Decision Method Focused on the Fuzzy Front-End Phase: A Study Applied to the Development of an Electronic Starting Block for Running Athletes
How to cite (IJASEIT) :
R. G. Cooper, “Perspective: The stage-gates® idea-to-launch process - Update, what’s new, and NexGen systems,” Journal of Product Innovation Management, vol. 25, no. 3, pp. 213-232, 2008, doi: 10.1111/j.1540-5885.2008.00296.x.
K. T. Ulrich and S. D. Eppinger, Product design and development., 5th ed. New York: McGraw-Hill, 2012.
C. M. Crawford and C. A. DiBenedetto, New products management, 10th ed. McGraw-Hill, 2010.
N. Iheanachor, I. O. Umukoro, and O. David-West, “The role of product development practices on new product performance: Evidence from Nigeria’s financial services providers,” Technological Forecasting and Social Change, vol. 164, 2021, doi: 10.1016/j.techfore.2020.120470.
C. Relvas and A. Ramos, “New methodology for product development process using structured tools,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 235, no. 3, pp. 378-393, 2021, doi: 10.1177/0954405420971228.
J. Oh, J. Yang, and S. Lee, “Managing uncertainty to improve decision-making in NPD portfolio management with a fuzzy expert system,” Expert Systems with Applications, vol. 39, no. 10, pp. 9868-9885, 2012, doi: 10.1016/j.eswa.2012.02.164.
P. G. Smith and D. G. Reinertsen, Developing products in half the time. New York: Van Nostrand Reinhold, 1991.
C. L. K. Yamamura, C. O. Ribeiro, D. Dantas, J. A. Quintanilha, and F. T. Berssaneti, “The front-end of product development as systems thinking and predictive learning,” in Procedia Manufacturing, 2019, vol. 39, pp. 1346-1353. doi: 10.1016/j.promfg.2020.01.323.
D. Park, J. Han, and P. R. N. Childs, “266 Fuzzy front-end studies: current state and future directions for new product development,” Research in Engineering Design, vol. 32, no. 3, pp. 377-409, 2021, doi: 10.1007/s00163-021-00365-w.
A. Bhatia, J. Cheng, S. Salek, V. Chokshi, and A. Jetter, “Improving the effectiveness of fuzzy front end management: Expanding stage-gate methodologies through agile,” in PICMET 2017 - Portland International Conference on Management of Engineering and Technology: Technology Management for the Interconnected World, Proceedings, 2017, vol. 2017-Janua, pp. 1-8. doi: 10.23919/PICMET.2017.8125390.
A. Albers, J. Reinemann, T. Hirschter, J. Fahl, and N. Heitger, “Validation-driven design in the early phase of product development,” in Procedia CIRP, 2019, vol. 84, pp. 630-637. doi: 10.1016/j.procir.2019.04.211.
E. Kern et al., “Sustainable software products—Towards assessment criteria for resource and energy efficiency,” Future Generation Computer Systems, vol. 86, pp. 199-210, 2018, doi: 10.1016/j.future.2018.02.044.
R. G. Cooper, “The drivers of success in new-product development,” Industrial Marketing Management, vol. 76, pp. 36-47, 2019, doi: 10.1016/j.indmarman.2018.07.005.
T. Morgan, M. Obal, and S. Anokhin, “Customer participation and new product performance: Towards the understanding of the mechanisms and key contingencies,” Research Policy, vol. 47, no. 2, pp. 498-510, 2018, doi: 10.1016/j.respol.2018.01.005.
M. Vaquero Martín, “Communicating new product development openness - The impact on consumer perceptions and intentions,” European Management Journal, 2021, doi: 10.1016/j.emj.2021.01.004.
A. Sihvonen and K. Pajunen, “Causal complexity of new product development processes: a mechanism-based approach,” Innovation: Organization and Management, vol. 21, no. 2, pp. 253-273, 2019, doi: 10.1080/14479338.2018.1513333.
X. Zhang and V. Thomson, “Modelling the development of complex products using a knowledge perspective,” Research in Engineering Design, vol. 30, no. 2, pp. 203-226, 2019, doi: 10.1007/s00163-017-0274-3.
R. D. S. Bolaños and S. C. M. Barbalho, “Exploring product complexity and prototype lead-times to predict new product development cycle-times,” International Journal of Production Economics, vol. 235, 2021, doi: 10.1016/j.ijpe.2021.108077.
J. Yang, D. Tang, S. Li, Q. Wang, and H. Zhu, “An improved iterative stochastic multi-objective acceptability analysis method for robust alternative selection in new product development,” Advanced Engineering Informatics, vol. 43, 2020, doi: 10.1016/j.aei.2020.101038.
S. A. Mousavi, H. Seiti, A. Hafezalkotob, S. Asian, and R. Mobarra, “Application of risk-based fuzzy decision support systems in new product development: An R-VIKOR approach,” Applied Soft Computing, vol. 109, 2021, doi: 10.1016/j.asoc.2021.107456.
M. Relich and P. Pawlewski, “A fuzzy weighted average approach for selecting portfolio of new product development projects,” Neurocomputing, vol. 231, pp. 19-27, 2017, doi: 10.1016/j.neucom.2016.05.104.
C.-S. Ying, Y.-L. Li, K.-S. Chin, H.-T. Yang, and J. Xu, “A new product development concept selection approach based on cumulative prospect theory and hybrid-information MADM,” Computers and Industrial Engineering, vol. 122, pp. 251-261, 2018, doi: 10.1016/j.cie.2018.05.023.
A. Liu, H. Hu, X. Zhang, and D. Lei, “Novel Two-Phase Approach for Process Optimization of Customer Collaborative Design Based on Fuzzy-QFD and DSM,” IEEE Transactions on Engineering Management, vol. 64, no. 2, pp. 193-207, 2017, doi: 10.1109/TEM.2017.2651052.
C. Kahraman, F. K. Gí¼ndoÄŸdu, A. KaraÅŸan, and E. Boltí¼rk, Advanced Fuzzy Sets and Multicriteria Decision Making on Product Development, vol. 279. 2020. doi: 10.1007/978-3-030-42188-5_15.
W.-C. Chen, Y.-F. Lin, K.-P. Liu, H.-P. Chang, L.-Y. Wang, and P.-H. Tai, “A Complete MCDM Model for NPD Performance Assessment in an LED-Based Lighting Plant Factory,” Mathematical Problems in Engineering, vol. 2018, 2018, doi: 10.1155/2018/7049208.
M. Khastehdel and S. Mansour, “Developing a dynamic model for idea selection during fuzzy front end of innovation,” in 2018 7th International Conference on Industrial Technology and Management, ICITM 2018, 2018, vol. 2018-Janua, pp. 78-82. doi: 10.1109/ICITM.2018.8333923.
O. Sankowski et al., “Challenges in early phase of product family development processes,” in Procedia CIRP, 2021, vol. 100, pp. 840-845. doi: 10.1016/j.procir.2021.05.034.
L. C. Cheng and Leonel Del Rey de Melo Filho, QFD: desdobramento da funí§í£o qualidade na gestí£o de desenvolvimento de produtos. Editora Blucher, 2007.
S. Milunovic Koprivica and J. Filipovic, “Application of Traditional and Fuzzy Quality Function Deployment in the Product Development Process,” EMJ - Engineering Management Journal, vol. 30, no. 2, pp. 98-107, 2018, doi: 10.1080/10429247.2018.1438027.
A. Fetanat and M. Tayebi, “Sustainable design of the household water treatment systems using a novel integrated fuzzy QFD and LINMAP approach: a case study of Iran,” Environment, Development and Sustainability, vol. 23, no. 10, pp. 15031-15061, 2021, doi: 10.1007/s10668-021-01284-5.
S. M. Li, F. T. S. Chan, Y. P. Tsang, and H. Y. Lam, “New product idea selection in the fuzzy front end of innovation: A fuzzy best-worst method and group decision-making process,” Mathematics, vol. 9, no. 4, pp. 1-18, 2021, doi: 10.3390/math9040337.
H. Lí¼uthen et al., Finding the best: Mathematical optimization based on product and process requirements. 2017. doi: 10.1007/978-3-319-52377-4_5.
T. Keiningham et al., “Customer experience driven business model innovation,” Journal of Business Research, vol. 116, pp. 431-440, 2020, doi: 10.1016/j.jbusres.2019.08.003.
H. Kí¤rkkí¤inen, P. Piippo, and M. Tuominen, “Ten tools for customer-driven product development in industrial companies,” International Journal of Production Economics, vol. 69, no. 2, pp. 161-176, 2001, doi: 10.1016/S0925-5273(00)00030-X.
J. Zhang, A. Simeone, P. Gu, and B. Hong, “Product features characterization and customers’ preferences prediction based on purchasing data,” CIRP Annals, vol. 67, no. 1, pp. 149-152, 2018, doi: 10.1016/j.cirp.2018.04.020.
J. Xie, Q. Qin, and M. Jiang, “Multiobjective Decision-Making for Technical Characteristics Selection in a House of Quality,” Mathematical Problems in Engineering, vol. 2020, 2020, doi: 10.1155/2020/9243142.
Y.-J. Wang, “A fuzzy multi-criteria decision-making model based on simple additive weighting method and relative preference relation,” Applied Soft Computing Journal, vol. 30, pp. 412-420, 2015, doi: 10.1016/j.asoc.2015.02.002.
F. C. Zola, J. C. Colmenero, F. V. Aragí£o, T. Rodrigues, and A. B. Junior, “Multicriterial model for selecting a charcoal kiln,” Energy, vol. 190, 2020, doi: 10.1016/j.energy.2019.116377.
M. Alemi-Ardakani, A. S. Milani, S. Yannacopoulos, and G. Shokouhi, “On the effect of subjective, objective and combinative weighting in multiple criteria decision making: A case study on impact optimization of composites,” Expert Systems with Applications, vol. 46, pp. 426-438, 2016, doi: 10.1016/j.eswa.2015.11.003.
Kistler Group., “Blocks Multicomponent Force Measurement for Sprint Starts. ,” https://www.kistler.com/?type=669&fid=40548&model=document. , Jan. 2020.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).