This paper emphasizes the prolific effects of Enterprise Resource Planning (ERP) implementation in a large cosmetics company by means of increased technological discipline, and reduced consumption of materials, packaging and energy, while establishing an efficient organization of production, in direct terms of productive staff and capacity utilization. The authors also present in this article their own plans for a promising Enterprise Resource Planning Process Control Systems (ERP-PCS) connection. PCS systems log valuable information on technology and business processes (utilization of raw materials, wrappings, accomplished production, etc.), founded on data monitoring of the production automation equipment: electronic flow meters, electronic scales, sensors and transducers, digital countdown and supplementary specific devices. This connection, together with ERP systems’ dedicated modules, could determine real time data retrieval on materials, packaging, energy consumption and outputs, thus providing valuable information to the company managers for resourceful decision making processes.
Brundle, M., & Naedele, M. (2008). Security for Process Control Systems: An Overview, Security & Privacy. IEEE 2008, 6, Issue 6, pp. 24-29. doi:10.1109/MSP.2008.150
Cárdenas, A., Amin, S., Zong-Syun, L., Yu-Lun, H., Chi-Yen, H., & Sastry, S. (2011). Attacks against process control systems: risk assessment, detection, and response. Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security (ASIACCS '11) (pp. 355-366). New York, NY, USA,: ACM. doi:10.1145/1966913.1966959
Comes, C., Marian, L., Ghisoiu, N., & Bircea, I. (2007). Business process management with unified modeling language. WSEAS Transactions on Computers, 6(2), 361-366.
Da Costa, G., & Pierson, J. (2011). Characterizing Applications from Power Consumption: A Case Study for HPC Benchmarks (Vol. 6868). Springer Verlag. doi:10.1007/978-3-642-23447-7
Da Costa, G., de Assunção, M., Gelas, J., Georgiou, Y., Lefèvre, L., Orgerie, A.-C., . . . Sayah, A. (2010). Multi-facet approach to reduce energy consumption in clouds and grids: the GREEN-NET framework. Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking (e-Energy '10), pp. 95-104. doi:10.1145/1791314.1791329
Da Costa, G., Gelas, J.-P., Georgiou, Y., Lefevre, L., Orgerie, A.-C., Pierson, J.-M., . . . Sharma, K. (2009). The GREEN-NET framework: Energy efficiency in large scale distributed systems. IEEE International Symposium on Parallel & Distributed Processing, IPDPS, pp. 1-8. doi:10.1109/IPDPS.2009.5160975
Glimsdal, A. (2011). Energy Efficiency Project Development, International Conference: Business Planning of Energy Efficiency and Renewable Energy Projects in South-Eastern Europe. Retrieved from United Nations Economic Commission for Europe: http://www.unece.org/fileadmin/DAM/energy/se/pp/eneff/eneff_feei_Skopje_EE_RE_IntTrainBPlan_June2011/29/05_CapitalEEprojects.pdf
Hughes, T. (2006). Measurement and Control Basics, 4th Edition. ISA: The Instrumentation, Systems, and Automation Society.
Jui-Chin, J., Feng-Yuan, H., & Chun-An, C. (2008). Applying SPC/EPC to Establish a MIMO Process Control System. ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM '08. Volume 2, pp. 3-7. Guangzhou: IEEE. doi:10.1109/CCCM.2008.12
Karcanias, N., & Stupples, D. (2010). Integration of Operations in Process Systems: A Systems and Control Perspective. World Automation Congress, (pp. 1-10). Kobe.
Kwon, K., Ryu , J., Sohn, J., & Chung, I. (2009). Intelligent process control system with RFID cuboid. Proceedings of the 11th International Conference on Electronic Commerce (ICEC '09) (pp. 1-8). New York, NY, USA,: ACM. doi:10.1145/1593254.1593256
Nelson, G. (2013). Green Processing: The Cosmetics Industry’s Best-Kept Sustainability Secret. Retrieved from Environmental Leader: http://www.environmentalleader.com/2013/01/08/green-processing-the-cosmetics-industrys-best-kept-sustainability-secret/
Nicol, D., Sanders, W., Singh, S., & Seri, M. (2008). Usable Global Network Access Policy for Process Control Systems. IEEE Security & Privacy, 2008, Volume: 6, pp. 30-36. doi:10.1109/MSP.2008.159
Res, M.-D. (2010). ERP Information Systems Requirements Specific to the Process Industry. 2(4), pp. 35–47.
Res, M.-D. (2011). Informatizarea managementului produc?iei industrial [Computerization of Industrial Production Management]. Cluj-Napoca, Cluj, Romania: Risoprint.
Sergio Hernandez, I., Ochoa, P., & Ramirez, J. (2007). Bluetooth and OPC (OLE for Process Control) for the Distributed Data Integration. CERMA , (pp. 27-32).
Tahir, B. S., Hasbullah, H., & Tahir, S. (2012). Dynamic relay management protocol for efficient inter-piconet scheduling in Bluetooth scatternet. Computers and Electrical Engineering, Vol. 38(Issue3), 626-642. doi:10.1016/j.compeleceng.2011.12.001
Woodall, W. (2000). Controversies and Contradictions in Statistical Process Control. Journal of Quality Technology, Vol. 32(No. 4), 341-350.
Xiuming, Z., Pei-Chi, H., Song, H., Mok, A., Deji, C., & Nixon, M. (2012). MinMax: A Sampling Interval Control Algorithm for Process Control Systems. IEEE, 68-77. doi:10.1109/RTCSA.2012.33
Bresfelean, V. P., Res, M.-D., & Comes, C.-A. (2015). ERP-PCS Connection in the Cosmetics Industry: Opportunities to Increase Energy Efficiency. International Journal of Academic Research in Business and Social Sciences, 5(9). 189-202.
Copyright: © 2015 The Author(s)
Published by Knowledge Words Publications (www.kwpublications.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode
