A Resilient-Sustainable SCND Using Multiple Sourcing and Backup Facility Strategies in Iran’s Broiler Network

Document Type : Research Paper

Authors

Department of Logistics and Supply Chain Engineering, School of Industrial Engineering Iran University of Science and Technology (IUST) Narmak, Tehran, Iran

Abstract

Today's food supply chains are increasingly vulnerable to uncertainties in both supply and demand, as well as unexpected disruptions. Broiler supply chains, among the most vital globally, are no exception. To address this, the proposed model for this essential product, spanning five tiers and covering 31 states, incorporates resilience strategies such as backup facilities and multiple sourcing. The model utilizes bi-objective, multi-period, and multi-product mixed-integer linear programming to account for all three pillars of sustainability. The primary objectives are to maximize total supply chain profit while minimizing carbon dioxide (CO₂) emissions from transportation. Real-world deterministic data is imported into the model, which is solved using General Algebraic Modeling System (GAMS) software. The ε-constraint method is employed to generate Pareto-optimal solutions for the competing objectives. Additionally, validation and sensitivity analysis are conducted on key parameters within reasonable ranges. The results demonstrate an enhanced network that is both more profitable and less environmentally harmful.

Keywords

Main Subjects

References

Al-Harrasi A, Al-Ajmi M, Al-Shidhani M, Ambu-Saidi M, Khadem M, Shamsuzzoha A, and Piya S (2017) "Modeling Supply Chain Network for a Poultry Industry in Oman: a Case Study." 7th Annual Conference on Industrial Engineering and Operations Management. IEOM Society. 2282-2288.
Arabi M, Yaghoubi S, and Tajik J (2019)"Algal biofuel supply chain network design with variable demand under alternative fuel price uncertainty: A case study." Computers & Chemical Engineering 130: 106528.
Bortolini M, Galizia F, Mora C, and Botti L (2018)"Bi-objective design of fresh food supply chain networks with reusable." Journal of Cleaner Production: 375-388.
Bottani E, Murino T, Schiavo M, and Akkerman R (2019) "Resilient food supply chain design: Modelling framework and metaheuristic solution approach." Computers & Industrial Engineering 135: 177-198.
Charnes A, and Cooper W.W (1961) Management Models and Industrial Applications of Linear Programming.
Charnes A, Cooper W.W, and Ferguson R.O (1955) "Optimal estimation of executive compensation by linear programming." Management science 1.2: 138-151.
Christopher M, and Peck H (2004)"Building the resilient supply chain." The International Journal of Logistics Management: 1-13.
Dubey O, Dwivedi R, and Singh S (2012)"Goal programming: a survey (1960-2000)." IUP J. Oper. Manage 11.2: 29.
Ekici A, Keskinocak P, and Swann J.L (2014)"Modeling Influenza Pandemic and Planning Food Distribution." Manufacturing & Service Operations Management 16.1: 11-27.
Fahimnia B, Jabbarzadeh A, and Sarkis J (2018)"Greening versus resilience: A supply chain design perspective." Transportation Research Part E: Logistics and Transportation Review 119: 129-148.
Fixel J (2006)"Sustainability and resilience: toward a systems approach." IEEE Engineering Management Review 35.3: 5-5.
Gholamian M.R, and Taghanzadeh A.H (2017)"Integrated network design of wheat supply chain: A real case of Iran." Computers and Electronics in Agriculture 140: 139-147.
Gholami-Zanjani S.M, Jabalameli M.S, and Pishvaee M.S (2021)"A resilient-green model for multi-echelon meat supply chain planning." Computers & Industrial Engineering 152: 107018.
Gholami-Zanjani S.M, Klibi W, Jabalameli M.S, and Pishvaee M.S (2021) "The design of resilient food supply chain networks prone to epidemic disruptions." International Journal of Production Economics 233: 108001.
Govindan K, Paamb P, and Abtahi A.R (2016)"A fuzzy multi-objective optimization model for sustainable reverse logistics network design." Ecological Indicators 67: 753–768.
Hu, C. F., Teng, C. J., & Li, S. Y. (2007). A fuzzy goal programming approach to multi-objective optimization problem with priorities. European journal of operational research, 176(3), 1319-1333.
Hobbs, J. E., & Hadachek, J. (2024). The Economics of Food Supply Chain Resilience. Annual Review of Resource Economics, 16.
Ivanov D (2018) Structural dynamics and resilience in supply chain risk management. Berlin: Springer International Publishing.
Jabbarzadeh A, Fahimnia B, and Sabouhi F (2018) "Resilient and sustainable supply chain design: sustainability analysis under disruption risks." International Journal of Production Research 56.17: 5945-5968.
Jabbarzadeh A, Haughton M, and Khosrojerdi A (2018)"Closed-loop Supply Chain Network Design under Disruption Risks: A Robust." Computers & Industrial Engineering 116: 178-191.
Jiang Y, Zhao L, and Sun S (2009)"A resilient strategy for meat-food supply chain network design." In 2009 IEEE International Conference on Industrial Engineering and Engineering Management,. 1479-1483.
Jolai F, Yazdian S.A, Shahanaghi K, and Khojasteh M.A(2011) "Integrating fuzzy TOPSIS and multi-period goal programming for purchasing multiple products from multiple suppliers." Journal of purchasing and Supply Management 17.1: 42-53.
Jones D, and Tamiz M (2010) Practical goal programming. Vol. 141. New York: Springer.
Jouzdani J, and Govindan K(2020) "On the sustainable perishable food supply chain network design: A." Journal of Cleaner Production. 278: 123060.
Kaur H, and Prakash Singh S (2016)"Sustainable procurement and logistics for disaster resilient supply chain." Annals of Operations Research: 309-354.
Katiar, A., Rashdi, R., Ali, Z., & Baig, U. (2018, March). Control and stability analysis of quadcopter. In 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) (pp. 1-6). IEEE.
Khadem M, Shamsuzzoha A, and Piya S (2017)"Optimization modeling of a poultry industry supply chain network." International Journal of Supply Chain Management 6.2: 27-32.
Mehrjerdi Y.Z, and Shafiee M (2020)"A resilient and sustainable closed-loop supply chain using multiple sourcing and information sharing strategies." Journal of Cleaner Production 289: 125141.
Miller H.E, and Engemann K.J(2019) "Resilience and sustainability in supply chains." In Revisiting Supply Chain Risk: 251-263.
Mohebalizadehgashti F, Zolfagharinia H, and Hassanzadeh Amina S (2020)"Designing a green meat supply chain network: A multi-objective approach." Designing a green meat supply chain network: A multi-objective approach: 312-327.
Munro, M., & Aouni, B. (2012). Group decision makers' preferences modelling within the goal programming model: An overview and a typology. Journal of Multi‐Criteria Decision Analysis, 19(3-4), 169-184.
Musavi M.M, and Bozorgi-Amiri A (2017)"A multi-objective sustainable hub location-scheduling problem." Computers & Industrial Engineering: 766-778.
Peng, P., L. V. Snyder, A. Lim, and Z. Liu. 2011. “Reliable Logistics Networks Design with Facility Disruptions.” Transportation Research Part B: Methodological 45: 1190–1211.
Rosic H, Bauer G, and Jammernegg W (2009)"A framework for economical and environmental sustainability and resilience of supply chains." Rapid modelling for increasing competitiveness. London: Springer. 91-104.
Sabouhi F, Pishvaee M.S, and Jabalameli M.S (2018) "Resilient supply chain design under operational and disruption risks considering quantity discount: A case study of pharmaceutical supply chain." Computers & Industrial Engineering 126: 657-672.
Snyder, L. V., and M. S. Daskin. 2005. “Reliability Models for Facility Location: The Expected Failure Cost Case.” Transportation Science 39: 400–416.
Su, I. H., Wu, L., & Tan, K. H. (2024). The future of the food supply chain: A systematic literature review and research directions towards sustainability, resilience, and technology adoption. Journal of Digital Economy.
Tirkolaee E.B, Goli A, Ghasemi P, and Goodarzian F (2022)"Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms." Journal of Cleaner Production 333: 130056.
Vali-Siar M.M, and Roghanian E (2022)"Sustainable, resilient and responsive mixed supply chain network design under hybrid uncertainty with considering COVID-19 pandemic disruption." Sustainable Production and Consumption 30: 278-300.
Wang X, Chen G, and Xu S (2022) "Bi-objective green supply chain network design under disruption risk through an extended NSGA-II algorithm." Cleaner Logistics and Supply Chain 3: 100025.
Yavari M, and Geraeli M (2019) "Heuristic method for robust optimization model for green closed-loop supply chain network design of perishable goods." Journal of Cleaner Production 226: 282-305.
Yavari M, and Zaker H (2020) "Designing a resilient-green closed loop supply chain network for perishable products by considering disruption in both supply chain and power networks." Computers and Chemical Engineering 134: 106680.
Kazancoglu, Y., Sezer, M. D., Ozbiltekin-Pala, M., Lafçı, Ç., & Sarma, P. R. S. (2024). Evaluating resilience in food supply chains during COVID-19. International Journal of Logistics Research and Applications, 27(5), 688-704.
Zahiri B, Zhuang J, and Mohammadi M (2017) "Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study." Transportation Research Part E: Logistics and Transportation Review 103: 109-142.
Advances in Industrial Engineering
Volume 58, Issue 1
June 2024
Pages 63-83

Files

Share

How to cite

Statistics