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A possibilistic decision model for new product supply chain design

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References

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1995The Evolution of Supply-Chain-Management Models and Practice at Hewlett-Packard458 cited
2000

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Optimizing Strategic Safety Stock Placement in Supply Chains

415 cited

2003Fuzzy scheduling: Modelling flexible constraints vs. coping with incomplete knowledge291 cited

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2012Reliable design of a forward/reverse logistics network under uncertainty: A robust-M/M/c queuing model165 cited
2014Sustainable hub location under mixed uncertainty159 cited
2011Supply chain risk management: review, classification and future research directions155 cited
2015A bi-objective interval-stochastic robust optimization model for designing closed loop supply chain network with multi-priority queuing system130 cited
2012Reliable design of a closed loop supply chain network under uncertainty: An interval fuzzy possibilistic chance-constrained model94 cited
2010A comprehensive decision-making model for risk management of supply chain77 cited
2015Multi-objective hub network design under uncertainty considering congestion: An M/M/c/K queue system69 cited
2019Review of supply chain configuration and design decision-making for new product65 cited
2012Reliable design of a logistics network under uncertainty: A fuzzy possibilistic-queuing model63 cited
2015Robust and fuzzy goal programming optimization approaches for a novel multi-objective hub location-allocation problem: A supply chain overview61 cited
2016Optimizing fuzzy reverse supply chain for end-of-life vehicles60 cited
2012Fuzzy Possibilistic Modeling for Closed Loop Recycling Collection Networks53 cited
2021AN OVERVIEW OF FUZZY TECHNIQUES IN SUPPLY CHAIN MANAGEMENT: BIBLIOMETRICS, METHODOLOGIES, APPLICATIONS AND FUTURE DIRECTIONS44 cited
2017Effects of demand forecast and resource sharing on collaborative new product development in supply chain41 cited
2013Supply chain dynamic configuration as a result of new product development41 cited
2013Optimising safety stock placement and lead time in an assembly supply chain using bi-objective MAX–MIN ant system39 cited