Designing a bi-objective rice supply chain considering environmental impacts under uncertainty

Document Type : Article

Authors

Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran

Abstract

Rice is a strategic commodity in the food chain for the people and governments. It is a fundamental food for many societies. Moreover, producing rice can provide a reliable source of revenue if proper supply chain management is coordinated by farmer countries. The rice supply chain includes diverse elements such as farms, rice mills, distribution centers, and markets. This study examines the important factors that play a significant role in the rice supply chain. A bi-objective mathematical model is formulated to minimize total costs as an economic goal and minimize soil erosion and its destruction due to the consumed water for rice cultivation as an environmental goal. To verify the proposed model, a case study of the rice supply chain with limited producer farms has been investigated. Moreover, some parameters such as annual precipitation in production areas along with other factors are presented under several scenarios. Furthermore, an extended goal programming approach and stochastic programming are utilized to solve the proposed model. Finally, the sensitivity analyses of the important parameters have been performed.

Keywords

References

References:
1. Horrigan, L., Lawrence, R.S., and Walker, P. "How sustainable agriculture can address the environmental and human health harms of industrial agriculture", Environ. Health Perspect., 110(5), pp. 445-456 (2002).
2. Vasileiou, K. and Morris, J. "The sustainability of the supply chain for fresh potatoes in Britain", Supply Chain Manag. An Int. J., 11(4), pp. 317-327 (2006).
3. Borin, P., Claro, D.O., and Pensa, U. "Sustainability indicators: a tool to evaluate and monitor the impacts of agri-chains on sustainability", Framework (2006).
4. Peidro, D., Mula, J., Jimenez, M., et al. "A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment", European Journal of Operational Research, 205(1), 6(2), pp. 65- 80 (2010).
5. Peidro, D., Mula, J., Poler, R., et al. "Fuzzy optimization for supply chain planning under supply, demand and process uncertainties", Fuzzy Sets Syst., 160(18), pp. 2640-2657 (2009).
6. Mangla, S.K., Luthra, S., Rich, N., et al. "Enablers to implement sustainable initiatives in agri-food supply chains", International Journal of Production Economics, 203, pp. 379-393 (2018).
7. Fogel, M.A. "Brain magnetic resonance immediately before surgery in single ventricles and surgical postponement", The Annals of Thoracic Surgery, 98(5), pp. 1693-1698 (2014).
8. Yakovleva, N. "Sustainable benchmarking of supply chains: the case of the food industry", International Journal of Production Research, 50(5), pp. 37-41 (2012).
9. Banasik, A., Kanellopoulos, A., Claassen, G.D.H., et al. "Closing loops in agricultural supply chains using multi-objective optimization: A case study of an industrial mushroom supply chain", International Journal of Production Economics, 183, pp. 409-420 (2017).
10. Faulin, J., Juan, A., Lera, F., et al. "Solving the capacitated vehicle routing problem with environmental criteria based on real estimations in road transportation: A case study", Procedia Social and Behavioral Sciences, 20, pp. 323-334 (2011).
11. Banasik, A., Kanellopoulos, A., Claassen, G.D.H., et al. "Closing loops in agricultural supply chains using multi-objective optimization: A case study of an industrial mushroom supply chain", International Journal of Production Economics, 183, pp. 409-420 (2017).
12. Wiedenmann, S. and Geldermann, J. "Supply planning for processors of agricultural raw materials", European Journal of Operational Research, 242(2), pp. 606-619 (2015).
13. Higgins, A.J., Miller, C.J., Archer, A.A., et al.  Challenges of operations research practice in agricultural value chains", J. Oper. Res. Soc., 61(6), pp. 964-973 (2010).
14. Stefansdottir, B. and Grunow, M. "Selecting new product designs and processing technologies under uncertainty: Two-stage stochastic model and application to a food supply chain", International Journal of Production Economics, 201, pp. 89-101 (2018).
15. Mangla, S.K., Luthra, S., Rich, N., et al. "Enablers to implement sustainable initiatives in agri-food supply chains", International Journal of Production Economics, 203, pp. 379-393 (2018).
16. Van Der Vorst, J.G.A.J., Tromp, S.O., and van der Zee, D.J. "Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics", International Journal of Production Research. J. Prod. Res., 47(23), pp. 6611-6631 (2009).
17. Sorensen, E.E. and Gilheany, J.F. "A simulation model for harvest operations under stochastic conditions", Manage. Sci., 16(8), pp. B-549-B-565 (1970).
18. Arnaout, J.-P.M. and Maatouk, M. "Optimization of quality and operational costs through improved scheduling of harvest operations", International Transactions in Operational Research, 17(5), pp. 595-605 (2010).
19. Gorton, M., Zari, V., Lowe, P., et al. "Public and private agri-environmental regulation in post-socialist economies: Evidence from the Serbian Fresh Fruit and Vegetable Sector", Journal of Rural Studies, 27, pp. 144-152 (2011).
20. Masud, M.B., McAllister, T., Cordeiro, M.R.C., et al. "Modeling future water footprint of barley production in Alberta, Canada: Implications for water use and yields to 2064", Science of the Total Environment, 616-617, pp. 208-222 (2018).
21. Su, C.M., Horng, D.J., Tseng, M.L., et al. "Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach", Journal of Cleaner Production, 134, pp. 469-481 (2016).
22. Sepehri, M. and Sazvar, Z. "Multi-objective sustainable supply chain with deteriorating products and transportation options under uncertain demand and backorder", Journal of Scientia Iranica, Sharif University of Technology, 23(6), pp. 2977-2994 (2016).
23. Jafari, H.R., Seifbarghy, M., and Omidvari, M. "Sustainable supply chain design with water environmental impacts and justice-oriented employment considerations: A case study in textile industry", Journal of Scientia Iranica, Sharif University of Technology Trans. E, Ind. Eng., 24(4), pp. 2119-2137 (2017).
24. Reidsma, P., Janssen, S., Jansen, J., et al. "On the development and use of farm models for policy impact assessment in the European Union -A review", Journal of Agricultural Systems, 159, pp. 111-125 (2018).
25. Mohammadi, A.S., Alemtabriz, A., Pishvaee, M.S., et al. "A multi-stage stochastic programming model for sustainable closed-loop supply chain network design with financial decisions: A case study of plastic production and recycling supply chain", Journal of Scientia Iranica, Sharif University of Technology, 27(1), pp. 377-395 (2020).
26. Sazvar, Z., Rahmani, M., and Govindan, K. "A sustainable supply chain for organic, conventional agro-food products: The role of demand substitution, climate change and public health", Journal of Cleaner Production, 194(1) (2018).
27. Mogale, D.G., Cheikhrouhou, N., and Tiwari, M.K. "Modelling of sustainable food grain supply chain distribution system: a bi-objective approach", International Journal of Production Research, 58(18), pp. 5521-5544 (2020).
28. Yamchi, H., Jabarzadeh, Y., Ghaffarinasab, N., et al. "A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain", Proceedings of the 10th Conference on Industrial Engineering and Operations Management (IEOM) (2020).
29. Motevalli-Taher, F., Paydar, M.M., and Emami, S. "Wheat sustainable supply chain network design with forecasted demand by simulation", Computers and Electronics in Agriculture, 178, p. 105763 (2020).
30. Jia, R., Liu, Y., and Bai, X. "Distributionally robust goal programming approach for planning a sustainable development problem", Journal of Cleaner Production, 256, p. 120438 (2020).
31. Borodin, V., Bourtembourg, J., Hnaien, F., et al. "A quality risk management problem: case of annual crop harvest scheduling", International Journal of Production Research, 52(9), pp. 2682-2695 (2014).
32. Yoshimoto, A. and Shoji, I. "Searching for an optimal rotation age for forest stand management under stochastic log prices", European Journal of Operational Research, 105(1), pp. 100-112 (1998).
33. Romero, C. "A general structure of achievement function for a goal programming model", European Journal of Operational Research, 153(3), SPEC. ISS., pp. 675- 686 (2003).
34. Gendreau, M. and Potvin, J.Y., Handbook of Metaheuristics, New York: Springer, 2 (2010).
35. Chen, W., Li, J., and Jin, X. "The replenishment policy of agri-products with stochastic demand in integrated agricultural supply chains", Expert Systems with Applications, 48(1) (2015).
36. Etemadnia, H., Goetz, S.J., Canning, P., et al. "PT US CR", European Journal of Operational Research, 244(2) (2015).
37. Hajikhani, A., Khalilzadeh, M., and Sadjadi, S.J. "A fuzzy multi-objective multi-product supplier selection and order-allocation problem in supply chain under coverage and price considerations: An urban agricultural case study", Journal of Scientia Iranica Sharif University of Technology, Trans. E, Ind. Eng., 25(1), pp. 431-449 (2018).
38. Catala, L.P., Moreno, M.S., Blanco, A.M., et al. "A biobjective optimization model for tactical planning in the pome fruit industry supply chain", Computers and Electronics in Agriculture, 130, pp. 128-141 (2016).
39. Galan-Martn,  A., Vaskan, P., Anton, A., et al. "Multiobjective optimization of rainfed and irrigated agricultural areas considering production and environmental criteria: a case study of wheat production in Spain", Journal of Cleaner Production, 140, pp. 816-830 (2017).
40. Gomes, A.C., Pinto-Varela, T., and Barbosa-Povoa, A.P. "Multimodal green food supply chain design and planning under uncertainty", In Computer Aided Chemical Engineering, 38, pp. 181-186 (2016).
41. Soto-silva, W.E., Gonzalez-araya, M.C., Oliva- Fernandez, M.A., et al. "Optimizing fresh food logistics for processing: Application for a large Chilean apple supply chain", Computers and Electronics in Agriculture, 136, pp. 42-57 (2017).
42. Tian, G., Zhang, H., Feng, Y., et al. "Green decoration materials selection under interior environment characteristics: A grey-correlation based hybrid MCDM method", Renewable and Sustainable Energy Reviews, 816, pp. 682-692 (2018).
43. Cheraghalipour, A., Paydar, M.M., and Hajiaghaei-Keshteli, M. "A bi-objective optimization for citrus closed-loop supply chain using Pareto-based algorithms", Applied Soft Computing, 69, pp. 33-59 (2018).
44. Chavez, M.M.M., Sarache, W., and Costa, Y. "Towards a comprehensive model of a biofuel supply chain optimization from coffee crop residues", Transportation Research Part E: Logistics and Transportation Review, 116, pp. 136-162 (2018).
45. Allaoui, H., Guo, Y., Choudhary, A., et al. "Sustainable agro-food supply chain design using two-stage hybrid multi-objective decision-making approach", Computers & Operations Research (2016).
46. Bergendahl, J.A., Sarkis, J., and Timko, M.T. "Transdisciplinarity and the food energy and water nexus: Ecological modernization and supply chain sustainability perspectives", Resources, Conservation and Recycling, 133, pp. 309-319 (2018).
47. Cheraghalipour, A., Paydar, M.M., and Hajiaghaei- Keshteli, M. "Designing and solving a bi-level model for rice supply chain using the evolutionary algorithms", Computers and Electronics in Agriculture, 162, pp. 651-668 (2019).
48. Lin, R., Man, Y., Lee, C.K.M., et al. "Sustainability prioritization framework of biorefinery: A novel multi-criteria decision-making model under uncertainty based on an improved interval goal programming method", Journal of Cleaner Production, 251, p. 119729 (2020).
49. Chavez, M.M.M., Sarache, W., Costa, Y., et al. "Multiobjective stochastic scheduling of upstream operations in a sustainable sugarcane supply chain", Journal of Cleaner Production, 276, p. 123305 (2020).
50. Roghanian, E. and Cheraghalipour, A. "Addressing a set of meta-heuristics to solve a multi-objective model for closed-loop citrus supply chain considering CO2 emissions", Journal of Cleaner Production, 239, p. 118081 (Dec. 2019).
51. Seyyed Jifroudi, S.A., Teimoury, E., and Barzinpour, F. "Designing and planning a rice supply chain: a case study for Iran farmlands", Decision Science Letters, 9(2), pp. 163-180 (2020).
52. Hosseini-Motlagh, S.M., Samani, M.R.G., and Saadi, F.A. "A novel hybrid approach for synchronized development of sustainability and resiliency in the wheat network", Computers and Electronics in Agriculture, 168, p. 105095 (Jan. 2020).
53. Biuki, M., Kazemi, A., and Alinezhad, A. "An integrated location-routing-inventory model for sustainable design of a perishable products supply chain network", Journal of Cleaner Production, 260(1), p. 120842 (2020).
54. Jabarzadeh, Y., Yamchi, H.R., Kumar, V., et al. "A multi-objective mixed-integer linear model for sustainable fruit closed-loop supply chain network", Management of Environmental Quality An International Journal, 31(5) (2020).
55. Mehrbanfar, M., Bozorgi-Amiri, A., and Nasiri, M.M. "A mathematical programming model for sustainable agricultural supply chain network design under uncertainty", Journal of Quality Engineering and Production Optimization (2020).
56. Sahebjamnia, N., Goodarzian, F., and Hajiaghaei- Keshteli, M. "Optimization of multi-period threeechelon citrus supply chain problem", Journal of Optimization in Industrial Engineering, 13(1), pp. 39-53 (2020).
Scientia Iranica
Volume 30, Issue 1
Transactions on Industrial Engineering (E)
January and February 2023
Pages 336-355

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