To stop or lessen factory pollution, many academics in the field of study have produced a vast array of strategies to achieve optimization goals. But, it is unable to follow a uniform solution for all production facilities. In this research work, green layout design (GLD) is proposed to minimize total material handling cost (TMHC) and CO2 emissions. The green facility layout refers to the facility layout with minimum CO2 emissions and to eliminate unnecessary energy dissipation from material handling equipments & production machineries, as well as plant re-layout in-term on material handling cost. In this study context, a Lagrangian relaxation model has been used at the allocation level. It computes a suboptimal solution to the dual problem in order to obtain a feasible solution. This enhanced algorithm method iteratively tries to minimize the gap between the dual and feasible solutions on minimal of TMHC and CO2 emission rate. It has been experimentally simulated using the MATLAB (Matrix Laboratory) application and upgraded adaptive salp swarm optimization (ASSO), dragon fly optimization (DFO) and Hybrid (combination) of ASSO-DFO evolutionary optimization techniques. The primary focus of this implementation is to control material handling between departments or cells, production flow between departments, energy consumption (electrical and gas consumption for production), and manpower utilization within and across departments. This research has chosen an existing and acceptable designs from targeted tyre manufacturing company in South India. The hybrid ASSO-DFO implementation TMHC differs from ABC by 60%, DFO by 65%, 58% with simulated annealing (SA), and ASSO by 48%. Emission rate decreased by 26% ABC, 21% DFO, and 24% SA & 18% with ASSO. An average of 50% decrease in TMHC and 25% reduction of CO2 emission rate in GLD have been achieved.

中文翻译：

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轮胎制造行业绿色布局设计元启发式技术的混合：优化分析

为了阻止或减少工厂污染，该研究领域的许多学者提出了大量的策略来实现优化目标。但是，它无法为所有生产设施遵循统一的解决方案。在这项研究工作中，提出了绿色布局设计（GLD），以最大限度地减少总材料处理成本（TMHC）和二氧化碳2排放。绿色设施布局是指二氧化碳排放最少的设施布局2排放并消除物料搬运设备和生产机械不必要的能源消耗，以及根据物料搬运成本进行工厂重新布局。在本研究背景下，拉格朗日松弛模型已在分配级别使用。它计算对偶问题的次优解以获得可行解。这种增强的算法方法迭代地尝试在 TMHC 和 CO 最小的情况下最小化对偶解和可行解之间的差距2排放率。它已经使用MATLAB（矩阵实验室）应用程序进行了实验模拟，并升级了自适应樽海鞘优化（ASSO）、蜻蜓优化（DFO）和ASSO-DFO进化优化技术的混合（组合）。该实施的主要重点是控制部门或单元之间的物料搬运、部门之间的生产流程、能源消耗（生产用电和燃气消耗）以及部门内部和跨部门的人力利用。本研究选择了印度南部目标轮胎制造公司现有且可接受的设计。混合 ASSO-DFO 实现 TMHC 与 ABC 相差 60%，与 DFO 相差 65%，与模拟退火 (SA) 相差 58%，与 ASSO 相差 48%。 ABC 排放率降低了 26%，DFO 降低了 21%，SA 排放率降低了 24%，ASSO 排放率降低了 18%。 TMHC 平均减少 50%，CO 平均减少 25%2GLD 的排放率已达到。