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The Application of a Business Process Modeling Architecture in the Supply Chain of a Manufacturing Company: A Case Study

  • Nikolaos A. Panayiotou
  • Vasileios P. StavrouEmail author
  • Sotiris P. Gayialis
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

Business process modeling is aimed at the design and documentation of business processes. Business process models are used to analyze processes, to reduce their complexity, to evaluate their performance and finally to assist business process improvement. In this light, a number of modeling architectures, methods and tools have been developed in order to assist scientists and practitioners to model and manage business processes. In addition, supply chain management importance is increasingly being recognized as it integrates and synchronizes business processes across the extended supply chains.

This paper deals with the application of a specific business process modeling architecture in order to design supply chain processes in the case of a SME manufacturing company. The modeling architecture has been developed in the context of the “Odysseus” research project, which deals with the management of demand variability in modern supply chains. The architecture covers different supply chain views such as processes and activities, organization, information systems, risk management and decision making. These views are covered by the modeling architecture using nine selected and interconnected ARIS methods. The architecture is applied in a Greek SME company producing electrical equipment. The production process of the equipment consists of in-house as well as sub-contracted phases performed by Greek and European manufacturers. The coordination of the related supply chain processes is performed by the company under discussion. Due to the extended degree of collaboration, the need for accurate planning, coordination and controlling in the supply chain is highly increased, making business process modeling an ideal enabling approach.

Keywords

Business processes modeling Architecture ARIS methods Case study Manufacturing company Subcontractors 

Notes

Acknowledgments

The research efforts described in this paper are part of the research project “A Holistic Approach for Managing Variability in Contemporary Global Supply Chain Networks” in research action: “Thales—Support of the interdisciplinary and/or inter-institutional research and innovation” which is implemented under the Operational Programme: Education and Lifelong Learning, NSRF 2007–2013 and is co-funded by European Union (European Social Fund) and Greek Government.

References

  1. Bandara W, Gable G, Rosemann M (2005) Factors and measures of business process modelling: model building through a multiple case study. Eur J Inf Syst 14(4):347–360CrossRefGoogle Scholar
  2. Capgemini (2004) Business process modeling defined. URL: http://www.cdc.gov/std/program/bpmm/overview.pdf. Last Retrieved 25 Sept 2015
  3. Christopher ML (1992) Logistics and supply chain management. Pitman Publishing, LondonGoogle Scholar
  4. Ciborra CU (1997) De profundis? Deconstructing the concept of strategic alignment. Scand J Inf Syst 9(1):67–82Google Scholar
  5. Com Cloud Study (2015) Discuss six sigma, BPM life cycle and total quality management. https://sites.google.com/site/comcloudhelper/home/ipcc/business-process-management-it/discuss-sixsigma-bpm-life-cycle-and-total-quality-management-tqm. Retrieved 20 Dec 2015
  6. Cooper M, Ellram L (1993) Characteristics of supply chain management and the implication for purchasing and logistics strategy. Int J Logist Manag 4(2):13–24CrossRefGoogle Scholar
  7. Curtis B, Kellner K, Over J (1992) Process modeling. Commun ACM 35(9):75–90CrossRefGoogle Scholar
  8. Davenport T (2005) The coming commoditization of processes. Harv Bus Rev 83(6):100–108Google Scholar
  9. Davis R (2001) The event-driven process chain, business process modeling with ARIS: a practical guide. Springer Science & Business Media, London, pp 111–139CrossRefGoogle Scholar
  10. Davis R (2008) ARIS, design platform, advanced process modeling and administration. Springer Science & Business Media, LondonGoogle Scholar
  11. Emiris DM, Koulouriotis DE, Matsatsinis NF (2001) Modeling of business processes and functions of an industrial unit for ERP system application. Oper Res: An Int J 1(2):181–195Google Scholar
  12. Gayialis S, Ponis S, Tatsiopoulos I, Panayiotou N, Stamatiou D-R (2013) A knowledge-based reference model to support demand management in contemporary supply chains. 14th European conference on knowledge management, Kaunas University of Technology, pp 236–244Google Scholar
  13. Gayialis SP, Ponis ST, Panayiotou NA, Tatsiopoulos IP (2015) Managing Demand in supply chain: the business process modeling approach. 4th international symposium and 26th national conference on operational research, Chania, Greece, pp 73–79Google Scholar
  14. Giaglis G (2001) A taxonomy of business process modeling and information systems modeling techniques. Int J Flex Manuf Syst 13(2):209–228CrossRefGoogle Scholar
  15. Grundy JC, Apperley MD, Hosking JG, Mugridge WB (1998) A decentralized architecture for software process modeling and enactment. IEEE Internet Comput 5:53–62CrossRefGoogle Scholar
  16. INFORMS.org (2015) What is operations research? URL: https://www.informs.org/About-INFORMS/What-is-Operations-Research. Last Retrieved 25 Sept 2015
  17. Jiménez M, Piattini M, Vizcaíno A (2009) Challenges and improvements in distributed software development: a systematic review. Adv Softw Eng (3). doi: 10.1155/2009/710971
  18. La Londe BJ, Masters J (1994) Emerging logistics strategies: blueprints for the next century. Int J Phys Distrib Logist Manag 24(7):35–47CrossRefGoogle Scholar
  19. Lambert K, Douglas M, James R, Ellram L (1998) Fundamentals of logistics management. Chapter 14. Irwin/McGraw-Hill, Boston, MAGoogle Scholar
  20. Lampathaki F, Koussouris S, Psarras J (2013) Business process modeling, business process reengineering. Decision Support Systems Laboratory NTUA. URL: http://academics.epu.ntua.gr/LinkClick.aspx?fileticket=nNPcBN7bjX0%3D&tabid=930&mid=2218. Last Retrieved 25 Nov 2015
  21. Lancaster University, Management School (2013) What is operational research? URL: http://www.lancaster.ac.uk/lums/study/masters/programmes/msc-operational-research-management-science/what-is-operational-research/. Last Retrieved 25 Sept 2015
  22. Mentzer J, DeWitt W, Keebler J, Min S, Nix N, Smith C, Zacharia Z (2001) Defining supply chain management. J Bus Logist 22(2):1–25CrossRefGoogle Scholar
  23. Morrison ED, Ghose AK, Dam HK, Hinge KG, Hoesch-Klohe K (2011) Service-oriented computing of the series lecture notes in computer science strategic alignment of business processes. ICSOC 2011 Workshops 221: 9–21Google Scholar
  24. Panayiotou NA, Tatsiopoulos IP (2013) Supporting the design of a management accounting system of a company operating in the gas industry with business process modeling. In: Advances in production management systems, competitive manufacturing for innovative products and services. Springer, Berlin, pp 686–692Google Scholar
  25. Panayiotou NA, Gayialis SP, Evangelopoulos NP, Katimertzoglou PK (2015) A business process modeling-enabled requirements engineering framework for ERP implementation. Bus Process Manag J 21(3):628–664CrossRefGoogle Scholar
  26. Ponis S, Gayialis S, Tatsiopoulos I, Panayiotou N, Stamatiou D, Ntalla A (2015) An application of AHP in the development process of a supply chain reference model focusing on demand vari ability. Oper Res Int J 15(3):337–357CrossRefGoogle Scholar
  27. Porter ME (1985) The competitive advantage: creating and sustaining superior performance. Free Press, New York. Republished 1998Google Scholar
  28. Recker J, Rosemann M, Indulska M, Green P (2009) Business process modeling—a comparative analysis. J Assoc Inf Syst 10(4):335–363Google Scholar
  29. Roser S, Bauer B (2005) A categorization of collaborative business process modeling techniques. Seventh IEEE International Conference on E-Commerce Technology Workshops, pp 43–51Google Scholar
  30. Scheer A (2000) ARIS—business process modeling, 3rd edn. Springer, BerlinCrossRefGoogle Scholar
  31. Taha H (2007) Operations research: an introduction, 8th edn. Pearson Prentice Hall, Upper Saddle River, NJGoogle Scholar
  32. Telecken TL, Valdeni de Lima J, Montgomery Barroso F (2004) Process modeling architectures with namespace and XML technology, CLEI- Conferencia latinoamericana de informatica, 2004, Arequipa, Peru, pp 54–65Google Scholar
  33. Xu H, Li Z, Bo-sheng Z (2005) Enterprise process modeling methodology and environment supporting project management. J Shanghai Univ 9(6):493–500CrossRefGoogle Scholar
  34. Yin R (2003) Case study research: design and methods. Sage Publications, LondonGoogle Scholar
  35. Zachman J (1987) A framework for information systems architecture. IBM Syst J 26(3):276–292CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Nikolaos A. Panayiotou
    • 1
  • Vasileios P. Stavrou
    • 1
    Email author
  • Sotiris P. Gayialis
    • 1
  1. 1.Sector of Industrial Management and Operational Research, School of Mechanical EngineeringNational Technical University of AthensZografos, AthensGreece

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