The value of simulation in modeling supply chains
Proceedings of the 30th conference on Winter simulation
An updated survey of GA-based multiobjective optimization techniques
ACM Computing Surveys (CSUR)
Using simulation to analyze supply chains
Proceedings of the 32nd conference on Winter simulation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization
Proceedings of the 5th International Conference on Genetic Algorithms
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Modeling and analysis of a generic cross-docking facility
WSC '05 Proceedings of the 37th conference on Winter simulation
Supply chain simulation modeling made easy: an innovative approach
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
DE2M: An environment for developing distributed and executable enterprise models
Advances in Engineering Software
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Nowadays, in a hotly competitive environment, companies are continuously trying to provide products and/or services to customers faster, cheaper, and better than the competitors do. Managers have learned that they cannot do it alone; rather, they must work on a cooperative basis with other organizations in order to succeed. Although the resulting enterprise networks are more competitive, the tasks for planning, management and optimization are much more difficult and complex. In this paper, we present a newly developed toolbox "ONE" to support decision makers for the assessment, design and improvement of such supply chain networks. The toolbox comprises innovative and user-friendly concepts related to the modeling, simulation and optimization of enterprise networks by additionally taking into account social and environmental impacts as well as uncertainty and risk that are always inherent within modern enterprise networks.