Optimization in the stable region of demand information sharing supply chain systems
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摘要: 考虑由分销商和制造商构成的需求信息共享的二级供应链系统,通过考察系统参数对系统稳定性的影响,确定系统的稳定域;建立系统的3个稳定性指标,利用最优化理论及多目标优化算法NSGA-Ⅱ在系统稳定域内搜索实现系统最优状态的参数组合,这些最优解能使系统的3个稳定性指标达到Pareto最优,即不可能改善某一个稳定性指标,而不使其他指标受损.通过仿真实验确定系统在不同提前期参数取值情况下的最优稳定性指标值和相应的参数组合,研究在稳定域内系统参数对系统最优状态下3个系统指标的影响.根据研究结果提出了旨在提高供应链运行稳定性及稳定状态下寻找最优系统状态的管理学建议.Abstract: A DIS-APIOBPCS (demand information sharing-automatic pipeline inventory and order based production control system) model was established to confirm the system-s stability indexes. Based on the impact of system parameter on the system stability, the system stable region was confirmed. Three stability indexes were established which were ITAE (integral of time absolute error), ORATE (order rate) maximum deviation and Wn (noise bandwidth). According to optimization theory, a group of optimal solution was searched out through multi-object algorithm NASA-Ⅱ in the stable region of the system which makes the stability indexes Pareto optimal which means that one individual index could not make better off without making any other individual index worse off. The optimal stability indexes and the corresponding system parameters can be obtained in different parameters of lead time in the stable condition. Valuable insights into the importance of the stable operation of the system and the influence of the system parameters on the system-s performances in the system stable region were obtained, and then relative managerial strategies were proposed.
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Key words:
- supply chain /
- stability region /
- optimization /
- Pareto optimal
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