Applied regression analysis and other multivariable methods
Applied regression analysis and other multivariable methods
A genetic algorithm approach to the machine-component grouping problem with multiple objectives
Computers and Industrial Engineering
Cell formation in group technology: review, evaluation and directions for future research
Computers and Industrial Engineering - Cellular manufacturing systems: design, analysis and implementation
Systems Approach to Computer-Integrated Design and Manufacturing
Systems Approach to Computer-Integrated Design and Manufacturing
Computers and Operations Research
Applying K-harmonic means clustering to the part-machine classification problem
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
One of the major steps in designing cellular manufacturing systems is to form cells. This involves identification of machine cells and part families. This paper proposes a new mathematical approach for forming manufacturing cells. The proposed approach involves two phases. In the first phase, machine cells are identified by applying factor analysis to the matrix of similarity coefficients. In the second phase, an integer-programming model is used to assign parts to the identified machine cells. To evaluate its performance, the proposed approach was applied to sample problems from the literature and a real life problem from a manufacturing plant. The results indicate that the proposed approach performs very well in terms of a number of criteria and compares favorably to well-know existing cell formation methods. In addition to its good performance, the proposed approach has the flexibility to allow the cell designer to either identify the required number of cells in advance, or consider it as a dependent variable. Using algorithms which are available in many commercial software packages is the other advantage of the proposed approach.