PRIN.OF OPERATIONS MANAGEMENT-MYOMLAB
PRIN.OF OPERATIONS MANAGEMENT-MYOMLAB
11th Edition
ISBN: 9780135226742
Author: HEIZER
Publisher: PEARSON
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Chapter 2, Problem 1CS

Rapid-Lube

A huge market exists for automobile tune-ups, oil charges, and lubrication service for more than 250 million vehicles on U.S. roads. Some of this demand is filled by full-service auto dealerships, some by Walmart and Firestone, and some by other tire/service dealers. However, Rapid-Lube, Mobil-Lube, Jiffy-Lube and others have also developed strategies to accommodate this opportunity.

Rapid-Lube stations perform oil changes, lubrication, and interior cleaning in a spotless environment. The buildings are clean, usually painted white, and often surrounded by neatly trimmed landscaping. To facilitate fast service, cars can be driven through three abreast. At Rapid-Lube, the customer is greeted by service representatives who are graduates of Rapid-Lube U. The Rapid-Lube school is not unlike McDonald’s Hamburger University near Chicago or Holiday Inn’s training school in Memphis. The greeter takes the order, which typically includes fluid checks (oil, water, brake fluid, transmission fluid, differential grease) and the necessary lubrication, as well as filter changes for air and oil. Service personnel in neat uniforms then move into action. The standard three-person team has one person checking fluid levels under the hood, another assigned interior vacuuming and window cleaning, and the third in the garage pit, removing the oil filler, draining the oil, checking the differential and transmission, and lubricating as necessary. Precise task assignments and good training are designed to move the car into and out of the bay in 10 minutes. The business model is to charge no more, and hopefully less, that gas stations, automotive repair chains and auto dealers, while providing better and faster service. Discussion Questions

1. What constitutes the mission of Rapid Lube?

2. How does the Rapid-Lube operations strategy provide competitive advantage? (Hint: Evaluate how Rapid-Lube’s traditional competitors perform the 10 decisions of operations management vs. how Rapid-Lube performs them.)

3. Is it likely that Rapid-Lube has increased productivity over its more traditional competitors? Why? How would we measure productivity in this industry?

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Can you guys help me with this? Thank you! Here's the question: Compared to the CONSTRAINT model, how has the network changed? How do you plan to add contingency to your network? Please answer this thoroughly Here's the what-if scenario: Assume that the LA warehouse becomes temporarily or even indefinitely disabled since facing a large-scale labor disruption. Re-optimize the network considering this new constraint. Here's the scenario comparison analysis:  Scenario Constraint Scenario vs What-if Scenario Summary The Constraint Scenario exhibits a higher total cost of $7,424,575.45 compared to the What-if Scenario's total cost of $6,611,905.60, signifying a difference of approximately $812,669.85, which indicates a more expensive operation in the Constraint Scenario. The average service time is slightly higher in the Constraint Scenario (0.72 days vs. 0.70 days), suggesting that the What-if Scenario provides a marginally quicker service. Moreover, the average end-to-end service time…
Can you guys help me with this? Thank you! Here's the question: Compared to the CONSTRAINT model, how has the network changed? How do you plan to add contingency to your network? Please answer this throughly Here's the what-if scenario: Assume that Dallas plant has lost power. It cannot serve the DCs anymore and has to remain locked indefinitely. Re-optimize the network considering this new constraint. Here's the scenario comparison analysis:  Scenario Constraint Scenario vs What-if Scenario Summary In comparing the Constraint Scenario to the What-if Scenario, a few key differences highlight the efficiencies evident in the supply chain. Firstly, the total cost in the Constraint Scenario is lower at $7,424,575.45, while the What-if Scenario incurs a total cost of $7,486,369.12, resulting in a cost delta of $61,793.67. Additionally, although both scenarios exhibit the same average service time of 0.72 days, the What-if Scenario has a more favorable average end-to-end service time of 2.41…
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