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Research Article

An integrated production–distribution optimization model for multinational manufacturing corporations

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Pages 29-45 | Received 08 Feb 2022, Accepted 08 Dec 2022, Published online: 28 Dec 2022

References

  • Adhami, A. Y., & Ahmad, F. (2020). Interactive Pythagorean hesitant fuzzy computational algorithm for multiobjective transportation problem under uncertainty. International Journal of Management Science and Engineering Management, 15(4), 288–297.
  • Alinezhad, M., Mahdavi, I., Hematian, M., & Tirkolaee, E. B. (2022). A fuzzy multi-objective optimization model for sustainable closed-loop supply chain network design in food industries. Environment, Development and Sustainability, 24(6), 8779–8806.
  • Amin, S. H., & Baki, F. (2017). A facility location model for global closed-loop supply chain network design. Applied Mathematical Modelling, 41, 316–330.
  • Anudari, C., Yun, Y., & Gen, M. (2022). Applying GA-VNS approach to supply chain network model with facility and route disruptions. International Journal of Management Science and Engineering Management, 1–15.
  • Arabani, A. B., & Farahani, R. Z. (2012). Facility location dynamics: An overview of classifications and applications. Computers & Industrial Engineering, 62(1), 408–420.
  • Arabsheybani, A., & Khasmeh, A. A. (2021). Robust and resilient supply chain network design considering risks in food industry: Flavour industry in Iran. International Journal of Management Science and Engineering Management, 16(3), 197–208.
  • Babaeinesami, A., Tohidi, H., Ghasemi, P., Goodarzian, F., & Tirkolaee, E. B. (2021a). A closed-loop supply chain configuration considering environmental impacts: A self-adaptive NSGA-II algorithm. Applied Intelligence, 1–19.
  • Babaeinesami, A., Tohidi, H., & Seyedaliakbar, S. M. (2021b). Designing a data-driven leagile sustainable closed-loop supply chain network. International Journal of Management Science and Engineering Management, 16(1), 14–26.
  • Bhutta, K. S. (2004). International facility location decisions: A review of the modelling literature. International Journal of Integrated Supply Management, 1(1), 33–50.
  • Bhutta, K. S., Huq, F., Frazier, G., & Mohamed, Z. (2003). An integrated location, production, distribution and investment model for a multinational corporation. International Journal of Production Economics, 86(3), 201–216.
  • Bo, V., Bortolini, M., Malaguti, E., Monaci, M., Mora, C., & Paronuzzi, P. (2021). Models and algorithms for integrated production and distribution problems. Computers & Industrial Engineering, 154, 107003.
  • Boone, T., & Ganeshan, R. (2022, April 26). How the war in Ukraine impacts global supply chains. IPS Journal. https://www.industryweek.com/leadership/article/22028157/5-growth-strategies-during-tariff-and-trade-uncertainty
  • Bowling, I. M., Ponce-Ortega, J. M., & El-Halwagi, M. M. (2011). Facility location and supply chain optimization for a biorefinery. Industrial & Engineering Chemistry Research, 50(10), 6276–6286.
  • Chen, L., Olhager, J., & Tang, O. (2014). Manufacturing facility location and sustainability: A literature review and research agenda. International Journal of Production Economics, 149, 154–163.
  • Chen, Z., & Peng, J. (2020). Competition strategy and governance policy for the dual international supply chains under trade war. International Journal of Management Science and Engineering Management, 15(3), 196–212.
  • Dhaenens-Flipo, C. (2000). Spatial decomposition for a multi-facility production and distribution problem. International Journal of Production Economics, 64(1–3), 177–186.
  • Dong, L., & Kouvelis, P. (2020). Impact of tariffs on global supply chain network configuration: Models, predictions, and future research. Manufacturing & Service Operations Management, 22(1), 25–35.
  • ERP Manufacturing Insights. (n.d.) Top 10 ERP. Accessed 15 July 2022. https://www.top10erp.org/blog/how_trade_tariffs_are_affecting_american_manufacturing
  • Fahimnia, B., Parkinson, E., Rachaniotis, N. P., Mohamed, Z., & Goh, A. (2013). Supply chain planning for a multinational enterprise: A performance analysis case study. International Journal of Logistics Research and Applications, 16(5), 349–366.
  • Habibi, F., Barzinpour, F., & Sadjadi, S. (2018). Resource-constrained project scheduling problem: Review of past and recent developments. Journal of Project Management, 3(2), 55–88.
  • Hammami, R., & Frein, Y. (2013). An optimisation model for the design of global multi-echelon supply chains under lead time constraints. International Journal of Production Research, 51(9), 2760–2775.
  • Isaloo, F., & Paydar, M. M. (2020). Optimizing a robust bi-objective supply chain network considering environmental aspects: A case study in plastic injection industry. International Journal of Management Science and Engineering Management, 15(1), 26–38.
  • Jifroudi, S., Teimoury, E., & Barzinpour, F. (2020). Designing and planning a rice supply chain: A case study for Iran farmlands. Decision Science Letters, 9(2), 163–180.
  • Jorge, J., & Simpson, B. (2019, August 29). 5 Growth Strategies During Tariff and Trade Uncertainty. Industry Week. https://www.industryweek.com/leadership/article/22028157/5-growth-strategies-during-tariff-and-trade-uncertainty
  • Levitt, T. (1983). The Globalisation of markets. Harvard Business Review, 61(3), 92–102.
  • Liang, T. F. (2008). Fuzzy multi-objective production/distribution planning decisions with multi-product and multi-time period in a supply chain. Computers & Industrial Engineering, 55(3), 676–694.
  • Liu, P., Hendalianpour, A., Razmi, J., & Sangari, M. S. (2021). A solution algorithm for integrated production-inventory-routing of perishable goods with transshipment and uncertain demand. Complex & Intelligent Systems, 7(3), 1349–1365.
  • Liu, S., & Papageorgiou, L. G. (2013). Multiobjective optimisation of production, distribution, and capacity planning of global supply chains in the process industry. Omega, 41(2), 369–382.
  • Madani, S. R., & Rasti-Barzoki, M. (2017). Sustainable supply chain management with pricing, greening and governmental tariffs determining strategies: A game-theoretic approach. Computers & Industrial Engineering, 105, 287–298.
  • Mehranfar, N., Hajiaghaei-Keshteli, M., & Fathollahi-Fard, A. M. (2019). A novel hybrid whale optimization algorithm to solve a production-distribution network problem considering carbon emissions. International Journal of Engineering, 32(12), 1781–1789.
  • Mehrjerdi, Y. Z., & Anvar, S. H. (2013). A mixed integer programming model for coordination of multi-product two-echelon supply chain using meta-heuristic solutions. Ind Eng Manage, 1(107), 2169–2316.
  • Melo, M. T., Nickel, S., & Saldanha-Da-Gama, F. (2009). Facility location and supply chain management–A review. European Journal of Operational Research, 196(2), 401–412.
  • Mishra, S., & Singh, S. P. (2020). Distribution network model using big data in an international environment. Science of the Total Environment, 707, 135549.
  • Mohamed, Z. M. (1999). An integrated production-distribution model for a multi-national company operating under varying exchange rates. International Journal of Production Economics, 58(1), 81–92.
  • Mohamed, Z. M., & Youssef, M. A. (2004). A production, distribution and investment model for a multinational company. Journal of Manufacturing Technology Management, 15(6), 495–510.
  • Nagurney, A., Besik, D., & Nagurney, L. S. (2019). Global supply chain networks and tariff rate quotas: Equilibrium analysis with application to agricultural products. Journal of Global Optimization, 75(2), 439–460.
  • Nguyen, V.-P., Prins, C., & Prodhon, C. (2012). A multi-start iterated local search with tabu list and path relinking for the two-echelon location-routing problem. Engineering Applications of Artificial Intelligence, 25(1), 56–71.
  • Perron, S., Hansen, P., Le Digabel, S., & Mladenović, N. (2010). Exact and heuristic solutions of the global supply chain problem with transfer pricing. European Journal of Operational Research, 202(3), 864–879.
  • Porter, M. E. (1985). Competitive advantage: Creating and sustaining superior performance (pp. 557). New York: The Free Press.
  • Pourjavad, E., & Mayorga, R. V. (2019). An optimization model for network design of a closed-loop supply chain: A study for a glass manufacturing industry. International Journal of Management Science and Engineering Management, 14(3), 169–179.
  • Roeger, W., & Welfens, P. J. (2022). The macroeconomic effects of import tariffs in a model with multinational firms and foreign direct investment. International Economics and Economic Policy, 1–22.
  • Sadjady, H., & Davoudpour, H. (2012). Two-echelon, multi-commodity supply chain network design with mode selection, lead-times, and inventory costs. Computers & Operations Research, 39(7), 1345–1354.
  • Shah, A. (2018, August 22). The impact of tariffs on engineering and manufacturing, Part 2. The American Society of Mechanical Engineers. https://www.industryweek.com/leadership/article/22028157/5-growth-strategies-during-tariff-and-trade-uncertainty
  • Shamsi, F., Mahdavi, I., & Paydar, M. (2020). A possibilistic programming approach to analyze a closed-loop polyethylene tanks supply chain based on decision tree and discounted cash flow. International Journal of Management Science and Engineering Management, 15(2), 106–121.
  • Soleimani, H., Seyyed-Esfahani, M., & Shirazi, M. A. (2013). Designing and planning a multi-echelon multi-period multi-product closed-loop supply chain utilizing genetic algorithm. The International Journal of Advanced Manufacturing Technology, 68(1–4), 917–931.
  • Solina, V., & Mirabelli, G. (2021). Integrated production-distribution scheduling with energy considerations for efficient food supply chains. Procedia Computer Science, 180, 797–806.
  • Sourirajan, K., Ozsen, L., & Uzsoy, R. (2007). A single-product network design model with lead time and safety stock considerations. IIE Transactions, 39(5), 411–424.
  • Susarla, N., & Karimi, I. A. (2012). Integrated supply chain planning for multinational pharmaceutical enterprises. Computers & Chemical Engineering, 42, 168–177.
  • Syam, S. S. (2000). Multiperiod capacity expansion in globally dispersed regions. Decision Sciences, 31(1), 173–195.
  • Tirkolaee, E. B., & Aydin, N. S. (2022). Integrated design of sustainable supply chain and transportation network using a fuzzy bi-level decision support system for perishable products. Expert Systems with Applications, 195, 116628.
  • Tirkolaee, E. B., Goli, A., & Mardani, A. (2021). A novel two-echelon hierarchical location-allocation-routing optimization for green energy-efficient logistics systems. Annals of Operations Research, 1–29.
  • Torabzadeh, S. A., Nejati, E., Aghsami, A., & Rabbani, M. (2022). A dynamic multi-objective green supply chain network design for perishable products in uncertain environments, the coffee industry case study. International Journal of Management Science and Engineering Management, 1–18.
  • Zhang, Y., Qi, M., Miao, L., & Liu, E. (2014). Hybrid metaheuristic solutions to inventory location routing problem. Transportation Research Part E: Logistics and Transportation Review, 70, 305–323.

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