In this paper, we study hybrid manufacturing/remanufacturing inventory systems that produce a single product to satisfy random demands over a finite planning horizon. In each period, the firm receives random demand and random product returns. A serviceable product can be manufactured from raw...

We study newsvendor network (NN) models for managing inventory in multi-resource, multi-product systems that involve both common resource requirements and fulfillment flexibility. Such systems arise in a wide range of applications, including production and e-commerce, but optimizing their...

Problem definition: To limit fresh products’ waste, grocery retailers that manage limited shelf lifeproducts require suppliers to only send products with a remaining shelf life of at least a minimum life on receipt (MLOR). Such MLOR agreements may, however, substantially increase product waste...

Motivated by blockchain applications in the fresh produce industry, we consider a newsvendor problem in which a retailer faces stochastic and freshness-dependent consumer demand. The retailer can adopt blockchain technology to have more transparent information on the freshness of supply. We...

We review academic research on dual-sourcing (or dual-mode) dynamic stochastic inventory models, which study the replenishment of inventory from two sources (or two transportation modes) in the presence of demand uncertainty. The classic assumption, also adopted here, is that the two sources...

Problem definition. Operations and decision making, often rely on accurate forecasts. The business forecasting process requires choosing the appropriate forecasting method, evaluating forecasts, aiding expert interventions, among other activities. In such activities, the metric we select to...

This paper discusses a prescriptive analytics approach to solving a joint markdown pricing and inventory allocation optimization problem under demand parameter uncertainty. We consider a retailer capable of price differentiation among multiple customer groups with different demand parameters...

This paper studies dynamic inventory and pricing decisions for a set of substitutable products over a finite planning horizon with full backlogging. The objective is to maximize the total expected discounted profit. We present a general stochastic, price-dependent demand model that unifies many...

We consider a partially observable inventory system in which the inventory level can only be observed when it reaches zero, the unmet demand is lost, and replenishment orders must be decided so as to minimize the long-run average cost. This problem has an infinite-dimensional state space and is...