Journals / Düzce Üniversitesi Bilim ve Teknoloji Dergisi / 2022 / Cilt: 10 - Sayı: 2

A Fuzzy Multi-Objective Mixed Integer Linear Programming Model for End of Life Use

Kullanım Ömrü Tamamlanmış Ürünler için Bulanık Çok Amaçlı Karma Tamsayılı Doğrusal Programlama

Pages
872–892
Publication Date
2022-10-12
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results of this study indicate that the proposed model can be used to design a sustainable reverse logistic network for end-of-life (EOL) products.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:One of the main challenges of designing the effective reverse logistic network is to predict the amount of product which reach end of their useful life.
📊
Key Findings & Data:Thus, in this study, we propose fuzzy multi-objective mixed integer linear programming (Fuzzy-MOMILP) model which the amount of returned product is considered as an uncertain parameter.
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Conclusion & Impact:The results of this study indicate that the proposed model can be used to design a sustainable reverse logistic network for end-of-life (EOL) products.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Bulanık yaklaşım · Çok amaçlı optimizasyon · Emisyon

Abstract

One of the main challenges of designing the effective reverse logistic network is to predict the amount of product which reach end of their useful life. Thus, in this study, we propose fuzzy multi-objective mixed integer linear programming (Fuzzy-MOMILP) model which the amount of returned product is considered as an uncertain parameter. In order to solve the proposed multi objective fuzzy mathematical programming model, a fuzzy solution approach is applied. The proposed Fuzzy-MOMILP model seeks to minimize the total reverse logistic network cost and minimize the total carbon emissions related to the transportation and processing of used products. To validate the model, a case study is examined. The results of this study indicate that the proposed model can be used to design a sustainable reverse logistic network for end-of-life (EOL) products.

Özet

Etkili bir tersine lojistik ağı tasarlamanın temel zorluklarından biri, kullanım ömrünü tamamlamış geri dönüşüm veya başka amaçlar için kullanılacak ürünlerin miktarını tahmin etmektir. Bu nedenle bu çalışmada, kullanım ömrünü tamamlamış ürünlerin geridönüşüm için veya başka maksatla kullanılacak olması sebebi ile geri dönüşüm döngüsünde ürün miktarının belirsiz bir parametre olarak kabul edildiği bulanık mantık çok amaçlı karma tamsayılı doğrusal programlama (Fuzzy-MOMILP) modeli önerilmiştir. Önerilen çok amaçlı bulanık mantık matematiksel programlama modelini çözmek için bir bulanık çözüm yaklaşımı uygulanmıştır. Önerilen Fuzzy-MOMILP modeli, toplam tersine lojistik ağ maliyetini en aza indirmeyi ve kullanılmış ürünlerin taşınması ve işlenmesiyle ilgili toplam karbon emisyonlarını en aza indirmeyi amaçlamaktadır. Önerilen modeli doğrulamak için bir vaka çalışması incelenmiştir. Bu çalışmanın sonuçları, önerilen modelin ömrünü tamamlamış ürünler için sürdürülebilir tersine lojistik ağı kurulurken fayda sağlayacağı gözlenmiştir.

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Cite This Article

ÇINAR, S. (2022). A Fuzzy Multi-Objective Mixed Integer Linear Programming Model for End of Life Use. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Cilt: 10 - Sayı: 2, 872–892. https://ajindex.com/articles/493842

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References (2)

  1. S. Hao, A. T.H. Kuah, C. D. Rudd, K.H. Wong, N. Y. G. Lai, J. Mao, X. Liu, "A circular economy approach to green energy: Wind turbine, waste, and material recovery," Science of The Total Environment, vol. 702, pp.135054, 2020, doi.org/10.1016/j.scitotenv.2019.135054
  2. S. Karavida and R. Nõmmik. “Waste Management of End-of-Service Wind Turbines,” M.S. thesis, Department of Development and Planning, Aalborg University, Aalborg, Denmark, 2015. [3]W. Post. (2013, May 11). Energy from wind turbines actually less than estimated? The Energy Collective. [Online]. Available: http://www.theenergycollective.com/willem-post/169521/wind-turbine-energy-capacity-less-estimated. [4]K. R. Haapala and P. Prempreeda, "Comparative life cycle assessment of 2.0 MW wind turbines," International Journal of Sustainable Manufacturing, vol.3, no. 2, pp. 170-185, 2014. [5]R. Geyer and T. Jackson, "Supply loops and their constraints: The industrial ecology of recycling and reuse," California Management Review, vol. 46, no. 2, pp. 55-73, 2004. [6]H. R. Krikke, A van Harten, and P. C Schuur, "Business case Océ: Reverse logistics network re-design for copiers," OR Spektrum, vol.21, no 3, pp. 381-409, 1999. [7]M. S. Amalnick and M. M. Saffar, "A new fuzzy mathematical model for green supply chain network design," International Journal of Industrial Engineering Computations, vol.8, no.1, pp.45–70, 2017. [8]H.J. Zimmermann, "Fuzzy Set and Systems," Fuzzy programming and linear programming with several objective functions, vol. 1, pp. 45-55, 1978. [9]M. Zarei, S. Mansour, A.H. Kashan, and B. Karimi, "Designing a Reverse Logistics Network for End-of-Life Vehicles Recovery End-of-Life Vehicles Recovery," Mathematical Problems in Engineering, vol. 2010, doi.org/10.1155/2010/649028. [10]J. Hanafi, S. Kara, and H. Kaebernick, "Reverse logistics strategies for end‐of‐life products," International Journal of Logistics Management, vol. 3, no. 19, 2008. [11]S Enes and N Öztürk, "Network modeling for reverse flows of end-of-life vehicles," Waste Management, 2015, doi.org/10.1016/J.WASMAN.2015.01.007 [12]R. Cruz-Rivera and J. Ertel, "Reverse logistics network design for the collection of End-of-Life Vehicles in Mexico," European Journal of Operational Research, vol. 196, no. 3, pp. 930-939, 2009. [13]M.Y. Jaber, C.H. Glock, and A.M. El Saadany, "Supply chain coordination with emissions reduction incentives," International Journal of Production Research, vol. 51, no.1, pp. 69-82, 2013. [14]A. Als