Multipurpose optimization method for distribution of facilities in plant

Abstract

The invention provides a multipurpose optimization method for distribution of facilities in a plant, which comprises the steps of: 1. dividing distribution areas of facilities in the plant into operation units and obtaining related original parameters; 2. obtaining logistic relation parameters and non-logistic relation parameters of the operation units according to the original parameters obtained from the step 1; 3. building a multipurpose facility distribution optimization model; and 4. solving the multipurpose optimization model by using an NSGA (non-dominated sorting genetic algorithm) II, thus obtaining a Pareto solution set as a facility distribution optimization scheme set. With the method, the technical problem that multipurpose optimization distribution is carried out on the facilities in a building of the plant is solved, and the use of the method has the advantages of high distribution efficiency, high operation vision degree, good optimization effect, low use cost and strong university.

Description

technical field [0001] The invention relates to facility layout technology in a factory building, and more specifically, to a method for multi-objective optimization of facility layout. Background technique [0002] In the architectural design of the factory building of a manufacturing enterprise, the layout of various facilities in the factory building must be involved, that is, the positional relationship of various facilities in the factory building must be determined. The quality of facility layout will directly or indirectly affect multiple indicators such as material handling costs or handling volume, production operation efficiency, and flexibility of facility layout in the later stage of production and operation. Therefore, optimization of facility layout is a complex multi-factor in plant building design target optimization problem. It is precisely because of this high complexity that the layout of facilities has long been an important technical problem in the desi...

AI Technical Summary

Problems solved by technology

The SLP method has the following major deficiencies: (1) There is a fuzzy transformation in the process of grading logistics relations and non-logistics relations, which affects the accuracy of the layout plan; (2) In the process of determining the comprehensive relationship, the weight of logistics and non-logistics relations affects the comprehensive Interrelationships, so that the layout scheme is greatly affected by subjective factors; (3) In the process of evolving the layout scheme from the comprehensive interrelationship, the layout is greatly influenced by the designer, and different designers may come up with different layout schemes; (4) the layout The workload of the scheme evolution process is relatively large, and usually only a few layout schemes can be selected, which makes the quality of the layout scheme poor; (5) The complexity of the SLP method hinders the effective popularization of the method to a certain extent

However, so far, no precedents have been found for applying Excel to multi-objective optimization of facility layout

If Excel can be used for secondary development to form a multi-objective optimization method and system for facility layout, it can not only overcome the low layout efficiency, high complexity, and poor quality of layout schemes in the existing facility layout planning technology in the factory building, etc. Disadvantages, and since Excel is basically a popular software with low cost of use, this method will be easier to popularize

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