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Drug recall management and channel coordination under stochastic product defect severity: a game-Theoretic analytical study

机译:随机产品缺陷严重程度下的药物召回管理和渠道协调:游戏 - 理论分析研究

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This paper analytically explores drug recall programmes in the pharmaceutical industry by considering the product defect severity as a source of uncertainty. Under the Stackelberg game model, a pharma-manufacturer outsources the drug recall management and pays collecting fees to a third party logistics provider (3PL) for collecting the defective medications. On the other side, the 3PL provides incentives to customers to facilitate product recall. In this research, we first analytically show the negative effect of lack of coordination between the pharma-manufacturer and 3PL. Then, a new coordination model, namely collecting fee agreement is proposed under which the pharma-manufacturer aims to motivate the 3PL to collect more defective medications. This research also analytically explores the effect of orchestrating the collecting fees and incentives under stochastic product defect severity. Finally, a Nash-bargaining game model is proposed to share the profits between the pharma-manufacturer and 3PL under the collecting fee agreement. Both analytical and numerical results reveal that the collecting fee agreement not only increases the collection rate of defective items and protects the patients from unsafe products, but also simultaneously improves the performances of whole pharmaceutical supply chain and its members while reducing the governmental penalties imposed on the pharma-manufacturer.
机译:本文通过将产品缺陷严重程度视为不确定性来源,分析了制药行业中的药物召回计划。在Stackelberg游戏模型下,Pharma制造商提供药物召回管理,并为第三方物流提供者(3PL)支付收取费用,以收集缺陷的药物。另一方面,3PL为客户提供激励措施,以方便产品召回。在这项研究中,我们首先分析了Pharma制造商和3pl之间缺乏协调的负面影响。然后,提出了一个新的协调模型,即收取费用协议,该制剂制造商旨在激励3PL收集更多缺陷的药物。该研究还分析探讨了在随机产品缺陷严重程度下协调收集费和激励的效果。最后,提出了纳什议价游戏模型,在收费协议下分享Pharma制造商和3PL之间的利润。分析和数值结果表明,收集费协议不仅提高了缺陷物品的收集率,并保护患者免受不安全产品的患者,而且还同时提高整个制药供应链及其成员的表现,同时减少了对施加的政府处罚制造商。

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