In treating both sewage and storm runoff, wastewater treatment plants are important to maintaining a healthy environment. If the plant operations managers do not respond correctly to plant conditions, environmental damage resulting in the deterioration of human health may be the result....

Effective measurement and analysis of service quality are an essential first step in its improvement. This paper discusses the development of neural network models for this purpose. A valid neural network model for service quality is initially developed. Customer data from a SERVQUAL survey at...

In order to obtain a correct failure diagnosis and to prepare more effective maintenance programmes, it is essential to have reliable forecasts about the trend of equipment and machinery failure rate. In this work attention is focused on the transport sector. First the strong points of the...

Purpose – This study aims to adapt a neural network based fuzzy time series model to improve Taiwan's tourism demand forecasting. Design/methodology/approach – Fuzzy sets are for modeling imprecise data and neural networks are for establishing non‐linear relationships among fuzzy sets. A...

Discusses consumer lifestyle attributes and psychographic data with respect to market segmentation and as systematized by “Eurostyles”. Describes a sample application of a neural etwork model to assist in the transfer of the Eurostyle typology to the USA.

In recent years, neural networks have become popular in the scientific and business fields. In the hotel industry, researchers have recently devoted attention to the application of neural networks to the classification of tourist segments and the prediction of visitor behaviour. However, no...

Purpose – This study aims to apply a new forecasting approach to improve predictions in the hospitality industry. To do so, the authors developed a multivariate setting that allows the incorporation of the cross-correlations in the evolution of tourist arrivals from visitor markets to a...

Accurate market segmentation has been the basis for successful customization of products and services. To date, however, the marketing management literature has focused mainly on the exploration of segmentation variables, but lagged behind in the development of practical means for segmentation...

Reports that cellular manufacturing is a production techniques where parts processed on similar machines are grouped into manufacturing cells. These clusterings have been found to reduce production costs, improve quality and generate other benefits for businesses. Mathematically, the formulation...

Focuses on the development and implementation of an expert system in a paper mill plant of a large Fortune 500 company. A noteworthy issue in the development of this expert system is the use of neural network technology to decrease the number of rules needed and to improve the efficiency of the...