بهینه‌سازی زنجیره تامین سبز با لحاظ فناوری مورد استفاده در تولید تحت شرایط عدم قطعیت

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 [3] A. Mahmoudi, M. Abedian, and D. Shishebori, “The Dual-Channel Green Supply Chain Performance Under Government Monitoring: A Game Theoretic Approach”, Advances in Industrial Engineering, vol. 54, pp. 423-446, 2020. DOI: 10.22059/jieng.2021.325645.1781

[4] M. Arabi, and M. R. Gholamian, “Sustainable Supply Chain Network Design with PriceBased Demand Considering Sound and Dust Pollutions: A Case Study”, Advances in Industrial Engineering, vol. 55(3) pp. 285-306, 2021. DOI: 10.22059/AIE.2021.331646.1809.

[5] M. L. Tseng, M. Shamimul Islam N. Karia, F. A. Fauzi, and S. Afrin, “A literature review on green supply chain management: Trents and future challenges”, Resources, Conservation and Recycling, vol. 141, pp. 145-162, 2019. DOI: 10.1016/j.resconrec.2018.10.009.

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 [7] C. Haiyun, H. Zhixiong,  S. Yuksel, and H. Dincer, “Analysis of innovation strategies for green supply chain management in the energy industry using the QFD-based hybrid interval valued intuitionistic fuzzy decision approach”, Renewable and Sustainable Energy Reviews, vol. 143, pp. 1-17, 2021. DOI: 10.1016/j.rser.2021.110844.

 [8] S. Benzidia, N. Makaoui, and O. Bentahar, “The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance”, Technological Forecasting and Social Change, vol. 165, pp. 1-13, 2021. DOI: 10.1016/j.techfore.2020.120557.

[9] A. M. Bashokouh, and K.V. Ebrahimi, “Investigating the Impact of Institutional Pressure and Market Orientation on the Green Supply Method and Competitive Advantage with the Mediating Role of Managerial Commitment (Case Study: Textile Industry)”, Iranian Journal of Supply Chain Management, vol. 25(78), PP. 9-21, 2023. (In Persian)

[10] A. Lotfi, M. Gholami, M. Lotfi Jalalabadi, A. Saadatian Asl, “Analyzing the Factors Affecting the Green Supply Chain Management in Logistic Systems”, Iranian Journal of Supply Chain Management, vol. 19, pp. 18-31, 2017. (In Persian)

 [11] M. Seifbarghy, M. Soleimani, and M. Jabbari, “Comparing Multi-Objective Meta-Heuristics for Multi- Commodity Supply Chain Design Problem with Partial Coverage”, Advances in Industrial Engineering, vol. 54(4), pp. 365-379, 2020. DOI: 10.22059/JIENG.2021.325287.1775.

 [12] F. Salehi, Y. Allahyari Emamzadeh, A. E. Mirzapour, S. M. J. hashem, and R. Shafiei Aghdam, “An L-Shaped Method to Solve a Stochastic Blood Supply Chain Network Design Problem in a Natural Disaster”, Advances in Industrial Engineering, vol. 55(1) pp. 47-68, 2021. DOI: 10.22059/jieng.2021.325375.1776.

 [13] A. Arasteh, “Optimizing Inventory Management Costs in Supply Chains by Determining Safety Stock Placement”, Journal of Optimization in Industrial Engineering, vol. 15(1), pp.1-15, 2022.

[14] S. Jalali, M. Seifbarghy, and S. T. Akhavan Niaki, “A Risk-averse Inventory-based Supply Chain Protection Problem with Adapted Stochastic Measures under Intentional Facility Disruptions: Decomposition and Hybrid Algorithms”, Journal of Optimization in Industrial Engineering,  vol. 13(2), pp. 211- 226, 2020. DOI: 10.22094/JOIE.2019.1868275.1654.

 [15] M. A. Ardakani, “A Multi-Objective Supply Chain Configuration for the Oil Industry under Uncertainty”, Advances in Industrial Engineering, vol. 56(1), pp. 15-41, 2022. DOI: 10.22059/AIE.2022.335295.1816.

 [16] D. Mohamadi Janaki, H. Izadbakhsh, S.M. Hatefi, M. Yavari, and M. Khalili Samani, “Supply Chain Network Performance Measurement and Improvement Using DEA and SCOR Models in Dynamic Conditions”,  Advances in Industrial Engineering, vol. 56(2) pp. 163-197, 2022. DOI: 10.22059/AIE.2022.341621.1833.

[17] A. Noorbakhsh, R. Soltani, M. Asadi Mafi, “Supply Chain and Predictability of Return”, Advances in Industrial Engineering, vol. 55(4), pp. 323- 333, 2021. DOI: 10.22059/aie.2021.330003.1803.

 [18] A. Shamekhi Amiri, and N. Manavizadeh, “Evaluating Barriers of Block chain-Based Platforms Implementation for Subsidized Foods Supply Chains: A Hybrid Approach Based on BWM and WINGS Methods. Advances in Industrial Engineering”, vol. 56(2), pp. 199-214, 2022. DOI:  10.22059/AIE.2022.341963.1834.

 [19] R. Kwesi Ansaha, and G. Ayoka Akipelub, “Integrating the Supply Chain to Excel: The Moderating Role of Competitive Advantage”, International Journal of Supply and Operations Management, vol. 8(4), pp. 401-415, 2021.

[20] T. Shahedi, A. Aghsami, and M. Rabbani, “Designing a green closed-loop supply chain network for the automotive tire industry under uncertainty”, Journal of Industrial and Systems Engineering, vol. 13(4), pp. 226-261, 2021.

[21] V. Razmjooei, I. Mahdavi, and M. M. Paydar, “A Fuzzy Bi-objective Optimization Algorithm Model to Design a Reverse Supply Chain Network: A Cuckoo Optimization Algorithm”, International Journal of Supply and Operations Management, vol. 9(3), pp. 360-378, 2022.

[22] D. Feizollahi, and V. Sharfi, “Development of a Closed-Loop Supply Chain Mathematical Model with Demand Constraints and Fuzzy Supplier Capacity and Solving it with Meta-Heuristic Algorithms”, Iranian Journal of Supply Chain Management, vol. 25(79), pp.17-38, 2023. Dor: 20.1001.1.20089198.1402.25.79.2.6 (In Persian) 

 [23] M. Ebrahimi, and R. Tavakkoli-Moghaddam,“Benders decomposition algorithm for a green closed-loop supply chain under a build-to-order environment”, Journal of Industrial and Systems Engineering, vol. 13, pp. 102-111, 2020.

[24] A. Goli, and A. M. Golmohammadi, “Multi-objective Optimization of Location and Distribution in a Closed-loop Supply Chain by Considering Market Share in Competitive Conditions”, International Journal of Supply and Operations Management, vol. 9(4), pp. 483-495, 2022. DOI: 10.22034/IJSOM.2021.109265.2285.