Research On The Model And Control Technique Of Holonic Manufacturing System

The trends of increased demands for more customized products and decreasing product life cycles in this global manufacturing era point at the need to develop more agile manufacturing systems, that should adapt themselves at an ever-increasing pace to incorporate new technology, new products and new organizational structures. Both manufacturing industry and academia pay much more attention to the optimization, adaptation and reliability of the manufacturing system as a whole. The disturbances from within and outside the manufacturing system constitute a major obstacle to achieve the desired performance optimization, however, the current hierarchical and heterarchical manufacturing control systems are both not sufficient to cope with disturbances while maintaining high system performance.Holonic Manufacturing System (HMS) is a manufacturing system where key elements, such as machines, cells, parts, products, operators and working teams, etc., are modeled as "Manufacturing Holons", which have both "Autonomous" and "Cooperative" properties. The decentralized system structure and distributed decision-making authority, the cooperative relationship among holons to achieve system reconfiguration and optimization, make HMS a new paradigm with great potential to meet today's agile manufacturing challenges. Critical issues to be investigated include how to define manufacturing holons, the appropriate system architecture and the effective cooperation mechanisms for good system performance.Based on the basic concepts of holonic manufacturing, this dissertation develops firstly a holonic manufacturing system reference architecture called HMS-RA, which consists of four types of holons: The Order Holon, Product Holon and Resource Holon which are referred as there Basic Holons and the Assistant Holon. HMS-RA is a generalization of the Hierarchical and Heterarchical control approaches. The independence of System Structure from Control Algorithms, the independence of logistical and technological concerns, and the self-similarity of the architecture, are the three main innovations essential for the evolution and reconfiguration of manufacturing system. The necessity, functional integrality and generality of the there Basic Holons are discussed in detail. The system models for HMS are established by using the "Aggregation" and "Generalization" mechanism in Object-Oriented UML modeling language as the organizing mechanism of the three Basic Holons in HMS, and using the "Collaboration Diagram" and "Sequence Diagram" to describe the typical interaction scenarios within the Basic Holons.To verify the feasibility of the architecture and investigate its applicability, according to the three basic concepts for holonic manufacturing control: "Hierarchy in Distributed Systems", "Distribution of Decision Power" and "Concurrent Scheduling and Schedule Execution", this dissertation presents a holonic manufacturing control architecture and an interaction mechanism that combine the best of hierarchical and heterarchical control. The holonic manufacturing control architecture is expressed with a functional model and a structural model, while the interaction mechanism is described formally with an extended Petri Net approach. To formally describe the distribution of decision power within several manufacturing control approaches, a modeling framework based on the rule of "Fixed Rules and Flexible Strategies" is proposed afterwards.This dissertation puts emphasis on the integration optimization issue of manufacturing scheduling and scheduling execution. It presents two heuristic algorithms for Schedule Execution and one based on Perturbation Analysis to deal with the system disturbances effectively. As the key techniques to implement holonic manufacturing control, the Dynamic Process Planning technique and its integration operation mechanism with manufacturing scheduling, the Bidding Algorithm of the cell agent, the task Assigning Algorithm of the shop floor agent within a hybrid shop floor control system, and the Reconfiguration Algor...