Research On Manufacturing Task Management System In Manufacturing Grid Environment

The life-force of enterprise competition is the innovation of products and the quick reaction capability to the market. Manufacturing Grid (MG), as the application of grid technology in manufacturing field, brings a new integration paradigm to solve the problem of optimizing resource sharing and allocation. At present, many advanced manufacturing paradigms such as Networked Manufacturing, Virtual Enterprises and Agile Manufacturing have been researched widely. By contrast, MG is a newer and more advanced paradigm. It is not intended to supersede the others, but a useful supplement and technical innovation. In the system implementation procedure of all these advanced manufacturing paradigms, the task management system is a critical subsystem. In this subsystem, the difficulty of the task's implementation will be reduced by the task modelization;the manufacturing resources will be appropriately allocated by the task decomposition and resource scheduling;and the task's schedule will be controlled by the task status monitoring. On the combined action of them, and united with the characteristic of MG, the aim of manufacturing resource optimizing allocation was reached. The main research works are as follows:1. This paper proposed the conception of MG, and then makes a comparison between MG and the other advanced manufacturing paradigms in resource sharing. After that, the present research status on grid technology, MG and resource scheduling algorithm were discussed. On the basis of these, the content and meaning of this paper were summarized.2. Based on the characteristic of MG and manufacturing task, the requirement analysis of the manufacturing task management system was listed, and the system's contents were studied, including architectural structure, process, functional model, and the interface design of each model.3. To resolve resource scheduling problem efficiently in MG, a multi-objective optimization mathematical model was put forward. Based on the model, both Analytical Hierarchy Process (AHP) and Genetic Algorithm (GA) for resources scheduling were designed separately.4. A manufacturing task management system based on the grid service was developed by using the toolkits of GT3.2. The efficiency and feasibility of the approach discussed in this paper were proved with the performance of the system.