Papers by Keyword: Manufacturing Grid (MG) Workflow

Abstract: MG workflow can be defined as the composition of manufacturing activities which execute on heterogeneous and distributed manufacturing resources in a well-defined order to accomplish a specific goal. The execute process of MG workflow includes model building, service finding, service selecting, service binding and service invocation. Service selecting is one of the most critical components in MG workflow. So, this research brings forth AHP-based grid nodes choosing method, which takes time, quality, cost, service, fidelity, reliability, policy (TQCSFRP) as rules, and chooses best resource node as target. The dynamic service binding and invocation between an activity request and an optimal service provider is realized when a workflow is in execution. Higher flexibility and self-adaptability of workflow management are achieved. Furthermore, the application architecture is depicted at the end of the paper to illustrate the utilization of MG workflow.

Abstract: The Manufacturing Grid domain is characterized by rapid and substantial change over time. The entire process of product development can be quite complex. The activities are expected to be executed on heterogeneous resources which are geographically distributed. However, traditional modeling systems use static workflow models which can not automatically redesign the business process and mask the isomerism of the resources. In this article, an open and extensible framework of MG workflow is given, which complies with the standard of WFMC and GGF. A formalized definition workflow model is proposed including process model, organization model, resource model, and service mode. The integrated workflow model can be used to dynamically represent a business process and other aspect s of Manufacturing Grid workflow.

Abstract: In manufacturing Grid workflow, multiple tasks share a common and limited resource pool. In order to solve task scheduling in multi-process with resource constraints under MG workflow, the Task-Resource Constrained model is set up to descript the assignment relation between task and resource. The framework of the task scheduling and the scheduling policies are also presented that can readjust the tasks according to the priority rules and the time parameters in the process. Then we present a heuristic scheduling algorithm that includes multiple policies. The heuristic scheduling algorithm will update the critical path of DAG (Direct Acyclic Graph) and the beginning time of post-tasks. MG Workflow engine can dynamically schedule the resources according the task requirement. An example is given to illustrate the method at last.