Abstract
We are experiencing a digital revolution that is rapidly changing the way business is conducted. In this new economy, information is shared speedily and many participants are collaborating. Effective and seamless collaboration between distributed supply chain members is therefore crucial. To understand how this may be done, we describe a knowledge based framework for abstracting, enriching, analysing and improving supply chain models. We employ business process modelling as a useful methodology for capturing and analysing supply chain strategies. In addition, we use a meta-interpreter and workflow engine for simulating business processes to help understand business scenarios. Its declarative approach makes business rationale more transparent. Our work is demonstrated by looking at a case study of Dell’s supply chain management that depicts its PC supply chain operation logics and strategies.
This is a preview of subscription content, log in via an institution to check access.
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
Brynjolfsson, E., Kahin, B.: Understanding the Digital Economy: Data, Tools, and Research. MIT Press, Cambridge (2000)
Sharma, S.K.: Socio-Economic Impacts and Influences of E-Commerce in a Digital Economy. In: Kehal, H., Singh, V. (eds.) Digital economy: Impacts, influences and challenges, ch. 1. Idea Group Publishing, London (2005)
Lambert, D.M., Cooper, M.C.: Issues in Supply Chain Management. Industrial Marketing Management 29, 65–83 (2000)
Storey, J., Emberson, C., Godsell, J., Harrison, A.: Supply chain management: theory, practice and future challenges. Int. Journal of Operations & Production Management 26(7), 754–774 (2006)
Harrison, A., van Hoek, R.: Logistics Management and Strategy: Competing Through the Supply Chain. Prentice Hall, FT (2008)
Simatupang, T.M., Wright, A.C., Sridharan, R.: The knowledge of coordination for supply chain integration. Business Process Management J. 8(3), 289–308 (2002)
Magretta, J.: The power of virtual integration: An interview with Dell Computer’s Michael Dell. Harvard Business Review 76(2), 73–84 (1998)
Fugate, B.S., Mentzer, J.T.: Dell’s Supply Chain DNA. Supply Chain Management Review 8, 20–24 (2004)
Kalpic, B., Bernus, P.: Business process modelling in industry - the powerful tool in enterprise management. Computers in Industry 47(3), 299–318 (2002)
Georgakopoulos, D., Hornick, M., Sheth, A.: An Overview of Workflow Management: From Process Modeling to Workflow Automation Infrastructure. Distributed and Parallel Databases 3(2), 119–153 (1995)
Mentzas, G., Halaris, C., Kavadias, S.: Modelling business processes with workflow systems: an evaluation of alternative approaches. Int. J. Information Management 21(2), 123–135 (2001)
Chen-Burger, Y.-H., Tate, A., Robertson, D.: Enterprise Modelling: A Declarative Approach for FBPML. In: Knowledge Management and Organisational Memories Workshop, Proceedings of the 15th ECAI Conference. IOS Press, Amsterdam (2002)
Chen-Burger, Y.-H., Stader, J.: Formal Support for Adaptive Workflow Systems in a Distributed Environment. In: Fischer, L. (ed.) Workflow Handbook 2003, pp. 93–118. Future Strategies Inc., Florida (2003)
Malone, T.W., Crowston, K., Herman, G.A.: Organizing Business Knowledge: The MIT Process Handbook. MIT Press, Cambridge (2003)
MIT Process Handbook, http://process.mit.edu/Activity.asp?ID=990929112221UF15790
Manataki, A.: A Knowledge-Based Analysis and Modelling of Dell’s Supply Chain Strategies. MSc Thesis, School of Informatics, University of Edinburgh (2007), http://www.inf.ed.ac.uk/publications/thesis/online/IM070456.pdf
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Manataki, A., Chen-Burger, YH. (2009). Analysing Supply Chain Strategies Using Knowledge-Based Techniques. In: Håkansson, A., Nguyen, N.T., Hartung, R.L., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2009. Lecture Notes in Computer Science(), vol 5559. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01665-3_70
Download citation
DOI: https://doi.org/10.1007/978-3-642-01665-3_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01664-6
Online ISBN: 978-3-642-01665-3
eBook Packages: Computer ScienceComputer Science (R0)