The resilience of on-time delivery to capacity and material shortages: An empirical investigation in the automotive supply chain. (September 2022)

• Record Type: Journal Article
• Authors: Carvalho, Helena; Naghshineh, Bardia; Govindan, Kannan; Cruz-Machado, Virgílio
• Is Part Of: Computers & industrial engineering. Volume 171(2022)
• Publication Date: 2022-09
• Subjects: Supply chain disturbances -- Failure modes -- On-time delivery -- Supply chain capabilities -- Resilience practices -- Supply chain state variables -- Resilience index; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2022.108375
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: A resilience framework is proposed by drawing on case study and extant literature. An index that measures the resilience of on-time delivery to failure modes is modelled. The use of the proposed resilience index is illustrated in a case study. Related resilience practices and supply chain capabilities are identified. Supply chain state variables that represent resilience practices are identified. Abstract: Supply chains around the globe are susceptible to disturbances that negatively impact their performance. Generally, supply chain disturbances lead to failure modes that impact the ability of the supply chain to deliver the promised goods and services on time. Therefore, companies operating in different supply chains are willing to become resilient to disturbances and their ensuing failure modes to be able to deliver on time and remain competitive. In light of this willingness, this study aims to propose an index that enables companies to assess their resilience of on-time delivery to supply chain failure modes based on the resilience practices they deploy. To this end, drawing on the knowledge derived from case study data analysis and literature, eight propositions and an explanatory framework are put forward that theorize the identified relationships between supply chain disturbances, failure modes, resilience practices, and on-time delivery as the primary indicator for measuring supply chain performance. Next, considering the resilience practices companies tend to deploy, an index capable of assessing the companies' resilience of on-time delivery to two prevalent supply chain failure modes, namely capacity shortage and material shortage is modelled and tested using a case study in an upstream automotive supply chain in Portugal. The results indicate high resilience levels of on-time delivery to the aforementioned failure modes, mainly due to the high cost of production halt in the automotive industry. Additionally, a set of supply chain capabilities and their related resilience practices and supply chain state variables are identified that can be deployed and controlled to improve supply chain resilience.