Production optimization scheduling method for personalized production mode of daily chemical industry
A technology for optimizing scheduling and production mode, applied in biological models, computational models, artificial life and other directions, can solve problems such as solving difficulties, and achieve the effect of maximizing corporate profits
Pending Publication Date: 2020-10-30
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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Problems solved by technology
Compared with discrete manufacturing processes, the production process of process manufacturing generally has various characteristics such as nonlinearity and randomness, and is highly coupled in mathematics, so it is very difficult to solve
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[0031] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are for the purpose of illustrating the present invention, but are not intended to limit the scope of the present invention.
[0032] This embodiment includes the following steps:
[0033] Step 1: Product Information Modeling
[0034] Assume that the firm can produce a total of N Y products, the sales unit price of product j is There are M kinds of raw materials, and the unit price of M kinds of raw materials is The amount of various raw materials required for the jth product is In order to uniformly express product information, even if a product does not use some raw materials, it needs to be written in the raw material consumption matrix, and the value can be set to zero.
[0035] Step 2: Modeling of order information
[0036] Assuming that the enterprise receives a total o...
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The invention relates to a daily chemical industry personalized production mode-oriented production optimization scheduling method. According to the method, modeling and optimization scheduling are performed under the driving of enterprise orders. The method comprises the following steps: firstly, carrying out product modeling on all products of an enterprise, and splitting a received order; in order to maximize enterprise benefits, an optimal scheduling function containing information such as product sales price, product raw material cost, production line operation time cost, production lineswitching cost and delayed delivery compensation cost is constructed, and constraint conditions such as raw material inventory limit, delivery date limit, order constraint and processing sequence constraint are considered. In the process of using an artificial bee colony algorithm to carry out optimization solution, the invention provides definition and construction methods of codes, fitness functions, initialized feasible solutions and neighborhood operations according to production characteristics of the daily chemical industry. According to the method, the problems of product modeling, order modeling, optimal scheduling modeling and the like of an enterprise by taking the order as a drive are effectively solved, and the selective acceptance result of the order and the order scheduling sequence are obtained, so that the enterprise revenue is maximized.
Description
technical field [0001] The invention relates to daily chemical industry-oriented production, in particular to a production optimization scheduling method oriented to the individualized production mode of the daily chemical industry. Background technique [0002] With the rapid development of manufacturing technology and information technology and the improvement of people's living standards, people's demand for flexible products is getting higher and higher, and the traditional mass production mode can no longer meet the needs of product flexibility and diversity. Smart factories oriented to flexible production can realize "mass customized production", which not only has the characteristics of high efficiency and low cost in mass production, but also meets the flexible needs of consumers. At the same time, it can also guarantee the characteristics of low cost and high efficiency of the enterprise, so that the enterprise can change the operation mode in a timely and flexible ...
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IPC IPC(8): G06Q10/06G06Q50/04G06N3/00
CPCG06Q10/067G06Q10/06315G06Q50/04G06N3/006Y02P90/30
Inventor 邹涛陶晔张鑫李永民王景杨
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI