This paper discusses the development of interdiction optimization models and algorithms,
with an emphasis on mathematical programming techniques and future research challenges …

Multi-level decision-making (MLDM) handles problems that require compromise between
the objectives of two or more interacting entities which are arranged within a hierarchical …

Choice-based demand estimation is a fundamental task in retail operations and revenue
management, providing necessary input data for inventory control, assortment, and price …

We propose an expectation-maximization (EM) method to estimate customer preferences for
a category of products using only sales transaction and product availability data. The …

A retailer's product selection decisions are largely driven by her assumptions on how
consumers make choices. We use a ranking-based consumer choice model to represent …

We develop an expectation-maximization algorithm to estimate the parameters of the
Markov chain choice model. In this choice model, a customer arrives into the system to …

The multi-attribute biomass and food production (BFP) problem facing farmers and co-
operatives is further complicated by uncertainties in crop yield and prices. In this paper, we …

In retail operations, customer choices may be affected by stockout and promotion events.
Given panel data with the transaction history of customers, and product availability and …

The competitive set covering problem is a two-player Stackelberg (leader–follower) game
involving a set of items and clauses. The leader acts first to select a set of items, and with …

Traffic volumes are naturally variable and fluctuate from day to day. Robust optimization
approaches have been utilized to address the uncertainty in traffic signal timing optimization …