Reconfigurable manufacturing systems (RMS) are considered the future of manufacturing,
being able to overcome both dedicated (DMS) and flexible manufacturing systems (FMS). In …

Meta-heuristic approaches are general algorithmic framework, often nature-inspired and
designed to solve NP-complete optimization problems in cellular manufacturing systems …

In this paper we propose an ant colony optimization metaheuristic (ACO-CF) to solve the
machine–part cell formation problem. ACO-CF is a MAX–MIN ant system, which is …

Multi-objective layout optimization methods for the conceptual design of robot cellular
manufacturing systems are proposed in this paper. Robot cellular manufacturing systems …

This paper presents a quantitative review of the influence and the impact of the two major
soft computing approaches, Artificial Neural Network and Genetic Algorithm on cell …

Genetic algorithm is believed to be the most robust unbiased stochastic search algorithm for
sampling a large solution space. Considering the steady convergence framework of genetic …

Designing and controlling cellular manufacturing systems (CMS) constitute tactical and
operational decisions that include cell formation (CF), group layout (GL), and group …

This study provides a systematic and integrated review of articles, puts into perspective, the
conceptualisation and various critical parameters for research on the application of genetic …

The machine cell formation is the first major step in the design of Cellular Manufacturing
Systems (CMS). Several production data such as production volume, operation sequences …

Two topics in the part-machine cell formation problem are discussed: In the first part, a
Lagrangean relaxation in a mathematical programming model is proposed to …