Plant Operations and Product Recalls in the Automotive Industry: An Empirical Investigation

汽车工业 多样性(控制论) 产品(数学) 工厂(面向对象编程) 运营管理 样品(材料) 生产(经济) 业务 运筹学 运输工程 计算机科学 营销 工程类 经济 数学 色谱法 宏观经济学 航空航天工程 人工智能 化学 程序设计语言 几何学
作者
Rachna Shah,George P. Ball,Serguei Netessine
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:63 (8): 2439-2459 被引量:114
标识
DOI:10.1287/mnsc.2016.2456
摘要

While there is overwhelming support for the negative consequences of product recalls, empirical evidence of operational drivers of recalls is almost nonexistent. In this study, we identify product variety (measured as the number of factory installed options), plant variety (measured as the number of models per assembly line in a plant), and capacity utilization as drivers of subsequent manufacturing-related recalls. We examine their individual and joint effects using a unique data set compiled for a seven-year period by linking assembly line production data for North American automotive manufacturers with recall data from the National Highway Traffic and Safety Administration. We show that manufacturing-related recalls are positively associated with product variety and plant utilization, but not with plant variety. We also find that the joint effect of plant variety and utilization is positively associated with increased recalls. In quantitative terms, a one-standard-deviation increase in the number of options (four additional options) is associated with two additional recalls and costs $46.2 million to automakers over the sample duration. We observe similar results with plant utilization, and find that a car built in a plant that is being utilized above 100% capacity is associated with more than eight additional recalls corresponding to an incremental cost of $167 million. This paper was accepted by Yossi Aviv, operations management.
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