We consider a dynamic inventory (production) model with general order (production) costs and excess demand that can be backordered or refused by the firm. A unit backordered incurs a backorder cost, a unit refused incurs a lost sales charge. Endogenizing the sales decision is necessary in the...

We develop a framework to model the shopping and consumption decisions of forward-looking consumers. Assuming that the consumer’s future utility for each product alternative can be characterized by a standard random utility model, we use dynamic programming to determine the optimal consumption...

We investigate the use of a canonical version of a discrete choice model due to Daganzo (1979) in optimal pricing and assortment planning. In contrast to multinomial and nested logit (the prevailing choice models used for optimizing prices and assortments), this model assumes a negatively skewed...

We develop an appointment scheduling model for a healthcare clinic that includes an upper bound on expected patient wait times. We refer to the schedule it produces as an equitable schedule. The operating environment of our focal clinic included three complicating features, all of which are...

We investigate analytical and empirical properties of the Heteroscedastic Exponomial Choice (HEC) model to lay the groundwork for its use in theoretical and empirical research that build demand models on a discrete choice foundation. The HEC model generalizes the Exponomial Choice (EC) model by...

We derive a general approximation to the distribution of count data based on the first two moments of the underlying interarrival distribution. The result is a variant of the Birnbaum-Saunders (BISA) distribution. This distribution behaves like the lognormal in several respects; however, we show...

Sequential innovation, where a new product is developed to replace an existing product, creates several logistical challenges for innovating firms. We consider a firm that has to make the end-of-life inventory decision (or final build) for an existing product before identifying key performance...

Science and technology advances drive firms to continually enhance their product’s performance and launch sequentially improving offerings. Firms face challenges in marketing such improving products to well informed, forward-looking consumers who anticipate product improvements and seek to...

New product development in several industries is driven by innovations in underlying technologies. Firms developing new generation products often face the following choice: they can either introduce a product based on a proven and immediately available technology, or delay product introduction...