The Design of a Multi-directional Network Chain Model Offering a Closed Loop in the Automotive Industry by Providing Energy and Time Efficiency Programs

اختیاری، مصطفی؛ زندیه، مصطفی؛ عالم تبریز، اکبر؛ ربیعه، مسعود (1398). ارائه یک مدل برنامه‎ریزی دوسطحی برای زنجیره تأمین چند مرحله‎ای با تأکید بر قابلیت اطمینان در شرایط عدم قطعیت. مدیریت صنعتی، 2 (11)، 177 - 206.

حاجیان، سیما؛ افشار کاظمی، محمد علی؛ سیدحسینی، سید محمد؛ طلوعی اشلقی، عباس (1398). ارائه مدل چندهدفه برای مسئله مکان‎یابی ـ  مسیریابی ـ موجودی در شبکه زنجیره تأمین حلقه بسته سبز چند دوره‎ای و چند محصولی برای کالاهای فاسدشدنی. مدیریت صنعتی، 11 (1)، 83 – 110.  

سادات حسینی، سیدمحمد؛ رستمی، احمد؛ عبدی، حمید رضا (1392). مطالعه تطبیقی تأثیر بازیافت خودروهای فرسوده در کاهش تصادفات جاده‎ای. مطالعات مدیریت ترافیک، (31)، 17 – 34.

فتحی، محمدرضا؛ نصراللهی، مهدی؛ زمانیان، علی (1398). مدل‎سازی ریاضی شبکه زنجیره تأمین پایدار در وضعیت عدم قطعیت و حل آن با استفاده از الگوریتم‎های فراابتکاری. مدیریت صنعتی، 11 (4)، 621 – 652.

محمدی، امیرسالار؛ عالم تبریز، اکبر؛ پیشوایی، میرسامان (1397)، طراحی شبکه زنجیره تأمین سبز حلقه بسته همراه با تصمیم‎های مالی در شرایط عدم قطعیت. مدیریت صنعتی، 10 (1)، 61 – 84.

References

Ahmadi, Sh., Hassanzadeh Amin, S. (2019). An integrated chance-constrained stochastic model for a mobile phone closed-loop supply chain network with supplier selection. Journal of Cleaner Production, 226, 988-1003.

Barbosa-Póvoa, A.P., Silva, C., Carvalho, A. (2018). Opportunities and challenges in sustainable supply chain: An operations research perspective. European Journal of Operational Research, 268, 399-431. https://doi.org/10.1016/j.ejor.2017.10.036

Ekhtiari, M., Zandieh, M., Alem Tabriz, A., & Rabieh, M. (2019). Proposing a Bi-level Programming Model for Multi-echelon Supply Chain with an Emphasis on Reliability in Uncertainty. Industrial Management, 11(2), 177-206. (in Persian)

Farrokh, M., Azar, A., Jandaghi, Gh., Ahmadi, E. (2017). A novel robust fuzzy stochastic programming for closed loop supply chain network design under hybrid uncertainty. Fuzzy Sets and Systems, 3, 1-23. http://dx.doi.org/10.1016/j.fss.2017.03.019

Fathi, M.R., Nasrollahi, M., & Zamanian, A. (2019). Mathematical Modeling of Sustainable Supply Chain Networks under Uncertainty and Solving It Using Metaheuristic Algorithms. Industrial Management, 11(4), 621-652. (in Persian)

Ghahremani-Nahr, J., Kian, R., Sabet, E. (2019). A robust fuzzy mathematical programming model for the closed-loop supply chain network design and a whale optimization solution algorithm. Expert Systems with Applications, 116, 454 – 471.

Giampieri, A., Ling-Chin, J., Ma, Z., Smallbone, A., Roskilly, A. (2020). A review of the current automotive manufacturing practice from an energy perspective. Applied Energy 261, 114074.

De Giovanni, P. (2018). A joint maximization incentive in closed-loop supply chains with competing retailers: The case of spent-battery recycling. European Journal of Operational Research, 268(1), 128-147. http://dx.doi.org/10.1016/j.ejor.2018.01.003

Govindan, K., Mina, H., Esmaeili, A., Gholami-Zanjani, S.M. (2020). An Integrated Hybrid Approach for Circular supplier selection and Closed loop Supply Chain Network Design under Uncertainty. Journal of Cleaner Production, 242, 118317.

Govindan, K., Soleimani, H., Kannan, D. (2015). Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future. European Journal of Operational Research, 240, 603- 626. http://dx.doi.org/10.1016/j.ejor.2014.07.012

Guo, J., Wang, X., Fan, S., Gen, M. (2017). Forward and reverse logistics network and route planning under the environment of low-carbon emissions: A case study of Shanghai fresh food E-commerce enterprises. Computers & Industrial Engineering, 106, 351–360.

Hajian, S., Afshar Kazemi, M.A., Seyed Hosseini, S.M., & Toloie Eshlaghy, A. (2019). Developing a Multi-Objective Model for Locating-Routing-Inventory Problem in a Multi-Period and Multi-Product Green Closed-Loop Supply Chain Network for Perishable Products. Industrial Management Journal, 11(1), 83-110. (in Persian)

Hassanzadeh Amin, S., Baki, F. (2017). A facility location model for global closed-loop supply chain network design. Applied Mathematical Modelling, 41, 316-330. http://dx.doi.org/10.1016/j.apm.2016.08.030

Jabbarzadeh, A., Haughton, M., Khosrojerdi, A. (2018). Closed-loop supply chain network design under disruption risks: A robust approach with real world application. Computers & Industerial Engineering, 116, 178- 191. https://doi.org/10.1016/j.cie.2017.12.025

Kadambala, D., Subramanian, N., Tiwari, M., Abdulrahman, M., Liu, Ch. (2017). Closed loop supply chain networks: Designs for energy and time value efficiency. International Journal of Production Economics, 183, 382 – 402.

Mirzapour Al-e-hashem, S.M.J., Malekly, H., Aryanezhad, M.B. (2011). A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty. International Journal of Production Economics, 134, 28– 42.

Mohammadi, A.S., Alem Tabriz, A., & Pishvaee, M. (2018). Designing Green Closedloop Supply Chain Network with Financial Decisions under Uncertainty. Industrial Management, 10(1), 61- 84. (in Persian)

Özceylan, E., Demirel, N., Çetinkaya, C., Demirel, E. (2017). A closed-loop supply chain network design for the automotive industry in Turkey. Computers & Industrial Engineering, 113, 727-747. http://dx.doi.org/10.1016/j.cie.2016.12.022

Sadat Hosseini, S. M., Rostami, A., Abdi, H. R. (2014). A comparative study of the effect of recycling used cars in reducing road accidents. Traffic management studies Journal, 11(2), 17-34. (in Persian)

Saif, A., Elhedhli, S. (2015).  Cold Supply Chain Design with Environmental Considerations: A Simulation-Optimization Approach. European Journal of Operational Research, 251(1).  doi: 10.1016/j.ejor.2015.10.056

Samuel, C., Venkatadri, U., Diallo, C., Khatab, A. (2020). Robust closed-loop supply chain design with presorting, return quality and carbon emission considerations. Journal of Cleaner Production, 247, 119086.

Soleimani, H., Govindan, K. (2015). A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks. Applied Mathematical Modelling, 39, 3990-4010. http://dx.doi.org/10.1016/j.apm.2014.12.016

Soleimani, H., Govindan, K., Saghafi, H., Jafari, H. (2017). Fuzzy multi-objective sustainable and green closed-loop supply chain network design. Computers & industrial engineering, 109, 191- 210. http://dx.doi.org/10.1016/j.cie.2017.04.038

Srivastava, S. (2008). Network design for reverse logistics. Omega, 36, 535- 548. http://dx.doi.org/10.1016/j.omega.2006.11.012

Talaei, M., Moghaddam, B., Pishvaee, M., Bozorgi-Amiri, A., Gholamnejad, S. (2016). A robust fuzzy optimization model for carbon-efficient closed-loop supply chain network design problem: a numerical illustration in electronics industry. Journal of Cleaner Production, 113, 662-673.

Taleizadeh, A., Haghighi, F., Akhavan Niaki, S.T. (2019). Modeling and solving a sustainable closed-loop supply chain problem with pricing decisions and discounts on returned products. Journal of Cleaner Production, 207, 163-181,

Tosarkani, B. M., Hassanzadeh Amin, S. (2018). A possibilistic solution to configure a battery closed-loop supply chain: multi-objective approach. Expert Systems with Applications, 92, 12-26.

Yavari, M., 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.