Event Classification System to Reconsider the Production Planning

Andrés Boza, Faustino Alarcón, M. M. E. Alemany, Llanos Cuenca

Abstract

On-going production planning can be affected by unexpected events that modify the planned scenario. Decision makers must react in some way to avoid problems in the production system when these events appear. Thus providing information about these events can be critical for decision makers, as events can affect not only operational processes but also previously made decisions. We herein propose an event monitoring system that classifies events into different impact levels. This information helps production decision-makers to consider changes in the on-going production planning. Furthermore, a risk matrix can be built, which determines the significance of the risk from the impact level and the likelihood. This likelihood of occurrences of these events can be estimated from the historical information of the event monitoring system. A prototype has been built following this proposal.

References

  1. Barash, G., Bartolini, C., & Wu, L. 2007, May. Measuring and improving the performance of an IT support organization in managing service incidents. In Business-Driven IT Management, 2007. BDIM'07. 2nd IEEE/IFIP International Workshop on (pp. 11-18). IEEE.
  2. Baron, M. M., & Pate-Cornell, M. E. 1999. Designing risk-management strategies for critical engineering systems. Engineering Management, IEEE Transactions on, 46(1), 87-100.
  3. Barták, R. 1999, December. On the boundary of planning and scheduling: a study. In Proceedings of the Eighteenth Workshop of the UK Planning and Scheduling Special Interest Group (pp. 28-39).
  4. Bartolini, C., Stefanelli, C., & Tortonesi, M. 2010. Analysis and performance improvement of the IT incident management process. Proc. Transactions on Network and Service Management (TNSM 10), IEEE Press, 132-144.
  5. Bearzotti, L. A., Salomone, E., & Chiotti, O. J. 2012. An autonomous multi-agent approach to supply chain event management. International Journal of Production Economics, 135(1), 468-478.
  6. Boza, A., Cortes, B., Alemany, M. D. M. E., & Vicens, E. 2015. Event Monitoring Software Application for Production Planning Systems. In Enhancing Synergies in a Collaborative Environment (pp. 123-130). Springer International Publishing.
  7. Buzacott, J. A., Corsten, H., Gössinger, R., & Schneider, H. M. 2012. Production planning and control: basics and concepts. Oldenbourg Verlag.
  8. Carneiro, L. M., Cunha, P., Ferreira, P. S., & Shamsuzzoha, A. 2013. Conceptual framework for non-hierarchical business networks for complex products design and manufacturing. Procedia CIRP, 7, 61-66.
  9. Chan, F. T., Au, K. C., & Chan, P. L. Y. 2006. A decision support system for production scheduling in an ion plating cell. Expert Systems with Applications, 30(4), 727-738.
  10. Chen, K. C. 2004. Decision support system for tourism development: system dynamics approach. The Journal of Computer Information Systems, 45(1), 104.
  11. Cohen D, Asín E 2001. Sistemas de información para los negocios: un enfoque de toma de decisiones. McGrawHill.
  12. Cox Jr. LA (Tony) 2008. What's Wrong with Risk Matrices? Risk Analysis, 28 (2), 497-512.
  13. ISO 2009. 73: 2009: Risk management vocabulary.
  14. Liao, S. H. 2005. Expert system methodologies and applications-a decade review from 1995 to 2004. Expert systems with applications, 28(1), 93-103.
  15. Liu, R., Kumar, A., & Van Der Aalst, W. 2007. A formal modeling approach for supply chain event management. Decision Support Systems, 43(3), 761- 778.
  16. Özdamar, L., Bozyel, M. A., & Birbil, S. I. 1998. A hierarchical decision support system for production planning (with case study). European Journal of Operational Research, 104(3), 403-422.
  17. Poon, T. C., Choy, K. L., Chan, F. T., & Lau, H. C. 2011. A real-time production operations decision support system for solving stochastic production material demand problems. Expert Systems with Applications, 38(5), 4829-4838.
  18. Sacala, I., Moisescu, M., & Repta, D. 2013. Towards the development of the future internet based enterprise in the context of cyber-physical systems. In 2013 19th International conference on control systems and computer science (CSCS), 405-412.
  19. SAP AG 2014. Next-Generation Business and the Internet of Things. Studio SAP | 27484enUS (14/03).
  20. Shamsuzzoha, A. H. M., Rintala, S., Cunha, P. F., Ferreira, P. S., Kankaanpää, T., & Maia Carneiro, L. 2013. Event Monitoring and Management Process in a Non Hierarchical Business Network. Intelligent Nonhierarchical Manufacturing Networks, 349-374.
  21. Shim, J. P., Warkentin, M., Courtney, J. F., Power, D. J., Sharda, R., & Carlsson, C. 2002. Past, present, and future of decision support technology. Decision support systems, 33(2), 111-126.
  22. Söderholm, A. 2008. Project management of unexpected events. International Journal of Project Management, 26(1), 80-86.
  23. Steiger, D. M. 1998. Enhancing user understanding in a decision support system: a theoretical basis and framework. Journal of Management Information Systems, 199-220.
  24. Turban, E., & Watkins, P. R. 1986. Integrating expert systems and decision support systems. Mis Quarterly, 121-136.
  25. Van Wezel, W., Van Donk, D. P., & Gaalman, G. 2006. The planning flexibility bottleneck in food processing industries. Journal of Operations Management, 24(3), 287-300.
  26. Vargas, A., Cuenca, L., Boza, A., Sacala, I., & Moisescu, M. 2016. Towards the development of the framework for inter sensing enterprise architecture. Journal of Intelligent Manufacturing, 27(1), 55-72.
  27. Weinstein, L., & Chung, C. H. 1999. Integrating maintenance and production decisions in a hierarchical production planning environment. Computers & operations research, 26(10), 1059-1074.
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Paper Citation


in Harvard Style

Boza A., Alarcón F., Alemany M. and Cuenca L. (2016). Event Classification System to Reconsider the Production Planning . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-187-8, pages 82-88. DOI: 10.5220/0005915700820088


in Bibtex Style

@conference{iceis16,
author={Andrés Boza and Faustino Alarcón and M. M. E. Alemany and Llanos Cuenca},
title={Event Classification System to Reconsider the Production Planning},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2016},
pages={82-88},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005915700820088},
isbn={978-989-758-187-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Event Classification System to Reconsider the Production Planning
SN - 978-989-758-187-8
AU - Boza A.
AU - Alarcón F.
AU - Alemany M.
AU - Cuenca L.
PY - 2016
SP - 82
EP - 88
DO - 10.5220/0005915700820088