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Multi-material car body assembly sequence planning optimization method

An optimization method and multi-material technology, applied in genetic rules, special data processing applications, instruments, etc., can solve the complexity of assembly operations and the increase in the error rate of assembly, the diversity of assembly parts and the increase in uncertainty of assembly , increasing complexity and difficulty, and the direct correlation of assembly operation time to achieve the effects of shortening the production cycle, reducing assembly costs, and improving the level of automation

Active Publication Date: 2018-06-01
SHANGHAI DIANJI UNIV
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Problems solved by technology

These assembly sequence planning optimization methods, for the assembly process planning of single-material products produced by traditional mass assembly, the assembly sequence planning can be obtained through assembly knowledge reasoning such as experience, component assembly relationship, and assembly instance reasoning. Body, especially the multi-material body assembly manufactured to meet the diverse and individual needs, the diversity of assembly parts and the uncertainty of assembly increase, which increases the complexity of assembly operations and the error-prone rate of assembly, and the increased complexity Therefore, the application of existing assembly sequence planning and optimization techniques to the assembly sequence planning and optimization of multi-material car bodies has obvious limitations

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  • Multi-material car body assembly sequence planning optimization method
  • Multi-material car body assembly sequence planning optimization method

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[0016] In order to make it easy to understand the technical means, creative features, objectives and effects achieved by the present invention, the present invention will be further explained below in conjunction with the drawings and specific embodiments.

[0017] Such as Figure 1 ~ Figure 4 As shown, the multi-material car body assembly sequence planning optimization method proposed by the present invention includes the following steps:

[0018] I. Description and measurement of assembly complexity at station level.

[0019] The workstation is the basic unit that constitutes the complex assembly system of the multi-material car body, and the complexity of the assembly station level is the basic unit of the complexity of the car body assembly system. The assembly operations performed in the workstations include various operation selections and assembly operations execution during the multi-material body assembly process.

[0020] 1) Relevance description of assembly operations betwe...

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Abstract

The invention provides a multi-material car body assembly sequence planning optimization method. Based on a feasible assembly sequence obtained by analyzing car body design assembly information and following multiple constraint relationships among car body assembly parts, and according to description and measurement of station level complexity of multi-material car body assembly nodes, a multi-material lightweight car body assembly sequence planning optimization problem is described by taking conveying complexity as a cost array among the assembly station nodes; a constrained assembly sequenceoptimization problem after removal of invalid information is similar to a constrained non-symmetric traveling salesman problem; an assembly sequence optimization model with a minimum effective conveying complexity sum is built; and the assembly sequence optimization problem is solved by heuristic search elements of a hill climbing genetic algorithm.

Description

Technical field [0001] The invention relates to the field of complex product assembly line process planning, in particular to a method for planning and optimizing the assembly sequence of a multi-material car body. Background technique [0002] For car body assembly sequence planning, manufacturers often plan based on sample assembly tests. This method is not only a huge workload and time-consuming, but also design results vary from person to person, process design quality is unstable, and assembly tasks are divided and assigned. It is difficult to achieve the desired effect. In order to meet the needs of digital management, there are also methods such as cut-set-based assembly sequence planning, priority relationship-based disassembly sequence planning, and virtual assembly-based assembly sequence planning. With the support of assembly knowledge models, related solving algorithms are used to perform Knowledge or case-based reasoning-based assembly sequence planning optimization...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/12
CPCG06N3/126G06F30/15G06F2113/20
Inventor 李艳萍傅晓锦刘俊
Owner SHANGHAI DIANJI UNIV
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