Designing a supply chain by considering secondary risks in the case of food industry: an integrated interval type-2 fuzzy approach

Document Type : Research Paper

Authors

Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran

10.22070/jqepo.2022.16030.1231

Abstract

In this study, we combine an interval type-2 fuzzy best-worst method (IT2FBWM) with the interval VIKOR method for the first time to evaluate and prioritize sustainable suppliers in circular supply chains. To weigh the criteria, an interval type-2 best worst approach is employed, and the interval VIKOR methodology is utilized to assess the suppliers in the presence of uncertainty. Risk is presented in all supply chain activities, and its occurrence affects all dimensions of the supply chain and can cause damage to them and, therefore, must be appropriately managed. A new mixed-integer linear programming model is then formulated to identify each risk's optimal strategy or response. The multi-objective model minimizes total costs and response time and maximizes risk responses to secondary and primary risks. An improved version of augmented ε-constraint method (AUGMECON2) is also employed to produce separate Pareto-optimal solutions. Finally, the suggested strategy is applied to four main suppliers in the food company. The findings of the proposed integrated approach demonstrate the applicability and efficiency in the food industry.

Keywords

References

M. Farooque, A. Zhang, M. Thürer, T. Qu, and D. Huisingh, “Circular supply chain management: A definition and structured literature review,” Journal of Cleaner Production, vol. 228. Elsevier Ltd, pp. 882–900, Aug. 10, 2019, doi: 10.1016/j.jclepro.2019.04.303.
A. Genovese, A. A. Acquaye, A. Figueroa, and S. C. L. Koh, “Sustainable supply chain management and the transition towards a circular economy: Evidence and some applications,” Omega (United Kingdom), 2017, doi: 10.1016/j.omega.2015.05.015.
M. H. A. Nasir, A. Genovese, A. A. Acquaye, S. C. L. Koh, and F. Yamoah, “Comparing linear and circular supply chains: A case study from the construction industry,” Int. J. Prod. Econ., vol. 183, pp. 443–457, Jan. 2017, doi: 10.1016/j.ijpe.2016.06.008.
S. Lahane, R. Kant, and R. Shankar, “Circular supply chain management: A state-of-art review and future opportunities,” Journal of Cleaner Production, vol. 258. Elsevier Ltd, p. 120859, Jun. 10, 2020, doi: 10.1016/j.jclepro.2020.120859.
M. Sabaghi, C. Mascle, and P. Baptiste, “Evaluation of products at design phase for an efficient disassembly at end-of-life,” J. Clean. Prod., vol. 116, pp. 177–186, Mar. 2016, doi: 10.1016/j.jclepro.2016.01.007.
N. D. Steenis, I. A. van der Lans, E. van Herpen, and H. C. M. van Trijp, “Effects of sustainable design strategies on consumer preferences for redesigned packaging,” J. Clean. Prod., vol. 205, pp. 854–865, Dec. 2018, doi: 10.1016/j.jclepro.2018.09.137.
V. N. Popa and L. I. Popa, “Green Acquisitions and Lifecycle Management of Industrial Products in the Circular Economy,” in IOP Conference Series: Materials Science and Engineering, Dec. 2016, vol. 161, no. 1, p. 012112, doi: 10.1088/1757-899X/161/1/012112.
S. Witjes and R. Lozano, “Towards a more Circular Economy: Proposing a framework linking sustainable public procurement and sustainable business models,” Resour. Conserv. Recycl., vol. 112, pp. 37–44, Sep. 2016, doi: 10.1016/j.resconrec.2016.04.015.
Q. Sun, “Research on the influencing factors of reverse logistics carbon footprint under sustainable development,” Environ. Sci. Pollut. Res., vol. 24, no. 29, pp. 22790–22798, Oct. 2017, doi: 10.1007/s11356-016-8140-9.
H. Mina, D. Kannan, S. M. Gholami-Zanjani, and M. Biuki, “Transition towards circular supplier selection in petrochemical industry: A hybrid approach to achieve sustainable development goals,” J. Clean. Prod., vol. 286, p. 125273, Mar. 2021, doi: 10.1016/j.jclepro.2020.125273.
D. Kannan, H. Mina, S. Nosrati-Abarghooee, and G. Khosrojerdi, “Sustainable circular supplier selection: A novel hybrid approach,” Sci. Total Environ., vol. 722, p. 137936, Jun. 2020, doi: 10.1016/j.scitotenv.2020.137936.
V. Lahri, K. Shaw, and A. Ishizaka, “Sustainable supply chain network design problem: Using the integrated BWM, TOPSIS, possibilistic programming, and ε-constrained methods,” Expert Syst. Appl., 2021, doi: 10.1016/j.eswa.2020.114373.
Z.-Q. Liu and Y.-K. Liu, “Type-2 fuzzy variables and their arithmetic,” Soft Comput., vol. 14, no. 7, pp. 729–747, 2010.
R. Qin, Y. K. Liu, and Z. Q. Liu, “Methods of critical value reduction for type-2 fuzzy variables and their applications,” J. Comput. Appl. Math., vol. 235, no. 5, pp. 1454–1481, Jan. 2011, doi: 10.1016/j.cam.2010.08.031.
Q. Wu, L. Zhou, Y. Chen, and H. Chen, “An integrated approach to green supplier selection based on the interval type-2 fuzzy best-worst and extended VIKOR methods,” Inf. Sci. (Ny)., vol. 502, pp. 394–417, Oct. 2019, doi: 10.1016/j.ins.2019.06.049.
J. Rezaei, “Best-worst multi-criteria decision-making method,” Omega, vol. 53, pp. 49–57, 2015, doi: 10.1016/j.omega.2014.11.009.
J. Rezaei, “Best-worst multi-criteria decision-making method: Some properties and a linear model,” Omega (United Kingdom), vol. 64, pp. 126–130, Oct. 2016, doi: 10.1016/j.omega.2015.12.001.
S. Opricovic and G.-H. Tzeng, “Extended VIKOR method in comparison with outranking methods,” Elsevier, 2006, doi: 10.1016/j.ejor.2006.01.020.
M. K. Sayadi, M. Heydari, and K. Shahanaghi, “Extension of VIKOR method for decision making problem with interval numbers,” Appl. Math. Model., vol. 33, no. 5, pp. 2257–2262, May 2009, doi: 10.1016/j.apm.2008.06.002.
N. Foroozesh, B. Karimi, and S. M. Mousavi, “Green-resilient supply chain network design for perishable products considering route risk and horizontal collaboration under robust interval-valued type-2 fuzzy uncertainty: A case study in food industry,” J. Environ. Manage., vol. 307, p. 114470, Apr. 2022, doi: 10.1016/J.JENVMAN.2022.114470.
Journal of Quality Engineering and Production Optimization
Volume 7, Issue 2
December 2022
Pages 93-106

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