[1] A.E. Akgun and H. Keskin, Team intuition and creativity in new product development projects: A multi-faceted perspective, J. Engin. Technol. Manag. 62 (2021), 101660.
[2] S. Baysan, M.B. Durmusoglu, and D. Cinar, Team based labour assignment methodology for new product development projects, Comput. Ind. Engin. 106 (2017), 83–104.
[3] P. Carbonell and A.I. Rodriguez-Escudero, Management control, role expectations and job satisfaction of new product development teams: The moderating effect of participative decision-making, Ind. Market. Manag. 42 (2013), no. 2, 248–259.
[4] H.-C. Chang, M.-T. Tsai, and C.-L. Tsai, Complex organizational knowledge structures for new product development teams, Knowledge-Based Syst. 24 (2011), no. 5, 652–661.
[5] J.F. de Almeida, D.C. Amaral, and R.T. Coelho, Innovative framework to manage new product development (NPD) integrating additive manufacturing (AM) and agile management, Procedia CIRP 103 (2021), 128–133.
[6] K. Deb, Multi-objective optimisation using evolutionary algorithms: an introduction, Multi-objective evolutionary optimisation for product design and manufacturing, Springer, 2011, pp. 3–34.
[7] B. Felekoglu, A.M. Maier, and J. Moultrie, Interactions in new product development: How the nature of the NPD process influences interaction between teams and management, J. Engin. Technol. Manag. 30 (2013), no. 4, 384–401.
[8] H. Feng, W. Da, L. Xi, E. Pan, and T. Xia, Solving the integrated cell formation and worker assignment problem using particle swarm optimization and linear programming, Comput. Ind. Engin. 110 (2017), 126–137.
[9] E.L. Fitzpatrick and R.G. Askin, Forming effective worker teams with multi-functional skill requirements, Comput. Ind. Engin. 48 (2005), no. 3, 593–608.
[10] J.W. Gilley, M.L. Morris, A.M. Waite, T. Coates, and A. Veliquette, Integrated theoretical model for building effective teams, Adv. Dev. Human Resourc. 12 (2010), no. 1, 7–28.
[11] K.S. Jafari, R. Radfar, and R. Hosnavi, Demonstration of technology management functions in new product development; according to fuzzy AHP method, Innov. Manag. J. 1 (2013), no. 1, 41–60. [12] R.P. Lee, Y.Wang, S. Ma, and J. Anderson, When does customer participation influence new product performance? The role of ambiguity and strategic collaboration, Ind. Market. Manag. 104 (2022), 276–288.
[13] G. Mavrotas, Effective implementation of the ε-constraint method in multi-objective mathematical programming problems, Appl. Math. Comput. 213 (2009), no. 2, 455–465.
[14] A. Mohaghar and A. Mostafavi, Designing a model for selecting project team based on fuzzy approach, Manag. Res. Iran 11 (2021), no. 3, 207–232.
[15] P. Patanakul, J. Chen, and G.S. Lynn, Autonomous teams and new product development, J. Product Innov. Manag. 29 (2012), no. 5, 734–750.
[16] G. Ringen, H. Holtskog, and K. Martinsen, User-friendly framework for measuring product and process novelty in the early stages of product development, Procedia CIRP 3 (2012), 513–518.
[17] J.R. Schott, Fault-tolerant design using single and multicriteria genetic algorithm optimization, Ph.D. thesis, Massachusetts Institute of Technology, 1995.
[18] N. Srinivas and K. Deb, Multiobjective optimization using nondominated sorting in genetic algorithms, Evol. Comput. 2 (1994), no. 3, 221–248.
[19] H.-T. Tseng, N. Aghaali, and N. Hajli, Customer agility and big data analytics in new product context, Technol. Forecast. Soc. Change 180 (2022), 121690.
[20] S. Wahyuni, S.H. Susilowati, R.D. Yofa, and D.H. Azahari, Labor allocation dynamics, problem, and strategy for plantation development in Indonesia, IOP Conf. Ser.: Earth Envir. Sci., vol. 892, 2021, p. 012092.
[21] S.S. Xiao, Y.K. Lew, and B.I. Park, International new product development performance, entrepreneurial capability, and network in high-tech ventures, J. Bus. Res. 124 (2021), 38–46.
[22] O.F. Yilmaz, G. Ozcelik, and F.B. Yeni, Lean holistic fuzzy methodology employing cross-functional worker teams for new product development projects: a real case study from high-tech industry, Eur. J. Oper. Res. 282 (2020), no. 3, 989–1010.
[23] E. Zitzler, M. Laumanns, and L. Thiele, SPEA2:: Improving the strength Pareto evolutionary algorithm, TIK Rep. 103 (2001).