Abstract
The changing business environment in which manufacturers are acting creates the need for more effective production processes planning, scheduling and control methods that are able to deal with uncertainties inherent in internal processes and external deliveries. The aim of the paper is to introduce the multiagent approach method for production planning, scheduling and control applicable in conditions of supply chain (SC) able to overcome the limitation of standard MRP/ERP systems in changing environment. Traditional approaches very often do not consider the influence of uncertainty inherent in production processes and supplies. Therefore, there is a need for the integration of manufacturing process planning, scheduling and control systems for generating more realistic and effective plans. Conceptual framework for the multiagent approach method involves the hybrid solutions combining the advantages of MRP simple logic and theory of constrains (TOC) ability to synchronize all production and material flow in supply chain. Authors discuss how application of TOC buffers monitoring procedures can help to improve the control of synchronized production and material flow in supply chain.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Golinska, P., Brehm, N., Fertsch, M., Marx Gomez, J., Oleskow, J., Pawlewski, P.: The proposal of production planning and control system applicable by supply chain integration by through agent-based solutions. In: The proceedings of the 19th ICPR, 19th International Conference on Production Research, Valparaiso, Chile, 27.07-02.08 (2007)
Goldberg, D.: Genetic Algorithms in Search, Optimization, and Machine learning. Addison-Wesley, Reading (1989)
Guide, V.D.R., Shiverasta, R.: A review of techniques for buffering against uncertainty with MRP systems. Prod., Planning and Control 11, 223–233 (2000)
Guide Jr., V.D.R.: Scheduling using DBR in a remanufacturing environment. Int. Journal of Production Research 34, 1081–1091 (1996)
Kirkpatrick, S., Gelatt, D., Vecchi, M.P.: Optimization by simulating annealing. Science 220, 671–680 (1983)
Jennings, N.R., Wooldridge, M.J.: Applications of Intelligent Agents. Agent Technology: Foundations, Applications, and Markets, pp. 3–28. Springer, Heidelberg (1998)
Chang, F.T.S., Zhang, J., Li, P.: Modelling of integrated distributed and co-operative process planning system using an agent-based approach. Proc. Inst. Mech. Eng., Part B-J. Eng. Manuf. 215(B10), 1437–1451 (2001)
Pechoucek, M., ŘÃha, A., VokrÃnek, J., MarÃk, V., Prazma, V.: ExPlanTech: Applying Multi-agent Systems in Production Planning. Production Planning and Control 3(3), 116–125 (2003)
Saygin, C., Kilic, S.: Integrating flexible process plans with scheduling in flexible manufacturing systems. Int. J. Adv. Manufacturing Tech. 15(4), 268–280
Schragenheim, E., Ronen, B.: Drum–buffer–rope shop floor control. Productions and Inventory Management Journal 31(3), 18–22 (1996)
Shen, W., Wang, L., Hao, Q.: Agent-Based Distributed Manufacturing Process Planning and Scheduling: A state-of-art survey. IEEE Transactions on Systems, Man and Cybernetics-Part C: Applications and Reviews 36(4) (2006)
Shen, W.: Distributed manufacturing scheduling using intelligent agent. IEEE Expert /Intell.Syst. 17(1), 88–94 (2002)
Towill, D.R., Childerhouse, P., Disney, S.M.: Integrating the Automotive Supply Chain: Where are we Now? International Journal of Physical Distribution and Logistics Management 32(2), 79–95 (2002)
Viera, G.E., Favetto, F.: Understanding the complexity of Master Production Scheduling Optimization. In: Proceeding of the 18th ICPR, Salerno, Italy (2005)
Zijm, W.H.M.: The integration of process planning and shop floor scheduling in small batch part manufacturing. Ann CIRP 44(1), 429–432 (1995)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pawlewski, P., Golinska, P., Fertsch, M., Trujillo, J.A., Pasek, Z.J. (2009). Multiagent Approach for Supply Chain Integration by Distributed Production Planning, Scheduling and Control System. In: Corchado, J.M., RodrÃguez, S., Llinas, J., Molina, J.M. (eds) International Symposium on Distributed Computing and Artificial Intelligence 2008 (DCAI 2008). Advances in Soft Computing, vol 50. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85863-8_5
Download citation
DOI: https://doi.org/10.1007/978-3-540-85863-8_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85862-1
Online ISBN: 978-3-540-85863-8
eBook Packages: EngineeringEngineering (R0)