| With the implementation of ‘Germany Industry 4.0' and ‘Made in China 2025',the global market is becoming increasingly competitive.The traditional manufacturing industry is facing great opportunities and challenges,and it urgently requires a profound transformation and upgrade.However,there are three issues restricting this transformation and upgrade in China,namely the increase of labour work costs,the reduction of product added values and the growth of personalized consumption demands.With modern design methods,group technology,information technology,advanced manufacturing technology and so on,mass customization makes full use of existing enterprise resources to provide customized products and services on a large scale according to personalized demands.Moreover,owing to its superior manufacturing techniques and flexible process routes,a discrete intelligent production line can improve the manufacturing processes and quality inspections via data collection,promoting the decision-making efficiency of managers and generating the dynamic and real-time scheduling solutions by production conditions.Therefore,building more efficient,automated,accurate and energy-saving discrete intelligent production lines for mass customization is a breakthrough way of Chinese manufacturing industry.Aimed at the dynamic scheduling of intelligent production lines for mass customization,this study firstly investigates the Io T manufacturing system based on multiple agents and a ubiquitous environment to provide the basis of system theory.Then,the Io T manufacturing-oriented dynamic scheduling algorithms are investigated to provide the basis of algorithm theory.Then,these proposed theories are respectively used to investigate two problems,namely the dynamic schedulings of hybrid flow processing lines and flexible mixed-model assembly lines,which are widely used for mass customization.Finally,taking an intelligent production line for stainless-steel liquid containers as an example,an Io T manufacturing-oriented advanced planning and scheduling(APS)system is developed and implemented with the previous achievements.The main content of this study can be summarized as follows:(1)Research on the Io T manufacturing system based on multiple agents and a ubiquitous environment.According to the characteristics of mass customization and intelligent production lines,from the perspective of manufacturing system engineering,an Io T manufacturing system based on multiple agents and a ubiquitous environment is constructed,including the overall architecture,dynamic scheduling units,multi-agent models and multi-agent collaborations of the Io T manufacturing system.(2)Research on the Io T manufacturing-oriented dynamic scheduling algorithms.By studying the multi-objective normalization,the priority rule,the prescheduling and rescheduling algorithms,a theoretical system for Io T manufacturing-oriented dynamic scheduling algorithms is formed,including the multi-objective normalization via a fuzzy analytic hierarchy process,the priority rule of the weighted sum of properties,the weighted sum of properties-improved genetic algorithm,the priority weights searchsimulated annealing and all of their application steps.(3)Research on the dynamic scheduling problem of hybrid flow processing lines.A hybrid flow processing line is generally used in processing customized parts for mass customization.According to the proposed architecture and algorithms,the mathematical model,disruption events,reaction strategies and multi-agent models of the dynamic scheduling problem of hybrid flow processing lines are formulated.The discrete event simulation technique is employed to conduct an simulation experiment and analyze its performance.(4)Research on the dynamic scheduling problem of flexible mixed-model assembly lines.A flexible mixed-model assembly line is generally used in assembling modular products for mass customization.According to the proposed architecture and algorithms,the mathematical model,disruption events,reaction strategies and multi-agent models of the dynamic scheduling problem of flexible mixed-model assembly lines are formulated.The discrete event simulation technique is employed to conduct an simulation experiment and analyze its performance.At the same time,a three-factor experimental design is conducted to discuss the influence of AGV factors on scheduling solutions.(5)Research on the application of an intelligent production line for stainless-steel liquid containers.Taking an intelligent production line for stainless-steel liquid containers as an example,the flow paths of production planning and scheduling are studied in depth.The proposed theories,algorithms and models are applied to develop and implement the Io T manufacturing-oriented APS,including the intellectualized reconstruction of the production line,the flow paths of production planning and scheduling,the development of a multi-agent system with JADE and the functions of the APS system. |
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