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3892. Enhancing Shopping Centre Profitability through Optimized Tenant Mix and Synergistic Placement
Invited abstract in session WD-50: Retail Optimization, stream Retail Operations.
Wednesday, 14:30-16:00Room: M2 (building: 101)
Authors (first author is the speaker)
| 1. | Grace Maureira-Alegría
|
| Statistics and Operations Research, Universitat Politecnica de Catalunya | |
| 2. | F.-Javier Heredia
|
| Statistics and Operations Research, Universitat Politècnica de Catalunya - BarcelonaTech |
Abstract
The strategic allocation of tenants within shopping centers, known as "tenant mix," is crucial for enhancing profitability in the retail sector. This research delves into creating an ideal combination of retail categories and their placement to boost rental income, a primary financial source for mall operators. Utilizing integer linear programming, we propose a model that integrates the concept of tenant synergy at its core—a critical yet underexplored aspect in the literature. This model includes constraints based on the total leasable space available and the strategic distribution of store units. Drawing upon a dataset from 27 shopping centers in Spain, we construct a regression model to estimate base rent, positioning it as the critical component of our objective function to maximize rental income. Additionally, this objective function features a synergy-based scoring system as an extra component, designed to enhance sales revenues and create a balanced retail environment through strategic tenant placement. The effectiveness of our model is demonstrated through several case studies, highlighting its potential to increase rental income and sales. Our findings offer mall operators a practical tool to optimize vacant spaces, facilitating strategic decision-making in the retail industry.
Acknowledgments: This research was partially supported by ANID (Chile) through Ph.D. scholarship #72190065 and AGAUR through Ph.D. project #2019DI098.
Keywords
- Programming, Integer
- Location
Status: accepted
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