Intelligent Decisionmaking And Scheduling Of Production Processes

In practice production management and scheduling are the core of computer integrated process systems, a reasonable scheduling solution can bring to a lot of profits. In theory scheduling is a multi-objective and multi-constraint issue. Therefore the study of production scheduling is of theoretical significance and practical value.Complexity of scheduling, diversity of domain knowledge, and dynamic of production environment are the barriers of the implementation of scheduling by only human or only computers, so it is necessary to study production scheduling via the combination of human, artificial intelligent technology, mathematical programming methods and computers. The focuses of our work are how to represent the role of decisionmakers in scheduling issues and how to implement a scheduling solution by multi-knowledge representation. The main contributions of this paper are as follows:Hierarchy of production processes is investigated starting with analysis of complex systems. First hierarchical principles are summed up, and then a hierarchical production process is presented. This kind of hierarchical production process demonstrates not only a clear structure and definite functions, but also a distinct message flow, which facilitates the analysis and design of production management systems.The models of long range planning and short-term planning are considered with the aim of providing a guide to the behavior of production scheduling. Their explicit structures and easy extension shorten the way to real world. We propose a kind of dynamical Gantt chart for dynamical decisionmaking of complete time of products in short-term planing which has a simple form and can be used to assist decisionmakers to make a new decision.The models of production scheduling based on state-task network have advantages of clear structure, easy extension and so on. However they can not get rid of the trouble of dimensional explosion or nonlinearity. After investigating...