MATLAB Based Manhattan Distance Matrix Method to Solve Cell Formation Problems
K. V. Durga Rajesh1, A. Shanmukh Krishna2, V. Samba Siva Rao3, U.V.S. Phanindra4, B. Kamal5
1K. V. Durga Rajesh, Assistant Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, (A.P.), India.
2A. Shanmukh Krishna, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, (A.P.), India.
3V. Samba Siva Rao, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, (A.P.), India.
4U.V.S. Phanindra, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, (A.P.), India.
5B. Kamal, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, (A.P.), India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 3102-3105 | Volume-8 Issue-8, June 2019 | Retrieval Number: H7255068819/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Cell Formation Technique in Cellular Manufacturing System (CMS) is mainly focused in this paper, which is a Group Technology (GT) based application. The vital step in CMS design is the Cell Formation (CF). The main task of Formation of Cells is to combine parts and machines. A new heuristic approach was proposed in this paper to achieve CF based on the Manhattan Distance Matrix (MDM) Method. MATLAB CODE is developed for the method proposed above. As a measure of performance Grouping Efficacy (GE) is considered. Computational works were conducted with case study problem set taken from standard article. Results after computation determine that the GE performance of our heuristic approach is finer or equal to the other well-known active algorithms ROC & ROC-2.
Keyword: Cellular Manufacturing System, Cell Formation, Group Technology, Grouping Efficacy, Manhattan Distance Matrix.
Scope of the Article: Manufacturing Processes.