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首页> 外文期刊>International Journal of Production Research >Impact of quality regulation policy on performance of a remanufacturing supply chain with non-waste returns
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Impact of quality regulation policy on performance of a remanufacturing supply chain with non-waste returns

机译：质量监管政策对具有无废品回报的再制造供应链绩效的影响

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Quality issues in a remanufacturing supply chain with non-waste returns have been reported many times. To address these issues, the government proposes different quality regulation policies. This paper develops a multi-agent simulation model to study how the quality regulation policy affects the performance of a remanufacturing supply chain with non-waste returns. Here, the main performance includes profit and hazard ratio of products. Our results indicate that self-regulation of the market cannot realize a desirable outcome (low hazard ratio and high manufacturer's profit). Adjusting quality regulation probability is more efficient than adjusting the penalty for inferior products. From the view of increasing manufacturer's average profit, or improving the government's efficiency, the best policy is the solely adjusting supervision probability policy. From the view of reducing hazard ratio, the best policy is adjusting supervision probability-penalty policy. The appropriate penalty for inferior products can realize the desirable outcome. With an increasing supervision probability, the hazard ratio decreases, and the manufacturer's average profit increases because the remanufacturing cost and penalty for inferior products decrease.
机译：具有无废品退货的再制造供应链中的质量问题已有很多报道。为了解决这些问题，政府提出了不同的质量监管政策。本文开发了一种多主体仿真模型，以研究质量监管政策如何影响具有无浪费回报的再制造供应链的绩效。在这里，主要表现包括产品的获利和危害比率。我们的结果表明，市场的自我调节无法实现理想的结果（低风险比和高制造商利润）。调整质量调节概率比调整劣质产品的罚款更为有效。从增加制造商的平均利润或提高政府效率的角度来看，最好的策略是单独调整监管概率策略。从降低危险比的角度来看，最好的策略是调整监管概率-惩罚性政策。对次品的适当处罚可以实现理想的结果。随着监督概率的增加，危险系数降低，制造商的平均利润也增加，因为再制造成本和劣质产品的罚款减少了。

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