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Mixing intelligent optimizing method for semiconductor production line production plan

A technology for production planning and intelligent optimization, applied in computing, instruments, data processing applications, etc., to achieve the effect of improving search speed and strong global search capabilities

Inactive Publication Date: 2010-09-15
TONGJI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, constraints such as the earliest start time of the product and the delivery date of the order cannot be handled

Method used

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  • Mixing intelligent optimizing method for semiconductor production line production plan
  • Mixing intelligent optimizing method for semiconductor production line production plan
  • Mixing intelligent optimizing method for semiconductor production line production plan

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specific Embodiment

[0078] According to the idea of ​​hierarchical optimization, it is divided into two parts. One is to establish a background database to store customer orders and related production information, and then realize the mathematical model of the material feeding plan under the fuzzy production capacity environment, and use the hybrid intelligent algorithm to solve the model to obtain the monthly material feeding plan. Then construct a heuristic strategy based on the urgency of product delivery and the length of the processing cycle to further refine the optimized monthly feeding plan into a daily feeding plan. The implementation details are introduced in detail below.

[0079] The realization of the mathematical model of material feeding plan under the environment of fuzzy production capacity. First, build a background database in Access to store customer order information and related production information (such as product information, processing center information, process inform...

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Abstract

The invention provides a mixing intelligent optimizing method for a semiconductor production line production plan. The method comprises two-stage optimization: firstly, adopting a fuzzy modeling and intelligent optimizing strategy; describing the uncertainty of a usable energy producing resource, caused by the uncertainty of equipment faults and fault restoring time, by using a fuzzy number, establishing a production plan model which aims to maintain the product level to be balanced and uses the fuzzy capability resource limitation as the constrain condition by utilizing a credibility plan; solving the plan model by adopting a mixing intelligent algorithm combined with the fuzzy simulation, a neural network and the artificial immune algorithm to obtain a feasible and optimum month batch plan; finally, constructing a heuristic strategy based on the delivery emergency and production period condition of the product, and further detailing the previous month batch plan into day batch plans.

Description

technical field [0001] The intelligent optimization method can be used to solve a series of production planning problems in the field of intelligent production systems, and can support the construction of fuzzy production planning optimization models and the search for optimal production plans. This patent proposes a brand-new method for constructing a production plan optimization model of a semiconductor production line, and a hybrid intelligent optimization algorithm for solving the optimization model. Specifically, the intelligent optimization method proposed in this patent first sets the constraints of not breaking through the capacity resource limit, with the goal of keeping the number of work in progress stable and reducing the order delay rate, and constructs a fuzzy production plan that is completely different from the traditional deterministic optimization model Model. Then, a hybrid intelligent algorithm combining fuzzy simulation, neural network and artificial immu...

Claims

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Application Information

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IPC IPC(8): G06Q10/00G06Q10/04
Inventor 乔非李莉李兆佳
Owner TONGJI UNIV
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