A two-tier supply chain model under two distributions with MTTF, rework, variable production rate and lead time

Karthick, B.; Uthayakumar, R.

doi:10.1080/23270012.2022.2051153

Cited by 2 publications

(1 citation statement)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[15][16][17][18]. Some scholars have also classified lead times and viewed them as decision variables in order to analyze the impact of the distributional state of lead times on cost optimization and order quality on turnaround times [19,20]. Planning for lead times depends on the stochastic variability of the activity's resource requirements, as well as the flexibility and utilization of the resources associated with the activity [21].…”

Section: Lead Timementioning

confidence: 99%

Research on Supply Chain Coordination Decision Making under the Influence of Lead Time Based on System Dynamics

Zhang,

Wang,

Zhang

2024

Systems

View full text Add to dashboard Cite

Supply chain coordination has been a research hot spot in supply chain management. This paper constructs a secondary supply chain system. Taking the abatement of the bullwhip effect and the double marginal effect as the coordination objective, a simulation study of supply chain decision coordination was conducted using system dynamics. First, by controlling the lead time, it was found that in the decentralized decision-making model, the profit of the supplier and the whole supply chain increases with the shortening of the lead time, and vice versa for the retailer. In the centralized decision-making model with the addition of information sharing and contract, it was found that the retailer’s profit is consistent with the trend of the supplier and the supply chain as a whole, and the supplier’s profit is lower than that of decentralized decision making in the pre-cooperation period. In addition, it is also found that adjusting the contract parameters can effectively improve the situation. Finally, the above models were analyzed for supply chain coordination decisions based on two scenarios: “cooperative stability” or “balance of effects”.

show abstract