| Autor: |
M. V. A. Raju Bahubalendruni, K. Sankaranarayanasamy, Anil Kumar Gulivindala, S.S. Vara Prasad Varupala, Anil Kumar Inkulu |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Assembly Automation. 41:659-680 |
| ISSN: |
0144-5154 |
| DOI: |
10.1108/aa-05-2021-0057 |
| Popis: |
Purpose The purpose of this paper is to perform a comparative assessment on working of the existed subassembly identification (SI) methods, which are widely practiced during the product development stage and to propose an improved method for solving the SI problem in assembly sequence planning (ASP). Design/methodology/approach The cut-set method is found as a suitable method among various knowledge-based methods such as the theory of loops, theory of connectors and theory of clusters for the workability enhancement to meet the current requirements. Necessary product information is represented in the matrix format by replacing the traditional AND/OR graphs and the advanced predicates are included in the evaluation criteria. Findings The prominent methods in SI are followed a few of the predicates to avoid complexity in solution generation. The predicate consideration is found as the most influencing factor in eliminating the infeasible part combinations at SI. However, the quality of identified subassemblies without advanced predicates is not influencing the solution generation phase but practical applicability is affecting adversely. Originality/value The capability of performing SI by the cut-set method is improved to deal with the complex assembly configurations. The improved method is tested by applying on different assembly configurations and the effectiveness is compared with other existent methods of ASP along with the conventional method. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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