Business Process Models for Integrated Supply Chain Planning in Open Business Environment
Affiliation(s)
Department of IT Business Engineering, Daejeon University, Daejeon, Korea. Department of Industrial & Management Engineer- ing, Pohang University of Science & Technology, Pohang, Korea. Manufacturing System Integration Division, National Institute of Standards and Technology, Gaithersburg, Maryland, USA. Postal Technology Research Center, Electronics and Telecommunica- tions Research Institute, Daejeon, Korea. School of Industrial Engineering, Purdue University, West Lafayette, Indiana, USA.
Department of IT Business Engineering, Daejeon University, Daejeon, Korea. Department of Industrial & Management Engineer- ing, Pohang University of Science & Technology, Pohang, Korea. Manufacturing System Integration Division, National Institute of Standards and Technology, Gaithersburg, Maryland, USA. Postal Technology Research Center, Electronics and Telecommunica- tions Research Institute, Daejeon, Korea. School of Industrial Engineering, Purdue University, West Lafayette, Indiana, USA.
ABSTRACT
With advances of several enabling technologies such as web services, ontology, and semantic web, the business envi- ronments are shifting to an open business environment where business applications autonomously share information and coordinate decisions with each other without any human intervention. This open business environment provides supply chains with the opportunity to generate executable supply chain plans, mitigating the inefficiencies of traditional supply chains such as bullwhip effect that is caused by the lack of information sharing. This paper aims to develop business process models that reflect realistic business scenarios and enable integrated supply chain planning in the open business environment. For this purpose, we first classify business patterns based on the types of “request for quotation,” and then business process models are developed for the business patterns using BPMN V1.1.
With advances of several enabling technologies such as web services, ontology, and semantic web, the business envi- ronments are shifting to an open business environment where business applications autonomously share information and coordinate decisions with each other without any human intervention. This open business environment provides supply chains with the opportunity to generate executable supply chain plans, mitigating the inefficiencies of traditional supply chains such as bullwhip effect that is caused by the lack of information sharing. This paper aims to develop business process models that reflect realistic business scenarios and enable integrated supply chain planning in the open business environment. For this purpose, we first classify business patterns based on the types of “request for quotation,” and then business process models are developed for the business patterns using BPMN V1.1.
Cite this paper
H. Jeong, H. Cho, A. Jones, S. Lee and S. Lee, "Business Process Models for Integrated Supply Chain Planning in Open Business Environment," Journal of Service Science and Management, Vol. 5 No. 1, 2012, pp. 1-13. doi: 10.4236/jssm.2012.51001.
H. Jeong, H. Cho, A. Jones, S. Lee and S. Lee, "Business Process Models for Integrated Supply Chain Planning in Open Business Environment," Journal of Service Science and Management, Vol. 5 No. 1, 2012, pp. 1-13. doi: 10.4236/jssm.2012.51001.
References
[1] M. Ghiassi and C. Spera, “Defining the Internet-based Supply Chain System for Mass Customized Markets,” Computers & Industrial Engineering, Vol. 45, No. 1, 2003, pp. 17-41. doi:10.1016/S0360-8352(03)00017-2 [2] A. Gunasekaran and E. W. T. Ngai, “Information Systems in Supply Chain Integration and Management,” European Journal of Operational Research, Vol. 159, No. 2, 2004, pp. 269-295. doi:10.1016/j.ejor.2003.08.016 [3] D. Kim, “Process Chain: A New Paradigm of Collabora- tive Commerce and Synchronized Supply Chain,” Business Horizons, Vol. 49, No. 5, 2006, pp. 359-367. doi:10.1016/j.bushor.2005.11.004 [4] Y. Yao, P. T. Eversb and M. E. Dresnerb, “Supply Chain Integration in Vendor-managed Inventory,” Decision Support Systems, Vol. 43, No. 2, 2007, pp. 663-674. doi:10.1016/j.dss.2005.05.021 [5] H. Lee, V. Padmanabhan and S. Whang, “Information Distortion in a Supply Chain: The Bullwhip Effect,” Man- agement Science, Vol. 43, No. 4, 1997, pp. 546-558. doi:10.1287/mnsc.43.4.546 [6] H. Lee and S. Whang, “Decentralized Multi-Echelon Supply Chains: Incentives and Information,” Management Science, Vol. 45, No. 5, 1999, pp. 633-640. doi:10.1287/mnsc.45.5.633 [7] H. Lee and S. Whang, “Information Sharing in Supply Chain,” International Journal of Technology Management, Vol. 20, No. 3-4, 2000, pp. 373-387. doi:10.1504/IJTM.2000.002867 [8] F. Chen, Z. Drezner, J. K. Ryan and D. Simchi-Levi, “Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information,” Management Science, Vol. 46, No. 3, 2000, pp. 436-443. doi:10.1287/mnsc.46.3.436.12069 [9] M. L. Fisher, “What is the Right Supply Chain for Your Product?” Harvard Business Review, Vol. 75, No. 2, 1997, pp. 105-116. [10] S. Wadhwa, J. John and A. Gandhi, “Managing Innovation in E-business Based Supply Chain Structures: Role of Demo Models,” Studies in Informatics and Control, Vol. 11, No. 3, 2000, pp. 217-231. [11] G. W. Tan and B. Wang, “The Relationship between Product Nature, Demand Patterns and Information Sharing Strategies,” Proceedings 22nd International Confer- ence on Information Systems, New Orleans, 16-19 December 2001, pp. 543-549. [12] Y. Li and G. W. Tan, “Information Sharing in a Supply Chain with Dynamic Consumer Demand Pattern,” Proceedings 37th Annual Hawaii International Conference on System Sciences, Hawaii, 8 January 2004. [13] OMG, “Business Process Modeling Notation, V1.1.” 2008. http://www.omg.org/spec/BPMN/1.1/PDF/ [14] S. Stephens and K. Y. Lezington, “Supply Chain Opera- tions Reference Model Version 5.0: A New Tool to Improve Supply Chain Efficiency and Achieve Best Practice,” Proceedings Workshop on Temperature Measurement of Semiconductor Wafers Using Thermocouples, Gaithersburg, 2001. [15] H. D. Kim, C. K. Park and J. W. Kim, “A Study on Reference Library for Business Collaboration,” Korea Institute of Counseling and Education, Seoul, 2003. [16] RosettaNet, “RosettaNet Standards,” 2010. http://www.rosettanet.org/Standards/RosettaNetStandards/tabid/473/Default.aspx [17] A. Jones, N. Ivezic and M. Gruninger, “Toward Self- Integrating Software Applications for Supply Chain Man- agement,” Information Systems Frontiers, Vol. 3, No. 4, 2001, pp. 403-412. doi:10.1023/A:1012864503148 [18] T. Kobayashi, M. Tamaki and N. Komoda, “Business Process Integration as a Solution to the Implementation of Supply Chain Management Systems,” Information & Man- agement, Vol. 40, 2003, pp. 769-780. doi:10.1016/S0378-7206(02)00102-7 [19] D. Trastour, C. Bartolini and C. Preist, “Semantic Web Support for the Business-to-Business E-Commerce Pre- Contractual Lifecycle,” Computer Networks, Vol. 42, No. 5, 2003, pp. 661-673. doi:10.1016/S1389-1286(03)00229-9 [20] T.-W. Chang, K. Shin and J. Park, “An Application of the Semantic Web for E-business Integration,” The Journal of Korean Institute of CALS/EC, Vol. 10, No. 4, 2005, pp. 19-33. [21] C. Legner and K. Wende, “Towards an Excellence Frame- work for Business Interoperability,” Proceedings 19th Bled eConference eValues, Bled, 5-7 June 2006, Paper 29. [22] Z. M. Shen, “Integrated Supply Chain Design Models: A Survey and Future Research Directions,” Journal of Industrial and Management Optimization, Vol. 3, No. 1, 2007, pp. 1-27. doi:10.3934/jimo.2007.3.1 [23] M. S. Sodhi and C. S. Tang, “Modeling Supply-Chain Planning under Demand Uncertainty Using Stochastic Programming: A Survey Motivated by Asset-Liability Management,” International Journal of Production Eco- nomics, Vol. 121, 2009, pp. 728-738.
[1] M. Ghiassi and C. Spera, “Defining the Internet-based Supply Chain System for Mass Customized Markets,” Computers & Industrial Engineering, Vol. 45, No. 1, 2003, pp. 17-41. doi:10.1016/S0360-8352(03)00017-2 [2] A. Gunasekaran and E. W. T. Ngai, “Information Systems in Supply Chain Integration and Management,” European Journal of Operational Research, Vol. 159, No. 2, 2004, pp. 269-295. doi:10.1016/j.ejor.2003.08.016 [3] D. Kim, “Process Chain: A New Paradigm of Collabora- tive Commerce and Synchronized Supply Chain,” Business Horizons, Vol. 49, No. 5, 2006, pp. 359-367. doi:10.1016/j.bushor.2005.11.004 [4] Y. Yao, P. T. Eversb and M. E. Dresnerb, “Supply Chain Integration in Vendor-managed Inventory,” Decision Support Systems, Vol. 43, No. 2, 2007, pp. 663-674. doi:10.1016/j.dss.2005.05.021 [5] H. Lee, V. Padmanabhan and S. Whang, “Information Distortion in a Supply Chain: The Bullwhip Effect,” Man- agement Science, Vol. 43, No. 4, 1997, pp. 546-558. doi:10.1287/mnsc.43.4.546 [6] H. Lee and S. Whang, “Decentralized Multi-Echelon Supply Chains: Incentives and Information,” Management Science, Vol. 45, No. 5, 1999, pp. 633-640. doi:10.1287/mnsc.45.5.633 [7] H. Lee and S. Whang, “Information Sharing in Supply Chain,” International Journal of Technology Management, Vol. 20, No. 3-4, 2000, pp. 373-387. doi:10.1504/IJTM.2000.002867 [8] F. Chen, Z. Drezner, J. K. Ryan and D. Simchi-Levi, “Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information,” Management Science, Vol. 46, No. 3, 2000, pp. 436-443. doi:10.1287/mnsc.46.3.436.12069 [9] M. L. Fisher, “What is the Right Supply Chain for Your Product?” Harvard Business Review, Vol. 75, No. 2, 1997, pp. 105-116. [10] S. Wadhwa, J. John and A. Gandhi, “Managing Innovation in E-business Based Supply Chain Structures: Role of Demo Models,” Studies in Informatics and Control, Vol. 11, No. 3, 2000, pp. 217-231. [11] G. W. Tan and B. Wang, “The Relationship between Product Nature, Demand Patterns and Information Sharing Strategies,” Proceedings 22nd International Confer- ence on Information Systems, New Orleans, 16-19 December 2001, pp. 543-549. [12] Y. Li and G. W. Tan, “Information Sharing in a Supply Chain with Dynamic Consumer Demand Pattern,” Proceedings 37th Annual Hawaii International Conference on System Sciences, Hawaii, 8 January 2004. [13] OMG, “Business Process Modeling Notation, V1.1.” 2008. http://www.omg.org/spec/BPMN/1.1/PDF/ [14] S. Stephens and K. Y. Lezington, “Supply Chain Opera- tions Reference Model Version 5.0: A New Tool to Improve Supply Chain Efficiency and Achieve Best Practice,” Proceedings Workshop on Temperature Measurement of Semiconductor Wafers Using Thermocouples, Gaithersburg, 2001. [15] H. D. Kim, C. K. Park and J. W. Kim, “A Study on Reference Library for Business Collaboration,” Korea Institute of Counseling and Education, Seoul, 2003. [16] RosettaNet, “RosettaNet Standards,” 2010. http://www.rosettanet.org/Standards/RosettaNetStandards/tabid/473/Default.aspx [17] A. Jones, N. Ivezic and M. Gruninger, “Toward Self- Integrating Software Applications for Supply Chain Man- agement,” Information Systems Frontiers, Vol. 3, No. 4, 2001, pp. 403-412. doi:10.1023/A:1012864503148 [18] T. Kobayashi, M. Tamaki and N. Komoda, “Business Process Integration as a Solution to the Implementation of Supply Chain Management Systems,” Information & Man- agement, Vol. 40, 2003, pp. 769-780. doi:10.1016/S0378-7206(02)00102-7 [19] D. Trastour, C. Bartolini and C. Preist, “Semantic Web Support for the Business-to-Business E-Commerce Pre- Contractual Lifecycle,” Computer Networks, Vol. 42, No. 5, 2003, pp. 661-673. doi:10.1016/S1389-1286(03)00229-9 [20] T.-W. Chang, K. Shin and J. Park, “An Application of the Semantic Web for E-business Integration,” The Journal of Korean Institute of CALS/EC, Vol. 10, No. 4, 2005, pp. 19-33. [21] C. Legner and K. Wende, “Towards an Excellence Frame- work for Business Interoperability,” Proceedings 19th Bled eConference eValues, Bled, 5-7 June 2006, Paper 29. [22] Z. M. Shen, “Integrated Supply Chain Design Models: A Survey and Future Research Directions,” Journal of Industrial and Management Optimization, Vol. 3, No. 1, 2007, pp. 1-27. doi:10.3934/jimo.2007.3.1 [23] M. S. Sodhi and C. S. Tang, “Modeling Supply-Chain Planning under Demand Uncertainty Using Stochastic Programming: A Survey Motivated by Asset-Liability Management,” International Journal of Production Eco- nomics, Vol. 121, 2009, pp. 728-738.