Factors considered in product design have a significant impact on future cost and sustainability. Some factors such as materials, dimensions, and tolerances are crucial in the design process of many products. At the macro scale, this can give rise to environmental effects and influence the reliability and sustainability of the product. In this research, a hybrid system dynamics simulation-optimization approach has been proposed for tolerance design. In this approach, first, the optimal values of tolerance and price are determined by conjoint analysis. These values are entered into a system dynamics model to evaluate the relationships among sustainability, reliability, and customer satisfaction. Then, the impact of tolerance and other factors of product design on sustainability, reliability, and customer satisfaction are investigated. This approach can help decision-makers better understand the trade-off between design factors, resilience, sustainability, and customer satisfaction and make more informed decisions. The proposed method is illustrated for computer assembly step by step. The results show that lower sustainability and higher customer satisfaction are directly associated with tighter tolerances. Besides, lower sustainability, higher reliability, and higher customer satisfaction are associated with lower quality of materials. The validity of the model was examined using a boundary-adequacy test.
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Keywords: Conjoint analysis, system dynamics, design factors, sustainability, reliability
@article{RO_2021__55_5_2711_0,
author = {Mohagheghian, Elahe and Hosseini-Nasab, Hasan and Zare-Mehrjerdi, Yahia and Fakhrzad, Mohammad-Bagher},
title = {A hybrid approach to investigate the relationship between design factors and sustainability},
journal = {RAIRO. Operations Research},
pages = {2711--2737},
year = {2021},
publisher = {EDP-Sciences},
volume = {55},
number = {5},
doi = {10.1051/ro/2021120},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2021120/}
}
TY - JOUR AU - Mohagheghian, Elahe AU - Hosseini-Nasab, Hasan AU - Zare-Mehrjerdi, Yahia AU - Fakhrzad, Mohammad-Bagher TI - A hybrid approach to investigate the relationship between design factors and sustainability JO - RAIRO. Operations Research PY - 2021 SP - 2711 EP - 2737 VL - 55 IS - 5 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2021120/ DO - 10.1051/ro/2021120 LA - en ID - RO_2021__55_5_2711_0 ER -
%0 Journal Article %A Mohagheghian, Elahe %A Hosseini-Nasab, Hasan %A Zare-Mehrjerdi, Yahia %A Fakhrzad, Mohammad-Bagher %T A hybrid approach to investigate the relationship between design factors and sustainability %J RAIRO. Operations Research %D 2021 %P 2711-2737 %V 55 %N 5 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2021120/ %R 10.1051/ro/2021120 %G en %F RO_2021__55_5_2711_0
Mohagheghian, Elahe; Hosseini-Nasab, Hasan; Zare-Mehrjerdi, Yahia; Fakhrzad, Mohammad-Bagher. A hybrid approach to investigate the relationship between design factors and sustainability. RAIRO. Operations Research, Tome 55 (2021) no. 5, pp. 2711-2737. doi: 10.1051/ro/2021120
[1] and , Customer Oriented Product Design with Conjoint Analysis. Springer, Cham (2020) 401–415. | DOI
[2] and , Modelling and assessment of product recovery strategies through systems dynamics. Proc. CIRP 69 (2018) 822–826. | DOI
[3] , and , Multi-method simulation based tool to evaluate economic and environmental performance of circular product systems. J. Clean. Prod. 139 (2016) 1261–1281. | DOI
[4] , and , Coordination of the closed-loop supply chain for product line design with consideration of remanufactured products. J. Clean. Prod. 114 (2016) 286–298. | DOI
[5] , , and , A robust bi-objective multi-trip periodic capacitated arc routing problem for urban waste collection using a multi-objective invasive weed optimization. Waste Manage. Res. 37 (2019) 1089–1101. | DOI
[6] , and , Decision-based Design: Integrating Consumer Preferences into Engineering Design. Springer Science & Business Media(2012). | Zbl
[7] , and , Application of type-2 fuzzy logic to a multiobjective green solid transportation–location problem with dwell time under carbon tax, cap, and offset policy: fuzzy versus nonfuzzy techniques. IEEE Trans. Fuzzy Syst. 28 (2020) 2711–2725. | DOI
[8] and , Dynamic modeling of product development processes. Syst. Dyn. Rev.: J. Syst. Dyn. Soc. 14 (1998) 31–68. | DOI
[9] , Industrial dynamics. A major breakthrough for decision makers. Harvard Bus. Rev. 36 (1958) 37–66.
[10] , Principles of systems. Allen. Press. Inc. 1 (1968) 51.
[11] , and , Design optimization for resilience for risk-averse firms. Comput. Ind. Eng. 139 (2020) 106122. | DOI
[12] , , and , Application of robust optimization for a product portfolio problem using an invasive weed optimization algorithm. Numer. Algebra Control Optim. 9 (2019) 187. | MR | DOI
[13] , , , , and , Knowledge accelerator by transversal competences and multivariate adaptive regression splines. Cent. Eur. J. Oper. Res. 28 (2020) 645–669. | DOI
[14] and , Conjoint analysis in consumer research: issues and outlook. J. Cons. Res. 5 (1978) 103–123. | DOI
[15] , , and , Life cycle option selection of disassembly parts for material-based CO2 saving rate and recovery cost: analysis of different market value and labor cost for reused parts in German and Japanese cases. Int. J. Prod. Econ. 213 (2019) 229–242. | DOI
[16] , and , An approach to a general view on tolerances in mechanical engineering. IPD 98 (1998) 65–76.
[17] and , Systems thinking in tolerance and quality-related design decision-making. Proc. CIRP 27 (2015) 59–64. | DOI
[18] , and , Tolerance optimisation considering economic and environmental sustainability. J. Eng. Des. 25 (2014) 367–390. | DOI
[19] and , An efficient hybrid algorithm based on Water Cycle and Moth-Flame Optimization algorithms for solving numerical and constrained engineering optimization problems. Soft Comput. 23 (2019) 1699–1722. | DOI
[20] , , and , Designing an efficient blood supply chain network in crisis: neural learning, optimization and case study. Ann. Oper. Res. 289 (2020) 123–152. | MR | DOI
[21] , and , An inventory model under development cost-dependent imperfect production and reliability-dependent demand. J. Manag. Anal. 4 (2017) 258–275.
[22] , and , Derivative-free optimization. In: Computational Optimization, Methods and Algorithms. Springer, Berlin, Heidelberg (2011) 61–83. | MR | Zbl | DOI
[23] , and , Designing a profit-maximizing product line for heterogeneous market. Tehnicki vjesnik 26 (2019) 1562–1569.
[24] , , and , Dynamic and multidimensional measurement of product-service system (PSS) sustainability: a triple bottom line (TBL)-based system dynamics approach. J. Clean. Prod. 32 (2012) 173–182. | DOI
[25] , and , Sustainable development analysis of design and manufacturing integration: a system dynamics approach. Cog. Eng. 6 (2019) 1682775. | DOI
[26] , , , , and , A robust time-cost-quality-energy-environment trade-off with resource-constrained in project management: a case study for a bridge construction project. J. Ind. Manag. Optim. 13 (2020). DOI: . | DOI | MR
[27] , , , and , A robust optimization model for sustainable and resilient closed-loop supply chain network design considering conditional value at risk. Numer. Algebra Control Optim. 11 (2021) 221. | MR | DOI
[28] , , , and , A hybrid model for bankruptcy prediction using genetic algorithm, fuzzy c-means and mars. Preprint (2011). | arXiv | DOI
[29] and , The complexity of new products: a dynamic model for productivity loss analysis within productive systems. Gest. Prod. 26 (2019).
[30] and , RMARS: robustification of multivariate adaptive regression spline under polyhedral uncertainty. J. Comput. App. Math. 259 (2014) 914–924. | MR | DOI
[31] , and , The new robust CMARS (RCMARS) method. Vectors 1 (2010) 362–368.
[32] , , and , RCMARS: robustification of CMARS with different scenarios under polyhedral uncertainty set. Commun. Nonlinear Sci. Numer. Simul. 16 (2011) 4780–4787. | MR | Zbl | DOI
[33] , and , Application of fuzzy optimization to a supply chain network design: a case study of an edible vegetable oils manufacturer. App. Math. Model. 36 (2012) 2762–2776. | MR | Zbl | DOI
[34] and , Principles of Optimal Design: Modeling and Computation, 2nd edition. Cambridge Univ. Press, New York (2000) 7. | MR
[35] , Tolerancing the components of an assembly for minimum cost. J. Eng. Ind. 92 (1970) 677–682. | DOI
[36] , and , Multi-objective multi-item fixed-charge solid transportation problem under twofold uncertainty. Neural Comput. App. 31 (2019) 8593–8613. | DOI
[37] , , and , Effective environmental marketing of green cars: a nested-logit approach. Transp. Res. D 17 (2012) 237–242. | DOI
[38] , Calculation of tolerance based on a minimum cost approach. J. Eng. Ind. 94 (1972) 447–453. | DOI
[39] , Allocation of tolerances to minimize cost of assembly. J. Eng. Ind. 95 (1973) 762–764. | DOI
[40] , A systematic approach to environmental priority strategies in product development (EPS): version 2000-models and data of the default method. J. Chalmers tek. högsk. (1999) 67.
[41] , , and , Enhanced knowledge acceleration estimator optimally with MARS to business metrics in merchant ecosystem. In: 2020 4rd International Conference on Electrical, Telecommunication and Computer Engineering (2020) 1–6.
[42] , and , Multi-objective aggregate production planning model considering overtime and outsourcing options under fuzzy seasonal demand. Springer, Cham (2019) 81–96.
[43] , Discrete Choice Methods with Simulation. Cambridge Univ. Press (2009). | MR | Zbl
[44] , , , and , An integrated method of life-cycle assessment and system dynamics for waste mobile phone management and recycling in China. J. Clean. Prod. 187 (2018) 852–862. | DOI
[45] , and , Mixed-integer linear programming approach for product design for life-cycle profit. Comput. Ind. Eng. 137 (2019) 106079. | DOI
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