Have a personal or library account? Click to login
Computerized Decision Support System (CDSS) for engineering change management in automotive wiring harness projects Cover

Computerized Decision Support System (CDSS) for engineering change management in automotive wiring harness projects

Open Access
|Sep 2025

References

  1. Ahmed, B. S., Benbouzid, S., Nibouche, F., 2022. Design and Implementation of Smart Glasses with ISMS and Risk Management Functionalities for a Technical Operator. Ingénierie des Systèmes d’Information, 27(3), 415–423. DOI: 10.18280/isi.270307
  2. Albers, A., Altner, M. M., Rapp, S., Valeh, B., Redinger, H., Winter, R., 2022. Evaluation of engineering changes based on variations from the model of PGE – Product Generation Engineering in an automotive wiring harness. Proceedings of the Design Society, 2, 303–312. DOI: 10.1017/pds.2022.32
  3. Bass, L., Clements, P. et Kazman, R., 2012. Software architecture in practice. 3rd ed. Upper Saddle River, NJ: Addison-Wesley. ISBN 978-0-321-81573-6.
  4. Bouneffa, M., Ahmad, A., 2014. The change impact analysis in BPM based software applications: A graph rewriting and ontology based approach. In: Lecture Notes in Business Information Processing, pp.280–295. DOI: 10.1007/978-3-319-09492-2_17
  5. Cinelli, M., Ferraro, G., Iovanella, A., Lucci, G., Schiraldi, M. M., 2017. A network perspective on the visualization and analysis of bill of materials. International Journal of Engineering Business Management, 9. DOI: 10.1177/1847979017732638
  6. Denisov, D., Tomoradze, I., Bykova, A., 2021. Implementation of a process approach in the management of a higher educational institution. Ekonomika I Predprinimatel’stvo, 7(132), pp.1210–1214. DOI: 10.34925/eip.2021.132.7.220
  7. Duda, J., Oleszek, S., Santarek, K., 2024. The Impact of PLM Systems on the Digital Transformation of Manufacturing Companies, International Scientific-Technical Conference MANUFACTURING, Springer Nature Switzerland, 151–164.
  8. Fisher, M.L., Ittner, C.D., 1999. The impact of product variety on automobile assembly operations: Empirical evidence and simulation analysis. Management Science, 45(6), 771–786. DOI: 10.1287/mnsc.45.6.771
  9. France, R., Bruel, J., & Raghavan, G., 2002. Taming the Octopus: Using formal models to integrate the Octopus object-oriented analysis models. Florida Atlantic University, 8–13. DOI: 10.1109/hase.1997.648032
  10. Fujimoto, T., 2023. Evolution of the automobile industry. DOI: 10.1017/9781108658041
  11. Giddaluru, M.P., Gao, J., Bhatti, R., Shah, S., 2013. Requirements analysis in the implementation of integrated PLM, ERP and CAD Systems. Advances in Manufacturing Technology XXVII, Proceedings of the 11th International Conference on Manufacturing Research (ICMR 2013), Cranfield University, 45.
  12. Guerrero, R., Serrano-Hernandez, A., Pascual, J., Faulin, J., 2022. Simulation model for wire harness design in the car production line optimization using the SIMPY library. Sustainability, 14(12), 7212. DOI: 10.3390/su14127212
  13. Habib, H., Menhas, R., McDermott, O., 2022. Managing engineering change within the paradigm of product lifecycle management. Processes, 10(9), 1770. DOI: 10.3390/pr10091770
  14. Huang, G., Mak, K., 1999. Current practices of engineering change management in UK manufacturing industries. International Journal of Operations & Production Management, 19(1), 21–37. DOI: 10.1108/01443579910244205
  15. IMARC Group, 2025. Automotive Wiring Harness Market Size, Share, and Trends 2025–2033, Research and Markets, 126 pages, Report ID: 5946274. [Accessed online at: https://www.researchandmarkets.com/reports/5946274]
  16. Jose, D., Nanjundan, P., Paul, S., Mohanty, S.N., 2024. AI-Driven IoT systems for Industry 4.0. In: CRC Press eBooks. DOI: 10.1201/9781003432319
  17. Knackstedt, S., Sutton, M., & Summers, J.D., 2023. Part Change Management: A case study on automotive engineering and production; domestic and international perspectives. ASME Open Journal of Engineering, 2. DOI: 10.1115/1.4056813
  18. Kornienko, A.S., Moskvitin, O.A., & Berezgov, A.S., 2023. Plan-Do-Check-Act Model (PDCA) as a possible methodological basis for antimonopoly compliance. Russian Competition Law and Economy, 1, 68–79. DOI: 10.47361/2542-0259-2023-1-33-68-79
  19. Martirosyan, A., Ilyushin, Y., Afanaseva, O., Kukharova, T., Asadulagi, M., Khloponina, V., 2024. Development of an oil field’s conceptual model. International Journal of Engineering. Transactions B: Applications, 38(2), 381–388. DOI: 10.5829/ije.2025.38.02b.12
  20. Michalakoudis, I., Childs, P., Aurisicchio, M., & Harding, J., 2017. Using functional analysis diagrams to improve product reliability and cost. Advances in Mechanical Engineering, 9(1). DOI: 10.1177/1687814016685223
  21. Mulder, N. N., 2012. Value-based project management: een aanpak voor chaordische projecten vanuit het perspectief van het complexiteitsdenken. Eindhoven University of Technology Library. DOI: 10.6100/ir740171
  22. Rapôso, C.F.L., Silva, P.A.F., De Lima, H.M., De Oliveira, W.F., Junior, & De Souza Barros, E., 2019. GESTÃO DA QUALIDADE E DA PRODUÇÃO: Análise comparativa entre o PDCA e o DMAIC. RACE - Revista De Administração Do Cesmac, 4, 147–153. DOI: 10.3131/race.v4i0.1036
  23. Ranade, A., Gómez, J., De Juan, A., Chicaiza, W.D., Ahern, M., Escaño, J.M., Hryshchenko, A., Casey, O., Cloonan, A., O’Sullivan, D., Bruton, K., McGibney, A., 2024. Implementing Industry 4.0: An in-depth case study integrating digitalisation and modelling for decision support system applications. Energies, 17(8), 1818. DOI: 10.3390/en17081818
  24. Rodrigues, A., Honório, D., Cabral, D., & Campos, P. F., 2022. Exploring the creative process in a brainstorming session to develop a web-based system for idea selection. Creativity and Cognition, 59, 553–557. DOI: 10.1145/3527927.3535213
  25. Sawatdee, T., Chutima, P., 2017. Design process improvement for electric car harness. IOP Conference Series: Materials Science and Engineering, 215, 012011. DOI: 10.1088/1757-899X/215/1/012011
  26. Sardinha, L., Baleiras, J.V., Sousa, S., Lima, T.M., Gaspar, P.D., 2024. Decision Support System (DSS) for improving production ergonomics in the construction sector, Processes, 12(11), 2503. DOI: 10.3390/pr12112503
  27. Schnauffer, G., Görzig, D., Kosel, C., & Diemer, J., 2023. Asset Administration Shell for the wiring harness system. In ARENA2036, 324–332. DOI: 10.1007/978-3-031-27933-1_30
  28. Shamshiri, F., Shahnazari-Shahrezaei, P., Fallah, M., & Kazemipour, H., 2024. Fuzzy Dynamic modeling for export consortia in Small and Medium-Sized Enterprises. International Journal of Engineering, 37(7), 1422–1442. DOI: 10.5829/ije.2024.37.07a.19
  29. Simonazzi, A., Sanginés, J.J.C., Russo, M., 2020. The future of the automotive industry: dangerous challenges or new life for a saturated market. Ineteconomics, 1–34. DOI: 10.36687/inetwp141
  30. Sokovic, M., Pavletic, D., & Pipan, K. K., 2010. Quality improvement methodologies–PDCA cycle, RADAR matrix, DMAIC and DFSS. Journal of Achievements in Materials and Manufacturing Engineering, 43(1), 476–483.
  31. Talib, M.S.A., Hamid, A.B.A., Thoo, A.C., 2015. Critical success factors of supply chain management: A literature survey and Pareto analysis. EuroMed Journal of Business, 10(2), 234–263. DOI: 10.1108/emjb-09-2014-0028
  32. Thalheim, B., 2011. The theory of conceptual models, the theory of conceptual modelling and foundations of conceptual modelling. In: Springer eBooks, pp.543–577. DOI: 10.1007/978-3-642-15865-0_17
  33. Tharma, R., Winter, R., & Eigner, M., 2018. An approach for the implementation of the digital twin in the automotive wiring harness field. In: Proceedings of the International Design Conference – DESIGN 2018. DOI: 10.21278/idc.2018.0188
  34. Tryczak, J., Lis, A., Ziemiański, P., Czyżewicz, J., 2023. Towards a universal model of engineering change management. Journal of the Knowledge Economy, 15(3), 12422–12438. DOI: 10.1007/s13132-023-01576-3
  35. Valverde, R.I.M., Iturralde, E.T., Fajardo, L.G.C., Cevallos, W.A.N., Díaz, M.N.C., 2024. Los Key Performance Indicators (KPI) y su Importancia en las Microempresas de Guayaquil. Ciencia Latina Revista Científica Multidisciplinar, 8(4), 4316–4332. DOI: 10.37811/cl_rcm.v8i4.12657
  36. Wandusim, D. A., Bobobee, N. E. Y. H., Abunde, N. F., Awuah, N. E., & Ampomah, N. M. A., 2023. Development and testing of a double-row adjustable disc ridger. Journal of the Ghana Institution of Engineering (JGhIE), 23(1), 21–32. DOI: 10.56049/jghie.v23i1.58
  37. Yao, Y., Patterson, E.A., Taylor, R.J., 2023. The influence of digital technologies on knowledge management in engineering: A systematic literature review. IEEE Transactions on Knowledge and Data Engineering, 1–15. DOI: 10.1109/tkde.2023.3285952
DOI: https://doi.org/10.30657/pea.2025.31.33 | Journal eISSN: 2353-7779 | Journal ISSN: 2353-5156
Language: English
Page range: 356 - 375
Submitted on: May 8, 2025
Accepted on: Jul 18, 2025
Published on: Sep 26, 2025
Published by: Quality and Production Managers Association
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Houda Lahyani, Ahmad Al Khatib, Abdelfettah Sedqui, published by Quality and Production Managers Association
This work is licensed under the Creative Commons Attribution 4.0 License.