Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/20984
Title: Optimization for process planning and scheduling in parts manufacturing
Authors: WANG YIFA
Keywords: Optimization, Process planning, Scheduling, Integrated process planning and scheduling, Rescheduling,PSO
Issue Date: 17-Aug-2010
Source: WANG YIFA (2010-08-17). Optimization for process planning and scheduling in parts manufacturing. ScholarBank@NUS Repository.
Abstract: Process planning and scheduling are two of the most important functions in the discrete parts manufacturing. To increase the automation levels of these two functions, the optimization for these two functions has become substantially necessary and important in order to increase the enterprise¿s productivity and profitability. Since both the process planning and scheduling problems own substantially large solution space, this thesis presents two particle swarm optimization (PSO) based algorithms to solve them by utilizing the exclusive exploration and exploitation search capability. Based on this, an integrated process planning and scheduling problem is addressed. The objective is to find a good trade-off plans/schedule solution with minimum total tardiness for generated schedule, while total machining cost of plans is maintained at a lower level. Two optimization approaches are proposed to handle this integrated problem. In addition, this work also presents a new rescheduling approach to accommodate the disruptions of machine breakdown and new job arrival dynamically occurred in the production. Various numerical experiments and comparative studies are conducted to show the effectiveness and efficiency of the proposed algorithms.
URI: http://scholarbank.nus.edu.sg/handle/10635/20984
Appears in Collections:Ph.D Theses (Open)

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