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LIMITATIONS AND PERFORMANCE OF MRPII / ERP SYSTEMS – SIGNIFICANT CONTRIBUTION OF AI TECHNIQUES

An important characteristic of any manufacturing system is its ability to maintain an immutable performance under changing operations conditions, the disturbances and unpredictable events that can influence the performance of system’s objectives. The determination of how much to produce of each component in each time period, in a synchronized way, arises in MRPII/ERP systems . The aim of this research is to contribute to the development of more realistic MRPII/ERP systems. Powerful tools for solving wide spectrum of non clear defined problems in the field of production optimization and scheduling are artificial intelligence techniques like genetic algorithms, simulated annealing, tabu search. In the following paper authors present a review of AI techniques that might be successfully implemented for all sorts of the MRP problems with special impact to lot sizing problems. The potential benefits and limitations of certain techniques are being described as well as our research domain.