A. Ahi, M. B. Aryanezhad, B. Ashtiani and A. Makui, “A Novel Approach to Determine Cell Formation, Intercellular Machine Layout and Cell Layout in the CMS Problem Based on TOPSIS Method,” Computers and Operations Research, Vol. 36, 2009, pp. 1478-1496.

has been cited by the following article:

• TITLE: Heuristic Approaches for Cell Formation in Cellular Manufacturing

  AUTHORS: Shahram Saeedi, Maghsud Solimanpur, Iraj Mahdavi, Nikbakhsh Javadian

  KEYWORDS: Cell Formation Problem, Ant Colony Optimization, Genetic Algorithm, Simulated Annealing, Sequence Data, Production Volume

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.3 No.7, July 23, 2010

  ABSTRACT: Cellular Manufacturing System (CMS) is an application of Group Technology (GT) that allows decomposing a manu-facturing system into subsystems. Grouping the machines and parts in a cellular manufacturing system, based on simi-larities is known as cell formation problem (CFP) which is an NP-hard problem. In this paper, a mathematical model is proposed for CFP and is solved using the Ant Colony Optimization (ACO), Genetic Algorithm (GA) and Simulated Annealing (SA) meta-heuristic methods and the results are compared. The computational results show that the GA method is more effective in solving the model.