Search

This paper proposes a facility layout generation model based on hierarchical clustering for problems with multiple objectives. Deploying the proximity score, the proposed model addresses all three stages of a typical block layout generation procedure viz., selection of departments to be placed; 'construction' or placement of each department and evaluation of the alternatives generated. The model is explained using a numerical example each for single and multiple objective type layout problems. Finally, in order to demonstrate the effectiveness of the heuristic, a set of problems solved by various researchers is put together and solved and the results compared with their best solutions.

This paper reports the development of a facility layout generation model based on fuzzy clustering for problems with multiple objectives. The proposed model identifies the pair of departments that have large material ‘flow’ as well as are required to be ‘close’. Then it proceeds to form a cluster between them in an agglomerative manner beginning from the pair that have the largest flow and the greatest requirement for closeness, and goes on to include all departments iteratively. The proposed model is explained using a numerical example each for single and multiple objective type layout problems. Finally, the model is authenticated over problems from literature and is found to be efficient.