Performance measures based optimization of supply chain network resilience: A NSGA-II + Co-Kriging approach
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- 作者：Vijaya Dixita ; Navaneeth Seshadrinathb ; M.K. Tiwarib ; mkt09@hotmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Network resilience ; Multi-objective optimization ; Pareto frontier ; Co-Kriging ; Surrogate modelling
- 刊名：Computers & Industrial Engineering
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：93
- 期：Complete
- 页码：205-214
- 全文大小：1660 K
文摘
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Maximization of supply chain network resilience through performance measures: unfilled demand and transportation cost.
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Multi-Objective Stochastic Mixed-Integer Programming (MOS-MIP) is formulated.
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Computationally cheaper NSGA-II + Co-Kriging approach handles MOS-MIP formulation effectively.
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Enriched Pareto frontier for better decision making is obtained through Co-Kriging interpolation.
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Variance plot provides information about degree of uncertainty associated with a decision point.