Overall energy efficiency is crucial for green production and carbon dioxide emission, especially for energy-intensive industries such as steel making. To deal with unrelated parallel machine scheduling for steelmaking-continuous casting that is the bottleneck and energy-intensive process, this...

We consider a periodic-review single-product multi-echelon inventory problem with instantaneous replenishment. In each period, the decision-maker makes ordering decisions for all echelons. Any unsatisfied demand is backordered, and any excess inventory is carried to the next period. In contrast...

We study a data-driven single-period inventory management problem with uncertain demand, wherein a large amount of textual word-of-mouth and historical data are accessible. Unlike two-step frameworks (i.e., predict-then-optimization), we propose an end-to-end (E2E) framework that uses a deep...

Recent technological developments related to the extraction and processing of data have given rise to widespread concerns about a reduction of privacy in the workplace. For a growing number of low-income and subordinated racial minority work forces in the United States, however, on-the-job data...

The linear ordering problem (LOP), which consists in ordering M objects from their pairwise comparisons, is commonly applied in many areas of research. While efforts have been made to devise efficient LOP algorithms, little was done to verify if the obtained solutions are valid and thus if they...

We consider the situation when the number of claims is unavailable, and a Tweedie’s compound Poisson model is fitted to the observed pure premium. Currently, there are two different models based on the Tweedie distribution: a single generalized linear model (GLM) for mean and a double...

Vermehrt übernehmen Algorithmen die Preissetzung für Unternehmen. Doch wie wirkt es sich auf die Dynamiken der Märkte aus, wenn nicht mehr ausschließlich Menschen das Wettbewerbsverhalten bestimmen? Welche Risiken gibt es und bedarf es einer Anpassung des Kartellrechts? Der Autor setzt sich...

Growing evidence shows that artificial intelligence (AI) can perform core research activities such as reviewing prior literature, processing data, and solving problems. We shift the focus from AI as a “worker” to ask whether and how AI can also “manage” human workers who perform research...

This paper presents an algorithm for simulating multiple equilibria in otherwise-linearmodels with perfect foresight and occasionally-binding constraints. We extend theguess-verify approach of Guerrieri and Iacoviello (2015) to detect and simulate multipleperfect foresight equilibria, and also...