This paper addresses the Tardy/Lost penalty minimization with common due dates on a single machine. According to this performance measure, if the tardiness of a job exceeds a predefined value, the job will be lost and penalized by a fixed value. Initially, we present a 2-approximation algorithm and examine its worst case ratio bound. Then, a pseudo-polynomial dynamic programming algorithm is de...

Abstract We present a novel tool for generating speculative and hedging foreign exchange (FX) trading policies. Our solution provides schedule that determines trades in each rebalancing period based on future currency prices, net account positions, incoming (outgoing) flows from business operations. To obtain such policies, we construct multistage stochastic programming (MSP) model solve it usi...

Production of highly viscous tar sand bitumen using Steam Assisted Gravity Drainage (SAGD) with a pair of horizontal wells has advantages over conventional steam flooding. This paper explores the use of Artificial Neural Networks (ANNs) as an alternative to the traditional SAGD simulation approach. Feed forward, multi-layered neural network meta-models are trained through the Back-...