Material Demand Forecasting: An ERP System Perspective

Marcin Relich; Krzysztof Witkowski; Sebastian Saniuk; Jana Sujanova

doi:10.4028/www.scientific.net/AMM.527.311

Paper Titles

The Resource Conflict Resolution Problem for Virtual Cellular Manufacturing Inter-Cell Scheduling under the Conditions of Resource Sharing
p.286

Influencing Factors and Evaluation Standards of Vibration on Human Comfort
p.294

A New Wire Icing Automatic Monitoring System Based on Wireless Communication Platform
p.301

Capability Based Weapon System-of-Systems Evaluation Strategies Design Space and Exploratory Analysis
p.306

Material Demand Forecasting: An ERP System Perspective
p.311

Design of a Reconfigurable Extendible Real-Time Multi-Bus Simulation System on the Information Flow in the Control Systems
p.315

Risk Evaluation in Marine Traffic Systems Based on Fuzzy Catastrophe Theory
p.319

Approximate Evaluation of Exact Solutions of Measurements Inverse Problems
p.326

Research on Lower-Order Body Matrix Method and the Configuration Transformation of Planar Metamorphic Mechanism
p.332

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 527Material Demand Forecasting: An ERP System...

Material Demand Forecasting: An ERP System Perspective

Abstract:

This paper investigates various problems associated with the parameter specification for material requirements planning (MRP) in a typical ERP system. The choice of a suitable MRP procedure and its parameters can reduce excessive quantities of materials and, consequently, cost. The proposed approach is dedicated for MRP procedure based on the forecasting of material demand and inventory that can be obtained with the use of techniques for nonlinear function identification, such as fuzzy-neural system and neural networks. An example is presented which compares the different forecasting models for material demand and inventory.

You might also be interested in these eBooks

Mechatronics and Computational Mechanics II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 527)

Pages:

311-314

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.527.311

Citation:

Cite this paper

Online since:

February 2014

Authors:

Marcin Relich*, Krzysztof Witkowski, Sebastian Saniuk, Jana Sujanova

Keywords:

Inventory Management, Logistic, Lot Size, Material Requirements Planning

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] M.M. Yenisey: A flow-network approach for equilibrium of material requirements planning, Int. J. Production Economics Vol. 102 (2006), pp.317-332.

DOI: 10.1016/j.ijpe.2005.04.002

Google Scholar

[2] G. Ioannou and S. Dimitriou: Lead time estimation in MRP/ERP for make-to-order manufacturing systems, Int. J. Production Economics Vol. 139 (2012), pp.551-563.

DOI: 10.1016/j.ijpe.2012.05.029

Google Scholar

[3] H. -G. Lee, H. -B. Na, K. Shin, H. -I. Jeong and J. Park: Performance improvement study for MRP part explosion in ERP environment, Int J Adv Manuf Technol Vol. 35 (2007), pp.309-324.

DOI: 10.1007/s00170-006-0718-9

Google Scholar

[4] M. Relich: Knowledge acquisition for new product development with the use of an ERP database, in: The Federated Conference on Computer Science and Information Systems (2013), pp.1285-1290.

Google Scholar

[5] S.T. Enns: MRP performance effects due to forecast bias and demand uncertainty, European Journal of Operational Research Vol. 138 (2002), pp.87-102.

DOI: 10.1016/s0377-2217(01)00134-5

Google Scholar

[6] M. Relich and M. Jakabova: A decision support tool for project portfolio management with imprecise data, in: Proceedings of the 10th International Conference on Strategic Management and its Support by Information Systems (2013), pp.164-172.

Google Scholar

[7] J. Šujanová, P. Gabriš, M. Ličko, P. Pavlenda and R. Stasiak-Betlejewska: Aspects of knowledge management in Slovak industrial enterprises, in: Proceedings of the 13th European Conference on Knowledge Management (2012), pp.1135-1144.

Google Scholar