Reconfiguring Supply Chains for a Global Automotive Industry

Hiraoka, Leslie S.

doi:10.4018/jisscm.2011100101

Cited by 1 publication

(1 citation statement)

References 12 publications

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“…In a study, (Thun et al , 2011) use big data (BD) to analyze supply chain risk management in small and medium-sized enterprises (SMEs). Finally, (Hiraoka, 2011) emphasizes the importance of high-tech technology in rebuilding supply chains to be global cost-competitive.…”

Section: Analysis and Synthesismentioning

confidence: 99%

Lean supply chain management and Industry 4.0 interrelationships: the status quo and future perspectives

Jaouhari

Arif

Fellaki

et al. 2022

IJLSS

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Purpose This study aims to address Industry 4.0 (I4.0) technologies that can improve the research and implementation of lean supply chain management (LSCM) and the enhanced LSCM subfields in I4.0 technologies. Design/methodology/approach The authors conducted a systematic literature review to detect, categorize and assess recent data, highlighting patterns and providing suggestions for potential research in this field, to investigate I4.0 literature and its effect on LSCM. The authors examined 79 published types of research from the Scopus database that were published between 2010 and 2021 and classified them into four LSCM fields: logistics, production, supply chain and marketing. Findings The authors can emphasize the fact that the literature on this topic is in progress, from early German academic research to the current creation of new effects around the world. The majority of the potential effects investigated were discovered to improve specific areas that ultimately enhance the practices of the four LSCM domains as well as performance outcomes. The authors were also able to assess the extent to which present and upcoming I4.0 technologies can improve LSCM research and implementation. Originality/value To the best of the authors’ knowledge, this is the first study of its kind. Although some research looked into various areas of I4.0 and LSCM topics, there has been no research specifically looking into the impact of I4.0 on LSCM. The originality of this study lies in the treatment of the main fields and sub-fields of LSCM, which can benefit from the technologies of I4.0. Academic scholars interested in the research topics may benefit from the findings of this study. Organizations in various industrial sectors, particularly manufacturing, where lean thinking is used, business professionals specialized in lean operations and supply chain management, along with anyone else who wants to learn more about the interrelationships between I4.0 and LSCM.

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Section: Analysis and Synthesismentioning

confidence: 99%