Abstract
This paper presents a collaborative agents model for Sales and Operation Planning (S&OP) in industry. We show how an S&OP system can be used in a multi-agent approach considering existing legacy software and how people and software agents interact in a planning environment in a process industry, such as the petrochemical industry. The model helps to describe the process, determine the pre-existing software integrations, define responsibilities, and promote communication and learning. The solution adopted is crucial for a high performance S&OP. It is also important to consider the interaction among human agents and software agents, which are required for its success. The multi-agent system (MAS) paradigm is useful for helping industries handle distributed information sources and interactions between a number of actors and teams. We examine activities of an S&OP in a petrochemical company and how these activities can be more efficiently performed through MAS.
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
Vrba, P.: Review of Industrial Applications of Multi-agent Technologies. In: Borangiu, T., Thomas, A., Trentesaux, D. (eds.) Service Orientation in Holonic and Multi agent, SCI, vol. 472, pp. 327–338. Springer, Heidelberg (2013)
Shen, W., Hao, Q., Yoon, H.J., Norrie, D.H.: Applications of agent-based systems in intelligent manufacturing: An updated review. Advanced Engineering Informatics 20, 415–431 (2006), doi:10.1016/j.aei.2006.05.004.
He, N., Zhang, D.Z., Li, Q.: Agent-based hierarchical production planning and scheduling in make-to-order manufacturing system. International Journal of Production Economics (2013), http://dx.doi.org/10.1016/j.ijpe.2013.08.022
Hernández, J.E., Lyons, A.C., Mula, J., Poler, R., Ismai, H.: Production Planning & Control: Supporting the collaborative decision-making process in an automotive supply chain with a multi-agent system. Production Planning & Control: The Management of Operations (2013), doi:10.1080/09537287.2013.798086
Tichý, P., Slechta, P., Maturana, F., Balasubramanian, S.: Industrial MAS for Planning and Control. In: Marik, V., et al. (eds.) Proceedings of the 9th ECCAI-ACAI/EASSS 2001, AEMAS 2001, HoloMAS 2001 on Multi-Agent-Systems and Applications II-Selected Revised Papers, pp. 280–295 (2002)
Jindal, K., Srinivasan, S., Sharma, M.: Review of Decision Support System Based on Multi Agent in Production Scheduling. International Journal of Engineering and Social Science 3(10), 33–36 (2013)
Leitão, P.: Agent-based distributed manufacturing control: A state-of-the-art survey. Engineering Applications of Artificial Intelligence 22(7), 979–991 (2009)
Caridi, M., Cavalieri, S.: Multi-agent systems in production planning and control: an overview. Production Planning & Control: The Management of Operations 15(2), 106–118 (2004), doi:10.1080/09537280410001662556
Vollmann, T.E., Berry, W.L., Whybark, D.C., Jacobs, F.R.: Manufacturing Planning and Control Systems for Supply Chain. Irwin, NY (2005)
Grimson, J.A., Pyke, D.F.: Sales and operations planning: an exploratory study and framework. International Journal of Logistics Management 18(3), 322–346 (2007)
Schlegel, G.L., Murray, P.: Next Generation of S&OP: Scenario Planning with Predictive Analytics & Digital Modeling. Journal of Business Forecasting (Fall 2010)
Olhager, J.: Evolution of operations planning and control: from production to supply chains. International Journal of Production Research 51, 6836–6843 (2013), doi:10.1080/00207543.2012.761363.
Wallace, T.F.: Sales & Operations Planning: The How-To Handbook, USA
Lapide, L.: Sales and operations planning Part I: the process. The Journal of Business Forecasting 23(3), 17–19 (2004a)
Wing, L.G.P.: Toward twenty-first-century pharmaceutical sales and operations planning. Pharmaceutical Technology North America, 20–26 (2001)
Lapide, L.: Sales & operations planning part III: a diagnostic model. Journal of Business Forecasting 24(1), 13–16 (2005)
Ventana Research. Sales and operations Planning: Measuring Maturity and Opportunity for Operational Performance Management. Ventana Research, San Mateo, CA, USA (2006)
Feng, Y., Sophie D’Amours, S., Beauregard, R.: The value of sales and operations planning in oriented strand board industry with make-to-order manufacturing system: cross functional integration under deterministic demand and spot market recourse. International Journal of Production Economics 115(1), 189–209 (2008), doi:10.1016/j.ijpe.2008.06.002.
Viswanathan, N.: Sales and operations Planning: Integrate with Finance and Improve Revenue. Aberdeen Group, Boston (2009)
Cacere, L., Barret, J., Mooraj, H.: Sales and Operations Planning: Transformation from Tradition. Industry Value Chain Strategies. AMR Research, Boston (2009)
Wells, A.M., Schorr, J.: Sales and Operations Planning: The key to continuous demand satisfaction. SAP INSIGHT Business Process Innovations (2007), http://arnoldmarkwells.com/images/Sales_and_Operations_Planning_The_Key_to_Continuous_Demand_Satisfaction.pdf
Lapide, L.: Sales and operations planning Part II: enabling technology. The Journal of Business Forecasting 23(3), 18–20 (2004)
Jurečka, P.: Strategy and Portfolio Management Aspects of Integrated Business Planning. Central European Business Review 2(1), 28–36 (2013)
Gundersen, O.E., Kofod-Petersen, A.: Multiagent Based Problem-solving in a Mobile Enviroment. In: Norsk Informatik Konferanse, Bergen (2005)
Öztürk, P., Rossland, K., Gundersen, O.E.: A multiagent framework for coordinated parallel problem solving. Appl. Intell. 33(2), 132–143 (2010), doi:10.1007/s10489-008-0154-7
Adamczak, M., Domański, R., Cyplik, P.: Use of sales and operations planning in small and medium-sized enterprises. LogForum 9(1), 11–19 (2013)
APICS. Sales & Operations Planning. Presented at the Region IV Meeting for the Association for Operation Management, New Orleans (April 14, 2007)
Thomé, A.M.T., Scavarda, L.P., Fernandez, N.S., Scavarda, A.J.: Sales and Operations Planning: A Research Synthesis. International Journal of Production Economics 138(1), 1–13 (2012)
Corrêa, H.L., Gianesi, I.G.N., Caon, M.: Planejamento, Programação e Controle da Produção. Editora Atlas, São Paulo (2001)
Chandrasekaran, B., Johnson, T.R.: Generic tasks and Task structures: History, critique and new directions. In: David, J.M., Krivine, J.P., Simmons, R. (eds.) Second Generation Expert Systems, pp. 232–272. Springer, Berlin (1993)
Fensel, D., Motta, E., Benjamins, V.R., Crubezy, M., Decker, S., Gaspari, M., Groenboon, R., Grosso, W., Van Harmelen, F., Musen, M., Plaza, E., Schreiber, G., Studer, R., Wielinga, B.: The unified problem-solving method development language UPML. Knowledge and Information Systems (1999)
Wooldridge, M.: Intelligent Agents. In: Weiss, G. (ed.) Multiagent Systems – A Modern Approach to Distributed Artificial Intelligence. MIT Press (1999)
Tanajura, A.P.M., Cabral, S.: Sales and Operations Planning (S&OP) in a Petrochemical Company. TAC, Curitiba 1(2), 55–67 (2011)
Rossi, M.C., Bandoni, J.A.: Planning of an integrated Petrochemical Complex Using SCMart®. Paper presented at the 2nd Mercosur Congress on Chemical Engineering 4th Mercosur Congress on Process Systems Engineering, Costa Verde, August 14-18 (2005)
Cox, J., Goldratt, E.M.: The goal: a process of ongoing improvement. North River Press, Great Barrington (1986)
Finin, T., Fritzson, R., McKay, D., McEntire, R.: KQML as an agent communication language. In: Proceedings of the Third International Conference on Information and Knowledge Management, CIKM 1994, New York, USA, pp. 456–463 (1994)
Searle, J.: Indirect speech acts. In: Syntax and Semantics, vol. 3: Speech Acts, pp. 59–82. Academic Press, New York (1975)
Smith, R.G.: The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver. IEEE Transactions on Computers C-29(12), 1104–1113 (1980)
Foner, L.N., Crabtree, I.B.: Multi-Agent Matchmaking. In: Nwana, H.S., Azarmi, N. (eds.) Software Agents and Soft Computing: Towards Enhancing Machine Intelligence. LNCS, vol. 1198, pp. 100–115. Springer, Heidelberg (1997)
Öztürk, P., Aamodt, A.: A context model for knowledge-intensive case-based reasoning. International Journal of Human Computer Studies 48, 331–355 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tanajura, A.P.M., Öztürk, P., Lepikson, H. (2015). Collaborative Agents Supporting Tactical Planning Activities – An Industrial Application. In: Gen, M., Kim, K., Huang, X., Hiroshi, Y. (eds) Industrial Engineering, Management Science and Applications 2015. Lecture Notes in Electrical Engineering, vol 349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47200-2_32
Download citation
DOI: https://doi.org/10.1007/978-3-662-47200-2_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-47199-9
Online ISBN: 978-3-662-47200-2
eBook Packages: Computer ScienceComputer Science (R0)