Skip to main content

Advertisement

Log in

Digital manufacturing market: a semantic web-based framework for agile supply chain deployment

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

Abstract

Manufacturing Market is a market in which manufacturing process capacity is the object of trade. In a market, units of capacity, represented as manufacturing services, can be acquired as needed and when needed, thus making supply chains more responsive to fluctuations in supply and demand. Although Manufacturing Market can be built physically as a spot market, its benefits can be better realized in a web-based framework. We refer to the web-based version of Manufacturing Market as Digital Manufacturing Market (DMM). The major challenges in deployment of a virtual market for manufacturing services include standard representation of manufacturing needs and capabilities, incorporation of intelligent supplier search and evaluation mechanism, and automation of supply chain configuration process. This paper introduces DMM through its major components including a multi-agent framework, a formal ontology for representation of manufacturing services as well as a matchmaking methodology used for connecting buyers and sellers of manufacturing services based on their semantic similarities. The ultimate goal of the proposed framework is to enable autonomous deployment of manufacturing supply chains based on the specific technological requirements defined by particular work orders.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Al-Mutawah K., Lee V., Cheung Y. (2009) A new multi-agent system framework for tacit knowledge management in manufacturing supply chains. Journal of Intelligent Manufacturing 20(5): 593–610

    Article  Google Scholar 

  • Ameri F., Summers J. D. (2008) An Ontology for Representation of Fixture Design Knowledge. Computer Aided Design and Applications 5(5): 601–611

    Google Scholar 

  • Arisha K. A., Ozcan F., Ross R., Subrahmanian V. S., Eiter T., Kraus S. (1999) Impact: A platform for collaborating agents. IEEE Intelligent Systems & Their Applications 14(2): 64–72

    Article  Google Scholar 

  • Blomqvist E., Levashova T., Ohgren A., Sandkuhl K., Smirnov A., Tarassov V. (2005) Configuration of dynamic SME supply chains based on ontologies. Holonic and Multi-Agent Systems for Manufacturing, Proceedings 3593: 246–256

    Article  Google Scholar 

  • Brown K. N., McMahon C. A., Sims Williams J. H. (1996) Describing process plans as the formal semantics of a language of shape. Artificial Intelligence in Engineering 10(2): 153–169

    Article  Google Scholar 

  • Chamodrakas I., Batis D., Martakos D. (2010) Supplier selection in electronic marketplaces using satisficing and fuzzy AHP. Expert Systems with Applications 37(1): 490–498

    Article  Google Scholar 

  • Chira O., Chira C., Roche T., Tormey D., Brennan A. (2006) An agent-based approach to knowledge management in distributed design. Journal of Intelligent Manufacturing 17(6): 737–750

    Article  Google Scholar 

  • Davulcu, H., Kifer, M., Pokorny, L. R., Ramakrishnan, C. R., Ramakrishnan, I. V., & Dawson, S. (1999). Modeling and analysis of interactions in virtual enterprises. In Ride-Ve ‘99—ninth international workshop on research issues on data engineering: Information technology for virtual enterprises, Proceedings, pp. 12–18.

  • Deshayes L. M., Beqqali O. E., Bouras A. (2005) The use of process specification language for cutting processes. International Journal of Product Development 2(3): 236–253

    Google Scholar 

  • Emiliani M. L. (2004) Sourcing in the global aerospace supply chain using online reverse auctions. Industrial Marketing Management 33(1): 65–72

    Article  Google Scholar 

  • Franz Baader D. C., McGuinness D., Nardi D., Patel-Schneider P. (2003) The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, Cambridge

    Google Scholar 

  • Gruber T. R. (1995) Toward principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computer Studies 43(5-6): 907–928

    Article  Google Scholar 

  • Karpowitz D., Cox J., Humpherys J., Warnick S. (2008) A dynamic workflow framework for mass customization using web service and autonomous agent techniques. Journal of Intelligent Manufacturing 19(5): 537–552

    Article  Google Scholar 

  • Kulvatunyou B., Hyunbo C., Young Jun S. (2005) A semantic web service framework to support intelligent distributed manufacturing. International Journal of Knowledge-Based and Intelligent Engineering Systems 9(2): 107–127

    Google Scholar 

  • Kupkka D., Harada L. (1995) On using KQML for matchmaking. Menlo Park, CA, USA

    Google Scholar 

  • Lee, J. H., & Suh, H. W. (2005). OWL-based hybrid product knowledge model for collaborative engineering environment. In Proceedings of the ASME international design engineering technical conferences and computers and information in engineering conference 2005, Vol. 3, Pts A and B, pp. 877–885.

  • Lee M., Yoon H., Shin H., Lee D. (2009) Intelligent dynamic workflow support for a ubiquitous Web service-based manufacturing environment. Journal of Intelligent Manufacturing 20(3): 295–302

    Article  Google Scholar 

  • Mocko, G. M., Rosen, D. W., & Mistree, F. (2008). Decision retrieval and storage enabled through description logic. In 27th computers and information in engineering conference, Vol. 2, Pts a and B 2007, pp. 875–885.

  • Molina A., Bell R. (1999) A manufacturing model representation of a flexible manufacturing facility. Proceedings of the institution of mechanical engineers, part B (Journal of Engineering Manufacture) 213(B3): 225–246

    Article  Google Scholar 

  • Moon S. K., Simpson T. W., Kumara S. R. T. (2009) An agent-based recommender system for developing customized families of products. Journal of Intelligent Manufacturing 20(6): 649–659

    Article  Google Scholar 

  • Nejad H.T.N., Sugimura N., Iwamura K., Tanimizu Y. (2010) Multi agent architecture for dynamic incremental process planning in the flexible manufacturing system. Journal of Intelligent Manufacturing 21(4): 487–499

    Article  Google Scholar 

  • Neubert G., Ouzrout Y., Bouras A. (2004) Collaboration and integration through information technologies in supply chains. International Journal of Technology Management 28(2): 259–273

    Article  Google Scholar 

  • Parunak H. V. D., Sauter J., Fleischer M., Ward A. (1999) The RAPPID project: symbiosis between industrial requirements and MAS research. Autonomous Agents and Multi-Agent Systems 2(2): 111–140

    Article  Google Scholar 

  • Rada R., Mili H., Bicknell E., Blettner M. (1989) Development and application of a metric on semantic nets. IEEE Transactions on Systems Man and Cybernetics 19(1): 17–30

    Article  Google Scholar 

  • Resnik P. (1999) Semantic similarity in a taxonomy: An information-based measure and its application to problems of ambiguity in natural language. Journal of Artificial Intelligence Research 11: 95–130

    Google Scholar 

  • Studer R., Benjamins V. R., Fensel D. (1998) Knowledge engineering: principles and methods. Data & Knowledge Engineering 25(1-2): 161–197

    Article  Google Scholar 

  • Sycara K., Lu J., Klusch M. (1998) Interoperability among heterogeneous software agents on the internet. Carnegie Mellon University, Pittsburgh

    Google Scholar 

  • Tversky A. (1977) Features of similarity. Psychological Review 84(4): 327–352

    Article  Google Scholar 

  • Udoyen, N., & Rosen, D. (2008). Description logic representation of finite element analysis models for automated retrieval. Journal of Computing and Information Science in Engineering, 8(3), 031002, 10 pp.

    Google Scholar 

  • Uschold M., Gruninger M. (2004) Ontologies and semantics for seamless connectivity. Sigmod Record 33(4): 58–64

    Article  Google Scholar 

  • Vujasinovic M., Ivezic N., Kulvatunyou B., Barkmeyer E., Missikoff M., Taglino F. et al (2009) A semantic-mediation architecture for interoperable supply-chain applications. International Journal of Computer Integrated Manufacturing 22(6): 549–561

    Article  Google Scholar 

  • White, W. J., O’Connor, A. C., & Rowe, B. R. (2004). Economic impact of inadequate infrastructure of supply chain integration. : (Technical Report): National Institute of Standards and Technology (NIST).

  • Ye Y., Yang D., Jiang Z. B., Tong L. X. (2008) Ontology-based semantic models for supply chain management. International Journal of Advanced Manufacturing Technology 37(11-12): 1250–1260

    Article  Google Scholar 

  • Zhang Y., Feng S. C., Wang X., Tian W., Ruirong W. (1999) Object oriented manufacturing resource modelling for adaptive process planning. International Journal of Production Research 37(18): 4179–4195

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Farhad Ameri.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ameri, F., Patil, L. Digital manufacturing market: a semantic web-based framework for agile supply chain deployment. J Intell Manuf 23, 1817–1832 (2012). https://doi.org/10.1007/s10845-010-0495-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10845-010-0495-z

Keywords

Navigation