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Strategic optimization of wheat supply chain network under uncertainty: a real case study

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Abstract

Today, wheat and its by-products are considered the most important food grain source for humans across the world. Accordingly, integrally investigating the wheat supply chain is of great importance in strategic decisions. In this respect, this paper addresses a real case study of wheat supply chain in Iran as well as the entities involved it. Presenting a new mathematical model, the total cost of the wheat supply chain network design is optimized. The proposed model integrates collection, production, inventory, and distribution echelons of the wheat supply chain, simultaneously. The inherent uncertainty in supply, demand, related costs, and climate changing result in the different quality of wheat which make it challenging to design and manage an optimal structure for the wheat supply chain network. Hence, the role of uncertainty in the mathematical optimization model is highlighted, and then, a robust approach is utilized to tackle the inevitable uncertainty of parameters. The proposed robust model not only manage to overcome the complexity of uncertainty but also outperform the deterministic model. It shows the proposed robust model is more effective than deterministic one that can be applied to make robust strategic and tactical decisions for the wheat supply chain. Moreover, the sensitivity analysis of influential parameters is conducted. Finally, according to the obtained results as well as sensitivity analysis, some managerial insights are provided.

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References

  • Aghagholizade R (2016) Evaluation and classification and determination of coefficient of correlation between Iranian wheat characteristics. J Sci Food Ind 13:53

    Google Scholar 

  • Aliahmadi A (1989) The application of mathematical programming to locate and determine the optimal capacity of wheat silos Master’s Thesis. Tarbiat Modarres University, Tehran

  • Allaoui H, Guo Y, Choudhary A, Bloemhof J (2018) Sustainable agro-food supply chain design using two-stage hybrid multi-objective decision-making approach. Comput Oper Res 89:369–384

    Article  Google Scholar 

  • Amorim P, Curcio E, Almada-Lobo B, Barbosa-Póvoa APFD, Grossmann IE (2016) Supplier selection in the processed food industry under uncertainty. Eur J Oper Res 252(3):801–814

    Article  Google Scholar 

  • Apaiah RK, Hendrix EMT (2005) Design of a supply chain network for pea-based novel protein foods. J Food Eng 70(3):383–391

    Article  Google Scholar 

  • Asgari N, Farahani RZ, Rashidi-Bajgan H, Sajadieh MS (2013) Developing model-based software to optimise wheat storage and transportation: a real-world application. Appl Soft Comput 13(2):1074–1084

    Article  Google Scholar 

  • Banasik A, Kanellopoulos A, Claassen GDH, Bloemhof-Ruwaard JM, van der Vorst JGAJ (2017) Closing loops in agricultural supply chains using multi-objective optimization: a case study of an industrial mushroom supply chain. Int J Prod Econ 183:409–420

    Article  Google Scholar 

  • Ben-Tal A, Nemirovski A (1998) Robust convex optimization. Math Oper Res 23(4):769–805

    Article  Google Scholar 

  • Ben-Tal A, Nemirovski A (2000) Robust solutions of linear programming problems contaminated with uncertain data. Math Prog 88(3):411–424

    Article  Google Scholar 

  • Bertsimas D, Sim M (2003) Robust discrete optimization and network flows. Math Prog 98(1–3):49–71

    Article  Google Scholar 

  • Bertsimas D, Sim M (2004) The price of robustness. Oper Res 52(1):35–53

    Article  Google Scholar 

  • Bilgen B (2008) Modeling of a blending and marine transportation planning problem with fuzzy mixed-integer programming. Int J Adv Manuf Technol 36(9–10):1041–1050

    Article  Google Scholar 

  • Bilgen B, Ozkarahan I (2007) A mixed-integer linear programming model for bulk grain blending and shipping. Int J Prod Econ 107(2):555–571

    Article  Google Scholar 

  • Falasca M, Zobel CW (2011) A two-stage procurement model for humanitarian relief supply chains. J Humanit Logist Supply Chain Manag 1(2):151–169

    Article  Google Scholar 

  • Farahani RZ, Elahipanah M (2008) A genetic algorithm to optimize the total cost and service level for just-in-time distribution in a supply chain. Int J Prod Econ 111(2):229–243

    Article  Google Scholar 

  • Farahani RZ, Asgari N, Hojabri H, Jaafari AA (2009) Optimizing wheat storage and transportation system using a mixed integer programming model and genetic algorithm: a case study. In: IEEE international conference on industrial engineering and engineering management. IEEM 2009, pp 2109–2113

  • Ge H, Nolan J, Gray R, Goetz S, Han Y (2016) Supply chain complexity and risk mitigation: a hybrid optimization–simulation model. Int J Prod Econ 179:228–238

    Article  Google Scholar 

  • Ghezavati VR, Hooshyar S, Tavakkoli-Moghaddam R (2017) A Benders’ decomposition algorithm for optimizing distribution of perishable products considering postharvest biological behavior in agri-food supply chain: a case study of tomato. Central Eur J Oper Res 25(1):29–54

    Article  Google Scholar 

  • Gholamian MR, Taghanzadeh AH (2017) Integrated network design of wheat supply chain: a real case of Iran. Comput Electron Agric 140(2017):139–147

    Article  Google Scholar 

  • Govindan K, Jafarian A, Nourbakhsh V (2015) Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic. Comput Oper Res 62:112–130

    Article  Google Scholar 

  • Hasani A, Zegordi SH (2015) A robust competitive global supply chain network design under disruption: the case of medical device industry. Int J Ind Eng Prod Res 26(1):63–84

    Google Scholar 

  • Hosseini-Motlagh SM, Cheraghi S, Samani MG (2016) A robust optimization model for blood supply chain network design. Int J Ind Eng Prod Res 27(4):425–444

    Google Scholar 

  • Janova J (2014) Crop plan optimization under risk on a farm level in the Czech Republic. Agric Econ/Zemedelska Ekonomika 60(3):123

    Google Scholar 

  • Jena SD, Poggi M (2013) Harvest planning in the Brazilian sugar cane industry via mixed integer programming. Eur J Oper Res 230(2):374–384

    Article  Google Scholar 

  • Koopa M, Kani G (2006) Optimal transportation schedule of wheat using mathematical models. Iranian J Agric Sci 37–2:9

    Google Scholar 

  • Li X, Bonyadi MR, Michalewicz Z, Barone L (2013) Solving a real-world wheat blending problem using a hybrid evolutionary algorithm. In: 2013 IEEE congress on evolutionary computation (CEC). IEEE, pp 2665–2671

  • Lucas MT, Chhajed D (2004) Applications of location analysis in agriculture: a survey. J Oper Res Soc 55(6):561–578

    Article  Google Scholar 

  • Mahmoudinia M (2012) Hub location problem in the network of domestic wheat distribution. University of Amirkabir, Tehran, Iran

    Google Scholar 

  • Mogale DG, Kumar SK, Márquez FPG, Tiwari MK (2017) Bulk wheat transportation and storage problem of public distribution system. Comput Ind Eng 104:80–97

    Article  Google Scholar 

  • Omar A, Villalobos JR (2009) Application of planning models in the agri-food supply chain: a review. Eur J Oper Res 196(1):1–20

    Article  Google Scholar 

  • Rahmani D, Mahoodian V (2017) Strategic and operational supply chain network design to reduce carbon emission considering reliability and robustness. J Clean Prod 149:607–620

    Article  Google Scholar 

  • Samani MRG, Hosseini-Motlagh SM (2018) An enhanced procedure for managing blood supply chain under disruptions and uncertainties. Annals Oper Res 2008:1–50

    Google Scholar 

  • Samani MRG, Torabi SA, Hosseini-Motlagh SM (2018) Integrated blood supply chain planning for disaster relief. Int J Disaster Risk Reduct 27:168–188

    Article  Google Scholar 

  • Selin Soner K, Onut S (2010) A two-stage stochastic and robust programming approach to strategic planning of a reverse supply network: the case of paper recycling. Expert Syst Appl 37(9):6129–6137

    Article  Google Scholar 

  • Sheikhi A (1992) Optimization pattern of transportation of imported wheat. Silos Project of the Ministry of Jishad, Tehran, Iran

    Google Scholar 

  • Thakur M, Wang L, Hurburgh CR (2010) A multi-objective optimization approach to balancing cost and traceability in bulk grain handling. J Food Eng 101(2):193–200

    Article  Google Scholar 

  • Wang X, Li D, O’brien C (2009) Optimisation of traceability and operations planning: an integrated model for perishable food production. Int J Prod Res 47(11):2865–2886

    Article  Google Scholar 

  • Weintraub A, Romero C (2006) Operations research models and the management of agricultural and forestry resources: a review and comparison. Interfaces 36(5):446–457

    Article  Google Scholar 

  • Zhao X, Fang-wei WU (2009) Coordination of agri-food chain with revenue-sharing contract under stochastic output and demand. Chin J Manag Sci 5:013

    Google Scholar 

  • Zokaee S, Jabbarzadeh A, Fahimnia B, Sadjadi SJ (2017) Robust supply chain network design: an optimization model with real world application. Ann Oper Res 257(1–2):15–44

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Industrial Engineering, Iran University of Science and Technology, University Ave, Narmak, Tehran, 16846, Iran

    Seyyed-Mahdi Hosseini-Motlagh, Mohammad Reza Ghatreh Samani & Firoozeh Abbasi Saadi

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  1. Seyyed-Mahdi Hosseini-Motlagh
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  2. Mohammad Reza Ghatreh Samani
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  3. Firoozeh Abbasi Saadi
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Correspondence to Seyyed-Mahdi Hosseini-Motlagh.

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Hosseini-Motlagh, SM., Samani, M.R.G. & Abbasi Saadi, F. Strategic optimization of wheat supply chain network under uncertainty: a real case study. Oper Res Int J 21, 1487–1527 (2021). https://doi.org/10.1007/s12351-019-00515-y

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