A regional logistics firm upgraded its ground delivery fleet management software to an automated, predictive routing system. During the six months following the upgrade, the firm recorded a 15 percent decrease in total fuel consumption across all ground routes. The chief operating officer concluded that the new software directly caused the improved fuel efficiency, and subsequently recommended implementing the exact same system across the company's container shipping vessel fleet to achieve an identical 15 percent fuel reduction. Which of the following statements describe logical vulnerabilities in the chief operating officer's reasoning? Select all that apply.
- The reasoning fails to account for alternative explanations, such as seasonal weather changes or fluctuations in cargo load weight, that could account for the observed reduction in fuel consumption.Answer
- The reasoning improperly assumes that fuel savings achieved in ground delivery operations will automatically translate in the same proportion to maritime container shipping.Answer
- CThe reasoning relies on data collected exclusively from routes that were selectively chosen due to their low baseline fuel efficiency prior to the study.
- DThe reasoning presumes that reducing operational fuel costs is the single most critical objective for the company's maritime container division.
- EThe reasoning reinforces the conclusion by providing empirical proof that AI-driven routing software functions with equal efficacy across all transportation sectors.
Answer
The correct evaluations are the statement noting that the argument fails to account for alternative explanations such as weather or load shifts, and the statement highlighting the improper assumption that ground fleet results apply proportionally to maritime vessels.
The argument suffers from two distinct logical flaws. First, it assumes that because fuel reduction followed the software installation, the software must have caused the reduction, ignoring other potential factors like load weight or seasonal weather changes. Second, it assumes that performance metrics achieved in ground vehicle delivery can be extrapolated directly to maritime vessel shipping, which operates under entirely different mechanics and conditions. The two correct statements pinpoint these exact flaws.
Step-by-Step Solution
Key Concept
Evaluating Reasoning Flaws: Correlation vs Causation and Unwarranted Extrapolation