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Chapter 4: Q16OQ. (page 510)

The widespread scientific application of yield management began within what industry?

Short Answer

Expert verified

Yield managementcan be described as the course of assigning the right kind of capacity to the best sort of client at the ideal expense and time to extend pay or yield. Yield management can be a solid method for managing and making demands seriously obvious, which is basic to add up to readiness. Generally speaking arranging reasonability, yield is another word for benefit.

Step by step solution

01

Yield management

The training utilized by various organizations to allot time and control demand to improve the consistency of demand is named yield management.

Companies embracing this interaction impact the demand of their items or administrations by changing their cost. The increment or decrease in the cost of items and administrations assists the organizations with deciding the future demand with higher exactness. Henceforth, this cycle helps the organizations in better productions and deal arranging.

02

The widespread scientific application

The widespread scientific application of yield management started inside the airline industry. American Airlines was the primary organization that used this method in the business. This management framework helped the organization in changing the cost of tickets according to the demand for a specific course. Henceforth, this framework empowered the organization to procure a bigger piece of the pie by offering low costs to the clients.

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Most popular questions from this chapter

Question:Harlen Industries has a simple forecasting model: Take the actual demand for the same month last year and divide that by the number of fractional weeks in that month. This gives the average weekly demand for that month. This weekly average is used as the weekly forecast for the same month this year. This technique was used to forecast eight weeks for this year, which are shown below along with the actual demand that occurred. The following eight weeks show the forecast (based on last year) and the demand that actually.

Week

Forecast demand

Actual demand

1

140

137

2

140

133

3

140

150

4

140

160

5

140

180

6

150

170

7

150

185

8

150

205

a. Compute the MAD of forecast errors.

b.Using the RSFE, compute the tracking signal.

c.Based on your answers to parts (a) and (b), comment on Harlen鈥檚 method of forecasting.

University Drug Pharmaceuticals orders its antibiotics every two weeks (14 days) when a salesperson visits from one of the pharmaceutical companies. Tetracycline is one of its most prescribed antibiotics, with an average daily demand of 2,000 capsules. The standard deviation of daily demand was derived from examining prescriptions filled over the past three months and was found to be 800 capsules. It takes five days for the order to arrive. University Drug would like to satisfy 99 percent of the prescriptions. The salesperson just arrived, and there are currently 25,000 capsules in stock. How many capsules should be ordered?

In the past, Taylor Industries has used a fixed鈥搕ime period inventory system that involved taking a complete inventory count of all items each month. However, increasing labor costs are forcing Taylor Industries to examine alternative ways to reduce the amount of labor involved in inventory stockrooms, yet without increasing other costs, such as shortage costs. Here is a random sample of 20 of Taylor鈥檚 items.

a. What would you recommend Taylor do to cut back its labor cost? (Illustrate using an ABC plan.)

b. Item 15 is critical to continued operations. How would you recommend it be classified?

The M鈥揘 plant manufactures two different products: M and N. Selling prices and weekly market demands are shown in the following diagram. Each product uses raw materials with costs as shown. The plant has three different machines: A, B, and C. Each performs different tasks and can work on only one material unit at a time.

Process times for each task are shown in the diagram. Each machine is available for 2,400 minutes per week. There are no 鈥淢urphys鈥� (major opportunities for the system to foul up). Setup and transfer times are zero. Demand is constant.

Operating expenses (including labor) total a constant $12,000 per week. Raw materials are not included in weekly operating expenses.

a. Where is the constraint in this plant?

b. What product mix provides the highest profit?

c. What is the maximum weekly profit this plant can earn?

Question: What supply chain metric measures how many complete orders were filled and shipped on time?
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