Optimization of cost and service level in the presence of supply chain disruption risks: single vs. multiple sourcing

DOI10.1016/j.cor.2014.04.006zbMath1348.90125OpenAlexW1989407590MaRDI QIDQ337101

Tadeusz J. Sawik

Publication date: 10 November 2016

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2014.04.006

zbMATH Keywords

mixed integer programmingstochastic schedulingsupplier selectiondisruption riskssingle vs. multiple sourcing

Mathematics Subject Classification ID

Mixed integer programming (90C11) Transportation, logistics and supply chain management (90B06) Stochastic scheduling theory in operations research (90B36)

Related Items (12)

Service supply chain management: a review of operational models ⋮ An improved diffusion model for supply chain emergency in uncertain environment ⋮ Supplier selection problem for multiple projects with uncertain demand and project life cycles ⋮ Two-stage hybrid model for supplier selection and order allocation considering cyber risk ⋮ Conditional value‐at‐risk beyond finance: a survey ⋮ Sources of uncertainty and risk quantification methods in supply chain management: a literature study ⋮ Managing risk and disruption in production-inventory and supply chain systems: a review ⋮ PPE supply optimization under risks of disruption from the COVID-19 pandemic ⋮ Healthcare inventory management in the presence of supply disruptions and a reliable secondary supplier ⋮ Stochastic versus deterministic approach to coordinated supply chain scheduling ⋮ Mixed Integer Programming Approaches to Planning and Scheduling in Electronics Supply Chains ⋮ Supply chain scheduling in a collaborative manufacturing mode: model construction and algorithm design

Cites Work

• A scenario-based stochastic model for supplier selection in global context with multiple buyers, currency fluctuation uncertainties, and price discounts
• Mean-CVaR portfolio selection: a nonparametric estimation framework
• Sourcing strategies in supply risk management: an approximate dynamic programming approach
• Selection of a dynamic supply portfolio in make-to-order environment with risks
• Infinite-horizon models for inventory control under yield uncertainty and disruptions
• The integrated production-inventory-distribution-routing problem
• Scheduling in Supply Chains Using Mixed Integer Programming
• Order Assignment and Scheduling in a Supply Chain
• Integrated Scheduling of Production and Distribution Operations
• Single versus multiple sourcing in the presence of risks

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