A Multi-objective Optimization of Economic, Environmental and Social Aspects for Energy and Material Industrial Symbiosis with Supplier Disruption. Masters thesis, King Fahd University of Petroleum and Minerals.

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Arabic Abstract

تتناول هذه الرسالة ما يسمى بالصناعة التكافليّة، حيث تقوم المصانع بتبادل الطاقة والمواد الخام تكافليًا، ليتم الاستفادة من الموارد وعدم هدرها. أولًا، سيتم صياغة النموذج الرياضي الحديث، أخذًا بعين الاعتبار تبادل المواد الخام بالإضافة لتبادل الطاقة بين المصانع المُشاركة في التكافل. ثانيًا، سيتم إضافة ما يسمّى بالاضطرابات في التوريد إلى النموذج الرياضي ثم سيتم حلّه بالطرق المناسبة. تُشير نتائج هذا البحث أن المشاركة في الصناعة التكافليّة لها جوانب إيجابيّة عِدّة، من ضمنها الاقتصاديّة والبيئيّة والاجتماعيّة.

English Abstract

Industrial symbiosis, which allows companies and other entities to cooperate symbiotically by exchanging material, energy, waste water and by-products, can play a substantial role in improving economic, environmental and social aspects of the supply chain. Afshari et al. (2020) considered an energy symbiosis network where parties participating in the network exchange energy symbiotically. They formulated the problem as a multi-objective mixed-integer linear programming model. In this research, we extend the work of Afshari et al. (2020) to account for more realistic aspects of the industrial symbiosis network by considering material exchange as well as energy exchange. The material exchange is incorporated through a variation of the waste material recycling and exchanging network (WMREN) discussed by Haung et al. (2020). In addition, we consider supplier disruptions in the model which is modeled using chance constraints. The model is formulated as a multi-objective mixed-integer linear programming model and solved using a suitable optimization methodology. Epsilon-constraint method in conjunction with the distance method is used to handle the multi-objective nature of the model. Sensitivity analysis is also provided by varying important parameters and studying the impact on the model. Results prove that participating in a symbiosis network is economically, environmentally and socially advantageous.

Item Type:	Thesis (Masters)
Subjects:	Systems Environmental Engineering Research > Environment
Department:	College of Computing and Mathematics > lndustrial and Systems Engineering
Committee Advisor:	Abdel-Aal, Mohammed
Committee Members:	Al-Hanbali, Ahmad and Saleh, Haitham
Depositing User:	MUSTAFA ALABANDI (g201434800)
Date Deposited:	21 Feb 2023 06:09
Last Modified:	21 Feb 2023 06:09
URI:	http://eprints.kfupm.edu.sa/id/eprint/142341