We designed a decision-support system for FRILAC Company in Navarre, Spain, to optimize its routes for delivering frozen products. FRILAC’s logistics department had been organizing deliveries based on vehicle runs, but FRILAC deemed this process inaccurate and expensive. We suggested simplifying this procedure by creating a decision-support system (DSS). We had a twofold aim: to design a route ...

An important focus in current research on decision support systems (DSS) is the design of flexible environments to facilitate and support learning about the problem domain by the user. This research uses case-based reasoning to present a symbiotic DSS in which both the user and the DSS learn from each other. The user learns from the DSS (from stored prior problem solutions) and the system learn...

D ecision support systems (DSSs) are software products that help users apply analytical and scientific methods to decision making. They work by using models and algorithms from disciplines such as decision analysis, mathematical programming and optimization, stochastic modeling, simulation, and logic modeling. DSS products can execute, interpret, visualize, and interactively analyze these model...

Herbert Simon is one of the key researchers whose work has been drawn upon constantly by IS researchers. In this paper, we examine his legacy and illustrate his impact on the research carried out in the decision making area. Although he did not directly work on the concept of Decision Support System, much of his research can be regarded as theoretical foundation for DSS. We examine his contribu...

This article describes a decision support system for land-use structure optimization and land-use allocation. This system was established for the rural land managers to explore their land use options. It integrated database technology, expert system technology and spatial decision support system technology. The DSS consist of four components: a geographic information system (GIS), land use modu...

In the field of manufacturing systems automated data acquisition and development of technological innovations like manufacturing execution systems (MES), Enterprise Resource Planning (ERP), Advanced Planning Systems (APS) and new trends in Big Data and Business Intelligence (BI) have given rise to new applications and methods of existing decision support technologies. Today manufacturers need a...

Information technology both facilitates and exacerbates the need for organizations to manage growing information and knowledge bases. Soon, the only successful enterprises may be the ones who have successfully evolved into learning organizations. The philosophical bases underlying traditional decision support systems (DSS) are ill equipped to handle this explosion of information, today’s rapidl...

The development and deployment of managerial decision support system represents an emerging trend in the business and organizational field in which the increased application of Decision Support Systems (DSS) can be compiling by Intelligent Systems (IS). Decision Support Systems (DSS) are a specific class of computerized information system that supports business and organizational decision-makin...

The development cycle of a decision support system involves many resources, time and high cost and above all, the database schema used in the system is built only for some specific tasks. So, a relational database schema or a data warehouse prototype cannot be easily mapped and reused in multiple DSS projects. In this paper we propose an object-oriented (OO) approach and an OO database schema t...

Assessing the value of decision support systems (DSS) in organizations is an important line of research. Traditionally, researchers adopt user satisfaction and decision performance as two measures of system success. In some cases, however, the use of DSS may not be driven by satisfaction. Instead, avoiding possible decision errors may be the reason for adoption, which indicates that regret avoi...