Experience using the IBM supply chain simulator
Proceedings of the 30th conference on Winter simulation
Genetic Algorithms and Manufacturing Systems Design
Genetic Algorithms and Manufacturing Systems Design
Sourcing By Design: Product Complexity and the Supply Chain
Management Science
Process Flexibility in Supply Chains
Management Science
Supply chain integration in vendor-managed inventory
Decision Support Systems
Accessing information sharing and information quality in supply chain management
Decision Support Systems
Optimizing the Supply Chain Configuration for New Products
Management Science
Quality Implications of Warranties in a Supply Chain
Management Science
Note on supply chain integration in vendor-managed inventory
Decision Support Systems
A decision support system for managing inventory at GlaxoSmithKline
Decision Support Systems
Strategic Inventory Placement in Supply Chains: Nonstationary Demand
Manufacturing & Service Operations Management
Comparative study of adaptability and flexibility in distributed manufacturing supply chains
Decision Support Systems
Revisiting the note on supply chain integration in vendor-managed inventory
Decision Support Systems
A graph rewriting system for process platform planning
Decision Support Systems
A model of resilient supply chain network design: A two-stage programming with fuzzy shortest path
Expert Systems with Applications: An International Journal
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A supply chain needs to meet its customers' requirements (CRs) in terms of delivery lead times, total costs and product quality. The objective of this article is to improve the level of integration in all aspects of supply chain reconfiguration, such as the inventory allocation and manufacturing process involved, by incorporating manufacturing and product design into logistic design. The effect of uncertain customer demand, production and supply lead times are studied. An optimum supply chain network is configured by combining optimization at the strategic and tactical level. A system dynamic based computer simulation model is used to validate the operations of the supply chain. The performance of the system is measured in terms of backorders and inventory level. The results and analysis indicate that fewer stockholding points and a shorter review period of demand can improve performance in this respect. In addition, a proposal for improving the performance of supply chain in terms of lower safety stocks is presented. Finally, management decision-making is discussed, among other concluding remarks.