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Most of the engineering products are made with multiple components. The products with multiple subassemblies offer greater flexibility for parallel assembly operation and also disassembly operation during its end of life. Assembly cost and time can be minimized by reducing the number of assembly levels. In this paper, Elephant search algorithm is used to perform Optimal Assembly Sequence Planning (OASP) in order to minimize the number of assembly levels. Subassembly identification technique is used as an integral part of algorithm to identify the parallel assembly possibilities. The proposed method is implemented on industrial products and a detailed comparative assessment has been made with suitable product illustrations to corroborate the efficiency.

Abstract. This paper presents a new unified algorithm for cluster assignment and region scheduling, and its integration into an experimental retargetable code generation framework. The components of the framework are an instruction selector generator based on a recent technique, the IMPACT front end, a machine description module which uses a modification of the HMDES machine description language to include cluster information, a combined cluster allocator and an acyclic region scheduler, and a register allocator. Experiments have been carried out on the targeting of the tool to the Texas Instruments TMS320c62x architecture. We report preliminary results on a set of TI benchmarks.

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