This paper presents an overview of the different types of neural network models which are
applicable when solving business problems. The history of neural networks in business is …

In this case study, we investigate the effects of experimental design on the development of
artificial neural networks as simulation metamodels. A simple, deterministic combat model …

In today's business environment, cycle time is a critical performance measure for
manufacturing, and accurate estimation of cycle time–throughput (CT–TH) relationships …

Abstract The Flexible Job-Shop Scheduling Problem is concerned with the determination of
a sequence of jobs, consisting of many operations, on different machines, satisfying several …

When the systems under investigation are complex, the analytical solutions to these systems
become impossible. Because of the complex stochastic characteristics of the systems …

Artificial neural networks are often proposed as an alternative approach for formalizing
various quantitative and qualitative aspects of complex systems. This paper examines the …

There is an abundance of prior research on the optimization of production systems, but there
is a research gap when it comes to optimizing which components should be included in a …

Large-scale industrial production processes face increasingly tight environmental
constraints, which can be addressed through costly but relatively simple end-of-pipe …

In most manufacturing systems the contribution of human labour remains a vital element that
affects overall performance and output. Workers' individual performance is known to be a …

The focus of the research work presented in this article is the design of an industrial plant
devoted to produce different types of hazelnuts-based products. The industrial plant design …