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An Integrated Optimization Method for Production Planning and Scheduling

A technology of production planning and production scheduling, applied in the direction of calculation, data processing application, forecasting, etc., can solve difficult problems, achieve low production cost and speed up the solution speed

Active Publication Date: 2022-03-01
HANGZHOU DIANZI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, optimization problems requiring a complex mathematical form are quite difficult

Method used

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  • An Integrated Optimization Method for Production Planning and Scheduling

Examples

Experimental program
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Embodiment Construction

[0057] A multi-product batch chemical production plant can produce two products (P 1 ,P 2 ). The state task network diagram of its technological process is as follows figure 1. The reaction process of Reaction 1, Reaction 2 and Reaction 3 can all be carried out in Reactor 1 and Reactor 2. The production planning cycle considered in the example is 40 hours, and the production planning cycle is divided into 5 production scheduling cycles.

[0058] The data of production scheduling process is shown in Table 1 and 2, the data of cost part is shown in Table 3, and the data of production planning cost part is shown in Table 4.

[0059] Table 1 Production Equipment Process Data

[0060]

[0061] Table 2 Material status data (--- means unlimited)

[0062]

[0063] Table 3 Production Scheduling Cost Data

[0064]

[0065] Table 4 Production planning cost data

[0066]

[0067] The market demand is shown in Table 5.

[0068] Table 5 Market demand for different sched...

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Abstract

The invention relates to an integrated optimization method for production planning and scheduling. At present, the solution to production planning and scheduling problems is mainly the traditional optimization method. The optimization result is difficult to be the optimal solution, and it is likely that it cannot be realized in the process, resulting in the failure of the expected production target and the failure of resource allocation. . The steps of the invention are: obtaining the specific data of the production planning layer and the dispatching layer; respectively establishing the planning layer expense model and the dispatching layer expense model according to the specific data; using the improved collaborative optimization method to optimize the planning and dispatching expense models, and finally obtaining the lowest cost production plan. The present invention aims at some difficult problems in production planning and scheduling optimization, and proposes an optimization method with strong global optimization ability. The optimization method has openness, robustness, parallelism, global convergence and a mathematical form for problems No special requirements and other characteristics.

Description

technical field [0001] The invention belongs to the field of information and control technology, relates to automation technology, in particular to an integrated optimization method for production planning and scheduling. Background technique [0002] Production planning and scheduling has always been a decision-making problem that the chemical production industry pays special attention to. Production planning and scheduling is the use of modern and advanced methods and technologies, taking into account production constraints such as production process requirements and production resource conditions, optimizing the allocation of various manufacturing resources, formulating a production plan that meets the production requirements of the enterprise, and striving to meet the production requirements within the specified time. quantity to produce the desired product. The production plan is mainly aimed at factors such as market demand and the production capacity of the chemical ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/06312
Inventor 郑松高佳欣葛铭郑小青魏江
Owner HANGZHOU DIANZI UNIV
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