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فصلنامه علمی کارافن

بهینه سازی چرخه بازیافت کاغذ در صنعت بسته بندی: مدل ادغام شده عمودی با رویکرد الگوریتم جستجوی هارمونی و مقایسه با الگوریتم ژنتیک

نوع مقاله : مقاله پژوهشی (نظری)

نویسندگان
1 گروه مدیریت صنعتی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران.
2 استاد، گروه مدیریت صنعتی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران،
3 دانشیار، گروه مدیریت صنعتی، واحد تهران مرکزی، دانشگاه آزاد اسلامی، تهران، ایران،
4 استاد، گروه مدیریت و اقتصاد ، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران،
10.48301/kssa.2025.479927.3001
چکیده
زمینه پژوهش: مدیریت زنجیره تأمین حلقه بسته (CLSC) نقش حیاتی در بهینه‌سازی جریان مواد از تولید تا بازیافت و بازتولید دارد و از این رو به عنوان ابزاری کلیدی برای کاهش هزینه‌ها و اثرات زیست‌محیطی در صنایع مختلف شناخته می‌شود.

هدف: این پژوهش با هدف بهینه‌سازی هزینه‌های زنجیره تأمین از طریق ادغام عمودی مراکز تولید کاغذ و کارتن و بهره‌گیری از مدل‌های پیشرفته بهینه‌سازی انجام گرفته است.

روش‌شناسی: در این تحقیق، زنجیره تأمین حلقه بسته به صورت یکپارچه مدل‌سازی و برای بهینه‌سازی آن از دو الگوریتم فراابتکاری؛ یعنی الگوریتم ژنتیک (GA) و الگوریتم جستجوی هارمونی (HSA) بهره گرفته شده است. کارآیی این الگوریتم‌ها از طریق مطالعه موردی واقعی در صنعت بسته‌بندی و با استفاده از داده‌های عینی مورد ارزیابی و مقایسه قرار گرفته است.

یافته‌ها: نتایج حاکی از آن است که الگوریتم جستجوی هارمونی در کاهش هزینه‌های کلی زنجیره تأمین نسبت به الگوریتم ژنتیک عملکرد بهتری از خود نشان داده است و به‌ویژه در کاهش هزینه‌های موجودی و حمل‌ونقل برتری قابل‌توجهی داشته است.

نتیجه‌گیری: ادغام عمودی و استفاده از الگوریتم‌های بهینه‌سازی مذکور بهبود چشمگیری در کارایی زنجیره تأمین صنعت بسته‌بندی و کاهش اثرات زیست‌محیطی به همراه دارد. در آینده، بررسی الگوریتم‌های فراابتکاری دیگر و گنجاندن پارامترهای عدم قطعیت در مدل می‌تواند منجر به تعمیم‌پذیری و کارآمدی بیشتر نتایج گردد.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Optimization of the Paper Recycling Cycle in the Packaging Industry: A Vertically Integrated Model Using Harmony Search Algorithm and Comparison with Genetic Algorithm

نویسندگان English

Mahdi Alizadeh Beromi 1
Mohammad Ali Afsharkazemi 2
Mohammad ali Keramati, 3
Abbas Toloie Eshlaghy 4
1 Department of Industrial Management, Islamic Azad University Central , Tehran, Iran, .
2 Associate Professor, Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran, .
3 Associate Professor, Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran, .
4 Professor, Management and Economics Department, Science and Research Branch, Islamic Azad University, Tehran, Iran, .
چکیده English

Research Background: Closed-loop supply chain (CLSC) management plays a critical role in optimizing the flow of materials from production to recycling and remanufacturing. As such, it is recognized as a key tool for reducing costs and environmental impacts across various industries.

Objective: This study aims to optimize supply chain costs through vertical integration of paper and cardboard production centers, leveraging advanced optimization models.

Methodology: In this research, the closed-loop supply chain is comprehensively modeled, and two metaheuristic algorithms—Genetic Algorithm (GA) and Harmony Search Algorithm (HSA)—are employed for optimization. The efficiency of these algorithms was evaluated and compared through a real-world case study in the packaging industry using empirical data.

Findings: The results indicate that the Harmony Search Algorithm outperforms the Genetic Algorithm in reducing overall supply chain costs, demonstrating notable superiority in minimizing inventory and transportation costs.

Conclusion: Vertical integration and the application of the aforementioned optimization algorithms lead to significant improvements in the efficiency of the packaging industry supply chain and reduce environmental impacts. Future studies should explore other metaheuristic algorithms and incorporate uncertainty parameters in the model to enhance generalizability and effectiveness.

کلیدواژه‌ها English

Vertical integration
Harmony Search Algorithm
Genetic Algorithm
Recycling
Optimization
Closed-loop supply chain
[1]  Darvish motevalli, M.H., & Salehi moghadam, S, A New Model for the four-level multi-product supply chain optimization based on stochastic demand with probability distribution function. Karafan Journal, (), -. doi: 10.48301/kssa.2024.421665.2742. https://karafan.tvu.ac.ir/article_194504.html  ?lang=en. (In Persian). 2024.
[2]  Shamsi Gooshki, S., & Nami, A, Identifying, Prioritizing and Determining the Relationships of Supply Chain Agility Components with Fuzzy DEMATEL Approach in Oil and Gas Industry in Khuzestan Province. Karafan Journal, 20(Special Issue), 693-714. , 2023. doi: 10.48301/kssa.2022.316790.1868 https://karafan.tvu.ac.ir/article_145977.html?lang=en. (In Persian).
[3]  Diaz-Elsayed, N., Jondral, A., Greinacher, S., Dornfeld, D., & Lanza, G, Assessment of lean and green strategies by simulation of manufacturing systems in discrete production environments. CIRP Annals, 62(1), 475-478. https://www.sciencedirect.com/science/article/abs/pii/S000785061300067X., 2013.
[4]  Panahizadeh, V., & Abdolahzadeh, H, A Hybrid Algorithm based on Differential Evolution, Artificial Immune System and Particle Swarm Algorithms for Selection of Optimal Machining Parameters in Milling Operations. Karafan Journal, 19(3), 163-185.doi:  10.48301/kssa. 2022.321254. 1914.https://karafan.tvu.ac.ir/article_150645.html?lang=en. (In Persian). 2022.
[5]  Farooque, M., Zhang, A., Thürer, M., Qu, T., & Huisingh, D, Circular supply chain management: A definition and structured literature review. Journal of Cleaner Production, 228, 882-900. https://www.sciencedirect.com/science/ article/abs/pii/S0959652619314003., 2019.
[6]  Hobson, K., Closing the loop or squaring the circle. Locating generative spaces for the circular economy. Progress in Human Geography, 40(1), 88-104. https://journals.sagepub.com/doi/abs/10.1177/0309132514566342 . 2016.
[7]  Preston, F., A global redesign. Shaping the circular economy. https://www.academia.edu/download/32547802/A_global_redesign_-_shaping the_circular_economy.pdf., 2012.
[8]  Guide Jr, V.D.R., & Van Wassenhove, L. N, Closed‐loop supply chains: an introduction to the feature issue (part 1). Production and Operations Management, 15(3), 345-350., 2006. https://journals.sagepub.com/doi/abs/10.1111/ j.1937-5956.2006.tb00156.x.
[9]  Toffel, M.W., Strategic management of product recovery. California Management Review, 46(2), 120-141, 2004. https://journals.sagepub.com/doi/abs/ 10.2307/41166214
[10] Moula, M.E., Sorvari, J., & Oinas, P, Constructing a green circular society. https://research.aalto.fi/en/publications/constructing-a-green-circular-society, 2017.
[11] Weetman, C., A circular economy handbook for business and supply chains: Repair, remake, redesign, rethink. Kogan Page Publishers. https://archive.org/ details/circulareconomyh0000weet . , 2016.
[12] Babazadeh, R., Presenting a Comprehensive Mathematical Programming Model for an Integrated Production–Distribution Planning in a Closed-Loop Supply Chain. Advances in Industrial Engineering, 52(2), 149-16. https://aie.ut.ac.ir/article_71062.html .(In Persian). , 2018.
[13] Hatefi, S.M., & Jolai, F, Robust and reliable forward–reverse logistics network design under demand uncertainty and facility disruptions. Applied mathematical modelling, 38(9-10), 2630-2647. https://www.sciencedirect.com /science/article/pii/S0307904X13007191, 2014.
[14] Devika, K., Jafarian, A., & Nourbakhsh, V, Designing a sustainable closed-loop supply chain network based on triple bottom line approach: A comparison of metaheuristics hybridization techniques. European journal of operational research, 235(3), 594-615. https://www.sciencedirect.com/science/article/abs/ pii/S0377221713010163, 2014.
[15] Duan, W., Li, X., Xu, D., Ma, H., Sai, F., & Lian, X, ECONOMIC PSYCHOLOGY ANALYSIS OF RECYCLERS'EMOTIONAL STABILITY IN CLOSED-LOOP SUPPLY CHAIN UNDER UNCERTAINTY. International Journal of Neuropsychopharmacology, 25(Supplement_1), A55-A56. https://academic.oup.com/ijnp/article/25/Supplement_1/A55/6633428 2022.
[16] Shen, Y., Gao, T., Song, Z., & Ma, J, Closed-Loop Supply Chain Decision-Making and Coordination Considering Fairness Concerns under Carbon Neutral Rewards and Punishments. Sustainability, 15(8), 6466. https://www.mdpi.com /2071-1050/15/8/6466 . 2023.
[17] Alizadeh Beromi, M., Afshar Kazemi, M. A., Keramati, M., & Toloie Ashlaghi, A, Design and description of a pricing model in a four-level closed-loop supply chain considering uncertainty in the paper industry. Management of Development and Transformation. JDEM-2311-3194. https://sanad.iau.ir /Journal/jdem/Article/949552 . (In Persian). 2024.
[18] Harrigan, K.R., Vertical integration and corporate strategy. Academy of Management‌ journal, 28(2), 397-425. https://journals.aom.org/doi/abs/10.5465/ 256208., 1985.
[19] Hamilton, J.L., & Mqasqas, I. M, Direct vertical integration strategies. Southern Economic Journal, 220-234. https://www.jstor.org/stable/ 1061048, 1997.
[20] Khanuja, A., & Jain, R. K, Supply chain integration: a review of enablers, dimensions and performance. Benchmarking: An international journal, 27(1), 264-301. https://www.emerald.com/insight/content/doi/10.1108/BIJ-07-2018- 0217/ full/html, 2019.
[21] Harahap, A.Z.M.K., & Rahim, M. K. I. A, Saving Concepts in Supply Chain Management: A Study on Inventory and Transportation Costs. https://www.researchgate.net/publication/371359891_Saving_Concepts_in_Supply_Chain_Management_A_Study_on_Inventory_and_Transportation_Costs, 2023.
[22] Du, X., Shi, G., & Zhao, Y, The Path of Artificial Intelligence Technology to Reduce Cost and Increase Efficiency of E-Commerce Supply Chain. In Proceedings of the 2022 6th International Conference on Software and e-Business (pp. 28-32). https://dl.acm.org/doi/abs/10.1145/3578997.3579014, 2022.
[23] Damodaram, A.K., Reddy, L. V., Davanam, G., & Thejasree, P, Optimization of End-to-end Supply Chain Costs to Maximize Revenue and Profits From Supply Chain Operations. https://www.researchsquare.com /article/rs-1599398/v1., 2022.
 
 
[24] Ait Laamim, M., Makrizi, A., & Essoufi, E. H, Application of Genetic Algorithm for Solving Bilevel Linear Programming Problems. Bioinspired Heuristics for Optimization, 123-136. https://link.springer.com/chapter/10. 1007/978-3-319-95104-1_8, 2019.
[25] Zhao, Y., Shen, Y., & Yan, J, Design and application of genetic algorithm based on signal game and newsboy model for optimizing supply chain. Discrete Dynamics in Nature and Society, 2021, 1-9. https://onlinelibrary.wiley.com/ doi/full/10.1155/2021/6144258, 2021.
[26] Chaharmahali, G., Ghandalipour, D., Jasemi, M., & Molla-Alizadeh-Zavardehi, S, Modified metaheuristic algorithms to design a closed-loop supply chain network considering quantity discount and fixed-charge transportation. Expert Systems with Applications, 202, 117364. https://www.sciencedirect.com/scie nce/article/abs/pii/S0957417422007163., 2022.
[27] Abed, A.M., Seddek, L. F., & AlArjani, A, Enhancing Two-Phase Supply Chain Network Distribution via Three Meta-Heuristic Optimization Algorithms Subsidized by Mathematical Procedures. Journal of Advanced Manufacturing Systems, 22(03), 445-476. https://www.worldscientific.com/doi/abs/10.1142/ S0219686723500221, 2023.
[28] Firoozi, Z., Ismail, N., Ariafar, S. H., Tang, S. H., & Ariffin, M. K. M. A, A genetic algorithm for solving supply chain network design model. In AIP Conference Proceedings. American Institute of Physics. https://link.springer.com/chapter/10.1007/978-3-319-17906- 3_4., 2013. (Vol. 1557, No. 1, pp. 211-214).
[29] Zhang, F., Hu, Z., Yang, Y., & Ma, X, Complex dynamics analysis of closed-loop supply chain considering CSR and fairness concerns. Discrete Dynamics in Nature and Society, 2021, 1-23.https://onlinelibrary.wiley.com/ doi/full/10.1155/2021/7787420., 2021.
[30] Misni, F., Lee, L. S., & Seow, H. V, Hybrid harmony search-simulated annealing algorithm for location-inventory-routing problem in supply chain network design with defect and non-defect items. . Hybrid harmony search-simulated annealing algorithm for location-inventory-routing problem in supply chain network design with defect and non-defect items. , 2020.
[31] Zarrinpoor, N., & Omidvari, Z, A Robust Optimization Model for the Strategic and Operational Design of the Oil Supply Chain. Journal of Industrial Management Perspective, 10(Issue 4, Winter 2021), 155-191. doi: 10.52547/jimp.10.4.155. https://jimp.sbu.ac.ir/article_87605.html?lang=en. (In Persian). 2020.
[32] Bányai, T., Optimisation of multi-level supply chain of automatised production systems with harmony search algorithm. In Proceedings of the II. European conference on logistics (pp. 65-71). https://econpapers .repec.org/article/pczalspcz/v_3a5_3ay_3a2011_3ai_3a1_3ap_3a13-18.htm, 2011.
 
دوره 22، شماره 3
فنی و مهندسی
پاییز 1404
صفحه 378-399

  • تاریخ دریافت 12 مهر 1403
  • تاریخ بازنگری 30 آبان 1403
  • تاریخ پذیرش 10 دی 1403