- -

A survey on supply chain ontologies

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

A survey on supply chain ontologies

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Samaridi, Nikoletta E. es_ES
dc.contributor.author Karanikolas, Nikitas N. es_ES
dc.contributor.author Papoutsidakis, Michail es_ES
dc.contributor.author Papakitsos, Evangelos C. es_ES
dc.contributor.author Papakitsos, Christos E. es_ES
dc.date.accessioned 2023-02-08T09:17:10Z
dc.date.available 2023-02-08T09:17:10Z
dc.date.issued 2023-01-31
dc.identifier.uri http://hdl.handle.net/10251/191719
dc.description.abstract [EN] Nowadays, the business area cannot be sustainable and efficient without the presence of the Supply Chain. However, Supply Chain Management is by no means an easy task. Experts, in their effort to achieve the most efficient Supply Chain Management, have turned their attention to the management of knowledge related to supply chains. Thus, they model the concepts and the semantic relationships between them in Supply Chain Networks and create conceptual models and ontologies. In this paper, a survey of the existing ontologies in this field is carried out, with the aim of creating a new ontology of the Supply Chain that will unify its structural elements and lead to the integration of all supply systems. For this purpose, 22 ontological models from different supply systems, from over 90 sources, have been collected, briefly presented and commented on. These models, although being an intersection in the effort to model business operations and delineate a good basis for businesses to engage in Logistics processes, they lack an adequate formulation of appropriate semantics and terminology to describe all the different functions of the Supply Chain. Consequently, this lack inevitably leads to incompatible interpretations and uses of the knowledge that results from intercompany transactions. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof International Journal of Production Management and Engineering es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Supply Chain es_ES
dc.subject Logistics es_ES
dc.subject Conceptual modeling es_ES
dc.subject Ontology es_ES
dc.subject Integration es_ES
dc.title A survey on supply chain ontologies es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/ijpme.2023.18702
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Samaridi, NE.; Karanikolas, NN.; Papoutsidakis, M.; Papakitsos, EC.; Papakitsos, CE. (2023). A survey on supply chain ontologies. International Journal of Production Management and Engineering. 11(1):89-101. https://doi.org/10.4995/ijpme.2023.18702 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/ijpme.2023.18702 es_ES
dc.description.upvformatpinicio 89 es_ES
dc.description.upvformatpfin 101 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 11 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2340-4876
dc.relation.pasarela OJS\18702 es_ES
dc.description.references Achatbi, I., Amechnoue, K., & Aoulad Allouch, S. (2018). An Ontology Based Approach to Organize Supplier and Transportation Provider Selection Negotiation in Multi-agent System Model. In M. Ezziyyani, M. Bahaj & F. Khoukhi (eds.), Advanced Information Technology, Services and Systems. AIT2S 2017. Lecture Notes in Networks and Systems, vol 25. Cham: Springer. https://doi.org/10.1007/978-3-319-69137-4_13 es_ES
dc.description.references Anand, N., Yang, M., Van Duin, J. H. R., & Tavasszy, L. (2012). Genclon: An ontology for city logistics. Expert Syst. Appl., 39(15), 11944–11960. https://doi.org/10.1016/j.eswa.2012.03.068 es_ES
dc.description.references Anand, N., Duin, J.H.R.V., & Tavasszy, L. (2016). Framework for Modelling Multi-stakeholder City Logistics Domain Using the Agent based Modelling Approach. Transportation Research Procedia, 16: 4-15. https://doi.org/10.1016/j.trpro.2016.11.002 es_ES
dc.description.references Blaj, A., Lambert, A., Lambert, C., Mulder, H., & Sauv, D. (2020). ONE Record: One step closer to digital cargo with ontologies and linked data. In the 19th International Semantic Web Conference on Demos and Industry Tracks: From Novel Ideas to Industrial Practice, ISWC-Posters 2020 (Vol. 2721, 2020, pp. 384-385); Virtual, Online; 1-6 November 2020. es_ES
dc.description.references Bruno, G., Antonelli, D., & Villa, A. (2015). A reference ontology to support product lifecycle management. Procedia CIRP 2015, 33: 41-46. https://doi.org/10.1016/j.procir.2015.06.009 es_ES
dc.description.references Cao, M., Luo, X., Luo, X., & Dai, X. (2015). Automated negotiation for e-commerce decision making: A goal deliberated agent architecture for multi-strategy selection. Decision Support Systems, 73 (May 2015), 1-14. https://doi.org/10.1016/j.dss.2015.02.012 es_ES
dc.description.references Chandra, C., & Tumanyan, A. (2007). Organization and problem ontology for supply chain information support system. Data & Knowledge Engineering, 61(2), 263–280. https://doi.org/10.1016/j.datak.2006.06.005 es_ES
dc.description.references Chaudhuri, A., Boer, H., Taran, Y. (2018). Supply chain integration, risk management and manufacturing flexibility. International Journal of Operations & Production Management, 38(3), January 2018. DOI: 10.1108/IJOPM-08-2015-0508 es_ES
dc.description.references Christopher, M. (1992). Logistics and Supply Chain Management. London: Pearson Education. es_ES
dc.description.references CLM (1998). The Mission Section (on line). Council of Logistics Management. http:// www.clm 1 .org/mission.html es_ES
dc.description.references Daniele, L.M., & Pires, L. F. (2013). An ontological approach to logistics. Enterprise Interoperability, Research and Applications in the Service-oriented Ecosystem. In IWEI'13 Proceedings, Enschede, the Netherlands (May 2013). In book: Enterprise Interoperability, ISTE Ltd., 2014 (pp. 199-213). Surrey: John Wiley & Sons, Inc. DOI: 10.1002/9781118846995.ch21 es_ES
dc.description.references Dewey, A., & Drahota, A. (2016). Introduction to systematic reviews: online learning module. Cochrane Training. https://training.cochrane.org/interactivelearning/module-1-introduction-conducting-systematic-review es_ES
dc.description.references Dorofeev, A., Altukhova, N., Filippova, N., Pashkova, T., & Ponomarev, M. (2020). Development of Transportation Management System with the Use of Ontological and Architectural Approaches to Ensure Trucking Reliability. Sustainability, 12(20), 8504. https://doi.org/10.3390/su12208504 es_ES
dc.description.references Durach, C.F., Kembro, J., & Wieland, A. (2017). A New Paradigm for Systematic Literature Reviews in Supply Chain Management. Journal of Supply Chain Management, 53(4), 67–85. https://doi.org/10.1111%2Fjscm.12145 es_ES
dc.description.references Engel, T., Bhat, M., Vasudhara, V., Goswami, S., & Krcmar, H. (2014). An Ontology-based Platform to Collaboratively Manage Supply Chains. In 25th Annual Conference of the Production and Operations Management Society (POMS), pp. 1–10. https://www.pomsmeetings.org/confpapers/051/051-0705.pdf es_ES
dc.description.references Fadel, F.G., Fox, M.S., & Gruninger, M. (1994). A generic enterprise resource ontology. In Proceedings of the Third IEEE Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, West Virginia (WET ICE’94), April, 1994, pp. 117–128. DOI: 10.1109/ENABL.1994.330496 es_ES
dc.description.references Fayez, F., Rabelo, L., & Mollaghasemi, M. (2005). Ontologies for Supply Chain Simulation Modeling. In M.E. Kuhl, N.M. Steiger, F.B. Armstrong & J.A. Joines (eds.), 2005 Winter Simulation Conference (pp. 2364-2370). https://informs-sim.org/wsc05papers/296.pdf es_ES
dc.description.references Fox, M.S., Barbuceanu, M., & Gruninger, M. (1996). An organization ontology for enterprise modelling: preliminary concepts for linking structure and behaviour. Computers in Industry, 29(1–2), 123–134. https://doi.org/10.1016/0166-3615(95)00079-8 es_ES
dc.description.references Fox, M.S., & Gruninger, M. (1998). Enterprise modeling. AI Magazine, Fall 1998, 109–121. es_ES
dc.description.references Fox, M.S., Barbuceanu, M., Gruninger, M., & Lin, J. (1998). An organization ontology for enterprise modelling. In M. Prietula, K. Carley, L. Gasser (Eds.), Simulating Organizations: Computational Models of Institutions and Groups (pp. 131–152), AAAI/MIT Press, Menlo Park, 1998. es_ES
dc.description.references Foxvog, D., & Bussler, C. (2005). Ontologizing EDI: First Steps and Initial Experience. In IEEE International Workshop on Data Engineering Issues in E-Commerce (DEEC 2005), pp. 49-58. IEEE Computer Society, Los Alamitos, 2005. https://doi.org/10.1109/DEEC.2005.13 es_ES
dc.description.references Geerts, G. L., & O’Leary, D. E. (2014). A supply chain of things: The EAGLET ontology for highly visible supply chains. Decision Support Systems, 63(2014), 3–22. https://doi.org/10.1016/j.dss.2013.09.007 es_ES
dc.description.references Glöckner, M., & Ludwig, A. (2016). LoSe ODP - An Ontology Design Pattern for Logistics Services. In Workshop on Ontology and Semantic Web Patterns (7th edition), Pascal Hitzler, Karl Hammer, Monika Solanki, Agnieszka Lawrynowicz, Andrea Nuzzolese, and Adila Krisnadhi (Eds.). http: //ontologydesignpatterns.org/wiki/images/f/fb/WOP2016_paper_14.pdf es_ES
dc.description.references Glöckner, M., & Ludwig, A. (2017). Ontological structuring of logistics services. In Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017 (pp. 146-153). DOI: 10.1145/3106426.3106538 es_ES
dc.description.references Gonnet, S., Vegetti, M., Leone, H., & Henning, G. (2006). SCOntology: A formal approach toward a unified and integrated view of the supply chain (Book Chapter). In Adaptive Technologies and Business Integration: Social, Managerial and Organizational Dimensions (pp. 137-158). DOI: 10.4018/978-1-59904-048-6.ch007 es_ES
dc.description.references Grubic, Τ., & Fan, S. (2010). Supply chain ontology: Review, analysis and synthesis. Computers in Industry, 61(8), 776-786. https://doi.org/10.1016/j.compind.2010.05.006 es_ES
dc.description.references Ha, J., Wei, Y., & Jin, Y. (2008). Logistics decision-making support system based on ontology process. Int. Symp. Comput. Intell. Des., 2008, 309–312. http://dx.doi.org/10.1109/ISCID.2008.128 es_ES
dc.description.references Haller, A., Gontarczyk, J., & Kotinurm, P. (2008). Towards a complete SCM ontology: the case of ontologising RosettaNet. In Proceedings of the 2008 ACM Symposium on Applied Computing, SAC '08Fortaleza (pp. 1467-1473), Ceara, Brazil, March 16 - 20, 2008. DOI: 10.1145/1363686.1364029 es_ES
dc.description.references Han, J., Miller, J. A., & Silver, G. A. (2011). Sopt: Ontology for simulation optimization for scientific experiments. In Proceedings of the Winter Simulation Conference, WSC ’11 (pp. 2914–2925), Winter Simulation Conference. es_ES
dc.description.references Harland, C.M., Lamming, R.C., Zheng, J., & Johnsen, T.E. (2001). A Taxonomy of Supply Networks. J. of Supply Chain Management, Fall, 21-27. DOI: 10.1111/j.1745-493X.2001.tb00109.x es_ES
dc.description.references Haugen, R., & McCarthy, W.E. (2000). REA, a semantic model for Internet supply chain collaboration. In OOPSALA 2000 Business Objects and Component Design and Implementation Workshop VI: Enterprise Application Integration 2000. http://www.jeffsutherland.org/oopsla2000/mccarthy/mccarthy.htm es_ES
dc.description.references Hellenic Logistics Society - Thessaloniki Branch (2005). What is Logistics? Available at: http://www.logistics.org.gr (in Greek). es_ES
dc.description.references Hendi, H., Ahmad, A., Bouneffa, M., & Fonlupt, C. (2014). Logistics Optimization Using Ontologies. In Proceedings of ICCSA 2014, Jun 2014, Le Havre, France. ffhal-01651950ff. es_ES
dc.description.references Hepp, M. (2008). Good Relations: An Ontology for Describing Products and Services Offers on the Web. In EKAW, 2008, pp. 332-347. DOI: 10.1007/978-3-540-87696-0_29 es_ES
dc.description.references Hoxha, J., Scheuerman, A., & Bloehdorn, S. (2010). An approach to formal and semantic representation of logistics services. In K. Schill, B. Scholz-Reiter & L. Frommberger (eds.), Proceedings of the Workshop on Artificial Intelligence and Logistics (AILog) at the 19th European Conference on Artificial Intelligence (ECAI 2010), pp. 73–78, Lisbon, Portugal, published online. es_ES
dc.description.references Huang, G. Q., Lau, J. S. K., & Mak., K. L. (2003). The Impacts of Sharing Production Information on Supply Chain Dynamics: a review of the literature. International Journal of Production Research, 41(7), 1483-1517. https://doi.org/10.1080/0020754031000069625 es_ES
dc.description.references Huang, S. H., Sheoran, S. K., & Keskar, H. (2005). Computer-assisted supply chain configuration based on supply chain operations reference (SCOR) model. Computers & Industrial Engineering, 48, 377-394. DOI: 10.1016/j.cie.2005.01.001 es_ES
dc.description.references Jiao, J.X., You, X., & Kumar, A. (2006). An agent-based framework for collaborative negotiation in the global manufacturing supply chain network. Robotics and Computer-Integrated Manufacturing, 22(3), 239-255. https://doi.org/10.1016/j.rcim.2005.04.003 es_ES
dc.description.references Kim, H.M., Fox, M.S., & Gruninger, M. (1999). An ontology for quality management-enabling quality problem identification and tracing. BT Technology Journal, 17(4), 131–140. DOI: 10.1023/A:1009611528866 es_ES
dc.description.references Knoll, D., Waldmann, J., & Reinhart, G. (2019). Developing an internal logistics ontology for process mining. Science Direct, Procedia CIRP, 79, 427-432. https://doi.org/10.1016/j.procir.2019.02.116 es_ES
dc.description.references Koç, H., Lantow, B., & Sandkuhl, Κ. (2014). Ontology Development for Intelligent Information Logistics in Transportation. In Proceedings of the 2nd International Workshop on Ontologies and Information Systems co-located with 13th International Conference on Perspectives in Business Informatics Research, WOIS@BIR 2014, CEUR-WS, 2014 (pp. 2-17). Lund, Sweden, September 22nd, 2014. Retrieved January 2021 from: http://ceur-ws.org/Vol-1230/paper-01.pdf es_ES
dc.description.references Kumar, H, & Park, P. (2010). Know-ont: a knowledge ontology for an enterprise in an industrial domain. International Journal of Database Theory and Application, 3(1), 23-32. es_ES
dc.description.references Lambert, D. (2004).The Eight Essential Supply Chain Management Processes. Supply Chain Management Review, 8(6), 18-26, January 2004. es_ES
dc.description.references Lambert, D.M, Emmelhainz, M.A, & Gardner, J.T. (1999). Building successful logistics partnerships. Journal of Business Logistics, 20(1), 165-181. es_ES
dc.description.references Larson, P., & Halldorsson, A. (2004). Logistics versus supply chain management: An international survey. International Journal of Logistics Research and Applications, 7(1), 17–31. DOI: 10.1080/13675560310001619240 es_ES
dc.description.references Lee, T., Lee, I.H., Lee, S., Lee, S.G., Kim, D., & Chun J. et al. (2006). Building an operational product ontology system. Electronic Commerce Research and Application, 5(1), 16-28. DOI: 10.1016/j.elerap.2005.08.005 es_ES
dc.description.references Lemaignan, S., Siadat, A., Dantan, J.-Y., & Semenenko, A. (2006). MASON: A proposal for an ontology of manufacturing domain. In IEEE Work-shop on Distributed Intelligent Systems (DIS), pp. 195-200. Retrieved from: https://academia.skadge.org/publis/Lemaignan2006.pdf es_ES
dc.description.references Leukel, J., Hepp, M., Schmitz, V., & Tribowski, C. (2006). Ontologizing B2B Message Specifications: Experiences from Adopting the PLIB Ontology for Commercial Product Data. In IEEE International Conference on e-Business Engineering (ICEBE 2006), pp. 146-153. IEEE Computer Society, Los Alamitos, 2006. DOI: 10.1109/ICEBE.2006.76 es_ES
dc.description.references Leukel, J., & Kirn, S. (2008). A supply chain management approach to logistics ontologies in information systems. In W. Abramowicz & D. Fensel (eds.), Business Information Systems (vol. 7 of Lecture Notes in Business Information Processing, pp. 95–105). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-540-79396-0_9 es_ES
dc.description.references Lin, J., Fox, M.S., & Bilgic, T. (1996). A requirement ontology for engineering design. In Proceedings of the 3rd International Conference on Concurrent Engineering, pp. 343–351. es_ES
dc.description.references Lin, H.K., Harding, J.A., & Shahbaz, M. (2004). Manufacturing system engineering ontology for semantic interoperability across extended project teams. International Journal of Production Research, 42(24), 5099–5118. https://doi.org/10.1080/00207540412331281999 es_ES
dc.description.references Lin, H. K, & Harding, J. A. (2007). A manufacturing system engineering ontology model on the semantic web for interenterprise collaboration. Computers in Industry, 58(2007), 428-437. https://doi.org/10.1016/j.compind.2006.09.015 es_ES
dc.description.references Lu, Y., Panetto, H., Ni, Y., & Gu, X. (2012). Ontology alignment for networked enterprise information system interoperability in supply chain environment. International Journal of Computer Integrated Manufacturing, 26(1-2), 1-12. https://doi.org/10.1080/0951192X.2012.681917 es_ES
dc.description.references Madni, A.M., Lin, W., & Madni, C.C. (2001). IDEONTM: an extensible ontology for designing, integrating and managing collaborative distributed enterprises. Systems Engineering, 4(1), 35–48. https://doi.org/10.1002/1520-6858(2001)4:1<35::AID-SYS4>3.0.CO;2-F es_ES
dc.description.references Marbert, V.A., & Venkataramanan, M.A. (1998). Special Research Focus on Supply Chain Linkages: Challenges for Design and Management in the 21st Century. Decision Sciences, 29(3), S. 537-551. https://doi.org/10.1111/j.1540-5915.1998.tb01353.x es_ES
dc.description.references Marra, M., Ho, W., & Edwards, J. S. (2012). Supply chain knowledge management: A literature review. Expert Systems with Applications, 39(5), 6103-6110. DOI: 10.1016/j.eswa.2011.11.035 es_ES
dc.description.references Memon, M.A., Letouzey, A., Karray, M.H., & Archimède, B. (2014). Collaborating Multiple 3PL Enterprises for Ontology-Based Interoperable Transportation Planning. In K. Mertins, F. Bénaben, R. Poler, J.P. Bourrières (eds.), Enterprise Interoperability VI. Proceedings of the I-ESA Conferences, vol 7. Cham: Springer. https://doi.org/10.1007/978-3-319-04948-9_27 es_ES
dc.description.references Mentzer, J.T., DeWitt, W., Keebler, J.S., Min, S., Nix, N.W., Smith, C.D., & Zacharia, Z.G. (2001). Defining Supply Chain Management. Journal of Business Logistics, 22, 1-25. https://doi.org/10.1002/j.2158-1592.2001.tb00001.x es_ES
dc.description.references Merdan, M., Koppensteiner, G., Hegny, I., & Favre-Bulle, B. (2008). Application of an ontology in a transport domain. Industrial Technology, 2008, 1-6. DOI: 10.1109/ICIT.2008.4608572 es_ES
dc.description.references Moussas, V. J. T., & Tsahalis, H.T. (2013). Design of an ontology for simulation workflow optimization. In the 5th International Conference on Experiments/Process/System Modeling/Simulation/Optimization, 2013. es_ES
dc.description.references Muñoz, E., Capón, E., Laínez, J.M., Espuæa, A., & Puigjaner, L. (2001). Ontological framework for the enterprise from a process perspective: Operational, tactical and strategic integration for improved decision-making. In KEOD 2011 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development, pp. 538-546. es_ES
dc.description.references Muñoz, E., Capón-García, E., Hungerbühler, K., Espuña, A., & Puigjaner, L. (2013). Decision making support based on a process engineering ontology for waste treatment plant optimization. Chemical Engineering Transactions, 32, 277-282. https://doi.org/10.3303/CET1332047 es_ES
dc.description.references Negri, E., Perotti, S., Fumagalli, L., Marchet, G., & Garetti, M. (2017). Modelling internal logistics systems through ontologies. Computers in Industry, 88, 19-34. https://doi.org/10.1016/j.compind.2017.03.004 es_ES
dc.description.references Obitko, M., & Marík, V. (2002). Ontologies for Multi-Agent Systems in Manufacturing Domain. In Proceedings of the 13th International Workshop on Database and Expert Systems Applications (DEXA 2002). IEEE Computer Society, Aix-en-Provence, France 2002, pp. 597-602. https://doi.org/10.1109/DEXA.2002.1045963 es_ES
dc.description.references OECD (1996). First OECD Workshop on Individual Travel Behaviour Values, Welfare and Quality of Life’ Final Report; OCDE/GD(96) 199 OECD. Paris: Organisation for Economic Co-operation and Development. es_ES
dc.description.references Ontoweb Ontology-Based Information (2002). IST Project IST-2000-29243: OntoWeb - Ontology-based Information Exchange for Knowledge Management and Electronic Commerce D21 Successful Scenarios for Ontology-based Applications v1.0, see: http://people.cs.ksu.edu/~abreed/CIS890/References/OntoWeb_Del_2-1.pdf es_ES
dc.description.references Papakitsos, C. (2021). Optimization and Sustainability of Supply Chain: The Application of Reverse Supply Chain - Case Studies (in Greek). Integrated Master Dissertation, Department of Mechanical Engineering, University of West Attica, Greece. es_ES
dc.description.references Pawlaszczyk, D., Dietrich, A.J., Timm, I.J., Otto, S., & Kirn, S. (2004). Ontologies Supporting Cooperation in Mass Customization – A Pragmatic Approach. In International Conference on Mass Customization and Personalization – Theory and Practice in Central Europe (2004). Retrieved from: https://www.tu-menau.de/fileadmin/media/wid/forschung/Publikationen/OnlinePublikationen/2004-Pawlaszczyk-OntologiesSupporting.pdf es_ES
dc.description.references Piper, R.J. (2013). How to write a systematic literature review: a guide for medical students. University of Edinburgh. es_ES
dc.description.references Pittway, L. (2008). Systematic literature reviews. In R. Thorpe & R. Holt (Eds.), “The SAGE dictionary of qualitative management research”. SAGE Publications Ltd. https://doi.org/10.4135/9780857020109 es_ES
dc.description.references Ponanan, K., Suto, H., & Watanabe, S. (2017). An approach for supporting system of international logistics based on ontological engineering. In Proceedings of the 2017 International Conference on Biometrics and Kansei Engineering, ICBAKE 2017, 8090641, pp. 49-54. https://doi.org/10.1109/ICBAKE.2017.8090641 es_ES
dc.description.references Prajogo, D., & Olhager, J. (2012). Supply chain integration and performance: the effects of long-term relationships, information technology and sharing, and logistics integration. International Journal of Production Economics, 135(1), 514-522. https://doi.org/10.1016/j.ijpe.2011.09.001 es_ES
dc.description.references Roder, A., & Tibken, B. (2006). A methodology for modeling inter-company supply chains and for evaluating a method of integrated product and process documentation. European Journal of Operational Research, 169, 1010–1029. https://doi.org/10.1016/j.ejor.2005.02.006 es_ES
dc.description.references Sakka, O., Millet, P-A., & Botta-Genoulaz, V. (2010). An Owl Based Ontology of Scor Model: A Prerequisite for Strategic Alignment. In the 8th International Conference of Modeling and Simulation - MOSIM’10 - May 10-12, 2010 - Hammamet – Tunisia, “Evaluation and optimization of innovative production systems of goods and services”. Available from: https://www.researchgate.net/publication/228749588_AN_OWL_BASED_ONTOLOGY_OF_SCOR_MODEL_A_PREREQUISITE_FOR_STRATEGIC_ALIGNMENT es_ES
dc.description.references Sakka, O., Millet, P-A., & Botta-Genoulaz, V. (2011). An ontological approach for strategic alignment: A supply chain operations reference case study. International Journal of Computer Integrated Manufacturing, 24(11), 1022-1037. https://doi.org/10.1080/0951192X.2011.575798 es_ES
dc.description.references Samuel, K. E., Goury, M. L., Gunasekaran, A., & Spalanzani, A. (2011). Knowledge management in supply chain: An empirical study from France. The Journal of Strategic Information Systems, 20(3), 283-306. https://doi.org/10.1016/j.jsis.2010.11.001 es_ES
dc.description.references Scheuermann, A., & Hoxha, J. (2012). Ontologies for intelligent provision of logistics services. In The Seventh International Conference on Internet and Web Applications and Services (ICIW'12), pp. 106-111. es_ES
dc.description.references Scheuermann, A., & Leukel, J. (2014). Supply chain management ontology from an ontology engineering perspective. Comput. Ind., 65(2014), 913–923. http://dx.doi.org/10.1016/j.compind.2014.02.009 es_ES
dc.description.references Sivamani, S., Kwak, K., & Cho, Y. (2014). A study on intelligent user-centric logistics service model using ontology. Journal of Applied Mathematics, 2014, 162838. https://doi.org/10.1155/2014/162838 es_ES
dc.description.references Strzelczak, S., Balda, P., Garetti, M., & Lobov, A. (2015). Open Knowledge-driven Manufacturing & Logistics. The eScop Approach, Warsaw University of Technology Publishing House, Warsaw. es_ES
dc.description.references Smirnov, A. V., & Chandra, Ch. (2000). Ontology-Based Knowledge Management for Cooperative Supply Chain Configuration. Retrieved from: https://www.aaai.org/Papers/Symposia/Spring/2000/SS-00-03/SS00-03-013.pdf es_ES
dc.description.references Stevens, G.C. (1989). Integrating the Supply Chain. International Journal of Physical Distribution & Materials Management, 19, 3-8. Retrieved from: https://pdfs.semanticscholar.org/792f/f5a74aac0672b52805198942a6051fd0caf1.pdf es_ES
dc.description.references Soares, A.L., Azevedo, A.L., & De Sousa, J.P. (2000). Distributed planning and control systems for the virtual enterprise: organizational requirements and development lifecycle. Journal of Intelligent Manufacturing, 11(3), 253–270. https://doi.org/10.1023/A:1008967209167 es_ES
dc.description.references Tamma, V., Phelps, S., Dickinson, I., & Wooldridge, M. (2005). Ontologies for supporting negotiation in e-commerce. Eng. Appl. Artif. Intell., 18(2005), 223–236. https://doi.org/10.1016/j.engappai.2004.11.011 es_ES
dc.description.references Tham, K.D., Fox, M.S., & Gruninger, M. (1994). A cost ontology for enterprise modelling. In Proceedings of the Third IEEE Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, West Virginia, April, (1994), pp. 111–117. https://doi.org/10.1109/ENABL.1994.330502 es_ES
dc.description.references Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207-222. https://doi.org/10.1111/1467-8551.00375 es_ES
dc.description.references Ureten, S., & Ilter, H. K. (2006). Supply Chain Management Ontology: Towards an Ontology-Based SCM Model. In the Conference Proceedings of the Fourth International Logistics and Supply Chain Management Congress. Izmir Economy University, Izmir, Turkey, 2006, pp. 741-749. DOI: 10.13140/2.1.2319.6169 es_ES
dc.description.references Uschold, M., King, M., Moralee, S., & Zorgios, Y. (1998). The Enterprise Ontology. The Knowledge Engineering Review , 13(1), 31 – 89. https://doi.org/10.1017/S0269888998001088 es_ES
dc.description.references Vikram, N. K., Whitman, L., & Malzahn, D. (2003). Ontology-based Product Tracking System. Department of Industrial and Manufacturing Engineering, Wichita State University, USA. http://hdl.handle.net/10057/5913 es_ES
dc.description.references Weber, J., Stolipin, J., König, M., & Wenzel, S. (2019). Ontology for logistics requirements on a 4D BIM for semi-automatic storage space planning. In Proceedings of the 36th International Symposium on Automation and Robotics in Construction, ISARC 2019, pp. 560-567. https://doi.org/10.22260/ISARC2019/0075 es_ES
dc.description.references Witherell, P., Krishnamurty, S., & Grosse, I. R. (2006). Ontologies for supporting engineering design optimization. Journal of Computing and Information Science in Engineering. https://doi.org/10.1115/DETC2006-99508 es_ES
dc.description.references Xu, D., Wijesooriya, C., Wang, Y.-G., & Beydoun, G. (2011). Outbound logistics exception monitoring: A multi-perspective ontologies’ approach with intelligent agents. Expert Systems with Applications, 38(11), 13604–13611. https://doi.org/10.1016/j.eswa.2011.04.111 es_ES
dc.description.references Ye, Y., Yang, D., Jiang, Z., & Tong, L. (2008). Ontology-based semantic models for supply chain management. The International Journal of Advanced Manufacturing Technology, 37(11-12), 1250-1260. https://doi.org/10.1007/s00170-007-1052-6 es_ES
dc.description.references Yiqing, L., Lu, L., & Chen, L. (2009). Decision-making for supplier selection based on ontology and rules. In the 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009 4, 5288243, pp. 176-179. https://doi.org/10.1007/s00170-007-1052-6 es_ES
dc.description.references Yu-Liang, C. (2010). Rule-based ontological knowledge base for monitoring partners across supply networks. Expert Systems with Applications, 37(2), 1400–1407. https://doi.org/10.1016/j.eswa.2009.06.097 es_ES
dc.description.references Zdravković, M., Panetto, H., & Trajanović, M. (2010). Towards an Approach for Formalizing the Supply Chain Operations. In the 6th International Conference on Semantic Systems, September 2010 Article No.: 19, pp. 1–5, ACM ICP, 8th Jun, 2010, Graz, Austria. https://doi.org/10.1145/1839707.1839732 es_ES
dc.description.references Zhang, L., Jiang, D., Ju, Y., Wang, Q., & Li, P. (2013). Managing emergency material distribution knowledge using ontology-based modeling for emergency distribution decision. Advanced Materials Research, 605-607, 2337-2340. https://doi.org/10.4028/www.scientific.net/AMR.605-607.2337 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem