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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 22 for “"Assortment Optimization"”.
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Choice Modeling and Assortment Optimization on the Transformer Model
… problem of modeling customer choices and finding assortments with maximal revenue has been widely studied in revenue management. Random utility models (RUMs) are typically used to model choice. These models implicitly enforce a rational decision making process whereby a customer is endowed with …
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Assortment optimization problems under new choice models and business contexts
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-08-01
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Applications of Optimization and Machine Learning in Assortment Optimization and Revenue Management
Firms in modern product markets must often make assortment and pricing decisions in environments where demand structure is complex, high-dimensional, or only partially observable. Traditional approaches typically rely on parametric demand models and rich transactional data, which may not always be …
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Assortment and inventory optimization : from predictive choice models to near-optimal algorithms
… to resolve this disconnect in the context of assortment and inventory optimization, through theoretical and empirical investigation. First, we tightly characterize the complexity of general nonparametric assortment optimization problems. We reveal connections to maximum independent set and …
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Quantitative methods for testing pricing strategies at the United States Postal Service
… the consumer experience. This paper introduces assortment optimization techniques USPS can use to identify improvements to their current retail pricing approach.
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Choice modeling and recommendation optimization in presence of context effects
… products to offer to the customer including (i) assortment optimization problem or reward maximization problem, (ii) click through rate optimization problem, and (iii) customer surplus optimization problem. The first model we propose is a random utility discrete choice model which captures …
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Online Combinatorial Optimization for Digital Marketplaces
… situations. Examples of such problems include assortment optimization, product ranking, and bid optimization for online advertising. The thesis overall investigates online combinatorial optimization in digital marketplaces with various applications, covering general combinatorial problems, …
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Revenue management and learning in systems of reusable resources
… First, we address the problem of pricing and assortment optimization for reusable resources under time-homogeneous demand. We demonstrate that a simple randomized policy achieves at least one half of the optimal revenue in both the pricing and assortment settings. Further, when prices are …
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Data-Driven Decision Making in Operations Management
… of the thesis (Chapter 4), we study online assortment optimization for reusable resources. E-commerce platforms like Amazon and Expedia constantly endeavor to recommend more favorable assortments of products and services to their customers. The choice of assortment influences customer …
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Learning and Optimization in Modern Retail
… topic of this thesis is the application of optimization and statistical inference methods to practical industry problems in the domains of supply chain, demand estimation, assortment optimization, and experimentation. We develop new methodologies that improve the practice of operations …
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Airline Dynamic Offer Creation Using A Markov Chain Choice Model
… research. Along this roadmap, entirely new price optimization problems and revenue opportunities arise, for which no known solutions exist. For example, the optimization of both ancillary bundle offers and branded fare families becomes increasingly relevant as the airlines gain additional dynamic …
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Inventory positioning in modern retail
… to influence their customers through the assortments they offer, especially online. In this thesis, we study two main challenges related to inventory positioning in omni-channel and provide new models and algorithms. First, we study the problem of choice modeling and assortment …
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Airline revenue management with dynamic offers : bundling flights and ancillary services
… offer sets represents a new joint pricing and assortment optimization problem in revenue management. We propose a formulation for the dynamic offer generation problem and study the robustness of its solution. We derive conditions under which selling the flight in a bundle with an ancillary …
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Behaviorally-Informed Discrete Choice Models in Operations Management
… realism into analytical models of pricing and assortment optimization. Traditional discrete choice models (DCMs) simplify customer behavior by assuming that greater variety always increases purchase likelihood, that price sensitivity is homogeneous across different customer segments, and that …
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Assortment and Pricing Optimisation under non-conventional customer choice models
… industries. In the center of this area lays the assortment problem, which amounts to find a subset of products to offer in order to maximise revenue, provided that customers follow a certain model of choice. Most studied models satisfy the following property: whenever the offered set is enlarged, …
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Assortment and Pricing Optimisation under non-conventional customer choice models
… industries. In the center of this area lays the assortment problem, which amounts to find a subset of products to offer in order to maximise revenue, provided that customers follow a certain model of choice. Most studied models satisfy the following property: whenever the offered set is enlarged, …
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Cannibalization effects of products in Zara's stores and demand forecasting
… also constitutes the first step towards product assortment optimization at Zara.
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Essays in Consumer Choice Driven Assortment Planning
Product assortment selection is among the most critical decisions facing retailers: product variety and relevance is a fundamental driver of consumers' purchase decisions and ultimately of a retailer's profitability. In the last couple of decades an increasing number of firms have gained the …
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Operational decisions and learning for multiproduct retail
… In the second chapter, we study the static assortment optimization problem under weakly rational choice. This setting applies to most choice models studied and used in practice. We give a mixed-integer linear optimization formulation and present two branch-and-bound algorithms for solving …
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Algorithms for discrete, non-linear and robust optimization problems with applications in scheduling and service operations
… that arise in discrete, continuous and robust optimization. First, we present a general framework for designing approximation schemes for combinatorial optimization problems in which the objective function is a combination of more than one function. Examples of such problems include those in …
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