Skip to main content
SpringerLink
Log in

Model-based approaches for interoperability of next generation enterprise information systems: state of the art and future challenges

  • Original Article
  • Published:
Information Systems and e-Business Management Aims and scope Submit manuscript

Abstract

Enterprise businesses are more than ever challenged by competitors that frequently refine and tailor their offers to clients. In this context, enterprise information systems (EIS) are especially important because: (1) they remain one of the last levers to increase the performance and competitiveness of the enterprise, (2) we operate in a business world where the product itself has reached a limit of performance and quality due to uniform capacity of industrial tools in a globalized economy and (3) the EIS can increase the product value thanks to additional digital services (built on data associated to the product) in order to meet and fit better client’s needs. However, the use of EISs reaches a limit in collaborative environments because enterprises management methods diverge and EISs are mainly inflexible resource packages that are not built with an interoperability objective. Consequently, we need to make EISs interoperable in order to achieve the needed gains competitiveness and performance. This paper contribution can be summarized as follows: (1) it relates existing work and it examines barriers that, at the moment, are preventing further improvements due to current methodological and technological limits, and (2) it proposes a conceptual framework and five challenges that model based approaches must overcome to achieve interoperability between EIS in the near and long term.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

(Adapted from Song et al. 2013)

Fig. 4
Fig. 5

(From Van Der Aalst 2011)

Fig. 6

Similar content being viewed by others

References

  • Abel F, Gao Q, Houben G-J, Tao K (2011) Semantic enrichment of twitter posts for user profile construction on the social web. Semanic Web Res Appl Lect Notes Comput Sci 6644:375–389

    Article  Google Scholar 

  • Ajaefobi JO, Weston RH (2005) Modelling human systems in support of process engineering. In: Integrating human aspects in production management. doi:10.1007/0-387-23078-5_1

  • Anaby-Tavor A, Amid D, Sela A, Fisher A, Zhang K, Jun OT (2008) Towards a model driven service engineering process. In: 2008 IEEE Congress on Services—Part I, pp 503–510

  • Arsanjani A, Ghosh S, Allam T, Abdollah T, Ganapathy S, Holley K (2008) SOMA: a method for developing service-oriented solutions. IBM Syst J 47(3):377–396

    Article  Google Scholar 

  • Bazoun H, Zacharewicz G, Ducq Y, Boyer H (2013) Transformation of extended actigram star to BPMN2.0 and simulation model in the frame of model driven service engineering architecture. In: DEVS 13 Proceedings of the symposium on theory of modeling and simulation—DEVS Integrative M&S Symposium, Apr 2013, San Diego, United States

  • Bézivin J, Jouault F, Paliès J (2005) Towards model transformation design patterns. In: Proceedings of the First European Workshop on Model Transformations (EWMT 2005)

  • Borst WN (1997) Construction of engineering ontologies for knowledge sharing and reuse. Universiteit Twente

  • Bouanan Y, Ribault J, Forestier M, Zacharewicz G, Vallespir B (2015) Modeling and simulation of human reaction in a multidimensional social network. In: 5th IFAC symposium on information control problems in manufacturing—INCOM 2015, IFAC-PapersOnLine 48(3):592–597

  • Bourey JP, Grangel R, Doumeingts G, Berre A (2007) Deliverable DTG2.3 from the INTEROP project. Report on Model Driven Interoperability. http://interop-vlab.eu. Accessed 15 May 2013

  • C4ISR (1998) Architecture working group. Levels of information systems interoperability (LISI). http://www.eng.auburn.edu/~hamilton/security/DODAF/LISI.pdf

  • Camara MS, Ducq Y, Dupas R (2014) A methodology for the evaluation of interoperability improvements in inter-enterprises collaboration based on causal performance measurement models. Int J Comput Integr Manuf 27(2):103–119

    Article  Google Scholar 

  • Camarinha-Matos LM, Macedo P, Oliveira AI, Ferrada F, Afsarmanesh H (2013) Collaborative environment for service-enhanced products. In: 2013 11th IEEE International Conference on Industrial Informatics (INDIN), pp 374–379, 29–31 July 2013

  • Chen D (2013) Framework for enterprise interoperability and maturity model (CEN/ISO 11354). Interoperability for enterprise software and applications, pp 15–22

  • Chen D, Vallespir B, Doumeingts G (1997) GRAI integrated methodology and its mapping onto generic enterprise reference architecture and methodology. Comput Ind 33(2):387–394

    Article  Google Scholar 

  • Chen D, Doumeingts G, Vernadat F (2008) Architectures for enterprise integration and interoperability: past, present and future. Comput Ind 59:647–659

    Article  Google Scholar 

  • Colomo-Palacios R, Gómez-Berbís JM, García-Crespo Á, Puebla-Sánchez I (2008) Software engineering 2.0: a social global repository based on semantic annotation and social web for knowledge management. In: The Open Knowlege Society. A computer science and information systems manifesto communications in computer and information science, vol 19, pp 468–475

  • Davenport TH (2013) Process innovation: reengineering work through information technology. Harvard Business Press, Harvard

    Google Scholar 

  • Den Haan J (2008) 8 Reasons why model-driven approaches (will) fail, Posted on Jul 28, 2008. http://www.infoq.com/articles/8-reasons-why-MDE-fails. Accessed on July 2015

  • Ducq Y, Vallespir B (2005) Definition and aggregation of a performance measurement system in three aeronautical workshops using the ECOGRAI method. Int J Prod Plann Control 16(2):163–177

    Article  Google Scholar 

  • Ducq Y, Agostinho C, Chen D, Zacharewicz G, Jardim-Goncalves R (2010) Generic methodology for service engineering based on service modelling and model transformation. In: Wiesner S, Guglielmina C, Gusmeroli S, Doumeingts G (eds) Manufacturing service ecosystem: achievements of the European 7th Framework Programme FoF-ICT Project MSEE: Manufacturing SErvice Ecosystem (Grant No. 284860). Verlag-Mainz, 2014, pp 41–49. FInES Future Internet Enterprise Systems (FInES) Cluster–Cluster Book—ICT2010 EVENT VERSION, June 2010. http://cordis.europa.eu/fp7/ict/enet/documents

  • Euzenat J, Shvaiko P (2007) Ontology matching. Springer, Heidelberg

    Google Scholar 

  • FInES Cluster, Future Internet Enterprise Systems, FInES Research Roadmap 2025 (2012). http://cordis.europa.eu/fp7/ict/enet/documents/fines-research-roadmap-v30_en.pdf. Accessed on July 2015

  • FITMAN Project. http://www.fitman-fi.eu/. Website Accessed on July 2014

  • Fox MS, Barbuceanu M, Gruninger M (1996) An organisation ontology for enterprise modeling: preliminary concepts for linking structure and behaviour. Comput Ind 29(1):123–134

    Article  Google Scholar 

  • Giunchiglia F, Shvaiko P, Yatskevich M (2009) Semantic matching. In: Encyclopedia of database systems. Springer US, pp 2561–2566

  • Guo J, Wang Y, Zhang Z, Nummenmaa J, Niu N (2012) Model-driven approach to developing domain functional requirements in software product lines. IET Softw 6(4):391–401

    Article  Google Scholar 

  • Gusmeroli S (2008) Future Internet Service Offer, FISO Breakout Session, Global Service Delivery Platform Interactive Panel, FIA Madrid, 10 Dec 2008

  • Hawking SW (2006) The theory of everything: the origin and fate of the universe. Phoenix Books; Special Anniv

  • Holland JH (1975) Adaptation In Natural And Artificial Systems, University of Michigan Press

  • Hooft G, Susskind L, Witten E (2005) A theory of everything? Nature 433:257–259

    Article  Google Scholar 

  • Hu J, Huang L, Chang X, Cao B (2014) A model driven service engineering approach to system of systems. In: 2014 8th Annual IEEE Systems Conference, 31 Mar–3 Apr 2014, Ottawa, USA, pp 136–145

  • I-VLAB (2007) http://interop-vlab.eu/interop-vlab-network/presentation. Accessed on July 2015

  • Jardim-Goncalves R, Agostinho C, Steiger-Garcao A (2012) A reference model for sustainable interoperability in networked enterprises: towards the foundation of EI science base. Int J Comput Integr Manuf 25(10):855–873

    Article  Google Scholar 

  • Jouault F, Allilaire F, Bezivin J, Kurtev I (2008) ATL: a model transformation tool. Sci Comput Program 72(1–2):31–39

    Article  Google Scholar 

  • Kleppe AG, Warmer J, Bast W, Explained MDA (2003) The model driven architecture: practice and promise

  • Ko J, Song Y (2012) Graph Based Model Transformation Verification using Mapping Patterns and Graph Comparison Algorithm. Int J Adv Comput Technol 4(8):262–269

    Google Scholar 

  • Kosanke K (1995) CIMOSA—overview and status. Comput Ind 27(2):101–109

    Article  Google Scholar 

  • Lampathaki F, Koussouris S, Agostinho C, Jardim-Goncalves R, Charalabidis Y, Psarras J (2012) Infusing scientific foundations into Enterprise Interoperability. Comput Ind 63(8):858–866

    Article  Google Scholar 

  • Laudon KC, Laudon JP (2012) Management information systems: managing the digital firm, vol 12. Pearson, New Jersey

    Google Scholar 

  • Lawson J (2013) What’s new in semantic enrichment. http://www.stm-assoc.org/2013_12_05_EProduction_Lawson_Whats_new_in_semantics_OUP.pdf. Accessed on July 2015

  • LeMoigne J-L (1977) La théorie du système général. Théorie de la modélisation, PUF

  • Leue S, Mehrmann L, Rezai M (1998) Synthesizing software architecture descriptions from message sequence chart specification. In: Proceedings of the 13th IEEE International Conference on Automated Software Engineering (ASE98). IEEE Computer Society Press, pp 192–195

  • Li J, Zhan D, Nie L, Xu X (2012) An approach for validating semantic consistency of model transformation Based on pattern. In: van Sinderen M et al (eds) Enterprise Interoperability. Lecture Notes in Business Information Processing, vol 122. Springer, Berlin Heidelberg, pp 161–171

  • Li J, Zhan D, Nie L, Xu X (2013) An approach for defining and validating property preservation constraints for model transformation. J Comput Inf Syst 9(4):1271–1278

    Google Scholar 

  • Lin H-L, Hung S-S, Tsaih D (2009) Modeling service-driven architecture for distributed enterprise portal for maintaining path consistency. In: SEPADS’09, 8th WSEAS international conference on software engineering, parallel and systems, pp 135–143

  • Mesarovic MD, Takaraha Y (1975) General systems theory: mathematical foundations

  • MSEE (2014) Manufacturing service ecosystem. Research project FP7 FoF-ICT-2011.7.3. http://www.msee-ip.eu. Accessed on July 2015

  • Neely A, Adams C, Kennerley M (2002) The performance prism—the scorecard for measuring and managing business success. Prentice Hall, Upper Saddle River

    Google Scholar 

  • NIST (2014) http://www.nist.gov/el/msid/mbesummit_2014.cfm. Accessed March 2015

  • OMG (2003) MDA guide version 1.0. OMG standard. document number: omg/2003-05-01. Accessed 15 May 2013. http://www.omg.org/cgi-bin/doc?omg/03-06-01. Accessed on July 2015

  • OMG (2013) Architecture-driven modernization task force. http://adm.omg.org/. Accessed 15 Jan 2015

  • Panetto H, Molina A (2008) Enterprise integration and interoperability in manufacturing systems: trends and issues. Comput Ind 59(7):641–646

    Article  Google Scholar 

  • Pietsch P, Müller K, Rumpe B (2014) Model matching challenge: benchmarks for ecore and bpmn diagrams. arXiv preprint arXiv:1408.5693

  • Ribault J, Zacharewicz G (2013) Orchestrating the interoperability workflow within a transport simulation platform. In: Proceedings of I3 M: the 10th international multidisciplinary modelling and simulation multiconference

  • Roque M, Vallespir B, Doumeingts G (2006) Network-centric collaboration and supporting frameworks. IFIP International Federation for Information Processing, UEML: Coherent Languages and Elementary Constructs Determination, Springer US

  • Shvaiko P, Euzenat J (2013) Ontology matching: state of the art and future challenges. IEEE Trans Knowl Data Eng 25(1):158–176

    Article  Google Scholar 

  • Silingas D, Why MDA (2013) Fails: analysis of unsuccessful cases. Code Generation Conference, Cambridge, UK, 10–12 April 2013

  • Song F, Zacharewicz G, Chen D (2013) An ontology-driven framework towards building enterprise semantic information layer. Adv Eng Inform 27:38–50

    Article  Google Scholar 

  • Souba W (2011) The language of discovery. J Biomed Discov Collab 6:53–69

    Article  Google Scholar 

  • Sun Z, Wang J, He K, Xiang S, Yu D (2010) A model transformation method in service-oriented domain modeling. In: 21st Australian Software Engineering Conference, pp 107–116

  • Tolk A, Diallo SY, Turnitsa CD (2006) Ontology driven interoperability—M&S applications. Whitepaper in support of the I/ITSEC Tutorial 2548, VMASC Report, Old Dominion University, Suffolk, VA

  • Tu Z, Zacharewicz G, Chen D (2014) Building an HLA federated interoperable framework from legacy information systems. Int J Comput Integr Manuf 27(4):313–332

    Article  Google Scholar 

  • Van Der Aalst WMP (2011) Process mining: discovery, conformance and enhancement of business processes. Springer, Berlin, ISBN 978-3-642-19344-6

  • Wang Z, Xu X (2012) A sharing-based service composition and scheduling approach for the optimization of resource utilization. Serv Oriented Comput Appl (SOCA) 6(1):15–32

    Article  Google Scholar 

  • Wang J, He K, Gong P, Wang C, Peng R, Li B (2008) RGPS: a unified requirements meta-modeling frame for networked software. In: The 3rd international workshop on applications and advances of problem frames (IWAAPF’08), 10 May 2008, Leipzig, Germany, pp 29–35

  • Wang Z, Xu X, Ma C, Liu A (2010) Service value meta-model: an engineering viewpoint. In: 6th international conference on interoperability for enterprise software and applications (I-ESA 2010). Coventry, UK, 24–26 March 2010

  • Wang Y, Zacharewicz G, Chen D, Traoré MK (2015) A proposal of using DEVS model for process mining. EMSS 2015 part of I3 M 2015 Bergeggi, Italy

  • Wiederhold G (1992) Mediators in the architecture of future information systems. Computer 25(3):38–49

    Article  Google Scholar 

  • Xu X, Wang Z (2008) VASEM: value-aware service engineering and methodology. In: Proceedings of the 20th IFIP World Computer Congress, 7–10 Sept 2008, Milano, Italy, pp 277–286

  • Xu X, Wang Z (2011) State of the art: business service and its impacts on manufacturing. J Intell Manuf 22(5):653–662

    Article  Google Scholar 

  • Zacharewicz G, Chen D, Vallespir B (2009) Short-lived ontology approach for agent/HLA federated enterprise interoperability. In: International conference on interoperability for enterprise software and applications. IESA ‘09, Beijing, China, pp 329–335

  • Zacharewicz G, Hamri A, Frydman C, Giambiasi N (2010) A generalized discrete event system (G-DEVS) flattened simulation structure: application to high-level architecture (HLA) compliant simulation of workflow. Simulation 86(3):181–197

    Article  Google Scholar 

  • Zeigler BP, Kim TG, Praehofer H (2000) Theory of modeling and simulation, 2nd edn. Academic Press, Inc., Orlando

    Google Scholar 

  • Zhang X, He K, Wang J, Liu J, Wang C, Lu H (2012) On-demand service-oriented MDA approach for SaaS and Enterprise Mashup Application Development. In: 2012 International conference on cloud computing and service computing, pp 96–103

  • Zhu J, Tian Z, Li T, Sun W et al (2004) Model-driven business process integration and management: a case study with the Bank SinoPac regional service platform. IBM J Res Dev 48(5/6):649–669

    Article  Google Scholar 

  • Zhu Y, Fei L, Yang N (2013) Trustworthy software development based on model driven architecture. In: Yang Y, Ma M, Liu B (eds) Information Computing and Applications. Communications in Computer and Information Science, vol 391. Springer, Berlin Heidelberg, pp 193–202

Download references

Author information

Authors and Affiliations

  1. CNRS IMS, UMR 5218, University of Bordeaux, 33405, Talence, France

    Gregory Zacharewicz

  2. VMASC, Old Dominion University, 1030 University Boulevard, Suffolk, VA, 23435, USA

    Saikou Diallo & Yves Ducq

  3. Centre of Technology and Systems, CTS, UNINOVA, 2829-516, Caparica, Portugal

    Carlos Agostinho & Ricardo Jardim-Goncalves

  4. Hardis/Hardis Conseil, 3 rue Guglielmo Marconi, 44800, Saint Herblain, France

    Hassan Bazoun

  5. Harbin Institute of Technology, No. 92 West Dazhi Street, Nangang District, P.O. Box 315, Harbin, 150001, Heilongjiang, China

    Zhongjie Wang

  6. Interop Vlab, Bureau Aquitaine Europe, 19 av. de l’Yser, 1040, Brussels, Belgium

    Guy Doumeingts

Authors
  1. Gregory Zacharewicz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Saikou Diallo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yves Ducq
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Carlos Agostinho
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Ricardo Jardim-Goncalves
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Hassan Bazoun
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Zhongjie Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Guy Doumeingts
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gregory Zacharewicz.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zacharewicz, G., Diallo, S., Ducq, Y. et al. Model-based approaches for interoperability of next generation enterprise information systems: state of the art and future challenges. Inf Syst E-Bus Manage 15, 229–256 (2017). https://doi.org/10.1007/s10257-016-0317-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10257-016-0317-8

Keywords

Search

Navigation