Ship inspections conducted by port state control (PSC) can effectively reduce maritime risks
and protect the marine environment. The effectiveness of PSC depends on accurately …

New product supply chain planning is challenging, primarily due to the lack of historical
demand data. Rarely, however, do the academic literature or companies differentiate the …

Advances in machine learning methods and the availability of new data sources show
promise for improving prediction of operational risk. Maritime transportation is the backbone …

The wisdom of a crowd can be extracted by simply averaging judgments, but weighting
judges based on their past performance may improve accuracy. The reliability of any …

The acquisition of production flexibility is a well-documented strategy pursued by many firms
to counteract certain operational constraints. However, these flexibilities can increase the …

Literature supports that buyers can influence suppliers to adopt sustainable practices. Much
of this literature, however, is descriptive and takes only the perspective of a buyer trying to …

The paper develops a model for combining point forecasts into a predictive distribution for a
variable of interest. Our approach allows for point forecasts to be correlated and admits …

In this paper, we develop a new characterization of multiple-point forecasts provided by
experts and use it in an optimization framework to deduce actionable signals, including the …

Input model bias is the bias found in the output performance measures of a simulation model
caused by estimating the input distributions/processes used to drive it. When the simulation …

Problem definition: Prototy** and testing are an integral part of almost any new product
development process, hel** firms navigate the inherent uncertainties of creating new …