Please use this identifier to cite or link to this item:
|Title:||Optimization of process plans using a constraint-based tabu search approach|
|Citation:||Li, W.D., Ong, S.K., Nee, A.Y.C. (2004-05-15). Optimization of process plans using a constraint-based tabu search approach. International Journal of Production Research 42 (10) : 1955-1985. ScholarBank@NUS Repository. https://doi.org/10.1080/00207540310001652897|
|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 paper, these processes are integrated and modelled as a constraint-based optimization problem, and a tabu search-based approach is proposed to solve it effectively. In the optimization model, costs of the utilized machines and cutting tools, machine changes, tool changes, set-ups and departure from good manufacturing practices (penalty function) are the optimization evaluation criteria. Precedence constraints from the geometric and manufacturing interactions between features and their related operations in a part are denned and classified according to their effects on the plan feasibility and processing quality. A hybrid constraint-handling method is developed and embedded in the optimization algorithm to conduct the search efficiently in a large-size constraint-based space. Case studies, which are used for comparing this approach with the genetic algorithm and simulated annealing approaches, and the proposed constraint-handling method and other constraint methods, are discussed to highlight the performance of this approach in terms of the solution quality and computational efficiency of the algorithm.|
|Source Title:||International Journal of Production Research|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Sep 12, 2018
WEB OF SCIENCETM
checked on Sep 12, 2018
checked on Aug 3, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.