[PDF] Top 20 A two-stage stochastic programming model for value-based supply chain network design

... Nowadays, Value-based Supply Chain Management (VbSCM) is considered a resource of competitive advantages, and companies with long term strategic plans nd the VbSCM an eective factor in ... See full document

... parameter design which is based on reducing the effect of causes of variation and improving the quality of ...from two significant tools, the signal-to-noise ratio (S/NR) and orthogonal array ... See full document

... specific network design problems for reverse and integrated logistics network design ...linear programming to consider dynamic pricing approach for used products, forward/reverse ... See full document

... generic stochastic model for the design of networks comprising both supply and return channels organized in a closed loop ...proposed model accounts for a number of scenarios which may ... See full document

... a two-stage stochastic programming ...their model. Kagawa et al. (2015) identified Global Supply Chain Network (GSCN) clusters with high Co 2 ... See full document

... preference based membership function to GP, many achievements have been reported in the literature such as preemptive FGP, weight additive model, stochastic model, and real-life case studies ... See full document

... design consists of the determination of locations, numbers, and capacities of network facilities as well as the arrangement of the material flows between ...the network and the missions regarding ... See full document

... generated based on the error terms, which follows normal distribution with mean zero and variance σ ε 2 ...customers based on the method will explain in Subsection ...series model, the demand of a ... See full document

... extended model, the data is extracted from an Iranian tire manufacturing supply ...are two different production technologies that can affect reliability of supply chain ...Therefore, ... See full document

... a stochastic search approach which imitates the process of evolution and natural selection for finding the near-optimal ...over, two chromosomes (parents) are combined (mated) to produce a new chromosome ... See full document

... a stochastic mixed integer programming model to integrating both forward and reverse supply chain network design under demand and returned products ...are two major ... See full document

... a two-stage (bi-level) stochastic programming framework for transportation planning in disaster response, modeling the resource mobilization system within a probabilistic ... See full document

... Closed-Loop Supply Chain (CLSC) has been appealing for researchers in the last decade [14, ...SC network considers the reverse and forward SC in an integrated manner ...for two types of ... See full document

... any two first-stage decisions and 3 hours as the maximum computational time ...associated network design model was created with CPLEX Concert Technology and solved by the CPLEX Mixed ... See full document

... a supply chain network with four echelons consisting of suppliers, manufacturers, warehouses, and ...the supply chain under consideration, all manufacturers belong to a single ...and ... See full document

... analyzing two-echelon in- ventory ...presented. Based on the existing models by scholars, a new stochastic dynamic programming approach is sought in order to relate state-transitions with cus- ... See full document

... a supply chain ...application design of products, customers' expectations, products' life cycles and market characteristics can be fluctuated during a production ...during design stage ... See full document

... state, supply chain tangible assets, and supply chain intangible assets are considered as the alternatives in the ...of supply chain in long ... See full document

... and supply chain management (SCM) is critical to compete in the current turbulent ...global supply chain with related risks and measurement of the risks using ...regard, two popular ... See full document

... above model, equation (4) is the objective function for the first stage by which the costs imposed on a system is minimized, consisting of deterministic machine purchase costs and the average of ... See full document