Optimizing MRP planning parameters using lot sizing heuristics in ERP systems

Abstract

In dieser Arbeit wurden mehrere Planungsalgorithmen für die Unterstützung von sogenannten Enterprise Ressource Planning Systemen entwickelt, die in ERP-Systeme integriert wurden. Diese Algorithmen optimieren die Parameter von ERP-Systemen in unterschiedlichen Planungssituationen um die Gesamtkosten zu minimieren

Enterprise Resource Planning (ERP) systems software is designed to form a standard business management program for manufacturing enterprise. The ERP/MRP software has materials order-planning types and parameter setting for specifying planned order quantity. In accordance with the planning types and respective planning parameters (such as order quantity, horizon/cover), the ERP systems calculates and suggests the quantities required and due date of purchase or part manufacturing.<br />However, the ERP/MRP material-planning module does not recognize costs on the material-ordering plan. Therefore, it is appropriate to find optimal material planning type and respective parameters for each material ordering plan in order to cut overall material costs. The ERP systems use the material requirements planning (MRP) logic for material planning. Different MRP heuristics are developed to suggest best ordering plan for the requirements. Developing an integrated MRP heuristics based programmed optimizer is considered in the study in order to generate best ordering plan method using different types of performance features of the heuristics considering cost. The study proceeds with comparison performance of the programmed optimizer with the ERP/MRP systems parameters and suggests optimal sets of parameters for ordering plan.. Hence, the significant work of the study will be to design optimal material ordering plan, which considers cost. The objective is to include parameter setting on material planning in ERP/MRP systems that minimize the cost of raw material in the manufacturing system. Finally, the study proposes the interfacing algorithms needed for the ERP/MRP system