منابع مشابه
Demand Forecasting Optimization in Supply Chain
To deal with the low accuracy of demand forecasting in supply chain, this paper uses the genetic algorithm to estimate the developing coefficient and the control variable of the GM(1,1) model and predicts the demand of every level in supply chain with this forecasting model, then uses a negotiation algorithm based on game theory to optimize the demand forecast when demand forecast disruption oc...
متن کاملIntegrating Demand and Supply Chain Management
Some companies concentrate on upgrading their supply chain operations. Others focus more on the demand side, seeking to improve the customer relationship processes. Yet the real key to market success is to effectively integrate the two initiatives. By doing so, you can offer customers a greatly enhanced value proposition. And this, in turn, leads to new T raditionally, supply chain management h...
متن کاملSupply chain structure and demand risk
V. Agrawal and S. Seshadri (2000) [Risk intermediation in supply chains. IIE Transactions, 32, 819–831] considered a problem in which 7 a single risk neutral distributor supplies a short-lifecycle, long-leadtime product to several retailers that are identical except in their attitudes towards risk. They proved that the distributor should not offer the same terms to every retailer but instead of...
متن کاملManaging demand uncertainty in supply chain planning
In this work, we provide an overview of our previously published works on incorporating demand uncertainty in midterm planning of multisite supply chains. A stochastic programming based approach is described to model the planning process as it reacts to demand realizations unfolding over time. In the proposed bilevel-framework, the manufacturing decisions are modeled as ‘here-and-now’ decisions...
متن کاملBioethanol supply chain system planning under supply and demand uncertainties
Amixed integer stochastic programming model is established to support strategic planning of bioenergy supply chain systems and optimal feedstock resource allocation in an uncertain decision environment. The two-stage stochastic programming model, together with a Lagrange relaxation based decomposition solution algorithm, was implemented in a realworld case study in California to explore the pot...
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ژورنال
عنوان ژورنال: Autex Research Journal
سال: 2012
ISSN: 1470-9589
DOI: 10.2478/v10304-012-0013-9