One of the crucial steps in the design of a cellular manufacturing system is the cell formation problem, which involves grouping the parts into part families and machines into manufacturing cells, so that parts with similar processing requirements are manufactured within the same cell.
In the production management context, they are often used for the modelling of manufacturing cells.
The technology was invented by Gene Kirila II and Robert McCollum, two Pennsylvanians who envision scattering leased VEC manufacturing cells around the world that would produce a variety of products close to where they would be used.
A mathematical programming model is developed which determines an assignment of parts, machines and subassemblies to manufacturing cells.
In this paper, we develop a knowledge-based system that cooperates with simulation for improving the performance of manufacturing cells.
Modern manufacturing systems are often composed of a variety of highly customized units and specifically designed manufacturing cells.
We consider the problem of designing an optimal unidirectional loop to serve manufacturing cells in an automated guided vehicle system.
The CLLP is concerned with determining the efficient arrangement of manufacturing cells on a central loop based material handling system.
Virtually no progress of a similar nature for electro-mechanical systems (orthotics, aircraft, vehicles, surgery, manufacturing cells, etc).
This paper considers a group scheduling problem for manufacturing cells, in which parts may visit different cells.
The results of an industrial study show that our method contributes to improving the performance of manufacturing cells.
