Many defects in manufacturing system are caused by human resources that show the significance of the human resources in manufacturing systems. Most manufacturers attempt to investigate the human resources in order to improve the work conditions and reduce the human error by providing a proper work-rest schedule. On the other hand, manufacturer deal with machine scheduling based on demand and wo...

Next generation wireless networks have many promising features, such as high datarates, hybrid voice and data services, integration of different wireless access technologies, andintelligent networks with self-maintenance. With these features, several scheduling andresource optimization issues arise. In this dissertation, I aim to address these issues by firstformulating the prob...

As the share of wind energy increases on the global energy market, the efficient operation of wind farms gains an ever growing significance. Among operational decisions, the planning and scheduling of maintenance operations are crucial for the availability of turbines, as well as for the operational costs. The paper introduces a system that performs the detailed scheduling of maintenance operat...

Maintenance scheduling for high value assets has been studied for decades and is still a crucial area of research with new technological advancements. The main dilemma of maintenance scheduling is to avoid failures while preventing unnecessary maintenance. The technological advancements in real time monitoring and computational science make tracking asset health and forecasting asset failures p...

Information technology applications have proven effective in the maintenance of constructed facilities. The objective of the study is to enhance building maintenance using Radio Frequency Identification (RFID) technology. A data management module is first developed to collect building usage and maintenance data. A statistical module is then established to graphically display the collected data....

The thermal generator maintenance scheduling problem has been tackled by a variety of traditional optimisation techniques over the years. This paper proposes a method to solve the maintenance scheduling problem, called parallel co-operating memetic algorithm (PARME). In the proposed model used a variety of selection mechanism, operators, communication methods, local search procedures are applie...

A data-driven model for scheduling pumps in a wastewater treatment process is proposed. The objective is to minimize the cost of pump operations and maintenance. A neural network algorithm is applied to model performance of the pumps using the data collected at a municipal wastewater treatment plant. The discrete-state Markov process is utilized to develop a model of maintenance decisions. The ...

This article investigates a JIT single machine scheduling problem with a periodic preventive maintenance. Also to maintain the quality of the products, there is a limitation on the maximum number of allowable jobs in each period. The proposed bi-objective mixed integer model minimizes total earliness-tardiness and makespan simultaneously. Due to the computational complexity of the problem, mult...

In industries machine maintenance is used in order to avoid untimely machine fails as well as to improve production effectiveness. This research regards a permutation flow shop scheduling problem with aging and learning effects considering maintenance process. In this study, it is assumed that each machine may be subject to at most one maintenance activity during the planning horizon. The objec...