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A constraint model for assembly planning

delete2020-01-01
delete19
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OA
AI
C
Csaba Kardos *
A
András Kovács
J
József Váncza
DOI:10.1016/j.jmsy.2019.11.007delete
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Abstract

Abstract

En 中文
The importance of computer-aided process planning (CAPP) for assembly is widely recognized, as it holds the promise of efficient and automated construction of solutions for a complex, geometrically, technologically, and economically constrained planning problem. This complexity led to the introduction of decomposition approaches, separating the macro-level planning problem that oversees the complete assembly process from the various micro-level problems that look into the details of individual assembly operations. The paper introduces a constraint model for solving the macro-level assembly planning problem based on a generic feature-based representation of the product and the assembly operations involved. Special attention is given to capturing the feedback from micro-level planners expressed in the form of feasibility cuts, and hence, to the integration of the approach into a complete CAPP workflow. Results on three case studies from different industries are also presented to illustrate the practical applicability of the approach.
Keywords:
Assembly planning
Optimization
assembly features
constraint programming
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Journal

Journal of Manufacturing Systems cover
Journal of Manufacturing Systems
IF:
14.2
Papers:
2.7K
Citations:
1.6W

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H
Hungarian Academy of Sciences
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Citations: 7.5K