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Modelling of sustainable food grain supply chain distribution system: a bi-objective approach

机译:可持续食品粮食供应链分配系统建模:双客观方法

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Growing food demand, environmental degradation, post-harvest losses and the dearth of resources encourage the decision makers from developing nations to integrate the economic and environmental aspects in food supply chain network design. This paper aims to develop a bi-objective decision support model for sustainable food grain supply chain considering an entire network of procurement centres, central, state and district level warehouses, and fair price shops. The model seeks to minimise the cost and carbon dioxide emission simultaneously. The model covers several problem peculiarities such as multi-echelon, multi-period, multi-modal transportation, multiple sourcing and distribution, emission caused due to various motives, heterogeneous capacitated vehicles and limited availability, and capacitated warehouses. Multiple realistic problem instances are solved using the two Pareto based multi-objective algorithms. Sensitivity analysis results imply that the decision makers should establish a sufficient number of warehouses in each producing and consuming states by maintaining the suitable balance between the two objectives. Various policymakers like Food Corporation of India, logistics providers and state government agencies will be benefited from this research study.
机译:粮食需求不断增长,环境退化,收获后损失和资源的缺乏鼓励发展中国家的决策者整合食品供应链网络设计中的经济和环境方面。本文旨在为可持续食品粮食供应链制定双目标决策支持模型,考虑整个采购中心,中央,州和区级仓库和公平价格商店。该模型旨在使成本和二氧化碳发射同时最小化。该模型涵盖了多个问题特性,如多梯队,多时段,多模态运输,多种采购和分布,由于各种动机,异构电容车辆和有限的可用性而引起的发射,以及电容仓库。使用基于两个帕累托的多目标算法来解决多个现实问题实例。敏感性分析结果意味着决策者应通过维持两个目标之间的适当平衡,在每个生产和消费状态下建立足够数量的仓库。各种决策者喜欢印度食品公司,物流提供商和州政府机构将受益于此研究研究。

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