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首页> 外文期刊>International journal of productivity and quality management >Bi-objective optimisation model with societal constraints for green closed loop supply chain network - a case of battery industry
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Bi-objective optimisation model with societal constraints for green closed loop supply chain network - a case of battery industry

机译：绿色闭环供应链网络的社会限制双目标优化模型 - 电池行业的情况

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摘要

Scrap-battery collection, recovery and new-battery production activities in the battery industries have increased a large quantity of materials and products distribution between the facilities. This situation leads to the sustainability issue in terms of higher transportation cost, greenhouse gas (GHG) emission and drivers fatigue (long driving). In order to address the sustainable issues, the present closed loop supply chain network (CLSCN) is customised. The objective of this paper is to develop bi-objective multi product multi echelon multi period green CLSCN model with societal constraints (GCLSCN-SC) to minimise: 1) the sum of distribution centres' (DC) storage capacity expansion cost and transportation cost; 2) the GHG emission (CO_(2)and NO_(x)). The storage capacity expansion strategy and the transportation strategy are established in the proposed model to stimulate the bi-directional flow of the products and materials between facilities and the model is solved by using GAMS-23.5. The performance of proposed model has been compared with the present model and the evaluation demonstrates that the proposed model is efficient. The analysed results of the proposed model under different scenarios are presented in this paper.
机译：Scrap-Battery收集，恢复和新电池生产活动在电池行业中增加了大量的材料和产品分布。这种情况导致可持续性问题在更高的运输成本，温室气体（GHG）排放和驾驶疲劳（长驾驶）方面。为了解决可持续问题，本发明的闭环供应链网络（CLSCN）是定制的。本文的目的是开发双目标多产品Multi Echelon多时期绿色CLSCN模型，具有社会约束（GCLSCN-SC），以最小化：1）分配中心'（DC）存储容量扩展成本和运输成本的总和; 2）温室气体发射（CO_（2）和NO_（x））。在所提出的模型中建立了存储容量扩展策略和运输策略，以刺激设施之间的产品和材料的双向流动，通过使用Gams-23.5来解决模型。所提出的模型的性能已经与本模型进行了比较，评价表明所提出的模型是有效的。本文提出了不同情景下提出模型的分析结果。

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