Increasing awareness of the ecological impacts of industrial growth, resource scarcity as well as changing consumption patterns, has led to the growth of sustainability issues in supply chain practices. The purpose of this paper is to highlight a few areas of possible importance in planning,...

A new fuzzy mathematical programming model for supply chain planning under supply, process and demand uncertainty is proposed in this paper. A tactical supply chain planning problem has been formulated as a fuzzy mixed integer linear programming model where data are ill-known and modeled by...

This work intends to contribute to the planning guidelines in the field of Supply Chain Management (SCM). Thus, it develops a multi-model proposal supported by the definition of a highly complex spectrum of knowledge that considers a sequence of systematic procedures in the following phases –...

Supply chain demand forecast and inventory purchase planning are essential business operations to many businesses. In this paper, we discuss the strategies and techniques in the supply chain demand forecast and inventory purchase planning for small businesses from practitioner's perspective. The...

Although there is little academic research that supports the usefulness of technical analysis, its use remains widespread in commodity markets. Much prior research into technical analysis suffered from data-snooping biases. Using genetic programming, ex ante optimal technical trading strategies...

A popular argument states that most of the diversification in a portfolio can be obtained with a rather small number of securities. In this paper we present three algorithms to approach the underlying NP-hard problem of portfolio optimization with a cardinality constraint. All three of these...

We present the basic mechanisms of Genetic Algorithms and some significant applications of these algorithms in economics. The article also provides a representative reference list on this topic.

Site layout planning is a complicated issue due to the existence of a vast number of trades and inter-related planning constraints. In this paper, artificial neural networks are used to model the non-linear operations of a key site facility: a tower crane — for high-rise public housing...

The main aim of the paper is to briefly investigate the most significant topics of the currently used methodologies of solving and implementing SVM-based classifier. Following a brief introductory part, the basics of linear SVM and non-linear SVM models are briefly exposed in the next two...