A Value-driven Concurrent Approach for Aircraft Design-Manufacturing-Supply Chain

References

• ACARE. (2011). Flightpath 2050. Europe’s Vision for Aviation; maintaining global leadership and serving Society’s needs; report of the high-level group on Aviation research. ISBN 978-92-79-19724-6.: Publications Office of the European Union.
   Google Scholar
• Alinaghian, M., & Goli, A. (2017). Location, allocation and routing of temporary health centers in rural areas in crisis, solved by improved harmony search algorithm. International Journal of Computational Intelligence Systems, 10(1), 894–23. https://doi.org/10.2991/ijcis.2017.10.1.60
   Web of Science ®Google Scholar
• Aviation. Aviation Troubleshooting. 2023 9 11 Retrieved from http://aviationtroubleshooting.blogspot.com/2013/04/boeing-737s-horizontal-stabilizer-must.html
   Google Scholar
• Bertoni, A., Amneli, H., & Isaksson, O. (2015). Value modelling in aerospace sub-system design: linking quantitative and qualitative assessment. 20th International Conference on Engineering Design, ICED15. Milan, Italy: The Design Society.
   Google Scholar
• Bertoni A. & Bertoni M. (2019). Supporting early stage set-based concurrent engineering with value driven design. Proceedings of the Design Society: International Conference on Engineering Design, (Vol 1, No 1, pp. 2367 – 237). Cambridge University Press.
   Google Scholar
• Bertoni, M., Bertoni, A., & Isaksson, O. (2018). Evoke: A value-driven concept selection method for early system design. Journal of Systems Science and Systems Engineering, 27(1), 46–77. https://doi.org/10.1007/s11518-016-5324-2
   Web of Science ®Google Scholar
• Bertoni, A., Bertoni, M., Panarotto, M., Johansson, C., & Larsson, T. C. (2016). Value-driven product service systems development: Methods and industrial applications. CIRP Journal of Manufacturing Science and Technology, 15, 42–55. https://doi.org/10.1016/j.cirpj.2016.04.008
   Web of Science ®Google Scholar
• Bertoni, A., Hallstedt, S. I., Dasari, S. K., & Andersson, P. (2020). Integration of value and sustainability assessment in design space exploration by machine learning: An aerospace application. Design Science.
   Google Scholar
• Blackhurst, J., Wu, T., & O’Grady, P. (2005). PCDM: A decision support modeling methodology for supply chain, product and process design decisions. Journal of Operations Management, 23(3–4), 325–343. https://doi.org/10.1016/j.jom.2004.05.009
   Web of Science ®Google Scholar
• Brown, O., & Eremenko, P. (2008). Application of value-centric design to space architectures: The case of fractionated spacecraft. In AIAA SPACE 2008 conference & exposition, (p. 7869). San Diego, California.
   Google Scholar
• Castagne, S., Curran, R., & Collopy, P. (2009). Implementation of value-driven optimisation for the design of aircraft fuselage panels. International Journal of Production Economics, 117(2), 381–388. https://doi.org/10.1016/j.ijpe.2008.12.005
   Web of Science ®Google Scholar
• Cheung, J., Scanlan, J., & Wiseall, S. (2008). Value driven design—an initial study applied to novel aerospace components in Rolls-Royce plc. Collaborative Product and Service Life Cycle Management for a Sustainable World: Proceedings of the 15th ISPE International Conference on Concurrent Engineering (CE2008) (pp. 241–248). London: Springer.
   Google Scholar
• Cheung, J., Scanlan, J., Wong, J. et al. (2012). Application of value-driven design to commercial aeroengine systems. Journal of Aircraft, 49(3), 688–720. https://doi.org/10.2514/1.C031319
   Web of Science ®Google Scholar
• Christopher, M., & Towill, D. (2001). An integrated model for the design of agile supply chains. International Journal of Physical Distribution & Logistics Management, 31(4), 235–246. https://doi.org/10.1108/09600030110394914
   Google Scholar
• Christopher, M., & Towill, D. (2002). Developing market specific supply chain strategies. The International Journal of Logistics Management, 13(1), 1–14. https://doi.org/10.1108/09574090210806324
   Google Scholar
• Ciampa, P. D., & Nagel, B. (2021). Accelerating the Development of Complex Systems in Aeronautics via MBSE and MDAO: a Roadmap to Agility. In AIAA Aviation 2021. Virtual.
   Google Scholar
• Collopy, P. D., & Hollingsworth, P. M. (2011). Value-driven design. Journal of Aircraft, 48(3), 749–759. https://doi.org/10.2514/1.C000311
   Web of Science ®Google Scholar
• Debnath, B., Shakur, M. S., Tanjum, F., Rahman, M. A., & Adnan, Z. H. (2022). Impact of additive manufacturing on the supply chain of aerospace Spare Parts Industry—A Review. Logistics, 6(2), 28. https://doi.org/10.3390/logistics6020028
   Google Scholar
• de Mello, J. M., Trabasso, L. G., Reckevcius, A. C., Palmeira, A. L., Reiss, P., & Caraca, W. (2020). A novel jigless process applied to a robotic cell for aircraft structural assembly. International Journal of Advanced Manufacturing Technology, 109(3–4), 1177–1187. https://doi.org/10.1007/s00170-020-05700-4
   Web of Science ®Google Scholar
• DiPasquale, D., & Savill, M. (2022). The importance of coupling aerodynamic and cost analysis in aircraft design. CEAS Aeronautical Journal, 1085–1100
   Google Scholar
• DLR. (2022a, 07 20). Official CPACS Webpage. Retrieved 10 23, 2020, from CPACS: http://cpacs.de
   Google Scholar
• DLR. (2022b, 07 20). Official RCE website Retrieved 10 23, 2020, from RCE. German Aerospace Center). https://rcenvironment.de/
   Google Scholar
• Donelli, G., Ciampa, P. D., Mello, M. G., Odaguil, F. I., Lemos, G. F., Cuco, A. P., & Nagel, B. 2021. A model-based approach to trade-space evaluation coupling design-manufacturing-supply chain in the early stages of aircraft development. AIAA Conference. Virtual.
   Google Scholar
• Duverlie, P., & Castelain, J. M. (1999). Cost estimation during design step: Parametric method versus case based reasoning method. The International Journal of Advanced Manufacturing Technology, 15(12), 895–906. https://doi.org/10.1007/s001700050147
   Web of Science ®Google Scholar
• Elizalde, R. J. (2012). To assess transit transport corridor performance. UNECE WP30 - Round table on best practices at border crossings. https://unece.org/fileadmin/DAM/trans/events/docs/WP30_Jun12_Sadat.pdf
   Google Scholar
• Ellram, L. M., Tate, W. L., & Carter, C. R. (2007). Product‐process‐supply chain: An integrative approach to three‐dimensional concurrent engineering. International Journal of Physical Distribution & Logistics Management, 37(4), 305–330. https://doi.org/10.1108/09600030710752523
   Google Scholar
• Ettlie, J. E. (1995). Product-process development integration in manufacturing. Management Science, 41(7), 1224–1237. https://doi.org/10.1287/mnsc.41.7.1224
   Web of Science ®Google Scholar
• Fine, C. H. (2010). Clockspeed: Winning industry control in the age of temporary advantage. ReadHowyouwant: Com.
   Google Scholar
• Fine, C. H., Golany, B., & Naseraldin, H. (2005). Modeling tradeoffs in three-dimensional concurrent engineering: A goal programming approach. Journal of Operations Management, 23(3–4), 389–403. https://doi.org/10.1016/j.jom.2004.09.005
   Web of Science ®Google Scholar
• Fixson, S. K. (2005). Product architecture assessment: A tool to link product, process, and supply chain design decisions. Journal of Operations Management, 23(3–4), 345–369. https://doi.org/10.1016/j.jom.2004.08.006
   Web of Science ®Google Scholar
• Forbis, J. L., & Mehta, N. T. (1981). Value-based strategies for industrial products. Business Horizons, 24(3), 32–42. https://doi.org/10.1016/0007-6813(81)90125-7
   Web of Science ®Google Scholar
• Forza, C., Salvador, F., & Rungtusanatham, M. (2005). Coordinating product design, process design, and supply chain design decisions: Part B. Coordinating approaches, tradeoffs, and future research directions. Journal of Operations Management, 23(3–4), 319–324. https://doi.org/10.1016/j.jom.2004.10.001
   Web of Science ®Google Scholar
• Gokhan, N. M., Needy, K. L., & Norman, B. A. (2010). Development of a simultaneous design for supply chain process for the optimization of the product design and supply chain configuration problem. Engineering Management Journal, 22(4), 20–30. https://doi.org/10.1080/10429247.2010.11431876
   Web of Science ®Google Scholar
• Gokhan, N. M., Needy, K. L., Norman, B. A., & Hunsaker, B. 2008. Benefits of incorporating supply chain decisions into the product design via design for supply chain. IIE Annual Conference. Proceedings. Institute of Industrial and Systems Engineers (IISE) 390.
   Google Scholar
• Goli, A., & Keshavarz, T. (2022). Just-in-time scheduling in identical parallel machine sequence-dependent group scheduling problem. Journal of Industrial and Management Optimization, 18(6), 3807–3830. https://doi.org/10.3934/jimo.2021124
   Web of Science ®Google Scholar
• Gonzalez, R., & Wu, G. (1999). On the shape of the probability weighting function. Cognitive Psychology, 38(1), 129–166. https://doi.org/10.1006/cogp.1998.0710
   PubMed Web of Science ®Google Scholar
• Guide, A. (2001). Project management body of knowledge (pmbok® guide). Project Management Institute.
   Google Scholar
• Hallstedt, S. I. (2017). Sustainability criteria and sustainability compliance index for decision support in product development. Journal of Cleaner Production, 140, 251–266. https://doi.org/10.1016/j.jclepro.2015.06.068
   Web of Science ®Google Scholar
• Hayes, R. H. (1979a). The dynamics of process-product life cycle. Harvard Business Review, 127–136. https://hbr.org/1979/03/the-dynamics-of-process-product-life-cycles
   Web of Science ®Google Scholar
• Hayes, R. H. (1979b). Link manufacturing process and product life cycle. Harvard Business Review, 133–140. https://books.google.de/books?hl=en&lr=&id=wnIhuahCMiEC&oi=fnd&pg=PA30&dq=Hayes+1979&ots=gJ6vAYy1zU&sig=JsUmMXR7d-wrJyWwIjYK5WIXG4U#v=onepage&q=Hayes%201979&f=false.
   PubMed Web of Science ®Google Scholar
• Horng, T. C. (2006). A comparative analysis of supply chain management practices by Boeing and Airbus : Long-term strategic implications. Department of Civil and Environmental Engineering, Institute of Techonology.
   Google Scholar
• IGISMAP. (2022, 7 15). Haversine Formula. Retrieved from Haversine Formula: https://www.igismap.com/haversine-formula-calculate-geographic-distance-earth/
   Google Scholar
• Ilhami, M. A., & Masruroh, N. A. 2018. Trade-offs mathematical modelling of 3DCE in new product development: Real three dimensions and directions for development IOP Conference Series: Materials Science and Engineering, 337 012025
   Google Scholar
• Keeney, L. R., & Howard, R. (1993). Decisions with multiple objectives, preferences and value tradeoffs. Cambridge University Press.
   Google Scholar
• Kim, J. S., Ritzman, L. P., Benton, W. C., & Snyder, D. L. (1992). Linking product planning and process design decisions. Decision Sciences, 23(1), 44–60. https://doi.org/10.1111/j.1540-5915.1992.tb00376.x
   Web of Science ®Google Scholar
• Kopczak, L. R., & Johnson, M. E. (2003). The supply-chain management effect. MIT Sloan Management Review, 27–34.
   Web of Science ®Google Scholar
• Labbi, O., Ouzizi, L., & Douimi, M. (2015). Simultaneous design of a product and its supply chain integrating reverse logistic operations: An optimization model. In Xth International Conference on Integrated Design and Production. Tanger, Morocco.
   Google Scholar
• Lin, M. C., Wang, C. C., Chen, M. S., & Chang, C. A. (2008). Using AHP and TOPSIS approaches in customer-driven product design process. Computers in Industry, 59(1), 17–31. https://doi.org/10.1016/j.compind.2007.05.013
   Web of Science ®Google Scholar
• Mathisen, T. A., Hanssen, T. E., Jørgensen, F., & Larsen, B. (2015). Ranking of transport modes-intersections between price curves for transport by truck, rail, and water. European Transport, 57, 1825–3997.
   Google Scholar
• McManus, H., Richards, M., Ross, A., & Hastings, D. (2007). A framework for incorporating“ilities” in tradespace studies. AIAA Space 2007 conference and exposition Long Beach, California, (p. 6100).
   Google Scholar
• Miles, L. 1962. Techniques of value analysis and engineering 6th Annual Inland Empire Quality Control Conferene California.
   Google Scholar
• Moinzadeh, K. (2002). A multi-echelon inventory system with information exchange. Management Science, 48(3), 414–426. https://doi.org/10.1287/mnsc.48.3.414.7730
   Web of Science ®Google Scholar
• Nepal, B., Monplaisir, L., & Famuyiwa, O. (2012). Matching product architecture with supply chain design. European Journal of Operational Research, 216(2), 312–325. https://doi.org/10.1016/j.ejor.2011.07.041
   Web of Science ®Google Scholar
• Normann, R., & Ramirez, R. (1993). From value chain to value constellation: Designing interactive strategy. Harvard Business Review 71(4) , 65–77.
   PubMed Web of Science ®Google Scholar
• O’Leary-Kelly, S. W., & Flores, B. E. (2002). The integration of manufacturing and marketing/sales decisions: Impact on organizational performance. Journal of Operations Management, 20(3), 221–240. https://doi.org/10.1016/S0272-6963(02)00005-0
   Web of Science ®Google Scholar
• O’Neill, M., Yue, H., Nag, S., Grogan, P., & de Weck, O. (2010). Comparing and optimizing the DARPA system F6 program value-centric design methodologies. In AIAA SPACE 2010 Conference & Exposition, (p. 8828). Anaheim; California.
   Google Scholar
• Page Risueño, A., Bussemaker, J., Ciampa, P. D., & Nagel, B. (2020). Mdax: Agile generation of collaborative MDAO workflows for complex systems AIAA Aviation 2020 Virtual, p. 3133.
   Google Scholar
• Petersen, K. J., Handfield, R. B., & Ragatz, G. L. (2005). Supplier integration into new product development: Coordinating product, process and supply chain design. Journal of Operations Management, 23(3–4), 371–388. https://doi.org/10.1016/j.jom.2004.07.009
   Web of Science ®Google Scholar
• Qiao, L., Lv, S. P., & Ge, C. (2011). Process planning and supply chain integration: Implications for design process. Global Product Development, 9–17. https://doi.org/10.1007/978-3-642-15973-2_2
   Google Scholar
• Raymer, D. P. (2012). Aircraft design: A conceptual approach. AIAA Education Series.
   Google Scholar
• Rose-Anderssen, C., Baldwin, J., Ridgway, K., Allen, P., Varga, L., & Strathern, M. (2009). A cladistic classification of commercial aerospace supply chain evolution. Journal of Manufacturing Technology Management, 20(2), 235–257. https://doi.org/10.1108/17410380910929646
   Google Scholar
• Ross, A. M., Hastings, D. E., Warmkessel, J. M., & Diller, N. P. (2004). Multi-attribute tradespace exploration as front end for effective space system design. Journal of Spacecraft and Rockets, 41(1), 20–28. https://doi.org/10.2514/1.9204
   Web of Science ®Google Scholar
• Ross, A., O’Neill, M. G., Hastings, D., & Rhodes, D. (2010). Aligning perspectives and methods for value-driven design. In AIAA Space 2010 Conference & Exposition, (p. 8797). Anaheim, California.
   Google Scholar
• Ross, A. M., Rhodes, D. H., & Fitzgerald, M. E. (2005). Interactive value model trading for resilient systems decisions. Procedia Computer Science, 44, 639–648. https://doi.org/10.1016/j.procs.2015.03.035
   Google Scholar
• Rungtusanatham, M., & Forza, C. (2005). Coordinating product design, process design, and supply chain design decisions: Part A: Topic motivation, performance implications, and article review process. Journal of Operations Management, 23(3–4), 257–265. https://doi.org/10.1016/j.jom.2004.10.013
   Web of Science ®Google Scholar
• Saaty, T. L. (1980). The analytic hierarchy process McGraw Hill, new York. Agricultural Economics Review, 70. https://doi.org/10.1002/0470011815.b2a4a002
   Google Scholar
• Safizadeh, M. H., Ritzman, L. P., Wood, C., & Wood, C. (1996). An empirical analysis of the product-process matrix. Management Science, 42(11), 1576–1591. https://doi.org/10.1287/mnsc.42.11.1576
   Web of Science ®Google Scholar
• Sahu, A. K., Narang, H. K., Rajput, M. S., Sahu, N. K., & Sahu, A. K. (2018). Performance modeling and benchmarking of green supply chain management: An integrated fuzzy approach. Benchmarking: An International Journal, 25(7), 2248–2271. https://doi.org/10.1108/BIJ-02-2017-0032
   Web of Science ®Google Scholar
• Sassone, P. G., & Schaffer, W. A. (1978). Cost-benefit analysis: A handbook. Academic Press.
   Google Scholar
• Sauvage, T. (2003). The relationship between technology and logistics third‐party providers. International Journal of Physical Distribution & Logistics Management, 33(3), 236–253. https://doi.org/10.1108/09600030310471989
   Google Scholar
• Shapiro, B. P., & Jakson, B. B. (1978). Industrial pricing to meet customer needs. Harvard Business Review, 119–127.
   Web of Science ®Google Scholar
• Shidpour, H., Bernard, A., & Shahrokhi, M. (2013). A group decision-making method based on intuitionistic fuzzy set in the three dimensional concurrent engineering environment: A multi-o bjective programming approach. Procedia CIRP, 7, 533–538. https://doi.org/10.1016/j.procir.2013.06.028
   Google Scholar
• Shidpour, H., Shahrokhi, M., & Bernard, A. (2013). A multi-objective programming approach, integrated into the TOPSIS method, in order to optimize product design; in three-dimensional concurrent engineering. Computers & Industrial Engineering, 64(4), 875–885. https://doi.org/10.1016/j.cie.2012.12.016
   Web of Science ®Google Scholar
• Simatupang, T. M., & Sridharan, R. (2005). The collaboration index: A measure for supply chain collaboration. International Journal of Physical Distribution & Logistics Management, 35(1), 44–62. https://doi.org/10.1108/09600030510577421
   Google Scholar
• Singh, N. (2002). Integrated product and process design: A multi-objective modeling framework. Robotics and Computer-Integrated Manufacturing, 18(2), 157–168. https://doi.org/10.1016/S0736-5845(01)00030-8
   Web of Science ®Google Scholar
• Småros, J., Lehtonen, J. M., Appelqvist, P., & Holmström, J. (2003). The impact of increasing demand visibility on production and inventory control efficiency. International Journal of Physical Distribution & Logistics Management, 33(4), 336–354. https://doi.org/10.1108/09600030310478801
   Google Scholar
• Tirkolaee, E. B., Goli, A., Ghasemi, B., & Goofarzian, F. (2022). Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms. Journal of Cleaner Production, 333, 130056. https://doi.org/10.1016/j.jclepro.2021.130056
   PubMed Web of Science ®Google Scholar
• Walden, D. D., Roedler, G. J., & Forsberg, K. (2015). Systems Engineering Handbook: A guide for system life cycle processes and activities Fourth Edition.
   Google Scholar
• Wang, G., Huang, S. H., & Dismukes, J. P. (2004). Product-driven supply chain selection using integrated multi-criteria decision-making methodology. International Journal of Production Economics, 91(1), 1–5. https://doi.org/10.1016/S0925-5273(03)00221-4
   Web of Science ®Google Scholar
• Wang, W., Huang, L., Zhu, Y., Jiang, L., Sahu, A. K., Sahu, N. K., & Sahu, N. K. (2020). Decision support system toward evaluation of resilient supplier: A novel fuzzy gain-loss computational approach. Kybernetes, 49(6), 1741–1765. https://doi.org/10.1108/K-05-2019-0345
   Web of Science ®Google Scholar
• Wöhler, S., Atanasov, G., Silberhorn, D., Fröhler, B., & Zill, T. (2020). Preliminary aircraft design with a multidisciplinary and multifidelity design environment. AeroSpace Europe Conference. Bordeaux, France.
   Google Scholar
• Wu, T., & O’Grad, P. (1999). A concurrent engineering approach to design for assembly. Concurrent Engineering, 7(3), 231–243. https://doi.org/10.1177/1063293X9900700305
   Web of Science ®Google Scholar
• Yao, X., & Askin, R. (2019). Review of supply chain configuration and design decision-making for new product. International Journal of Production Research, 57(7), 2226–2246. https://doi.org/10.1080/00207543.2019.1567954
   Web of Science ®Google Scholar