the paper discusses the current state of research concerning railway network timetabling and traffic management. timetable effectiveness is governed by frequency, regularity, accurate running, recovery and layover times, as well as minimal headway, buffer times and waiting times. analytic (queuing) models and stochastic microsimulation are predominantly used for estimation of waiting times and ...

We model an environment where orders arrive probabilistically over time, with their revenues and capacity requirements becoming known upon arrival. The decision is whether to accept an order, receiving a reward and reserving capacity, or reject an order, freeing capacity for possible future arrivals. We model the dynamic, stochastic multiple knapsack problem (DSMKP) with stochastic dynamic prog...

In this paper, we consider the e-booking control problem which includes optimal pricing and capacity allocation. In pricing model, customers may refuse bookings based on their willingness to pay the quoted price. Since customer behavior and characteristics are highly varying and not known in advance, we develop a stochastic pricing model which tracks customer behavior as well as the arrival pro...

The semiconductor industry has been one of the driving forces of the “new” economy. It boasts of the exponentially growing performance of semiconductor devices, coupled with rapidly decreasing chip prices; however, it faces highly volatile demands, and copes with astronomical fab costs, most of which can be attributed to tool costs. The leadtime for purchasing tools is between 6 and 18 months, ...

We present a new approach to minimizing of energy consumption by addressing battery management techniques that exploit the charge recovery effect inherent to many secondary storage batteries. We review results that pertain to the capacity of a battery and its dependence on the intensity of the discharge current. The phenomena of charge recovery that takes place under bursty or pulsed discharge ...

Research on dispatching rules has focused upon deterministic job shop situations or small assembly environments and ignored operational factors. This work uses data obtained from a capital goods company that produces complex products. The paper first explores the influence of the data update period and the minimum setup, machining and transfer times under stochastic infinite capacity conditions...