Skip to main content

Configuring Supply Chain Business Processes Using the SCOR Reference Model

  • Conference paper
  • First Online:
Business Modeling and Software Design (BMSD 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 319))

Included in the following conference series:

Abstract

Supply chains consist of a network of people, activities, resources and organizational systems that coordinate to move a product or services from one point to another. A typical supply chain network contains multiple different actors that have different needs and operate under different business conditions. The complex and lengthy structure of agri-food supply chains for instance makes it difficult for analysts to identify and model the appropriate business processes. Several process reference models have been provided for describing process models, but these tend to omit explicit guidance for configuring supply chain business processes particularly in the agri-food supply chains. Hence, this paper applies and adapt the SCOR model levels to demonstrate an approach for supporting configuration of supply chain business processes dedicated for supply chains. We illustrate the approach for an industrial case of a cocoa supply chain. The approach was also applied to define and model the level 4 processes which is out of scope of the SCOR model and scarce in literature for many sectors including our illustrated case.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Rainer Kelly, R., Prince, B., Watson, J.H.: Management Information Systems. Moving Business Forward, 3rd edn. Wiley, New York (2015)

    Google Scholar 

  2. Wattky, A., Neubert, G.: Improving supply chain performance through business process reengineering. In: Bernus, P., Fox, M., Goossenaerts, J.B.M. (eds.) Knowledge Sharing in the Integrated Enterprise. ITIFIP, vol. 183, pp. 337–349. Springer, Boston (2005). https://doi.org/10.1007/0-387-29766-9_28

    Chapter  Google Scholar 

  3. Tekinerdogan, B., Sozer, H.: Architectural viewpoint for modelling dynamically configurable software systems. In: Managing Trade-Offs in Adaptable Software Architectures, pp. 79–97 (2017)

    Chapter  Google Scholar 

  4. Lambert, D.M., Cooper, M.C.: Issues in supply chain management. Ind. Mark. Manage. 29(1), 65–83 (2000)

    Article  Google Scholar 

  5. Ling, L., Qin, S., Xu, C.: Ensuring supply chain quality performance through applying the SCOR model. Int. J. Prod. Res. 49(1), 33–57 (2010). https://doi.org/10.1080/00207543.2010.508934

    Article  Google Scholar 

  6. Lambert, D.M., Garcia-Dastugue, S.J., Croxton, K.L.: An evaluation of process-oriented supply chain management frameworks. J. Bus. Logist. 26(1), 25–51 (2005)

    Article  Google Scholar 

  7. Harmon, P.: Second generation business process methodologies. Bus. Process Trends Newsl. 1(5), 1–12 (2003)

    Google Scholar 

  8. Garcia, F.A., Marchetta, M.G., Camargo, L., Morel, L.: A framework for measuring logistics performance in the wine industry. Int. J. Prod. Econ. 135(1), 284–298 (2012)

    Article  Google Scholar 

  9. Cheng, J.C.P., Law, K.H., Bjornsson, H., Jones, A., Sriram, R.D.: Modelling and monitoring of construction supply chains. Adv. Eng. Inform. 24, 435–455 (2010)

    Article  Google Scholar 

  10. Vijay, K.: Systematic assessment of SCOR for modelling supply chains. In: 38th Hawaii International Conference on Systems Sciences. Centre for Process Innovation, Georgia State University. 10 p. (2005)

    Google Scholar 

  11. Supply Chain Council, Inc.: SCOR Overview: Supply Chain Council, Version 10 (2010)

    Google Scholar 

  12. Lepori, E., Damand, D., Barth, B.: Benefits and limitations of the SCOR model in warehousing. Int. Fed. Autom. Control 7(1), 424–429 (2013)

    Google Scholar 

  13. Weske, M., van der Aalst, W.M.P., Verbeek, H.M.W.: Advances in business process management. Data Knowl. Eng. 50(1), 1–8 (2004)

    Article  Google Scholar 

  14. Davenport, T.H., Short, J.E.: The new industrial engineering: information technology and business redesign. Sloan Manag. Rev. 31(4), 11–27 (1990)

    Google Scholar 

  15. Dumas, M., La Rosa, M., Mendling, J., Reijers, H.: Introduction to business process management. In: Dumas, M., La Rosa, M., Mendling, J., Reijers, H. (eds.) Fundamentals of Business Process Management, pp. 1–31. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  16. Aguilar- Saven, R.S.: BP modelling: review and framework. Int. J. Prod. Econ. 90(2), 129–149 (2004)

    Article  Google Scholar 

  17. Object Management Group: Business Process Model and Notation 2.0 (BPMN 2.0) (2011)

    Google Scholar 

  18. ISO/IEC. Information Technology-Object Management Group Business Process Model and Notation. ISO/IEC 19510 (2013)

    Google Scholar 

  19. Asumadu-Sarkodie, S., Owusu, P.A.: The causal nexus between carbon dioxide emissions and agriculture ecosystem-an econometric approach. Environ. Sci. Pollut. Res. 24(2), 1608–1618 (2017)

    Article  Google Scholar 

  20. Monastyrnaya, E., Joerin, J., Dawoe, E., Six, J.: Assessing the Resilience of the Cocoa Value Chain in Ghana. Case study report (2016)

    Google Scholar 

  21. Anthonio, D.C., Aikins, E.D.: Reforming Ghana’s cocoa sector: an evaluation of private participation in marketing. Master thesis. Lulea University of Technology Master (2009)

    Google Scholar 

  22. Collins, O.A., Aboagye, M.O., Justice, O.A., Margaret, O.B.: Information efficiency and the cocoa supply chain in Ghana. Am. Int. J. Soc. Sci. 4(6) (2015)

    Google Scholar 

  23. World Bank: Supply chain risk assessment of cocoa in Ghana (2013)

    Google Scholar 

  24. Awuah-Gyawu, M., Brako, S., Adzimah, E.D.: Assessing the challenges facing cocoa production in Ghana. A case of selected licensed buying companies in Ashanti Region-Ghana. J. Supply Chain Manag. (2015)

    Google Scholar 

  25. Van der Aalst, W.M.P.: Process discovery. An introduction. In: Van der Aalst, W.M.P. (ed.) Process Mining. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-662-49851-4_6

    Chapter  MATH  Google Scholar 

  26. Verdouw, C.N., Beulens, A.J.M., Trienekens, J.H., Van der Vorst, J.G.A.J.: Process modelling in demand-driven supply chains: a reference model for the fruit industry. Comput. Electron. Agric. 73, 174–187 (2010)

    Article  Google Scholar 

  27. Venkataraman, R.: Project supply chain management: optimizing value: the way we manage the total supply chain. In: Morris, P.W., Pinto, J.K. (eds.) The Wiley Guide to Project Technology, Supply Chain & Procurement Management, p. 242. Wiley, Hoboken (2007)

    Chapter  Google Scholar 

  28. Cheng, J.C.: SC Collaborator: a service oriented framework for construction supply chain collaboration and monitoring. Ph.D. thesis, Department of Civil and Environmental Engineering, Stanford University, Standford CA, USA (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ayalew Kassahun .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ahoa, E., Kassahun, A., Tekinerdogan, B. (2018). Configuring Supply Chain Business Processes Using the SCOR Reference Model. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2018. Lecture Notes in Business Information Processing, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-319-94214-8_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-94214-8_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94213-1

  • Online ISBN: 978-3-319-94214-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics