Low-entropy collaborative optimization method for workshop layout scheduling

Abstract

The invention discloses a low-entropy collaborative optimization method for workshop layout scheduling. The low-entropy collaborative optimization method comprises the following steps: step 1, analyzing low entropy of workshop layout scheduling; step 2, performing association optimization and designing workshop layout scheduling; step 3, constructing a low-entropy collaborative optimization modelof the workshop layout scheduling, including: determining low-entropy collaborative optimization multi-objective indexes of the workshop layout scheduling, and constructing a low-entropy collaborativeoptimization mathematical model of the workshop layout scheduling; and step 4, solving workshop layout scheduling low-entropy collaborative optimization based on homomorphic transformation and a DDEACA algorithm, including: performing homomorphic transformation solving, and proposing a two-stage dynamic differential intelligent cell machine multi-objective optimization algorithm DDEACA. Low entropy is introduced into a workshop layout scheduling collaborative optimization problem, and a current low entropy manufacturing mode is met. A workshop layout scheduling problem is solved by using a homomorphic transformation method and a DDEACA algorithm. A collaborative optimization result of workshop layout scheduling is provided, and an effective method is provided for effectively solving the problem of workshop layout scheduling.

Description

technical field [0001] The invention relates to an integrated optimization method for workshop layout scheduling. Background technique [0002] Efficient logistics system and production operation plan are the key for modern manufacturing enterprises to gain a foothold in the market. The core of enterprise logistics is workshop logistics. Workshop logistics mainly involves two aspects: layout and scheduling, and the two are coupled with each other. The essence of workshop layout scheduling problem is a multi-objective optimization problem. [0003] At present, the research on workshop layout and scheduling is basically in a relatively independent research state and has not been effectively integrated; usually, the workshop layout optimization design is completed first, and then the workshop scheduling optimization process is carried out. The layout optimization before the scheduling is completed is based on the pre-determined process processing equipment. It is assumed that ...

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Problems solved by technology

[0003] At present, the research on workshop layout and scheduling is basically in a relatively independent research state and has not been effectively integrated; usually, the workshop layout optimization design is completed first, and then the workshop scheduling optimization process is carried out. The layout optimization before the scheduling is completed is based on the pre-determined process processing equipment. Assumption; and different workshop layouts will also affect the scheduling results; the modeling and solution of low-entropy collaborative optimization of workshop layout scheduling need to be further improved

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