Extensible Portfolio of Forecasting Methods for ERP Systems: Integration Approach

Abstract

Enterprise resource planning (ERP) systems are large, modular enterprise applications designed for most of the company’s business processes. They include a range of different forecasting methods. The paper analyses the existing forecasting methods in ERP systems and provides a comparison of forecasting methods in ERP systems. It considers the problem of prediction integration in ERP systems and describes the general process by a conceptual model based on academic literature from forecasting with ERP systems. The study provides an integration approach, which is the most suitable one for providing forecasting functions in ERP systems.

Implementation of Demand Forecasting Module of ERP System in Mass Customization Industry—Case Studies

“…Most technologically advanced companies use ERP (Enterprise Resource Planning) and APS (Advances Planning and Scheduling) systems to manage planning and scheduling. The largest IT systems of this type, such as SAP, IFS, SYSPRO, Oracle, Microsoft, Asprova, provide only basic forecasting methods, such as [4][5][6]25 • and, some of them, ARIMA.…”

“…A survey of popular methods can be found among the others in Refs. [4][5][6]. The purpose of this functionality is the reduction of safety stocks and optimization of inventory replenishment [7,8].…”

Forecasting in Enterprise Resource Planning (ERP) Systems: A Survey

“…Enterprise Resource Planning (ERP) is a business management software that is used to facilitate the business process cycle by integrating all business modules and functions like Human Resource (HR), Purchasing, Sales, Inventory Control (IC), Finance, Production, Customer Relationship Management (CRM), Accounting, … etc., into a single system, so your business operates as a seamless one. It covers the business needs and challenges in an effective, efficient, and productive way [1,2]. ERP holds a large amount of data called big data.…”

“…Forecasting can be defined as the process to predict future based on past data. It is used to gain profit for the business process [1]. It can be classified into three main categories as below [2]:…”