This paper introduces a three-phase heuristic approach for a large-scale energy management and maintenance scheduling problem. The problem is concerned with scheduling maintenance and refueling for nuclear power plants up to five years into the future, while handling a number of scenarios for future demand and prices. The goal is to minimize the expected total production costs. The first phase ...

Regarding the railway infrastructures, planning for track maintenance is a challenging task given coordination required between train traffic and operations. In this paper, using stochastic mathematical programming, we have investigated simultaneous scheduling of trains operations single-track line to minimise both travel time duration. The uncertainty in blockage duration considered model redu...

Abstract: In order to occupy a competitive position in semiconductor industry the most important challenges a fabrication plant has to face are the reduction of manufacturing costs and the increase of production yield. Predictive maintenance is one possible way to address these challenges. In this paper we present an implementation of a universally applicable methodology based on the theory of ...

This paper presents a method for predicting the optimum initial service life and optimum periods of resurfacing for flexible pavements. The method is based on consideration of total pavement costs including the cost of initial construction, routine maintenance and major maintenance and increased road user costs resulting from the maintenance operations. Standard economic analyses techniques wer...

Operations research, the science of decision-making, offers a logical structure to management decisions. Operations research is known by several synonyms including systems analysis, quantitative analysis, and management science. Systems decisions can be classified as allocation, scheduling and routing, competition, queuing (waiting) lines, inventory control, searching, replacement, and maintena...

Wind farms provide a source of clean and renewable energy. However, unlike many industries where machines are operated under more or less static conditions, wind turbines suffer from stochastic loading due to the hourly or seasonal variation of wind speed and direction. The stochastic loading of wind turbines makes their degradation or failure prediction rather complex. This in turn makes the d...