| Compared with the traditional manufacturing system,there are a lot of uncertainties in the remanufacturing system.Due to the influence of various uncertain factors,the bottleneck drifts frequently in the workshop.Therefore,the production plan and control process originally formulated with "static bottlenecks" as the core seriously deviate from reality.In order to build a production process control model centered on the "dynamic bottleneck",the bottleneck drift trend must be accurately predicted.This article aims to study the prediction of multi-dimensional bottleneck shifting in uncertain environments.The main work includes:1.Analysis of time bottleneck shifting in remanufacturing system based on complex network theory and coupled map lattice algorithm.In view of the bottleneck drift phenomenon in the production process of the remanufacturing workshop.Firstly,based on the multi-level production data of the remanufacturing system,a complex network model connection diagram of the job shop is established.Secondly,the dynamic equations of uncertain factors in the job shop are established to obtain the basis for determining the uncertain factors.The time bottleneck of the system is defined,each workstation’s own dynamic impact and the propagation characteristics of uncertain factors in the workshop are considered,and an improved coupled map lattice algorithm is proposed to predict the bottleneck state.Finally,the Arena software simulation examples and actual production data of an engine remanufacturing company were used to verify the effectiveness and accuracy of the method.2.Analysis of energy consumption bottleneck shifting of remanufacturing system under uncertain environment.Aim at the problem of bottleneck shifting caused by the remanufacturing system in the uncertain environment,which makes it difficult to identify the bottleneck process.On the basis of explaining the uncertainty of waste product recycling,considering the dynamic changes in processing time and processing power of each process,the value-added energy consumption is proposed as an energy consumption bottleneck index.The Arena software is used to simulate the processing route of the remanufacturing workshop,real-time monitoring of the system bottleneck index,analysis of the system bottleneck index and its volatility,visualization of bottleneck drift and reveal the law of consumption bottleneck drift.Taking the engine connecting rod remanufacturing system as an example,a case study of bottleneck drift is conducted.3.Analysis of drift in time-energy consumption bottleneck of remanufacturing system under uncertain environment.To study the influence of uncertain factors in the remanufacturing system on the bottleneck drift,firstly,the comprehensive bottleneck process is defined,and the comprehensive bottleneck index value of each process in different time periods is calculated by the weight method to determine the system’s comprehensive bottleneck process.In order to deeply study the inherent characteristics of bottleneck drift,a bottleneck prediction mechanism and a bottleneck drift prediction mechanism is established based on a comprehensive bottleneck index,and use orthogonal test methods to analyze the sensitivity of changes in uncertain factors to the system’s comprehensive bottleneck.Finally,a case of an engine remanufacturing company verifies the feasibility and effectiveness of the method.The research in this paper takes the engine parts remanufacturing system as the research object,enriches the analysis methods and theories of bottleneck drift prediction research,and provides a basis for the design,operation and optimization of remanufacturing systems or other similar discrete manufacturing systems. |