A knowledge-based approach to automated machining process selection and sequencing

Wong, T. N.; Siu, S.

doi:10.1080/00207549508904885

Cited by 24 publications

(9 citation statements)

References 7 publications

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“…Recent related work can be categorized as the knowledge-based reasoning approach (Chang 1990, Wong and Siu 1995, Chu and Gadh 1996, Wu and Chang 1998, Tseng and Liu 2001, graph manipulation approach (Chen and LeClair 1994, Irani et al 1995, Lin et al 1998, Petri-nets-based approach (Kruth and Detand 1992), fuzzy logic reasoning approach (Ong and Nee 1994, Zhang and Huang 1994, Gu et al 1997, evolutional algorithm and heuristic reasoning-based approach (Vancza and Markus 1991, Chen and LeClair 1994, Yip-Hoi and Dutta 1996, Chen et al 1998, Reddy et al 1999, Ma et al 2000, Qiao et al 2000, Lee et al 2001, Li et al 2002a, etc. In the reasoning processes, manipulating preliminary precedence constraints between operations effectively using 'if-then' rules, graphs and matrices, is an important issue.…”

Section: Previous Related Workmentioning

confidence: 98%

Optimization of process plans using a constraint-based tabu search approach

Ong

Nee

2004

International Journal of Production Research

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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 defined 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.

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Section: Previous Related Workmentioning

confidence: 98%

Optimization of process plans using a constraint-based tabu search approach

Ong

Nee

2004

International Journal of Production Research

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“…Considering that decision processes for these aspects are sometimes contradicting, and the evaluation criteria with different consideration perspectives can also be conflicting in some cases, some developed reasoning methods such as knowledge-based reasoning [3,22,6], graph manipulation [9,15], Petri-nets-based approach [11] and fuzzy logic reasoning [17,25] cannot effectively solve this problem with a global optimized result. Recently, evolutional and heuristic algorithms have been applied to the process planning research, and multiple objectives, such as the minimum use of expensive machines and tools, minimum number of set-ups and tool changes, and achieving good manufacturing practice, have been incorporated and considered as a unified model to achieve a global optimal target [24,12].…”

Section: Methodology For Process Planning Optimizationmentioning

confidence: 99%

A Web-based service for distributed process planning optimization

2005

Computers in Industry

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“…In Wong and Siu (1995), the grouping of machining features is represented by the relationships between them, enabling the unification of various simple machining features to make up a composite machining feature. In this work, the characteristics of the machining features are defined separately as there is no information that may indicate their grouping.…”

Section: Machining Features In Capp Systemsmentioning

confidence: 99%

“…From a broad perspective, the generality of a CAPP system is based on four basic aspects: its architecture, its methodology, the functions that make it up and the information models used (Wong and Siu 1995, Gonza´lez et al 1998, Kang et al 1998, Gonza´lez and Rosado 2003. The information models -both for the product as well as for the production resources -have been shown to be one of the key aspects in achieving this generality (Zhang et al 1999, Bagshaw and).…”

Section: Introductionmentioning

confidence: 97%

General information model for representing machining features in CAPP systems

González

Rosado

2004

International Journal of Production Research

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Today, the generality of computer-aided process planning (CAPP) systems and their standardization do not achieve satisfactory standards levels for industry. One of the major causes here is the difficulty of integration with computeraided design applications, due mainly to the product model used. It is therefore necessary to identify models that are general with regard to the products, but at the same time suitable for CAPP. A product model suitable for CAPP must represent the product conceptually, enabling the development of process planning functions that operate with manufacturing concepts. It is therefore necessary to develop product information models using this philosophy. The present paper focuses on this problem and proposes an information system for representing the product for internal CAPP use. It is geared towards representing all of the part information (necessary for manufacturing) integrally with the machining features and under the same concept as these features. To this end, one of the main characteristics of the model is the absence of conventional geometric entities. The application domain of the model proposed is the assignment of processes and machines in machined parts. The GF-CAPP system has revealed that the advantages of using this type of product model in CAPP are its generality with regard to the product and the ease of developing functional procedures that are general, simple and independent.

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A knowledge-based approach to automated machining process selection and sequencing

Cited by 24 publications

References 7 publications

Optimization of process plans using a constraint-based tabu search approach

Optimization of process plans using a constraint-based tabu search approach

A Web-based service for distributed process planning optimization

General information model for representing machining features in CAPP systems

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