质量(理念)
投资(军事)
质量成本
激励
保理
业务
供应链
微观经济学
博弈论
经济
降低成本
信号游戏
产业组织
随机博弈
约束(计算机辅助设计)
斯塔克伯格竞赛
风险分析(工程)
质量管理
投资决策
收入
水准点(测量)
计算机科学
还原(数学)
不完美的
贝叶斯概率
频道(广播)
反向感应
供应链管理
信息不对称
贝叶斯博弈
作业成本法
精算学
分布(数学)
作者
D. N. Bose,Sumit Sarkar
出处
期刊:Decision Analysis
[Institute for Operations Research and the Management Sciences]
日期:2026-05-18
标识
DOI:10.1287/deca.2025.0470
摘要
Identifying a supplier’s capability in delivering high-quality consignments is critical for a manufacturer who might incur a noncontractable hidden cost of poor quality if the selected supplier is of low-capability type. A supplier’s investment in quality improvement through defect reduction can be a useful signal. However, the manufacturer is misled by the signal if the effect of preventive investment in reducing the cost of quality (COQ) is ignored. We analyze a signaling game between a manufacturer and a supplier, factoring in the decrease in COQ through a reduction in appraisal and failure costs resulting from investment in quality improvement. If the manufacturer is a payoff maximizer, then a high-capability supplier lacks incentive to signal type. However, surplus sharing, induced by the manufacturer’s inequity aversion, incentivizes the high-capability supplier to signal type through investment in defect prevention. Separating perfect Bayesian equilibrium (PBE) exists if the capability gap between types of suppliers, or the noncontractable hidden cost to the manufacturer, is not too small. The likelihood of separating PBE increases with an increase in the capability gap and the supplier’s equitable share of the surplus. Our analysis helps manufacturers avoid the hidden cost of poor quality by identifying a high-capability-type supplier correctly, factoring in the effects of investment in the supplier’s appraisal and failure costs. Finally, our numerical simulation provides operational guidelines to the manufacturer for designing an effective signaling game, while ensuring an equitable distribution of supply chain surplus. Supplemental Material: The online appendix is available at https://doi.org/10.1287/deca.2025.0470 .
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