Flexible Services and Manufacturing Journal

, Volume 22, Issue 3–4, pp 183–213 | Cite as

Collaborative fractal-based supply chain management based on a trust model for the automotive industry

  • Seungjin Oh
  • Kwangyeol Ryu
  • Ilkyeong Moon
  • Hyunbo Cho
  • Mooyoung Jung


In the supply chain of the automotive industry, where the procurement ratio of parts from partners is very high, the trustworthiness of partners should be considered during supply chain optimization. In this paper, to deal with the trust issue related to collaboration and reduce the computational load in production planning, we develop a collaborative fractal-based supply chain management framework for the automotive industry. In our framework, the relationships between the participants of a supply chain are modeled as a fractal. Each fractal has a goal model and generates a production plan of its participants based on the goal model. The goal model of each fractal is developed from an operational perspective to consider the trust value of participants during production planning. A fuzzy trust evaluation model is used to evaluate the trust value in terms of numerical value. To validate the developed framework in the automotive industry, simulations are conducted. The results of the simulations indicate that our framework can be useful in generating precise production plans.


Supply chain management Automotive industry Trust evaluation Collaborative fractal-based supply chain management (c-fSCM) 



This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, and Technology (2009-0077660 and 2009-0087861). The authors would like to express their gratitude for this support. We also thank the editor and anonymous reviewers for their helpful comments.


  1. Aigbedo H (2007) An assessment of the effect of mass customization on suppliers’ inventory levels in a JIT supply chain. Eur J Oper Res 181:704–715MATHCrossRefGoogle Scholar
  2. Akkermans H, Bogerd P, Doremalen JV (2004) Travail, transparency and trust: a case study of computer-supported collaborative supply chain planning in high-tech electronics. Eur J Oper Res 153:445–456MATHCrossRefGoogle Scholar
  3. Alford D, Sackett P, Nelder G (2000) Mass customization-an automotive perspective. Int J Prod Econ 65:99–110CrossRefGoogle Scholar
  4. Angerhofer BJ, Angelides MC (2006) A model and a performance measurement system for collaborative supply chains. Decis Support Syst 42:283–301CrossRefGoogle Scholar
  5. Berning G, Brandenburg M, Gursoy K, Kussi JS, Mehta V, Tolle F (2004) Integrating collaborative planning and supply chain optimization for the chemical process industry (I)-methodology. Comput Chem Eng 28:913–927CrossRefGoogle Scholar
  6. Boersma K, Kingma S (2005) From means to ends: the transformation of ERP in a manufacturing company. J Strategic Inf Syst 14:197–219CrossRefGoogle Scholar
  7. Bullinger HJ, Faehnrich KP, Laubscher HP (1997) Planning of multi-site production: an objective-oriented model. Int J Prod Econ 51:19–35CrossRefGoogle Scholar
  8. Buzacott JA, Mandelbaum M (2008) Flexibility in manufacturing and services: achievements, insights and challenges. Flex Serv Manuf J 20:13–58MATHCrossRefGoogle Scholar
  9. Childerhouse P, Disney SM, Towill DR (2008) On the impact of order volatility in European automotive sector. Int J Prod Econ 114:2–13CrossRefGoogle Scholar
  10. Currall SC, Inkpen AC (2002) A multi level approach to trust in joint ventures. J Int Bus Stud 33(3):479–495CrossRefGoogle Scholar
  11. Demeter K, Gelei A, Jenei I (2006) The effect of strategy on supply chain configuration and management practices on the basis of two supply chains in the Hungarian automotive industry. Int J Prod Econ 104:555–570CrossRefGoogle Scholar
  12. Fukuyama F (1995) Trust: social virtues and the creation of prosperity. Free, New YorkGoogle Scholar
  13. Gnoni MG, Iavagnilio R, Mossa G, Mummolo G, Leva AD (2003) Production planning of a multi-site manufacturing system by hybrid modeling: a case study from the automotive industry. Int J Prod Econ 85:251–262CrossRefGoogle Scholar
  14. Handfield RB, Bechtel C (2003) The role of trust and relationship structure in improving supply. Ind Mark Manage 31:367–382CrossRefGoogle Scholar
  15. Iskandar BY, Kurokawa S, LeBlanc LJ (2001) Business-to-Business electronic commerce form first-and second tier automotive suppliers’ perspectives: a preliminary analysis for hypotheses generation. Technovation 21:719–731CrossRefGoogle Scholar
  16. Ito T, Salleh MR (2000) A blackboard-based negotiation for collaborative supply chain system. J Mater Proc Technol 107:298–403CrossRefGoogle Scholar
  17. Jiao J, You X, Kumar A (2006) An agent-based framework for collaborative negotiation in the global manufacturing supply chain network. Robotics Comput Integr Manuf 22:239–255CrossRefGoogle Scholar
  18. Reeves KA Jr, Caliskan F, Ozcan O (2010) Outsourcing distribution and logistics services within the automotive supplier industry. Transp Res Part E 46:459–468CrossRefGoogle Scholar
  19. Koh SCL, Gunasekaran A, Cooper JR (2009) The demand for training and consultancy investment in SME-specific systems implementation and operation. Int J Prod Econ 122:241–254CrossRefGoogle Scholar
  20. Kwon IWG, Suh T (2006) Factors affecting the level of trust and commitment in supply chain relationships. J Suppl Chain Manage 40(2):4–11CrossRefGoogle Scholar
  21. Lane C, Bachmann R (1999) Trust within and between organizations. Oxford University Press, OxfordGoogle Scholar
  22. Laosirhongthong T, Dangayach GS (2005) A comparative study of implementation of manufacturing strategies in Thai and Indian automotive manufacturing companies. J Manuf Syst 24(2):131–143CrossRefGoogle Scholar
  23. Lavravc N, Ljubivc P, Urbanvcivc T, Papa G, Jermol M, Bollhalter S (2007) Trust modeling for networked organizations using reputation and collaboration estimates. IEEE Trans Syst Man Cybernatics-Part C: Appl Rev 37(3):429–439Google Scholar
  24. McCutcheon D, Stuart FI (2000) Issues in the choice of supplier alliance partners. J Manag 18(3):279–302Google Scholar
  25. Moon IK, Goyal SK, Cha BC (2008) The joint replenishment problem involving multiple suppliers offering quantity discounts. Int J Syst Sci 39(6):629–637MathSciNetCrossRefGoogle Scholar
  26. Moore KR (2006) Trust and relationship commitment in logistics alliances: a buyer perspective. J Suppl Chain Manag 34(1):24–37CrossRefGoogle Scholar
  27. Msanjila SS, Afsarmanesh H (2008) Trust analysis and assessment in virtual organization breeding environment. Int J Prod Res 46(5):1253–1295MATHCrossRefGoogle Scholar
  28. Mun J, Shin M, Jung M (2009a) A goal-oriented trust model for virtual organization creation. J Intell Manuf. doi:  10.1007/s10845-009-0293-7
  29. Mun J, Shin M, Lee K, Jung M (2009b) Manufacturing enterprise collaboration based on a goal-oriented fuzzy trust evaluation model in a virtual enterprise. Comput Ind Eng 56(3):888–901CrossRefGoogle Scholar
  30. Panayides PM, Lun YHV (2009) The impact of trust on innovativeness and supply chain performance. Int J Prod Econ 122:35–46CrossRefGoogle Scholar
  31. Pierreval H, Bruniaux R, Caux C (2007) A continuous simulation approach for supply chains in the automotive industry. Simul Model Pract Theory 15:185–198CrossRefGoogle Scholar
  32. Qu X, Williams JAS (2008) An analytical model for reverse automotive production planning and pricing. Eur J Oper Res 190:756–767MATHCrossRefGoogle Scholar
  33. Ryu K, Jung M (2003) Agent-based fractal architecture and modeling for developing distributed manufacturing systems. Int J Prod Res 41(7):4233–4255CrossRefGoogle Scholar
  34. Ryu K, Son Y, Jung M (2003) Framework for fractal-based supply chain management of e-Biz companies. Prod Plan Control 14(8):720–733CrossRefGoogle Scholar
  35. Sandanayake YG, Oduoza CF, Proverbs DG (2008) A systematic modeling and simulation approach for JIT performance optimization. Robotics Comput Integr Manuf 24:735–743CrossRefGoogle Scholar
  36. Schilli B, Dai F (2006) Collaborative life cycle management between suppliers and OEM. Comput Ind 57:725–731CrossRefGoogle Scholar
  37. Selim H, Araz C, Ozkarahan I (2008) Collaborative production-distribution planning in supply chain: a fuzzy goal programming approach. Transp Res Part E 44:396–419CrossRefGoogle Scholar
  38. Sucky E (2009) The bullwhip effect in supply chains: an overestimated problem? Int J Prod Econ 118:311–322CrossRefGoogle Scholar
  39. Warnecke HJ (1993) The fractal company: a revolution in corporate culture. Springer, BerlinGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Industrial and Management EngineeringPOSTECHPohangRepublic of Korea
  2. 2.Department of Industrial EngineeringPusan National UniversityBusanRepublic of Korea
  3. 3.School of Technology ManagementUNISTUlsanRepublic of Korea

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