Abstract

The Covid-19 pandemic and other recent disruptions in the early 2020s led to sections in the business press blaming Just-in-Time (JIT) practices for operational failings. Consequently, there are calls for moving away from JIT toward holding more inventory as preparation against future disruptions, which is referred to as just-in-case, given companies’ painful experiences with supply shortages. However, the academic community is also divided. Some scholars argue that JIT is not resilient, while others maintain that JIT can continue providing superior performance even with disruptions. Motivated by this debate, we discuss various misconceptions about JIT that underlie this debate. Furthermore, we present different ways to adapt JIT for turbulent environments and argue that companies can improve their supply chain performance if JIT supply chain segments are chosen fittingly—even more so—during disruptions.

Publication Type:	Article
Additional Information:	This is the peer reviewed version of the following article: Choi, T., Netland, T. H., Sanders, N. , Sodhi, M. & Wagner, S. (2023). Just-in-Time for Supply Chains in Turbulent Times. Production and Operations Management, which is to be published in final form at https://onlinelibrary.wiley.com/journal/19375956. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
Publisher Keywords:	Just-in-time, JIT, supply chain resilience, disruptions, inventory
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Departments:	Bayes Business School > Management

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