GA MODEL OF ON-LINE OPTIMIZATIONS OF PRODUCTION COSTS OF CONTINUOUS PROCESSES

摘要

In modern industry, which consists of many different more or less computer-aided processes, there is almost lack of integration between different subsystems. Manufacturers continue to refine how they plan the production to meet the demands and manage fast growing dynamics. In this regard, we have seen the evolution to MRP, MRP II and ERP. However, even those with extremely sophisticated planning systems often have major difficulties in executing in the plant in a way that meets market demands cost-effectively. Planning system in major commercial ERP solutions such as SAP, Baan, Oracle, PeopleSoft consists of many small special parts of software for planning of different resources: material requirement, capacity usage, human resources, cash flow and time management. In the capital-intensive process industries, linear programming and other optimizations methods are more typical approaches to planning. Optimizations methods such as genetic algorithms, genetic programming or evolution programming bring a great opportunity to solve complex optimizations problems in such environment. In modern production plants where complexity is soaring, very highly trained personnel are needed. The new methods enforce new kind of skills and special knowledge. Through optimizations and decision support, it leverages investment in plant equipment and information systems.