Chemical-safety costs uncertain

Robust Wagner–Whitin algorithm with uncertain costs

In real-world applications, costs for products are not deterministic: neither static nor dynamic. They actually tend to be non-stationary and cross-correlated. To overcome this drawback, there have been some efforts by researchers to extend the Wagner–Whitin algorithm to consider stochastic costs. However, they assume that the information of probability density function of random costs exists. ...

Minimax Classifier for Uncertain Costs

Many studies on the cost-sensitive learning assumed that a unique cost matrix is known for a problem. However, this assumption may not hold for many real-world problems. For example, a classifier might need to be applied in several circumstances, each of which associates with a different cost matrix. Or, different human experts have different opinions about the costs for a given problem. Motiva...

Standby Redundancy Optimization Problems with Uncertain Lifetimes and Uncertain Costs

Redundancy optimization problem with cost constraints is a typical problem in reliability engineering. This study investigates standby redundancy optimization problem with uncertain lifetimes and uncertain costs. Three models for optimizing different performances of a standby system are formulated. In these models, maximizing the reliability measure, maximizing the system lifetime and minimizin...

Dynamic Disclosure with Uncertain Disclosure Costs∗

This paper extends the canonical single-period model of voluntary costly disclosure to a dynamic setting with asymmetric information over disclosure costs. I show that dynamic incentives have an ambiguous effect on firms’ disclosure decision and that the cost of disclosure no longer prevents full disclosure by all firms. My main results show that (1) there is a positive inter-temporal connectio...

Increase Safety, Reduce Costs