Multi-brand scheduling and switching mixed optimizing method in polypropylene production process

Abstract

The invention discloses a multi-branch scheduling and switching mixed optimizing method in the polypropylene production process. According to the method, an auxiliary system track optimizing model and a main system scheduling sequence optimizing module for multi-brand switching in the double-ring-pipe technology polypropylene production process are established, a main system model and an auxiliary system model are optimized through a double-layer hierarchical mixed integer iteration dynamic optimizing method, wherein multi-brand switching operation tracks are optimized based on a control vector parameterization method, and a multi-brand switching and scheduling sequence is solved based on a CPLEX mixed integer optimizer. The mixed optimizing method can reduce the optimizing scale, total multi-brand switching time and total consumption of transition material. The optimal scheduling sequence of polypropylene multi-brand production and the optimal track of operation variable and product performance index changes in the switching process of all brands are searched for to instruct production, so that production of a polypropylene enterprise meets market requirements flexibly, and besides it is guaranteed that a polypropylene production device achieves maximum economical benefits with the minimum energy consumption and material consumption.

Description

technical field [0001] The invention relates to the field of multi-brand scheduling switching in polypropylene industrial process, in particular to a mixing optimization method for multi-brand scheduling switching in polypropylene production process. Background technique [0002] There are many grades of polypropylene resin products, and comprehensive time and cost benefits often require multi-brand production. This kind of production is often not in a single order, but in an optimal switching sequence. Scheduling optimization is to allocate resources reasonably at a certain time level to achieve the preset task targets. In the face of the high dynamics of market demand changes, polypropylene manufacturers must respond in a timely and rapid manner, adjust their production plans in a timely manner according to market development trends, and realize flexible production of multiple products and brands in order to obtain the greatest economic profit. advantageous position in th...

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Problems solved by technology

At present, there are some methods for the research or application of polypropylene grade switching scheduling optimization. For example, based on the actual experience of on-site dispatchers and plant operators, accumulated from long-term on-site practice, it is difficult to guarantee the coordination and optimization effect of scheduling sequence and switching trajectory. Device operation stability; there is multi-brand scheduling optimization based on the supply chain model, and a unified discrete time representation is used, but the model scale is huge, it is difficult to ensure convergence during optimization, and the solution efficiency is low

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