Study On Textile Process Planning System Using Artificial Intelligence In Agile Manufacturing

Agile Manufacturing is a notion proposed as The 21st Century Strategy for Manufacturing Enterprises, a pivot of which is the agility of corporations, i.e. the ability to adapt to and exploit the market actively. In the mode of Agile Manufacturing, Process Planning in textile companies turns to be the core node of the producing chain and plays the leading role of Agile Fabric Processing.Manners of plants to produce and manage differ in different types of them, thus causes different characters and emphases in the stage of informationization. Aiming at wool spinning mills, this paper discusses solutions to informationize them from the point of view of engineering application, investigates the application of Artificial Intelligence in Process Planning for wool spinning, and presents some basic principles, related theories and technologies adopted in subsystems with corresponding functional modules.In Chapter 1, modern manufacturing modes are summarized, then the concept of Agile Manufacturing is introduced, new requirements of textile industry in this mode are analyzed, accordingly the thesis is presented that Agile Design is indispensable in Agile Manufacturing. Finally the background and significance of this research work are mentioned.In Chapter 2, procedures and process planning of wool spinning, in the domain of which this system is studied, is introduced and analyzed. With the relating operation rules reduced, corresponding business models were analyzed, and the system framework design is presented together with the run-platform and topological structure of this system. Then functional design of it is described completely.In Chapter 3, several innovative points are expounded to settle how to realize Intelligent Design on the Information System for Process Planning with various theories on Artificial Intelligence. Plan of the process parameters reasoning module and its realization are described at first. There are some key technologies related to this module, such as integrating data from different information points, modeling ArtificialNeural Network for fabric process design, setting frames and parameters flexibly for each reasoning model based on knowledge expression with XML, and programming methods on combining Matlab with .Net. Then another module of the system to realize process searching based on CBR (Case Based Reasoning), a principle of Artificial Intelligence, is exhibited. Problems to be solved here are extracting properties of cases for process models, arithmetic to search cases, and setting weight of case properties. In the end, techniques based on empirical formulae and rules known in Fabric Process Design are analyzed to perform automatic calculating.Chapter 4 outlines basic design for this system, and elaborates on solutions to 2 relating subsystems, process planning and products testing, and steps to design them in details. Some crucial methods and theories used in this course, including technologies such as Object Oriented Modeling, Web Server Controls, and JavaScript at front ends are referred too.According to key operating flows in process planning, a specific design case with the system developed is illustrated to show main functions of the system in Chapter 5.At the conclusion of this thesis, Chapter 6 gives a summarization to emphasize on the role and significance of the Intelligent Fabric Process Design System, and a view of it in the future.