Assembly sequence planning method and assembly sequence planning system

Abstract

The invention provides an assembly sequence planning method and an assembly sequence planning system. The method includes the following steps: A. determining assembly sequence qualitative constraint and assembly sequence quantitative constraint; B. selecting a basic part, and determining parts meeting an assembly precedence relation with the basic part according to the assembly sequence qualitative constraint; C. obtaining assembly priorities of the parts meeting the assembly precedence relation according to the assembly sequence quantitative constraint, assembling the part with the highest assembly priority onto the basic part, taking the assembled parts as a new basic part, and updating the assembly sequence qualitative constraint; D. circularly executing the steps B and C until all the parts are assembled; E. outputting an assembly sequence. By utilizing the assembly sequence planning method and the assembly sequence planning system provided by the invention, local heuristic method information can be utilized to generate a local optimal assembly sequence segment and an optimal assembly sequence , so that the difficulty of assembly sequence planning is decreased.

Description

technical field [0001] The invention relates to the field of product manufacturing process, in particular to the assembly planning technology in the product manufacturing process. Background technique [0002] Modern manufacturing is developing towards integration and scale, and products are becoming more and more complex. The development of modern complex products not only needs the support of advanced design technology, but also needs the manufacturing technology that matches the design technology. Assembly is an important link in the product development process. Under the guidance of assembly technology and methods, discrete parts are assembled into mechanical devices or machines that realize product functions. Unlike machining processes such as automated cutting, assembly processes are often less automated, time-consuming, and costly. For ordinary mechanical products, the assembly time accounts for 20%-50% of the entire product production time, and more than 40% of the...

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Problems solved by technology

[0005] Regardless of whether the directed assembly graph model or the undirected assembly graph model is used, there is a significant disadvantage: the optimal assembly sequence must be evaluated after the assembly sequence is generated.

There are two reasons for this dilemma in assembly sequence planning: the first is that the assembly sequence planning problem itself is difficult; the second reason is the lack of local heuristic information in the assembly sequence planning process

In the process of assembly sequence construction, local heuristic information can guide the generation of optimal assembly sequence fragments and optimal assembly sequences, but the assembly sequence planning methods in the prior art do not take advantage of this favorable factor, which increases the difficulty of sequence planning. Big

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