In this paper, a multi-objective model is proposed to address the dynamic cellular manufacturing (DCM) formation problem. This model considers four conflicting objectives: relocation cost, machine utilization, material handling cost and maintenance cost. The model also considers the situation that some machines could be shared by more than one cell at the same period. A genetic algorithm is app...

In recent years, artificial neural networks have been applied to solve a variety of problems in numerous areas of manufacturing at both system and process levels. The manufacturing applications of neural networks comprise the design of manufacturing systems (including part-family and machine-cell formation for cellular manufacturing systems); modeling, planning, and scheduling of manufacturing ...

In this study, we highlight the impact of advanced new technical equipment on work design issues in a cellular manufacturing (CM) production environment. A large number of studies deal with the influence of technical systems on work design (e.g. Benders, 1993; McLoughin and Clark, 1994) or deal with work design issues in cellular manufacturing systems (e.g. Huber and Brown, 1991). However, as f...

The design of cellular manufacturing system (CMS) involves many structural and operational issues. One of the important CMS design steps is the formation of part families and machine cells which is called cell formation. In this paper, we propose an efficient algorithm to solve a new mathematical model for cell formation in cellular manufacturing systems based on cell utilization concept. The p...

Cellular materials, metallic bodies with gaseous voids, are a promising class of materials that offer high strength accompanied by a relatively low mass. Unfortunately, existing manufacturing techniques constrain a designer to a predetermined part mesostructure, material type, and macrostructure. In this paper, the authors document their design rationale for the selection of the Three-Dimension...