Kousar Sajida, Alvi Asma, Kausar Nasreen, Garg Harish, Kadry Seifedine, Kim Jungeun
Department of Mathematics and Statistics, International Islamic University, Islamabad, Pakistan.
Department of Mathematics, Faculty of Arts and Sciences, Yildiz Technical University, Istanbul, Turkiye.
PeerJ Comput Sci. 2025 Jan 13;11:e2591. doi: 10.7717/peerj-cs.2591. eCollection 2025.
Republicans and Democrats practically everywhere have been demonstrating concerns about environmental conservation to achieve sustainable development goals (SDGs) since the turn of the century. To promote fuel (energy) savings and a reduction in the amount of carbon dioxide CO emissions in several enterprises, actions have been taken based on the concepts described. This study proposes an environmentally friendly manufacturing system designed to minimize environmental impacts. Specifically, it aims to develop a sustainable manufacturing process that accounts for energy consumption and CO emissions from direct and indirect energy sources. A multi-objective mathematical model has been formulated, incorporating financial and environmental constraints, to minimize overall costs, energy consumption, and CO emissions within the manufacturing framework. The input model parameters for real-world situations are generally unpredictable, so a fuzzy multi-objective model will be developed as a way to handle it. The validity of the proposed ecological industrial design will be tested using a scenario-based approach. Results demonstrate the high reliability, applicability, and effectiveness of the proposed network when analyzed using the developed techniques.
自世纪之交以来，几乎各地的共和党人和民主党人都在表达对环境保护的关切，以实现可持续发展目标（SDGs）。为了促进几家企业的燃料（能源）节约和减少二氧化碳排放，已根据所述概念采取了行动。本研究提出了一种旨在尽量减少环境影响的环保制造系统。具体而言，其目的是开发一种可持续的制造工艺，该工艺考虑直接和间接能源的能源消耗和二氧化碳排放。已经制定了一个多目标数学模型，纳入了财务和环境约束，以在制造框架内尽量减少总成本、能源消耗和二氧化碳排放。实际情况的输入模型参数通常不可预测，因此将开发一个模糊多目标模型来处理它。将使用基于情景的方法来测试所提出的生态工业设计的有效性。结果表明，使用所开发的技术进行分析时，所提出的网络具有很高的可靠性、适用性和有效性。
