I started with the obvious stuff, nearest elevator dispatching, direction priority, that kind of thing.
Start by clarifying the problem requirements and assumptions, such as guest arrival patterns and elevator constraints. Then propose a high-level algorithm that optimizes for average wait time and throughput, and discuss trade-offs between different strategies. Finally, outline how you would test and refine the algorithm.
Pro tip: Demonstrate awareness of real-world constraints like peak hours and energy efficiency, and suggest a hybrid approach that adapts to demand. This shows you think beyond textbook algorithms and consider practical deployment.
Ask questions to understand the expected guest distribution, arrival rates, and elevator specifications. Establish whether the goal is to minimize wait time, travel time, or energy consumption.
Identify key performance indicators (e.g., average wait time, maximum wait time) and constraints (e.g., elevator capacity, speed, floor restrictions). This sets the optimization criteria.
Describe a high-level algorithm, such as a centralized dispatcher that assigns elevators based on current requests and predicted demand. Consider using heuristics like nearest-elevator or sector-based zoning.
Compare your approach with alternatives (e.g., independent operation, destination dispatch) in terms of complexity, fairness, and efficiency. Discuss scenarios where each performs best.
Outline how you would simulate or test the algorithm under various conditions, and how you would refine it based on performance data.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.