GMAT Question of the Day

Rationale:

The operations management team's argument for shifting to a Just-In-Case (JIC) inventory model is based on preventing costly production stoppages due to supply chain disruptions. The statement that "A substantial portion of ElectraCorp's critical components are custom-made with lead times exceeding six months, and these components are particularly susceptible to single-source supply disruptions" most strengthens this argument by highlighting a severe, specific vulnerability that JIC would directly address, making the shift appear essential for resilience.

Conversely, the statement that "Historical data reveals that the vast majority of ElectraCorp's past production delays were due to sudden, unforecasted drops in consumer demand, not component shortages" most weakens the argument. If past delays were primarily caused by demand fluctuations rather than component scarcity, then adopting JIC to build buffer component stocks would not solve the root cause of past profitability issues and could even exacerbate problems by increasing carrying costs for unneeded inventory.

While the claim that "The company has recently invested in advanced inventory management software that significantly reduces the labor and space required to manage larger stock levels" would make JIC implementation more efficient, it does not fundamentally strengthen the *rationale* for needing JIC to prevent supply chain disruptions. Similarly, although "The market for ElectraCorp's finished products is highly sensitive to price increases, and maintaining larger buffer stocks would necessitate a significant increase in product prices to offset higher inventory costs" correctly identifies a potential negative consequence of JIC, it does not undermine the argument's core premise as directly as the revelation about the actual causes of past production delays.

Rationale:

The CEO's argument observes a temporal correlation between the loyalty program's introduction and a rise in the average amount spent per customer visit, then concludes that the program *caused* the spending increase. This reasoning is most vulnerable to criticism because it assumes that the loyalty program was the sole cause for the increase in the average amount spent per customer visit, overlooking other potential factors that could have contributed to the observed rise, such as seasonal promotions or broader economic trends.

The option stating that the argument fails to provide data on whether customer satisfaction improved after the loyalty program's introduction is irrelevant to the CEO's conclusion about increased spending. Likewise, the claim that the argument does not account for the potential decrease in the total number of customer visits during the same period is not the primary flaw, as the reported success metric is *average spend per visit*, which would not be directly undermined by a change in total visits. Lastly, the argument is not flawed by incorrectly generalizing from a limited sample of customer visits, as the increase was reported "across all participating stores," implying comprehensive data for the region.

Rationale:

The passage first details several deficiencies of traditional annual performance reviews, such as recency bias and creating an adversarial dynamic, thereby highlighting their shortcomings. It then presents continuous feedback models as a superior approach, explaining their benefits like fostering ongoing development and improving communication, which effectively advocates for them as a more advantageous system. Consequently, the purpose to highlight shortcomings and advocate for a better system aligns perfectly with the passage's structure and content. The passage does not describe a historical evolution of performance management practices; instead, it contrasts current methods. Explaining how recency bias disproportionately affects evaluations is too specific and narrow to be the primary purpose of the entire passage, which addresses a broader topic. Lastly, the passage describes the features and advantages of continuous feedback but does not provide actionable steps or advice, so it does not serve as a guide for human resources professionals.

Rationale:
To answer this question, we must combine the qualification criteria from the Memo (Tab 1) with the aggregated data from the City Revenue Office table (Tab 2) for each business sector. The question specifies that we should assume businesses in the chosen sector 'uniformly adopt sustainably sourced packaging,' effectively neutralizing criterion #3 from the Memo for the purpose of comparison, and focusing on the quantifiable criteria present in the table.

Let's evaluate each sector against the quantifiable criteria:

• Waste Diversion: At least 75%
• Energy Efficiency/Renewables: Either Avg. Energy Reduction >= 10% OR Avg. Renewable Energy Use >= 50%
• Local Workforce: At least 50%

Professional Services:

• Waste Diversion: 90% (Pass - >= 75%)
• Energy Efficiency/Renewables: Avg. Energy Reduction is 10% (Pass - >= 10%) AND Avg. Renewable Energy Use is 60% (Pass - >= 50%). Meets both conditions for this criterion.
• Local Workforce: 85% (Pass - >= 50%)

This sector passes all quantifiable criteria.

Hospitality:

• Waste Diversion: 80% (Pass - >= 75%)
• Energy Efficiency/Renewables: Avg. Energy Reduction is 8% (Fail - not >= 10%) AND Avg. Renewable Energy Use is 10% (Fail - not >= 50%). Fails this criterion.
• Local Workforce: 75% (Pass - >= 50%)

Fails on the Energy Efficiency/Renewables criterion.

Light Manufacturing:

• Waste Diversion: 70% (Fail - not >= 75%)
• Energy Efficiency/Renewables: Avg. Energy Reduction is 12% (Pass - >= 10%). Meets this criterion.
• Local Workforce: 55% (Pass - >= 50%)

Fails on the Waste Diversion criterion.

Retail:

• Waste Diversion: 65% (Fail - not >= 75%)
• Energy Efficiency/Renewables: Avg. Energy Reduction is 5% (Fail - not >= 10%) AND Avg. Renewable Energy Use is 20% (Fail - not >= 50%). Fails this criterion.
• Local Workforce: 60% (Pass - >= 50%)

Fails on both Waste Diversion and Energy Efficiency/Renewables criteria.

Of the options provided, only the Professional Services sector meets all the quantifiable criteria for the proposed 'Sustainable Business Certification' program, assuming it adopts sustainable packaging.

Rationale:
Let L be the length and W be the width of the rectangular plot. We need to find the area of the plot, which is L × W.

Evaluate Statement (1) ALONE:
Statement (1) says the perimeter of the plot is 140 meters. The formula for the perimeter of a rectangle is 2(L + W).
So, 2(L + W) = 140, which simplifies to L + W = 70.
This statement provides a relationship between the length and width, but it does not uniquely determine their individual values or their product (the area). For instance, if L=40 and W=30, the area is 40 × 30 = 1200 square meters. If L=50 and W=20, the area is 50 × 20 = 1000 square meters. Since different possible areas exist, Statement (1) alone is NOT sufficient.

Evaluate Statement (2) ALONE:
Statement (2) says the length of the diagonal of the plot is 50 meters. For a rectangle, the length, width, and diagonal form a right-angled triangle. According to the Pythagorean theorem, L² + W² = (diagonal)².
So, L² + W² = 50² = 2500.
Similar to Statement (1), this statement also provides a relationship between L and W, but it does not uniquely determine the area. For example, if L=40 and W=30, then L² + W² = 1600 + 900 = 2500, and the area is 1200 square meters. If L = ?2000 ? 44.72 and W = ?500 ? 22.36 (since (?2000)² + (?500)² = 2000 + 500 = 2500), then the area is ?2000 × ?500 = ?(1,000,000) = 1000 square meters. Since different areas are possible, Statement (2) alone is NOT sufficient.

Evaluate Statements (1) and (2) TOGETHER:
From Statement (1): L + W = 70
From Statement (2): L² + W² = 2500
We are looking for the area, L × W.
We can use the algebraic identity: (L + W)² = L² + 2LW + W².
Substitute the values from both statements into this identity:
(70)² = 2500 + 2LW
4900 = 2500 + 2LW
Subtract 2500 from both sides of the equation:
2400 = 2LW
Divide by 2:
LW = 1200
Therefore, the area of the rectangular plot is uniquely determined as 1200 square meters when both statements are considered together. Both statements together are sufficient.

The final answer is that BOTH statements TOGETHER are sufficient, but NEITHER statement ALONE is sufficient.