The definition of train scheduling is going to shift its current static approach, as generally resulting in a timetable, towards dynamic approach where the timetable can be modified order enhance satisfaction passengers’ demand. In this paper, demand-oriented and rescheduling models are formalized propose that satisfy groups passengers. More specifically, assessment based on min max method. pro...

In October 2014, the Drug Enforcement Administration in the U.S. reclassified hydrocodone combination products (HCPs) from Schedule III to Schedule II, initiating one of the most significant and controversial regulatory changes for opioids in recent national history. The aim of the present study was to determine community pharmacist opinions on the effect of the rescheduling of HCPs on their pe...

The paper tackles the problem of managing the uncertainties during the execution of predictive schedules in a dynamic environment. The dynamic environment in question is represented by a simulation model – connected to a production scheduler system – with flexible modelling capabilities. The paper addresses the simulation module of the proposed architecture highlighting its main functionalities...

The presented problem concerns the route planning of a UAV fleet carrying out deliveries to spatially dispersed customers in highly dynamic and unpredictable environment within specified timeframe. developed model allows for predictive (i.e., taking into account forecasted changing weather conditions) reactive enabling contingency UAVs rerouting) delivery mission NP-hard problem) terms constrai...

The paper gives a review of the literature related to the stability measures and describes a new concept with exhaustive simulation results. Predictive production schedules are calculated by a scheduler based on a genetic algorithm, hybridized with a modified Giffler&Thompson algorithm. By applying the proposed scheduler and executing the resulted schedules by simulation, the solution methods f...

Almost all manufacturing facilities need to use production planning and scheduling systems to increase productivity and to reduce production costs. Real-life production operations are subject to a large number of unexpected disruptions that may invalidate the original schedules. In these cases, rescheduling is essential for minimizing the impact in the performance of the system. In this work we...

Abstract Within flexible job shops, the rescheduling approach should have the capability of self adaption when the type of disturbance changes. Considering three types of uncertain disturbances, including rush orders, task delays and machine failures, self-adaptive framework under multiple uncertainties has been achieved by defining affected tasks and other system parameters in a uniform patter...

This paper develops a cross-country statistical model of debt rescheduling, and the secondary market valuation of LDC debt, which links these variables to key structural characteristics of developing countries, such as the trade regime, the degree of income inequality, and the share of agriculture in GNP. Our most striking finding is that higher income inequality is a significant predictor of a...

Operating rooms have become the most important areas in hospitals because of the scarcity and cost of resources. The present study investigates operating room scheduling and rescheduling considering the priority of surgical patients in a specialized hospital. The ultimate purpose of scheduling is to minimize patient waiting time, surgeon idle time between surgeries, and penalties for deviations...