This article focuses on partitioning a manufacturing system into machine cells. The benefit of such a conversion is improving manufacturing efficiency by eliminating waste in terms of material handling and time as well as increasing production capacity of the manufacturing system. Rank order clustering (ROC) algorithm is used in this study for the conversion. It is easy to understand and its application in obtaining machine cells with a cellular layout is straightforward. ROC algorithm requires a part-machine incidence matrix. The matrix is rearranged until multiple part families and corresponding machine cells are obtained. MS Excel and MATLAB are used in the application. The study converts 44 machine manufacturing system into seven machine cells and brings important performance improvement.
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The authors would like to thank Company X name of which has been kept confidential upon request for providing facilities to carry out the experiments at their work site.
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Appendix A: A partial showing of parts with their codes and numbers
See Fig. 7.
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İç, Y.T., Ağca, B.V. & Yurdakul, M. Partitioning of a manufacturing system into machine cells—a practical application. Evolving Systems 12, 423–438 (2021). https://doi.org/10.1007/s12530-019-09301-9