The concept of hybrid multicriteria model of sustainable supply chain
https://doi.org/10.46973/0201-727X_2024_1_90
Abstract
The paper proposed the concept of a hybrid model of sustainable supply chain based on the combination of multi-criteria decision-making methods with simulation modeling. The possibility of using simulation modeling to describe functional dependencies between the indicators of sustainable supply chain, parameters, and indicators of logistics flows in the implementation of green logistics instruments is shown. The combination of models is necessary to forecast and optimize the values of parameters and indicators of logistics flows in accordance with the selected options of the set of green logistics instruments and considering the limited logistics resources. The proposed approach will improve the sustainability of supply chains as a result of the selection and implementation of green logistics tools.
Keywords
About the Authors
N. A. OsintsevRussian Federation
Nikita Anatolievich Osintsev, Candidate of Engineering Sciences
Chair «Logistics and Transport Systems Management»
Magnitogorsk
A. N. Rakhmangulov
Russian Federation
Aleksander Nelievich Rakhmangulov, Doctor of Engineering Sciences, Professor
Chair «Logistics and Transport Systems Management»
Magnitogorsk
P. N. Mishkurov
Russian Federation
Pavel Nikolayevich Mishkurov, Candidate of Engineering Sciences, Associate Professor
Chair «Logistics and Transport Systems Management»
Magnitogorsk
S. N. Kornilov
Russian Federation
Sergey Nikolayevich Kornilov, Doctor of Engineering Sciences, Professor
Chair «Logistics and Transport Systems Management»
Magnitogorsk
M. S. Melnikov
Russian Federation
Mikhail Sergeyevich Melnikov, Master's Student
Chair «Logistics and Transport Systems Management»
Magnitogorsk
References
1. Osintsev, N. A. Supply chain sustainability assessment based on gray relational analysis / N. A. Osintsev, A. N. Rakhmangulov // Bulletin of Nosov Magnitogorsk State Technical University. – 2023. – No. 3 (21). – P. 180–196. – DOI: 10.18503/1995-2732-2023-21-3-180-196.
2. Govindan, K. Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic K. Govindan, A. Jafarian, V. Nourbakhsh // Computers & Operations Research. – 2015. – No. 62. – P. 112–130. – ISSN 1873-765X.
3. Validi, S. A solution method for a two-layer sustainable supply chain distribution model / S. Validi, A. Bhattacharya, P. J. Byrne // Computers & Operations Research. – 2015. – No. 54. – P. 204–217. – ISSN 1873-765X.
4. Validi, S. A case analysis of a sustainable food supply chain distribution system – A multi-objective approach / S. Validi, A. Bhattacharya, P. Byrne // International Journal of Production Economics. – 2014. – No. 152. – P. 71–87. – ISSN 1873-7579.
5. Guillén-Gosálbez, G. Optimal design and planning of sustainable chemical supply chains under uncertainty / G. Guillén‐Gosálbez, I. E. Grossmann // AIChE Journal. – 2009. – No. 1 (55). – P. 99–121. – ISSN 0001-1541.
6. Rahimi, M. A stochastic risk-averse sustainable supply chain network design problem with quantity discount considering multiple sources of uncertainty / M. Rahimi, V. Ghezavati, F. Asadi // Computers & Industrial Engineering. – 2019. – No. 130. – P. 430–449. – DOI: 10.1016/j.cie.2019.02.037.
7. Mathematical programming model of biodiesel supply chain in Colombia / J. A. Aranda, M. J. Bar´on, I. Huertas, J. A. Orjuela // Ingeniería. – 2014. – No. 1 (19). – P. 19–49. – ISSN 1405-7743.
8. Optimal design of sustainable cellulosic biofuel supply chains: multiobjective optimization coupled with life cycle assessment and input–output analysis / F. You, L. Tao, D. J. Graziano, S. W. Snyder // AIChE Journal. – 2012. – No. 4 (58). – P. 1157–1180. – ISSN 0001-01541.
9. Design of sustainable product systems and supply chains with life cycle optimization based on functional unit : general modeling framework, mixed-integer nonlinear programming algorithms and case study on hydrocarbon biofuels / D. Yue, M. A. Kim, F. You // ACS Sustainable Chemistry & Engineering. – 2013. – No. 8 (1). – P. 1003–1014. – ISSN 2168-0485.
10. Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food / K. Govindan, A. Jafarian, R. Khodaverdi, K. Devika // International journal of production economics. – 2014. – No. 152. – P. 9–28. – ISSN 1873-7579.
11. Büyüközkan, G. Designing a sustainable supply chain using an integrated analytic network process and goal programming approach in quality function deployment / G. Büyüközkan, Ç. Berkol // Expert Systems with Applications. – 2011. – No. 11 (38). – P. 13731–13748. – ISSN 1873-6793.
12. Osintsev, N. A. Methodological foundations of sustainable development of logistics chains of cargo flows : dissertation for the degree of Doctor of Technical Sciences : 2.9.9 / Osintsev Nikita Anatolievich. – Moscow, 2023. – 360 p.
13. A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design / E. B. Tirkolaee, A. Mardani, Z. Dashtian, M. Soltani, G. W. Weber // Journal of Cleaner Production. – 2020. – No. 250. – P. 119517. – DOI: 10.1016/j.jclepro.2019.119517.
14. Sustainable supply chain management : framework and further research directions / S. J. Childe, S. F. Wamba, A. Gunasekaran, R. Dubey, K. Shibin, T. Papadopoulos // Journal of Cleaner Production. – 2017. – No. 142. – P. 1119–1130. – ISSN 1879-1786.
15. Jakhar, S. K. Performance evaluation and a flow allocation decision model for a sustainable supply chain of an apparel industry / S. K. Jakhar // Journal of Cleaner Production. – 2015. – No. 87. – P. 391–413. – ISSN 1879-1786.
16. Fuzzy multi-objective sustainable and green closed-loop supply chain network design / H. Soleimani, K. Govindan, H. Saghafi, H. Jafari // Computers & Industrial Engineering. – 2017. – No. 109. – P. 191–203. – ISSN 1879-0550.
17. Sustainable fertilizer supply chain network design using evolutionary-based resilient robust stochastic programming / M. Rabbani, S. M. H. Molana, S. M. Sajadi, M. H. Davoodi // Computers & Industrial Engineering. – 2022. – No. 174. – P. 108770. – DOI: 10.1016/j.cie.2022.108770.
18. Jabbarzadeh, A. Resilient and sustainable supply chain design: sustainability analysis under disruption risks / A. Jabbarzadeh, B. Fahimnia, F. Sabouhi // International Journal of Production Research. – 2018. – No. 17 (56). – P. 5945–5968. – DOI: 10.1080/00207543.2018.1461950.
19. Orjuela-Castro, J. A. Identifying trade-offs between sustainability dimensions in the supply chain of biodiesel in Colombia / J. A. Orjuela-Castro, J. A. Aranda-Pinilla, C. E. Moreno-Mantilla // Computers and Electronics in Agriculture. – 2019. – No. 161. – P. 162–169. – DOI: 10.1016/j.compag.2018.03.009.
20. Corsano, G. Optimal design for sustainable bioethanol supply chain considering detailed plant performance model / G. Corsano, A. R. Vecchietti, J. M. Montagna // Computers & Chemical Engineering. – 2011. – No. 8 (35). – P. 1384–1398. – ISSN 1873-4375.
21. A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context / M. Azadi, M. Jafarian, R. F. Saen, S. M. Mirhedayatian // Computers & Operations Research. – 2015. – No. 54. – P. 274–285. – ISSN 1873-765X.
22. Impact of supply chain management practices on sustainability / K. Govindan, S. G. Azevedo, H. Carvalho, V. Cruz-Machado // Journal of Cleaner production. – 2014. – No. 85. – P. 212–225. – ISSN 1879-1786.
23. Optimization of network redundancy and contingency planning in sustainable and resilient supply chain resource management under conditions of structural dynamics / A. Pavlov, D. Ivanov, D. Pavlov, A. Slinko // Annals of Operations Research. – 2019. – P. 1–30. – DOI: 10.1007/s10479-019-03182-6.
24. Da Silva, C. Environmental monetization and risk assessment in supply chain design and planning / C. Da Silva, A. P. Barbosa-Povoa, A. Carvalho // Journal of Cleaner Production. – 2020. – No. 270. – P. 121552. – DOI: 10.1016/j.jclepro.2020.121552.
25. Pishvaee, M. S. An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty : A case study of medical needle and syringe supply chain / M. S. Pishvaee, J. Razmi, S. A. Torabi // Transportation Research Part E : Logistics and Transportation Review. – 2014. – No. 67. – P. 14–38. – ISSN 1878-5794.
26. Hoffa-Dabrowska, P. Simulation modeling of the sustainable supply chain / P. Hoffa-Dabrowska, K. Grzybowska // Sustainability. – 2020. – No. 15 (12). – P. 6007. – DOI: 10.3390/su12156007.
27. Tao, Z. What is the limit of Chinese coal supplies – A STELLA model of Hubbert Peak / Z. Tao, M. Li // Energy Policy. – 2007. – No. 6 (35). – P. 3145–3154. – ISSN 1873-6777.
28. Huang, X. Y. Dynamic models of closed-loop supply chain and robust H∞ control strategies / X. Y. Huang, N. N. Yan, R. Z. Qiu // International Journal of Production Research. – 2009. – No. 9 (47). – P. 2279–2300. – ISSN 1366-588X.
29. Orji, I. J. An innovative integration of fuzzy-logic and systems dynamics in sustainable supplier selection : A case on manufacturing industry / I. J. Orji, S. Wei // Computers & Industrial Engineering. – 2015. – No. 88. – P. 1–12. – ISSN 1879-0550.
30. Golroudbary, S. R. System dynamics model for optimizing the recycling and collection of waste material in a closed-loop supply chain / S. R. Golroudbary, S. M. Zahraee // Simulation Modelling Practice and Theory. – 2015. – No. 53. – P. 88–102. – ISSN 1569-190X.
31. External integration mechanisms effect on the logistics performance of fruit supply chains. A dynamic system approach / J. A. Orjuela-Castro, A. L. Caicedo-Otavo, A. F. Ruiz-Moreno, W. Adarme-Jaimes // Revista Colombiana de Ciencias Hortícolas. – 2016. – No. 2 (10). – P. 311–322. – ISSN 2011-2173.
32. Longo, F. Sustainable supply chain design : an application example in local business retail / F. Longo // Simulation. – 2012. – No. 12 (88). – P. 1484–1498. – ISSN 1741-3133.
33. Kumar, A. RFID-enabled process reengineering of closed-loop supply chains in the healthcare industry of Singapore / A. Kumar, S. Rahman // Journal of Cleaner Production. – 2014. – No. 85. – P. 382–394. – ISSN 1879-1786.
34. Mangla, S. K. Monte Carlo simulation based approach to manage risks in operational networks in green supply chain / S. K. Mangla, P. Kumar, M. K. Barua // Procedia Engineering. – 2014. – No. 97. – P. 2186–2194. – ISSN 1877-7058.
35. Sustainability dimensions and PM 2.5 in supply chain logistics / J. Hong, C. Alzaman, A. Diabat, A. A. Bulgak // Annals of Operations Research. – 2019. – No. 275. – P. 339–366. – DOI: 10.1007/s10479-018-3077-7.
36. Ivanov, D. Revealing interfaces of supply chain resilience and sustainability : a simulation study / D. Ivanov // International Journal of Production Research. – 2018. – No. 10 (56). – P. 3507–3523. – DOI: 10.1080/00207543.2017.1343507.
37. Van der Vorst, J. Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics / Jack Van der Vorst, S. O. Tromp, D. J. Zee // International Journal of Production Research. – 2009. – No. 23 (47). – P. 6611–6631. – ISSN 1366-588X.
38. Eising, J. W. Towards smart grids : Identifying the risks that arise from the integration of energy and transport supply chains / J. W. Eising, T. Van Onna, F. Alkemade // Applied Energy. – 2014. – No. 123. – P. 448–455. – ISSN 0306-2619.
39. Moradi, S. System dynamics modeling and fuzzy MCDM approach as support for assessment of sustainability management on the example of transport sector company / S. Moradi, G. Sierpiński, H. Masoumi // Energies. – 2022. – No. 15 (13). – P. 4917. – DOI: 10.3390/en15134917.
40. Sahay, N. Supply chain management using an optimization driven simulation approach / N. Sahay, M. Ierapetritou // AIChE Journal. – 2013. – No. 2 (59). – P. 4612–4626.
41. Bi-objective Decision Support Tool Based on System Dynamics and Discrete Event Modelling for Sustainable Supply Chain / J. Yu, T. Hieu, S. Gray, A. A. Encinas-Oropesa // Journal of Circular Economy. – 2023. – P. 1–20. – DOI: 10.55845/SDDH3833.
42. Vieira, A. A. C. A multi-objective simulation-based decision support tool for wine supply chain design and risk management under sustainability goals / A. A. C. Vieira, J. R. Figueira, R. Fragoso // Expert Systems with Applications. – 2023. – P. 120757. – DOI: 10.1016/j.eswa.2023.120757.
43. Chanchaichujit, J. Sustainable supply chain management : A literature review of recent mathematical modelling approaches / J. Chanchaichujit, Q. C. Pham, A. Tan // International Journal of Logistics Systems and Management. – 2019. – No. 4 (33). – P. 467–496. – DOI: 10.1504/IJLSM.2019.101794.
44. Osintsev, N. A. The concept of a logistics flow management system in “green” supply chains / N. A. Osintsev // Bulletin of the Ural State Transport University. – 2020. – No. 2 (46). – P. 81–92. – DOI: 10.20291/2079-0392-2020-2-81-92.
45. Osintsev, N. A. Multicriteria methods of decision-making in transport and logistics / N. A. Osintsev // Transport of the Urals. – 2021. – No. 4 (71). – P. 4–17. – DOI: 10.20291/1815-9400-2021-4-3-17.
46. Osintsev, N. A. Multi-criteria decision-making methods in “green” logistics / N. A. Osintsev // World of Transport. – 2021. – No. 5 (96). – P. 105–114. – DOI: 10.30932/1992-3252-2021-19-5-13.
47. Logistic flow control system in green supply chains / N. Osintsev, A. Rakhmangulov, A. Sładkowski, N. Dyorina // Ecology in Transport : Problems and Solutions. – 2020. – P. 311–380. – ISBN 978-3-030-42322-3.
Review
For citations:
Osintsev N.A., Rakhmangulov A.N., Mishkurov P.N., Kornilov S.N., Melnikov M.S. The concept of hybrid multicriteria model of sustainable supply chain. Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. 2024;(1):90-104. (In Russ.) https://doi.org/10.46973/0201-727X_2024_1_90
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