对偶(语法数字)
采购
可靠性(半导体)
供应链
业务
绩效改进
产量(工程)
产业组织
风险分析(工程)
计算机科学
运营管理
营销
经济
艺术
功率(物理)
冶金
材料科学
文学类
物理
量子力学
作者
Yimin Wang,Wendell Gilland,Brian Tomlin
标识
DOI:10.1287/msom.1090.0279
摘要
Surveys suggest that supply chain risk is a growing issue for executives and that supplier reliability is of particular concern. A common mitigation strategy is for the buying firm to expend effort improving the reliability of its supply base. We explore a model in which a firm can source from multiple suppliers and/or exert effort to improve supplier reliability. For both random capacity and random yield types of supply uncertainty, we propose a model of process improvement in which improvement efforts (if successful) increase supplier reliability in the sense that the delivered quantity (for any given order quantity) is stochastically larger after improvement. We characterize the optimal procurement quantities and improvement efforts and generate managerial insights. For random capacity, improvement is increasingly favored over dual sourcing as the supplier cost heterogeneity increases, but dual sourcing is favored over improvement if the supplier reliability heterogeneity is high. In the random yield model, increasing cost heterogeneity can reduce the attractiveness of improvement, and improvement can be favored over dual sourcing if the reliability heterogeneity is high. A combined strategy (improvement and dual sourcing) can provide significant value if suppliers are very unreliable and/or capacity is low relative to demand.
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