Contract Manufacturing and Quality Risk: Theory and Empirical Evidence

John V. Gray, A. Roth, Brian Tomlin
{"title":"Contract Manufacturing and Quality Risk: Theory and Empirical Evidence","authors":"John V. Gray, A. Roth, Brian Tomlin","doi":"10.2139/ssrn.2815520","DOIUrl":null,"url":null,"abstract":"This paper investigates the relationship between contract manufacturing and quality risk — a term defined as the propensity of a manufacturing plant to operate out of compliance with required procedures. Contract manufacturing plants (hereafter, CM) are increasingly being used in many industrial sectors. While CMs have been anecdotally blamed for many recalls and other outgoing product quality failures, there is a neither a strong coherent theory in operations and supply chain management nor empirical evidence that considers whether and when CMs pose a differential quality risk in contrast to internal plants (IPs). By definition, CMs produce products to another firm’s specifications, whereas IPs make products to their own firm’s specifications. This basic difference between CMs and IPs potentially leads to systemic dissimilarities in their operational contexts. Drawing upon these contextual dissimilarities, we posit that, on average, CMs will operate with higher quality risk than IPs. Subsequently, we develop contingencies related to key factors that moderate the relationship between plant type (CM vs. IP) and quality risk. We test our hypotheses using a plant-level measure of process compliance based on Food and Drug Administration (FDA) inspection data on a sample of 152 plants classified as drug manufacturers by the FDA. In addition to finding moderate evidence of a first-order difference, we do find evidence that production experience and the intensity of external regulation serve as important contingencies regarding quality risk. We find strong evidence that among plants with low production experience, CMs operate with higher quality risk than IPs, but this difference is mitigated as CMs gain production experience. We also find that increased regulatory intensity seems to influence CMs to reduce quality risk more than it does IPs.","PeriodicalId":82888,"journal":{"name":"Technology (Elmsford, N.Y.)","volume":"100 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2016-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Technology (Elmsford, N.Y.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2815520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

This paper investigates the relationship between contract manufacturing and quality risk — a term defined as the propensity of a manufacturing plant to operate out of compliance with required procedures. Contract manufacturing plants (hereafter, CM) are increasingly being used in many industrial sectors. While CMs have been anecdotally blamed for many recalls and other outgoing product quality failures, there is a neither a strong coherent theory in operations and supply chain management nor empirical evidence that considers whether and when CMs pose a differential quality risk in contrast to internal plants (IPs). By definition, CMs produce products to another firm’s specifications, whereas IPs make products to their own firm’s specifications. This basic difference between CMs and IPs potentially leads to systemic dissimilarities in their operational contexts. Drawing upon these contextual dissimilarities, we posit that, on average, CMs will operate with higher quality risk than IPs. Subsequently, we develop contingencies related to key factors that moderate the relationship between plant type (CM vs. IP) and quality risk. We test our hypotheses using a plant-level measure of process compliance based on Food and Drug Administration (FDA) inspection data on a sample of 152 plants classified as drug manufacturers by the FDA. In addition to finding moderate evidence of a first-order difference, we do find evidence that production experience and the intensity of external regulation serve as important contingencies regarding quality risk. We find strong evidence that among plants with low production experience, CMs operate with higher quality risk than IPs, but this difference is mitigated as CMs gain production experience. We also find that increased regulatory intensity seems to influence CMs to reduce quality risk more than it does IPs.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
合同制造与质量风险:理论与实证
本文研究了合同制造和质量风险之间的关系,质量风险是指制造工厂不遵守规定程序的倾向。合同制造工厂(以下简称CM)越来越多地应用于许多工业部门。虽然CMs因许多召回和其他外向产品质量失败而受到指责,但在运营和供应链管理方面既没有强有力的连贯理论,也没有经验证据来考虑CMs是否以及何时与内部工厂(ip)相比构成不同的质量风险。根据定义,CMs按照另一家公司的规格生产产品,而ip则按照自己公司的规格生产产品。CMs和ip之间的这种基本差异可能导致其操作环境的系统性差异。根据这些背景差异,我们假设,平均而言,CMs将比ip面临更高的质量风险。随后,我们开发了与调节植物类型(CM vs. IP)和质量风险之间关系的关键因素相关的突发事件。我们使用基于食品和药物管理局(FDA)对152家被FDA归类为药品制造商的工厂样本的检查数据的工厂级工艺合规性测量来检验我们的假设。除了发现一阶差异的适度证据外,我们还发现生产经验和外部监管强度是质量风险的重要偶然因素。我们发现强有力的证据表明,在生产经验较低的植物中,CMs的质量风险高于IPs,但随着CMs获得生产经验,这种差异会减轻。我们还发现,监管力度的增加似乎比ip更能影响CMs降低质量风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
From Noise to Bias: Overconfidence in New Product Forecasting Improving the accuracy of project schedules Designing Freemium with Usage Limitation: When Is It a Viable Strategy? Sales Policies for a Virtual Assistant Online Business and Marketplaces
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1