@article{5eb899653bae4c4281547cb96099499f,
title = "A Hamiltonian path approach to reordering the part-machine matrix for cellular manufacturing",
abstract = "The formation of machine and part groups is a central issue in the design of cellular manufacturing systems. The part-machine incidence matrix has formed the basis of several techniques for cell formation. In this paper, we propose formulating machine and part ordering as a Hamiltonian Path Problem. Similarity coefficients are used to form a distance measure for machines and parts. The resulting solutions are shown to be better than those obtained from binary clustering on a set of test problems.",
author = "Askin, \{Ronald G.\} and Goldberg, \{Jeffrey B.\} and Cresswell, \{Steven H.\} and Vakharia, \{Asoo J.\}",
note = "Funding Information: Received October 1990. t Systems and Industrial Engineering Department, The University of Arizona, Tucson, AZ 85721, USA. * Andersen Consulting, Atlanta, GA 30318. t Decision Sciences Group/Department of MIS, The University of Arizona, Tucson, AZ 85721, USA. §Based upon work supported by the National Science Foundation under Grant No. DMC 85-44993. II Based upon work supported by the National Science Foundation under Grant No. DMC 88-10296. '\textbackslash{}I Based upon work supported by a Summer Research Grant awarded by the College of Business and Public Administration at the University of Arizona.",
year = "1991",
month = jun,
doi = "10.1080/00207549108930121",
language = "English (US)",
volume = "29",
pages = "1081--1100",
journal = "International Journal of Production Research",
issn = "0020-7543",
publisher = "Taylor and Francis Ltd.",
number = "6",
}