Self-adaptive Modeling And Collaborative Optimization Of The Large Hybrid Workshop Layout

As industry upgrades,integrations and clusters continue to advance,manufacturing systems are becoming increasingly complex.Efficient enterprise logistics systems have become one of the key elements of modern manufacturing.The company hopes to solve the problems of unreasonable layout of the original workshop,logistics detour,in-process products,serious waste and disordered scheduling through the optimization of the new factory layout and the adjustment of the old factory layout.This paper studies the new hybrid workshop layout problem for a mixed manufacturing model in which a variety of operating units coexist,such as discrete operations,flow-through operations and special operations.How to effectively carry out a typical large hybrid workshop layout design and optimization has become a scientific problem that the domestic manufacturing industry urgently needs to solve.The essence of the layout problem is a multi-objective optimization problem.The existing workshop layout especially for large hybrid workshop layout problems needs to be improved in modeling,solving and low-entropy collaborative optimization of layout scheduling.This paper aims to achieve self-adaptively accurate modeling and low-entropy collaborative optimization that reflects the actual production of large hybrid workshop layouts,providing effective analysis techniques and tools for a multi-objective design and continuous improvement of complex workshop layouts.The main research contents of this paper are shown as follows:(1)The mathematical model of large hybrid workshop layout was established.Based on the analysis of the prototype characteristics of large hybrid workshop,the multi-objective optimization model of large hybrid workshop layout was established by clarifying the constraint conditions of large hybrid workshop layout and considering external environmental disturbance factors,for the purpose of seeking the best duty cycle,minimum WIP(work in process),minimum logistics loss and reconstruction cost,maximizing non-logistics relationship,good flexibility and expandability,etc.Combining the arbitrary multi-dimensional nonlinear mapping mechanism of cerebellar model articulation controller(CMAC)was proposed to solve the adaptive problem of partial dimension inconsistent sub-objectives in large hybrid workshop layout model.Considering the complexity,dynamics and uncertainty of the workshop layout problem,a dynamic variable describing the disturbance factors of the external environment is introduced.Adaptive modeling for dynamic layout of large hybrid workshop is realized.(2)A two-stage dynamic differential evolution strategy agent cellular automata algorithm(DDEACA)based on differential evolution(DE)and cellular population topology was proposed.By adjusting the individual neighboring structure,the effect of evolutionary population from the structured population to the unstructured population was achieved,and the algorithm can better balance the global search and local optimization.At the same time,the adjustment and complete feedback of the left individuals of the external population improves the convergence speed of the algorithm.The algorithm introduced the agent mechanism into the cellular population,adopted the two-stage external population diversity maintenance method,and introduced a disturbance variable in the mutation operation to avoid the algorithm falling into local optimum.Tests on the DTLZ and WFG series of benchmark functions showed that the new algorithm can achieve better Pareto front and competitive convergence results than the other four typical algorithms.(3)The constructed large hybrid workshop layout model and DDEACA multi-objective optimization algorithm were applied into the real workshop layout.The multi-objective optimization of large hybrid workshop layout was realized.Effectiveness of model and algorithm were futher verified by calculation exanples and analysis results.(4)Based on the analysis of key parameters and layout vulnerability of workshop scheduling,the idea of homomorphic transformation was introduced into the low-entropy collaborative optimization problem of workshop layout scheduling,and a case study was analyzed,which realized the efficient and orderly operation of the manufacturing system.