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Explore store-wide space planning methodologies that integrate multiple objectives including impulse profit, shopping convenience, and health considerations in this research seminar. Learn how spatial demand models are embedded within nonlinear integer programs and subsequently linearized to generate effective solutions using popular solvers. Discover the key building blocks of contemporary macro space planning models through case studies involving two supermarkets across different continents, examining managerial insights and computational challenges. Understand how classical queueing theory, particularly Little's law and the M/G/∞ system, provides valuable insights when viewing shopping areas as self-service systems with infinite capacity. Examine practical applications including social distancing constraints, shopping visit duration analysis, and the impact of traffic variability on retail space allocation decisions.
