Bayesian Networks (BNs) are graphical probabilistic models that offer a suitable modeling approach for decision support problems under uncertainty. Both the graphical structure and conditional probability tables of BNs can ...

Project monitoring and control are essential for project success. One of the most commonly used project control methods is Earned Value Management (EVM). EVM ensures that the projects are controlled in terms of cost, time ...

To achieve operational excellence, companies must satisfy the customers’ quality expectations while reducing the number of encountered defects and reworks. This can be achieved only if companies produce the product ...

Genetic Algorithms (GAs) are heuristic algorithms that are used to approximate the optimal solutions of optimization problems. They are inspired by the theory of natural evolution, where a population of solutions evolves ...

Military fighter aircraft are designed to operate in difficult conditions, such as suddenly changing pressure and temperature environments. This brings complex requirements and interfaces between many systems on board. ...

In the production of composite parts, usually multiple parts are loaded into the autoclave in one batch. A typical autoclave curing cycle has three main phases and proceeds as follows: all parts are heated until they reach ...

It is not easy to decide on a final solution among a set of alternatives considering multiple criteria; therefore, several Multiple Criteria Decision Making (MCDM) approaches have been proposed and implemented in the ...

Machine learning (ML) which is a branch of artificial intelligence (AI), has been an important approach used in the medical domain. ML approaches learn from historical data to evaluate and predict patient status. These ...