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.
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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
Ameri F., Summers J. D. (2008) An Ontology for Representation of Fixture Design Knowledge. Computer Aided Design and Applications 5(5): 601–611
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
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
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
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
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
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
Emiliani M. L. (2004) Sourcing in the global aerospace supply chain using online reverse auctions. Industrial Marketing Management 33(1): 65–72
Franz Baader D. C., McGuinness D., Nardi D., Patel-Schneider P. (2003) The Description Logic Handbook: Theory, Implementation and Applications. Cambridge University Press, Cambridge
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
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
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
Kupkka D., Harada L. (1995) On using KQML for matchmaking. Menlo Park, CA, USA
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
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
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
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
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
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
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
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
Studer R., Benjamins V. R., Fensel D. (1998) Knowledge engineering: principles and methods. Data & Knowledge Engineering 25(1-2): 161–197
Sycara K., Lu J., Klusch M. (1998) Interoperability among heterogeneous software agents on the internet. Carnegie Mellon University, Pittsburgh
Tversky A. (1977) Features of similarity. Psychological Review 84(4): 327–352
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.
Uschold M., Gruninger M. (2004) Ontologies and semantics for seamless connectivity. Sigmod Record 33(4): 58–64
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
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
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
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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
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DOI: https://doi.org/10.1007/s10845-010-0495-z