2. 1 A large business process outsourcing company operates 5 days a week (Monday to Friday). The manager estimates that the minimum number of agents required, combined on-site and work-from-home (WFH) setup, to provide prompt service are as follows: 20 for Monday, 18 for Tuesday, 23 for Wednesday, 28 for Thursday, and 32 for Friday. Labor rules state that each agent must work for 3 days a week on-site, and 2 days in WFH setup. For example, an agent who works on-site Monday to Wednesday must be on WFH-setup during Thursday and Friday. Also, the company wants that at least 60% of the workforce for each day are reporting on-site. Formulate the appropriate LP model for this problem to minimize the number of agents to be hired.

2. 1 A large business process outsourcing company operates 5 days a week (Monday to Friday). The manager estimates that the minimum number of agents required, combined on-site and work-from-home (WFH) setup, to provide prompt service are as follows: 20 for Monday, 18 for Tuesday, 23 for Wednesday, 28 for Thursday, and 32 for Friday. Labor rules state that each agent must work for 3 days a week on-site, and 2 days in WFH setup. For example, an agent who works on-site Monday to Wednesday must be on WFH-setup during Thursday and Friday. Also, the company wants that at least 60% of the workforce for each day are reporting on-site. Formulate the appropriate LP model for this problem to minimize the number of agents to be hired.

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

See similar textbooks

Similar questions

The materials handling manager of a manufacturing company is trying to forecast the cost of maintenance for the company's fleet of over-the-road tractors. The manager believes that the cost of maintaining the tractors increases with their age. The following data was collected: Age (years) 6.5 Yearly Maintenance Cost ($) Yearly Maintenance Age (years) Cost (S) 819 8.0 1,394 5.5 1.249 2.5 363 6.5 1,233 2.5 382 7.0 695 9.0 964 6.0 923 8.0 1,573 1,178 6.0 881 3.0 7.0 1,090 3.0 666 7.0 1,722 3.0 749 7.5 1,187 a. Use POM for Windows' least squares-linear regression module to develop a relationship to forecast the yearly maintenance cost based on the age of a tractor. (Enter your responses rounded to three decimal places and include a minus sign if necessary.) Y=D+x where Y = Yearly maintenance cost in dollars and X = Age in years.
Select the components or elements in the formulation of the following model.: Linear optimization model Select one or more: constraints places supliers demands nature decisions strategy customers variants variables probability of states of nature decision-maker cost function payoffs non negativity constraints criterion states of nature criteria preferences criteria matrix players route evaluations capacities irational player
What is the Smoothing constant?
I need both answers
In the decision-making process the third step is to evaluate possible solutions Select one: True False
4 .Substitute for Problem # 4 on in attachment)-Calculate the MAD,revised MAD and the Revised Forecast for months 1-6 for the following three groups,where the Forecast stands for Forecast Demand.Has your forecast improved ? Tell me how would you go about improving the revised forecast( for each of the three groups)without actually doing so? Estate Planning Group Auditing and Accounting Group Business Consulting Group Month Actual Demand Forecast Actual Demand Forecast Actual Demand Forecast 1 100 125 270 230 140 135 2 90 125 240 230 130 135 3 110 125 280 230 160 135 4 115 125 260 230 180 135 5 130 125 300 230 200 135 6 115 125 220 230 190 135
What are the advantages of exponential smoothing over the moving average and the weighted moving average?
You have a data set that includes time period and past sales data, and you want to use a time series forecasting technique. Which of the following forecasting methodologies is considered a time series forecasting technique? a.Group of answer choices b.Delphi method c.Simple movement smoothing d.Weighted moving average e.Simulation f.Exponential averaging
Letz Products has two decisions to make, with the second decision dependent on the outcomeof the first. The company intends to build a new plant. Letz has the option of conducting itsown marketing research survey for which the results will either be positive or negative. Theinformation from this survey could help it decide whether to build a large plant, to build a smallplant, or not to build at all. Letz recognizes that although such a survey will not provide it withperfect information, it may be extremely helpful. Using the image explain to your client (Letz) what the above decision tree shows. You arerequired to show all working.
How could an exponential smoothing model be made moreresponsive?
Which types of decisions should the decision trees be used to address for?
Café Michigan's manager, Gary Stark, suspects that demand for mocha latte coffees depends on the price being charged. Based on historical observations, Gary has gathered the following data, which show the numbers of these coffees sold over six different price values: Price $2.60 $3.40 $2.00 $4.10 $3.20 $4.00 Number Sold 760 510 990 240 315 480 Using simple linear regression and given that the price per cup is $1.80, the forecasted demand for mocha latte coffees will be cups (enter your response rounded to one decimal place).