Abstract
This paper proposes a framework and a methodology for evaluating and improving the interoperability for each partner collaborating in a supply chain. The definition of this framework is based on two principles. The first one is that there are two kinds of activities in a business process: non-value-added (NVA) activities and business activities. In our work, NVA activities are those dedicated to interoperability alignment. The second principle is that process Performance Indicators (PIs) can be used to measure interoperability. The framework uses a causal performance measurement model (CPMM) to allow an understanding of how interoperability can influence the achievement of all the partners’ objectives. The methodology is based on the framework. It is aimed to provide support for managing the evolution of the supply chain towards interoperability. An application of the methodology to an industrial case study is presented.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Ford, T., et al., The Interoperability Score, in 5th Conference on Systems Engineering Research. 2007B, Stevens Institute of Technology: New Jersey.
Blanc, S., Contribution a la caracterisation et a l'evaluation de l'interoperabilite pour les entreprises collaboratives. 2006, University of Bordeaux 1.
Ducq, Y. and D. Chen, How to measure interoperability: Concept and Approach, in 14th International Conference on Concurrent Enterprising. 2008, A New Wave of Innovation in Collaboration Networks: Lisbon.
Huynh, T.V. and J.S. Osmundson, A Model for Assessing the Performance of Interoperable, Complex Systems, in the 2006 Conference on Systems Engineering Research. 2006, Stevens Institute of Technology: New Jersey.
Kasunic, M. and W. Anderson, Measuring Systems Interoperability: Challenges and Opportunities, in Software Engineering Measurement and Analysis Initiative. 2004, Carnegie Mellon University.
Panetto, H., Towards a Classification Framework for Interoperability of Enterprise Applications. International Journal of Computer Integrated Manufacturing, 2007. 20(8): p. 727–740.
Tolk, A. and J. Muguira, The Levels of Conceptual Interoperability Model, in the 2003 Fall Simulation Interoperability Workshop. 2003, IEEE CS Press: Orlando.
Morris, E., et al., System of Systems Interoperability (SOSI): Final Report., in The Software Engineering Institute. 2004, Carnegie Mellon University.
Kingston, G., S. Fewell, and W. Richer, An Organizational Interoperability Agility Model, in the 10th Command and Control Research and Technology Symposium. 2005, Command and Control Research Program: Virginia.
Lebreton, B. and C. Legner, Interoperability Impact Assessment Model: An Overview, in Enterprise Interoperability II: New Challenges and Approaches, R.J. Gonçalves, et al., Editors. 2007, Springer.
Grandin-Dubost, M., et al., Using IIAM to Assess Interoperability Investments: A Case Study, in Enterprise Interoperability II. New Challenges and Approaches, R.J. Gonçalves, et al., Editors. 2007, Springer.
Chen, D., B. Vallespir, and N. Daclin, An Approach for Enterprise Interoperability Measurement, in International Workshop on Model Driven Information Systems Engineering: Enterprise, User and System Models 2008B: Montpellier.
Ford, T., et al., A Survey on Interoperability Measurement, in 12th International Command and Control Research and Technology Symposium. 2007A, A New Wave of Innovation In Collaborative Networks: Lisbon.
Dudoit, S. and M.J. Van der Laan, Asymptotics of cross-validated risk estimation in estimator selection and performance assessment. Statistical Methodology, 2005. 2(2): p. 131-154.
Cantamessa, M. and E. Paolucci, Using organizational analysis and IDEFO for enterprise modelling in SMEs International Journal of Computer Integrated Manufacturing, 1998. 3(1): p. 416–429.
Niven, P.R., Balanced Scorecard Step by Step. 2002: John Wiley & Sons.
Buytendijk, F., Dealing with Dilemmas: Where Business Analytics Fall Short. 2010: John Wiley and Sons.
Kaplan, R.S. and D.P. Norton, Strategy maps: converting intangible assets into tangible outcomes. 2004: Harvard Business Press.
Epstein, M.J. and R.A. Westbrook, Linking Actions to Profits in Strategic Decision Making. MIT Sloan Management Review, 2001. 42(3): p. 39–49.
Hamschera, W., M.Y. Kiangb, and R. Langc, Qualitative reasoning in business, finance, and economics: Introduction. Decision Support Systems, 1995. 15(2): p. 99-103.
Sproles, N., Formulating Measures of Effectiveness. Systems Engineering, 2002. 5(4): p. 253–263.
Chen, D., G. Doumeingts, and F. Vernadat, Architectures for enterprise integration and interoperability:Past, present and future. Computers in Industry, 2008A. 59(7).
ALCTS. Description and Access Task Force on Metadata. 2010; Available from: http://www.libraries.psu.edu/tas/jca/ccda/tf-meta3.html.
Kuipers, B., Qualitative Simulation, in Encyclopedia of Physical Science and Technology (Third Edition), R.A. Meyers, Editor. 2004, Academic Press.
Kuipers, B., Qualitative Reasoning: Modeling and Simulation with Incomplete Knowledge. 1994: MIT Press.
Bredeweg, B., et al., Towards a structured approach to building qualitative reasoning models and simulations. Ecological Informatics, 2008. 3(1).
Doumeingts, G., N. Malhéné, and C. Villenave, GEM: GRAI evolution method: a case study. Int. J. Technology Management, 2001. 22(1/2/3).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag London Limited
About this paper
Cite this paper
Camara, M., Ducq, Y., Dupas, R. (2012). A Methodology for Interoperability Evaluation in Supply Chains based on Causal Performance Measurement Models. In: Poler, R., Doumeingts, G., Katzy, B., Chalmeta, R. (eds) Enterprise Interoperability V. Proceedings of the I-ESA Conferences, vol 5. Springer, London. https://doi.org/10.1007/978-1-4471-2819-9_1
Download citation
DOI: https://doi.org/10.1007/978-1-4471-2819-9_1
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2818-2
Online ISBN: 978-1-4471-2819-9
eBook Packages: EngineeringEngineering (R0)