We solve a rich logistical problem inspired from practice, in which a heterogeneous xed eet of vehicles is used for collecting recyclable waste from large containers over a nite planning horizon. Each container is equipped with a sensor, which communicates its level at the start of the day. Given a history of observations, a forecasting model is used to estimate the point demand forecasts as we...

Testing is a crucial step in new product development in many industrial sectors, from microelectronics to the automotive industry. In the pharmaceutical sector, specifically, candidate drugs have to undergo clinical trials, a process that takes 2–4 years and costs hundreds of millions of dollars. In this paper we are concerned with the scheduling of clinical trials and the planning of the resou...

The coalesced presence of motion blur and rolling shutter effect is unavoidable due to the sequential exposure of sensor rows in CMOS cameras. We address the problem of detecting changes in an image affected by motion blur and rolling shutter artifacts with respect to a reference image. Our framework bundles modelling of motion blur in global shutter and rolling shutter cameras into a single en...

The paper deals with active fault detection and dual control in the multiple model framework. A monitored and controlled system is described by a discrete-time linear stochastic model at each step of a finite time horizon. The model belongs to an a priori given set of models, and known transient probabilities describe switching between the models. The goal is to design an active detector and co...

Tendency to optimization in last decades has resulted in creating multi-product manufacturing systems. Production planning in such systems is difficult, because optimal production volume that is calculated must be consistent with limitation of production system. Hence, integration has been proposed to decide about these problems concurrently. Main problem in integration is how we can relate pro...

A microscopic framework for developing phenomenological constitutive models was recently developed for granular materials. The plastic strains are computed from relative sliding and rolling of particles, and the resulting microscopic theory is called the sliding-rolling theory. Within this framework, a phenomenological constitutive model was then developed to describe the anisotropic stress-str...

The hybrid flow shop is a typical discrete manufacturing system. A novel method is proposed to solve the shop scheduling problem featured with uncertain processing times. The rolling horizon strategy is adopted to evaluate the difference between a predictive plan and the actual production process in terms of job delivery time. The genetic regulatory network-based rescheduling algorithm revises ...

We describe robust optimization procedures for controlling total completion time penalty plus crashing cost in projects with uncertain activity times. These activity times arise from an unspecified distribution within a family of distributions with known support, mean and covariance. We develop linear and linear-based decision rules for making decisions about activity start times and the crashi...

The Unit Commitment Problem (UCP) is an important category of power planning problems. The purpose of UCP is to determine when to start up and shut down the generator units and how to dispatch the committed units to meet the electricity demands, ancillary services requirements and security constraints. In this paper, we improve the traditional Lagrange Relaxation (LR) approach and analyze the e...