Highly imbalanced data sets are those where the class of interest is rare. In this paper, we compare the performance of several common data mining methods, logistic regression, discriminant analysis, Classification and Regression Tree (CART) models, C5, and Support Vector Machines (SVM) in...

The paper studies the impact of a green supplier’s overconfidence on inventory decisions in a supply chain consisting of a supplier facing effort-dependent stochastic demand and a rational retailer. The overconfident supplier may overestimate the product demand due to carbon-reduction green...

We consider the simultaneous design and operation of remnant inventory supply chains. Remnant inventory is generated when demand for various lengths of a product may be satisfied by existing inventory, or by cutting a large piece into smaller pieces. We formulate our problem as a two-stage...