弹性(材料科学)
持续性
备份
风险分析(工程)
订单(交换)
供应链
SWOT分析
功能(生物学)
计算机科学
选择(遗传算法)
环境经济学
灵敏度(控制系统)
运筹学
业务
过程管理
工程类
经济
生物
热力学
财务
电子工程
数据库
物理
进化生物学
人工智能
营销
生态学
作者
Fereshteh Vahidi,S. Ali Torabi,M.J. Ramezankhani
标识
DOI:10.1016/j.jclepro.2017.11.012
摘要
This study proposes a novel bi-objective two-stage mixed possibilistic-stochastic programming model to address sustainable supplier selection and order allocation problem under operational and disruption risks. A hybrid SWOT-QFD systematic framework is suggested for choosing the most influential sustainability criteria in accordance with the manufacturer's strategies. Furthermore, different proactive strategies such as contracting with backup suppliers, and considering excess capacity for supply nodes are used to enhance the resilience level of the selected supply base. A mixed sustainability-resilience objective function is also introduced to select a resiliently sustainable supply base. A number of numerical examples are tested to validate the formulated model and its solution method. A case study is also provided to demonstrate the applicability of the proposed framework in practice. Finally, a sensitivity analysis is carried out to show the merits of the proposed aggregate sustainability-resilience objective function.
科研通智能强力驱动
Strongly Powered by AbleSci AI