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|Title:||OPERATION SEQUENCING OF MACHINED PARTS USING ANT COLONY ALGORITHM|
|Authors:||Gupta, Vivek Kumar|
|Keywords:||MECHANICAL INDUSTRIAL ENGINEERING|
ANT COLONY ALGORITHM
|Abstract:||A computer-aided process planning system should ideally generate and optimize' process plans to ensure the application of good manufacturing practices and maintain the consistency of the desired functional specifications of a part during its production processes. Crucial processes,. such as selecting machining resources, determining set-up plans and sequencing operations of a part should be considered simultaneously to achieve global optimal solutions. In this work, these processes are integrated and modeled as a constraint-based optimization problem, which is similar to the traveling salesman problem (TSP), and an ant colony-based approach is proposed to solve it effectively. The aggregate sum of machine change over cost, set-up configuration change over cost and tool change over cost is incorporated into the 'distance' between operations. Precedence constraints from the geometric and manufacturing interactions between features and their related operations in a part are treated as constraints. The evaluation criterion of machining cost comes from the combined strengths of machine costs, cutting tool costs, machine change over cost, set-up change over cost and tool change over cost. Case studies from the literature are taken to illustrate the proposed algorithm and the results have been compared with the published results. Reported results indicate that ant colony technique is more effective than the other techniques on quality and computational time basi|
|Appears in Collections:||MASTERS' DISSERTATIONS (MIED)|
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