Risk Management for a Global Supply Chain Planning Under Uncertainty : Models and Algorithms

@article{You2009RiskMF,
  title={Risk Management for a Global Supply Chain Planning Under Uncertainty : Models and Algorithms},
  author={Fengqi You and John M. Wassick and Ignacio E. Grossmann},
  journal={Aiche Journal},
  year={2009},
  volume={55},
  pages={931-946}
}
In this article, we consider the risk management for mid-term planning of a global multi-product chemical supply chain under demand and freight rate uncertainty. A two-stage stochastic linear programming approach is proposed within a multi-period planning model that takes into account the production and inventory levels, transportation modes, times of shipments, and customer service levels. To investigate the potential improvement by using stochastic programming, we describe a simulation… Expand
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References

SHOWING 1-10 OF 56 REFERENCES
Managing demand uncertainty in supply chain planning
TLDR
A stochastic programming based approach is described to model the planning process as it reacts to demand realizations unfolding over time, which provides an effective tool for evaluating and actively managing the exposure of an enterprises assets to market uncertainties. Expand
Risk and uncertainty in managing chemical manufacturing supply chains
TLDR
A new metric is presented for evaluating supply chain design and planning projects in which there are significant elements of uncertainty and thus risk and an effective polytope integration method for evaluation of expected values and variances of revenue is adopted. Expand
Mid-term supply chain planning under demand uncertainty: customer demand satisfaction and inventory management
TLDR
A chance constraint programming approach in conjunction with a two-stage stochastic programming methodology is utilized for capturing the trade-off between customer demand satisfaction (CDS) and production costs. Expand
Simultaneous optimization of process operations and financial decisions to enhance the integrated planning/scheduling of chemical supply chains
TLDR
The modeling approach developed and the obtained results suggest that a new conceptual strategy in enterprise management systems consisting of the integration of the financial models of the enterprise with those dealing with the operative area is a must to improve the firm’s performance and its overall earnings and ensuring also healthy cash flow management. Expand
Risk Management in the Scheduling of Batch Plants under Uncertain Market Demand
A stochastic optimization approach is presented to manage risk in the short-term scheduling of multiproduct batch plants with uncertain demand. The problem is modeled using a two-stage stochasticExpand
Supply chain optimization in continuous flexible process networks
A multiperiod optimization model is proposed for addressing the supply chain optimization in continuous flexible process networks. The main feature of this study is that detailed operationalExpand
Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices
TLDR
A two-phase fuzzy decision-making method is presented and by means of application of it to a numerical example, proved effective in providing a compromised solution in an uncertain multi-echelon supply chain network. Expand
Financial risk management in the planning of refinery operations
Abstract Most models for refinery planning are deterministic, that is, they use nominal parameter values without considering the uncertainty. This paper addresses the issue of uncertainty and studiesExpand
Integrated production and distribution scheduling on a Europe-wide basis
We consider a large-scale scheduling problem in which three multipurpose production facilities in different countries supply a large portfolio of fast moving consumer products to the European market.Expand
Robust Process Planning under Uncertainty
The need to model uncertainty in process design and operations has long been recognized. A frequently taken approach, the two-stage paradigm, involves partitioning the problem variables into twoExpand
...
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5
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