Computers and Operations Research
Strategic level three-stage production distribution planning with capacity expansion
Computers and Industrial Engineering
Computers and Industrial Engineering
Parameter mapping and data transformation for engineering application integration
Information Systems Frontiers
Expert Systems with Applications: An International Journal
A steady-state genetic algorithm for multi-product supply chain network design
Computers and Industrial Engineering
Research on Multi-time Period Production Plan of Supply Chain under Demands Uncertainty
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
A modified particle swarm optimization for production planningproblems in the TFT Array process
Expert Systems with Applications: An International Journal
MIC '08 Proceedings of the 27th IASTED International Conference on Modelling, Identification and Control
Application of fuzzy sets to manufacturing/distribution planning decisions in supply chains
Information Sciences: an International Journal
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Computers and Industrial Engineering
Model selection with considering the CO2 emission alone the global supply chain
Journal of Intelligent Manufacturing
A hierarchical optimization technique for the strategic design of distribution networks
Computers and Industrial Engineering
An integrated supply chain network design problem for bidirectional flows
Expert Systems with Applications: An International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper proposes supply network with a global bill of material (BOM). Design and planning problems of supply network in a single combined system were modeled and an experiment was performed on an example problem to confirm the viability of the new, proposed system. The new supply network management system consists of four modules: supply network design optimization module, planning module for production and distribution operations from raw material suppliers to customers, model management module and data management module. The first two modules are solved by a Lagrangian heuristic and a genetic algorithm, respectively. The model and data management modules relieve managers from the difficult task of handling the details of data and mathematical models. Experimental results support our view that the design and planning of supply network problems with a global BOM could be optimized if we adopt appropriate strategies and algorithms.