This paper presents an automated approach for providing ranked lists of outliers in observed demand to support analysts in network revenue management. Such network revenue management, e.g. for railway itineraries, needs accurate demand forecasts.

To make the last mile of parcel delivery more efficient, service providers offer an increasing number of modes of delivery as alternatives to the traditional and often cost-intensive home delivery service. Parcel lockers and pickup stations can be …

We study the risk management problem of a hydropower producer that hedges risk by trading currency and power futures contracts. The model considers three types of risks: operational risk due to supply uncertainty, profit risk due to power price …

We consider the estate division or bankruptcy problem and assume that players sequentially put claims on the estate. Each part of the estate is then divided proportionally with respect to the number of claims on it. We focus on myopic play: …

We consider a pull assembly supply chain consisting of an assembler and its multiple upstream component suppliers/subsidiaries, in which the former buys complementary components from these upstream component suppliers, assembles them into a final …

The increasing damage caused by disasters is a major challenge for disaster management authorities, especially in instances where simultaneous disasters affect different geographical areas. The uncertainty and chaotic conditions caused by these …

In this paper, optimization and simulation techniques are integrated to address single and multiple allocation hub network design problems under uncertainty. Using a scenario-based iterative optimization–simulation approach, four sources of …

In this paper, we consider the process of unloading items from a storage (e.g., a warehouse, depot, etc.). The items are stored in stacks where only the topmost item of each stack can be directly accessed. Each item belongs to a certain family …

We investigate a specific truck scheduling problem at cross-docks in the postal service industry on an operational level aiming to maximise the number of duly parcels assuming fixed departure times of the outbound trucks. The inbound gates and the …

This work demonstrates how real-time delay prediction can be used to determine patient diversion across a healthcare facility network. This work presents diversion mechanisms based on real-time predictions of delays at the facilities from which …

Finding the closest most productive scale size (MPSS) unit is an important issue in the data envelopment analysis (DEA) literature. The closest MPSS unit to the decision-making unit (DMU) under evaluation may be one of the existing (actually) …

Yield and demand randomness are common in the industry, and loss aversion has been regarded as an inherent behavior for decision-makers. We combine these two factors and investigate a retailer’s ordering decisions under both yield and demand …

Market power is a dominant feature of many modern electricity markets with an oligopolistic structure, resulting in increased consumer cost. This work investigates how consumers, through demand response (DR), can mitigate against market power.

The traditional Lerner index is limited in its capacity to estimate the level of competition in the economic sector from the perspective that it mainly focuses on the overall level of market power for each individual decision-making unit.

We investigate the relevance of dynamic variables that reflect the purchase history of a household as independent variables in multicategory choice models. To this end, we estimate both homogeneous and finite mixture variants of the multivariate …

Digitalization allows retailers to target customers with personalized promotions when they enter the store. Although traditional promotional retailer objectives, such as store visit, become obsolete once the shopper is already in the store …

A dynamic game framework is developed to study market dynamics between two manufacturers/service providers competing on pricing and switching costs. In this game, a portion of consumers may choose to upgrade their products by repurchasing from one …