x = 100,000, the predicted harvest size is 500,000 cans, and 80,000 cans are already in inventory, then Tinkan produces and delivers 520,000 cans. Given that the harvest size for the previous year was 550,000 cans, use simulation to help Tinkan develop a production strategy that maximizes its expected profit over the next 20 years. Assume that the company begins year 1 with an initial inventory of 300,000 cans.arrow_forwardAssume the demand for a companys drug Wozac during the current year is 50,000, and assume demand will grow at 5% a year. If the company builds a plant that can produce x units of Wozac per year, it will cost 16x. Each unit of Wozac is sold for 3. Each unit of Wozac produced incurs a variable production cost of 0.20. It costs 0.40 per year to operate a unit of capacity. Determine how large a Wozac plant the company should build to maximize its expected profit over the next 10 years.arrow_forward
- At the beginning of each week, a machine is in one of four conditions: 1 = excellent; 2 = good; 3 = average; 4 = bad. The weekly revenue earned by a machine in state 1, 2, 3, or 4 is 100, 90, 50, or 10, respectively. After observing the condition of the machine at the beginning of the week, the company has the option, for a cost of 200, of instantaneously replacing the machine with an excellent machine. The quality of the machine deteriorates over time, as shown in the file P10 41.xlsx. Four maintenance policies are under consideration: Policy 1: Never replace a machine. Policy 2: Immediately replace a bad machine. Policy 3: Immediately replace a bad or average machine. Policy 4: Immediately replace a bad, average, or good machine. Simulate each of these policies for 50 weeks (using at least 250 iterations each) to determine the policy that maximizes expected weekly profit. Assume that the machine at the beginning of week 1 is excellent.arrow_forwardIt costs a pharmaceutical company 75,000 to produce a 1000-pound batch of a drug. The average yield from a batch is unknown but the best case is 90% yield (that is, 900 pounds of good drug will be produced), the most likely case is 85% yield, and the worst case is 70% yield. The annual demand for the drug is unknown, with the best case being 20,000 pounds, the most likely case 17,500 pounds, and the worst case 10,000 pounds. The drug sells for 125 per pound and leftover amounts of the drug can be sold for 30 per pound. To maximize annual expected profit, how many batches of the drug should the company produce? You can assume that it will produce the batches only once, before demand for the drug is known.arrow_forwardPractice example. Please shoow solution.arrow_forward
- for managing its data processing operation: continuing with its own staff, hiring an outside vendor to do the managing (referred to as outsourcing), or using a combination of its own staff and an outside vendor. The cost of the operation depends on future demand. The annual cost of each option (in thousands) depends on demand as follows. DEMAND STAFFING OPTIONS HIGH MEDIUM LOW Own Staff 650 650 600 Outside Vendor 900 600 300 Combination 800 650 500 Based on decision analysis under uncertainty, determine the best decision each of the model. Then compare all the model decision to make it overall conclusion.arrow_forwardYear Month Actual Orders/Demands 2020 Apr 120 May 90 Jun 100 Jul 75 Aug 110 Sep 50 Oct 75 Nov 130 Dec 110 2021 Jan 90 Febarrow_forwardGiven the following data on the number of pints of ice cream sold at a local ice cream store for a 3 period time fram, please forecast the demand for period 5 using a 3-month moving average. Period 1, 2,3,4 Demand 330,300,285,280arrow_forward
- Thinking tools service assembles customized personal computers from generic parts. Formed and operated by part-time Svci students paulette cruz and maureen luis, the company has had steady growth since it started. The company assembles computers mostly at night, using part time students. Paulette and Maureen purchase generic computer parts in volume at a discount from a variety of sources whenever they see a good deal. Thus, they need a good forecast of demand for their computers so that they will know how many parts to purchase and stock. They have compiled demand data for the last 12 months as reported below A. Use exponential smoothing with smoothing parameter a=0.2 to compute the demand forecast for january (period 13) B. Use exponential smoothing with smoothing parameter a=0.5 to compute the demand forecast for january (period 13). C. Paulette believes that there is an upward trend in the demand, the initial forecast is 37 and the trend over this period is 0 units. Use…arrow_forwardThere is an ongoing debate about the roles of quantitative and qualitative inputs in demand estimation and forecasting. Those in the qualitative camp argue that statistical analysis can only go so far. Demand estimates can be further improved by incorporating purely qualitative factors. Quantitative advocates insist that qualitative, intuitive, holistic approaches only serve to introduce errors, biases, and extraneous factors into the estimation task. Suppose the executive for the theater chain is convinced that any number of bits of qualitative information (the identity of the director, the film’s terrific script and rock-music sound track, the Hollywood “buzz” about the film during production, even the easing of his ulcer) influence the film’s ultimate box-office revenue. How might one test which approach—purely qualitative or statistical, provides better demand or revenue estimates? Are there ways to combine the two approaches? Provide concrete suggestionsarrow_forwardData collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table: Year 1 4.0 Year Forecast 2 6.0 4 3 4 4.0 5.0 5 Registrations (000) This exercise contains only parts a and b. a) Using a 3-year moving average, the forecasted registrations (in thousands) for years 4 through 12 are (round your responses to one decimal place): 6 10 5 6 7 8 9 10.0 8.0 7.0 9.0 12.0 14.0 7 8 9 10 11 11 15.0 12 D b) Using a 3-year weighted moving average in which the registrations in the most recent year are given a weight of 2, and registrations in the nther 2 veare are each niven a weight of 1 the forecasted registratione (in thousande) for voare 4 through 12 are fround your roenoncos foarrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Practical Management ScienceOperations ManagementISBN:9781337406659Author:WINSTON, Wayne L.Publisher:Cengage,
Purchasing and Supply Chain ManagementOperations ManagementISBN:9781285869681Author:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. PattersonPublisher:Cengage Learning
Practical Management Science
Operations Management
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:Cengage,
Purchasing and Supply Chain Management
Operations Management
ISBN:9781285869681
Author:Robert M. Monczka, Robert B. Handfield, Larry C. Giunipero, James L. Patterson
Publisher:Cengage Learning
Single Exponential Smoothing & Weighted Moving Average Time Series Forecasting; Author: Matt Macarty;https://www.youtube.com/watch?v=IjETktmL4Kg;License: Standard YouTube License, CC-BY
Introduction to Forecasting - with Examples; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=98K7AG32qv8;License: Standard Youtube License