Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24418
Title: An intelligent hierarchical workstation control model for FMS
Authors: Keung, KW
Ip, WH 
Yuen, D
Keywords: Flexible manufacturing system
Genetic algorithms
Intelligent hierarchical planning and scheduling
Issue Date: 2003
Publisher: Elsevier
Source: Journal of materials processing technology, 2003, v. 139, no. 1-3 spec, p. 134-139 How to cite?
Journal: Journal of materials processing technology 
Abstract: Hierarchical planning, scheduling and control in flexible manufacturing systems (FMS) provide a systematic way to effectively allocate resources along different time horizons. This paper describes the design and development of an intelligent hierarchical control model based on a proposed tool management method. The control model consists of four levels: the process plan selection, the master scheduling, the job sequencing and the control level. The model is developed to optimize the machine utilization and balance tool magazine capacity of a flexible machining workstation (FMW) in a tool-sharing environment. Problems are identified and modeled in the level of process plan selection, master scheduling, and job sequencing. A genetic-based algorithm was developed to solve the problem domains throughout the hierarchical planning and scheduling model. Fuzzy logic technique could also be incorporated into the master production schedule (MPS) level to allow for a more realistic result in the presence of uncertainty and impreciseness in order to fit the realistic nature of actual industrial environments.
URI: http://hdl.handle.net/10397/24418
ISSN: 0924-0136
EISSN: 1873-4774
DOI: 10.1016/S0924-0136(03)00194-8
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