A PLM components monitoring framework for SMEs based on a PLM maturity model and FAHP methodology

Authors

  • Haiqing Zhang DISP laboratory, University Lumière Lyon 2, France 160 Bd de l’Université 69676 Bron Cedex France
  • Aicha Sekhari DISP laboratory, University Lumière Lyon 2, France France
  • Yacine Ouzrout DISP laboratory, University Lumière Lyon 2, France France
  • Abdelaziz Bouras ictQATAR chair, Computer Science Dept., Faculty of Engineering Qatar University, Box. 2731, Doha, Qatar

Keywords:

PLM components monitoring framework, PLM maturity model, Fuzzy AHP methodology, PLM components maturity assessment, PLM benefits

Abstract

Right PLM components selection and investments increase business advantages. This paper develops a PLM components monitoring framework to assess and guide PLM implementation in small and middle enterprises (SMEs). The framework builds upon PLM maturity models and decision-making methodology. PLM maturity model has the capability to analyze PLM functionalities and evaluate PLM components. A proposed PLM components maturity assessment (PCMA) model can obtain general maturity levels of PLM components based on key performance indicators. Investment decisions should be made from the relatively weaker PLM components based on the results of PCMA. One developed method of the fuzzy analytical hierarchy process (Fuzzy AHP) is applied to extract the premier improvement component needed. The results of a first empirical assessment in a swimming industry are presented, which could be used as benchmark data for the other Small and Medium sized Enterprises (SMEs) to develop their own PLM components monitoring framework to increase the success of their PLM implementation.

Author Biographies

  • Haiqing Zhang, DISP laboratory, University Lumière Lyon 2, France 160 Bd de l’Université 69676 Bron Cedex France

    Zhang Haiqing: is a PhD student in the DISP (Decision & Information Sciences for Production Systems) laboratory of University Lyon 2. She obtained her MSc in Computer Science from CUIT (Chengdu University of Information Technology). Her research interests are in the areas of PLM maturity models, decision-making methodology, fuzzy mathematics and data-mining. She has published several research papers in this field and plays an active role in the IFIP (International Federation of Information Processing) PhD network.

  • Aicha Sekhari, DISP laboratory, University Lumière Lyon 2, France France

    Aicha SEKHARI: is currently associate professor at Lyon 2 University and a Director of RTI "Research, Innovation and Knowledge Transfer" center of Lumiere Technology Institute at University of Lyon.Aicha current research covers the area of Production Sustainability including Product Life cycle Management and Supply Chain Management. She co-advises 5 PhDs Students in these fields. She is currently collaborating on various EU and International Projects (EU FP7 EASY-IMP on intelligent products in the cloud; EU Erasmus Mundus eTourism program, Rhone-Alps projects on Risk management and uncertainty for Sustainable SCM and configuration.She received her Engineering Degree in Electronics in 1994 from the University of Setif in Algeria. After three years of industrial experience in Engineering maintenance, she joined INSA school of Lyon for her MSc. degree and obtained her Ph.D in Production System from the University of Clermond Ferrand in 2004.

  • Yacine Ouzrout, DISP laboratory, University Lumière Lyon 2, France France

    Ouzrout Yacine: is a Computer Scientist in the Supply Chain & Product Lifecycle Management group of the DISP Laboratory at the University Lumiere Lyon2 (ULL). He obtained his PhD in Computer Engineering from the National Institute of Technology of Lyon (INSA), and his HDR degree (Accreditation to supervise research) in 2012 from the University Lyon2. Currently, he is an Associate Professor at ULL. He is the Director of theInstitute of Technology of his university. His research interests include multi-agent systems, simulation, decision support systems, and distributed information systems. Dr. Ouzrout has been involved in several European projects: Asia-Link East-West project, Erasmus-Mundus eLink, and is currentlythe local coordinator (ULL) of the Erasmus Mundus Sustainable E-Tourism project. He is co-chair and member of program committees of several International conferences (PLM, SKIMA, AICIT,...) and member of several Scientific Commissions (DISP Laboratory, Computer Science Commission ULL,…).

  • Abdelaziz Bouras, ictQATAR chair, Computer Science Dept., Faculty of Engineering Qatar University, Box. 2731, Doha, Qatar

    Abdelaziz Bouras is Professor at QU Qatar University, managing the ictQATAR Supreme Council of ICT Professional Chair. He is currently the Chair of the IFIP WG5.1 on “Global Product development for the whole life-cycle”. His current research interests focus on distributed systems for lifecycle engineering, including ontologies and lifecycle modeling for intelligent products. He is involved in several international projects such as the EASY-MP FP7 on meta-products in the cloud and the FITMAN future internet technologies for manufacturing industries. He teaches Software Project Management and Simulation in the Department of Computer Science and Engineering of QU.

References

Stark, J., (2005). Product Lifecycle Management-21Century Paradigm for Product Realization, Springer-Verlag, London.

Sharma, A. (2005) “Collaborative Product Innovation: Integrating Elements of CPI via PLM Framework.” Computer-Aided Design 37 (13) (November): 1425–1434.

Batenburg, R., Helms,R.W. and Versendaal,J. (2006) PLM roadmap: stepwise PLM implementation based on the concepts of maturity and alignment, Int. J. Product Lifecycle Management, Vol.1,No.4,pp. 333-351.

Saaksvuori, A., Immonen, A., (2008). Product lifecycle management. Springer.

Bensiek, T., Kuehn, A., (2012). Maturity Model for Improving Virtual Engineering in Small and Medium-Sized Enterprises, in: Product Lifecycle Management. Towards Knowledge-Rich Enterprises. Springer, pp. 635–645.

PLMIG, PLM Interest Group (2007) PLM Maturity Reference Manual. Version 1.0, 19 March.

Dayan, R., Evans, S., 2006. KM your way to CMMI. Journal Of Knowledge Management 10, No 1, 69–80.

Van Looy, Amy, and Geert Poels. (2012). “Towards a Decision Tool for Choosing a Business Process Maturity Model.” In Proceedings of the 7th International Conference on Design Science Research in Information Systems: Advances in Theory and Practice, 78–87.

Paulk, M.C., Curtis, B., Chrissis, M.B., Weber, C.V., (1993). Capability maturity model, version 1.1. IEEE Software 10, 18 –27.

CMMI Overview. Software Engineering Institute. Accessed 16 February 2011.3

Alfaraj, H.M., Qin, S., (2011). Operationalising CMMI: integrating CMMI and CoBIT perspective. Journal of Engineering, Design and Technology 9, 323–335.

Curtis, B., Hefley, B., Miller, J., (2009). People Capability Maturity Model (P-CMM) Version 2.0, Second Edition. Pittsburgh, PA, Carnegie Mellon University.

Zhang, Haiqing, Yacine Ouzrout, Abdelaziz Bouras, Vincenzo Della Selva, and Matteo Mario Savino. 2013. “Selection of Product Lifecycle Management Components Based on AHP Methodologies.” In Advanced Logistics and Transport (ICALT), 2013 International Conference On, 523–528.

H. Zhang, Y. Ouzrout, A. Bouras, A. Mazza, M. Savino . “PLM Components Selection Based on a Maturity Assessment and AHP Methodology”. International Conference on Product Lifecycle Management Conference (PLM’13), Nantes, France, 6-10July, 2013.

Haiqing Zhang , Yacine Ouzrout , Abdelaziz Bouras , Matteo Mario Savino. (2013) “Sustainability consideration within Product Lifecycle Management through Maturity Models Analysis”. Int. J. Services and Operations Management, Accepted.

Van Laarhoven, P. J. M., & Pedrycz, W. (1983). A fuzzy extension of Saaty's priority theory. Fuzzy sets and Systems, 11(1), 199-227.

Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy sets and systems,17(3), 233-247.

Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP.European journal of operational research, 95(3), 649-655.

Xu, R. (2000). Fuzzy least-squares priority method in the analytic hierarchy process. Fuzzy Sets and Systems, 112(3), 395-404.

Csutora, R., & Buckley, J. J. (2001). Fuzzy hierarchical analysis: the Lambda-Max method. Fuzzy sets and Systems, 120(2), 181-195.

Mikhailov, L., & Tsvetinov, P. (2004). Evaluation of services using a fuzzy analytic hierarchy process. Applied Soft Computing, 5(1), 23-33.

Srdjevic, B. (2005). Combining different prioritization methods in the analytic hierarchy process synthesis. Computers & Operations Research, 32(7), 1897-1919.

Wang, Y. M., Elhag, T., & Hua, Z. (2006). A modified fuzzy logarithmic least squares method for fuzzy analytic hierarchy process. Fuzzy Sets and Systems,157(23), 3055-3071.

Yu, J. R., & Cheng, S. J. (2007). An integrated approach for deriving priorities in analytic network process. European Journal of Operational Research, 180(3), 1427-1432.

L. A. Huo, J. B. Lan and Z. X. Wang, “New Parametric Prioritization Methods for an Analytical Hierarchy Process Based on a Pairwise Comparison Matrix,” Mathematical and Computer Modelling, Vol. 54, No. 11-12, 2011, pp. 2736-2749.

Rezaei, Jafar, Roland Ortt, and Victor Scholten. 2012. “An Improved Fuzzy Preference Programming to Evaluate Entrepreneurship Orientation.” Applied Soft Computing (December). doi:10.1016/j.asoc.2012.11.012.

R. Bellman, L.A. Zadeh, (1970). Decision-making in a fuzzy environment, Management Science. 17 (4) 141–164.

Downloads

Published

2022-05-20

How to Cite

A PLM components monitoring framework for SMEs based on a PLM maturity model and FAHP methodology. (2022). The Journal of Modern Project Management, 2(1). https://journalmodernpm.com/manuscript/index.php/jmpm/article/view/141

Similar Articles

1-10 of 281

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)