Material management in decentralized supply chains
Operations Research
Information distortion in a supply chain: the bullwhip effect
Management Science - Special issue on frontier research in manufacturing and logistics
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
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This study proposed a method for coordinating the order-up-to level inventory decisions of isolated stations to cooperatively compensate loss in supply chain performance in a serial supply chain due to unreliable raw material supply. Doing so will improve the customer refill rate and lower the production cost within an uncertain environment in which the chain is highly decentralized, both material supply and customer demand are unreliable, and delay incurs in information flow and material flow. The proposed coordination method is then compared to single-station and multiple-station order-up-to policies. Simulated experiments reveal that our proposed method outperforms the others and performs robustly within a variety of demand and supply situations.