An optimal solution method for large-scale multiple traveling salesmen problems
Operations Research
Cell formation in group technology: review, evaluation and directions for future research
Computers and Industrial Engineering - Cellular manufacturing systems: design, analysis and implementation
A fast neural-network algorithm for VLSI cell placement
Neural Networks
Systems Approach to Computer-Integrated Design and Manufacturing
Systems Approach to Computer-Integrated Design and Manufacturing
An evolutionary algorithm for manufacturing cell formation
Computers and Industrial Engineering
A new branch-&-bound-enhanced genetic algorithm for the manufacturing cell formation problem
Computers and Operations Research
Engineering Applications of Artificial Intelligence
A hybrid grouping genetic algorithm for the cell formation problem
Computers and Operations Research
A simulated annealing algorithm for manufacturing cell formation problems
Expert Systems with Applications: An International Journal
CLASS: An algorithm for cellular manufacturing system and layout design using sequence data
Robotics and Computer-Integrated Manufacturing
Computers and Operations Research
Genetic algorithm approach for solving a cell formation problem in cellular manufacturing
Expert Systems with Applications: An International Journal
A mathematical approach for the formation of manufacturing cells
Computers and Industrial Engineering - Special issue: Selected papers from the 31st international conference on computers & industrial engineering
Mathematical and Computer Modelling: An International Journal
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The design of cellular manufacturing systems involves many structural and operational issues. One of the important design steps is the formation of part families and machine cells (cell formation). Despite a large number of papers on cell formation published worldwide, only a handful incorporates operation sequence in layout design (intra-cell move calculations). We propose a solution to solve the part-family and machine-cell formation problem considering the within-cell layout problem, simultaneously. In this paper, the cellular manufacturing system is formulated as a multiple departures single destination multiple travelling salesman problem (MDmTSP) and a solution methodology based on simulated annealing is proposed to solve the formulated model. Numerical examples show that the proposed method is efficient and effective in finding optimal solutions. The results also indicate that the proposed approach performs well compared to some well-known cell formation methods.