پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شماره‌ها | 671 |
| تعداد مقالات | 9,781 |
| تعداد مشاهده مقاله | 69,555,547 |
| تعداد دریافت فایل اصل مقاله | 48,684,288 |
Designing and explaining the teamwork assignment model for new product development with a focus on improving the level of productivity | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 13، دوره 14، شماره 11، بهمن 2023، صفحه 153-168 اصل مقاله (505.52 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.28267.3851 | ||
| نویسندگان | ||
| Leila Khosravi؛ Massoud Kassaee* ؛ Akbar Alem Tabriz | ||
| Department of Industrial Management and Information Technology, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Iran | ||
| تاریخ دریافت: 12 تیر 1401، تاریخ بازنگری: 14 شهریور 1401، تاریخ پذیرش: 28 شهریور 1401 | ||
| چکیده | ||
| Companies are desperately seeking a competitive advantage in today's fast-paced business world to outperform their rivals. Competition with the rate of rapid change in technology has made the issue of new product development in a competitive market important. One of the factors that effectively play a role in the new product development process, especially when competition, flexibility and product diversity are important, is the employment of work teams. Considering the importance of the subject, this study aims to present a new model of team assignment for new product development with a focus on improving the level of productivity. In this research, mathematical modeling logic has been used. Furthermore, the research model is a Multi-Objective Integer Linear Programming (MOILP) model and because discrete variables exist, the solution space is not continuous and convex but discrete and thus non-convex. Thus, the problem is NP-hard in terms of complexity. In the end, according to various factors for the assignment of human resources in new product development processes, a multi-objective mathematical model was designed to reduce costs, control wage rates, reduce work process time, and maximize productivity in the production system. | ||
| کلیدواژه‌ها | ||
| New product development؛ Teamwork assignment؛ Productivity؛ Meta-heuristic algorithm | ||
| مراجع | ||
|
[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). | ||
|
آمار تعداد مشاهده مقاله: 16,723 تعداد دریافت فایل اصل مقاله: 7,984 |
||