A systematic analysis of digital supply chain, big data and manufacturing lean time in industrial companies

Abstract

Purpose

This paper aims to systematically review the literature on digital supply chain (DSC), big data (BD) and manufacturing lead time (MLT) in industrial companies.

Design/methodology/approach

This study provides a systematic review of the 99 research on this subject that was published between 2015 and 2022. Studies were found in the Scopus database. This review also identifies gaps in the literature, highlights conflicting results, examines prospective data sources for empirical researchers and offers suggestions for choosing promising research subjects in the future.

Findings

This study performed a thorough literature review to a developing field of inquiry in order to identify the impact of the digital supply chain, BD and manufacturing lean time, an area that has received little attention in the literature. Future pathways and ramifications are also offered based on the literature content search. The results showed that BD improves DSC performance through resilience and innovation of the DSC. MLT and DSC integration were found to be positively correlated, according to the results.

Originality/value

Although the production lead time is preferable to boost customer value and supply reliability, the long lead time hurts the DSC’s ability to compete. DSC integration also improves coordination and streamlines processes. The researchers suggest fostering organizational flexibility, information exchange to accomplish DSC integration and adaptable behaviors including responsiveness and alertness.

Citation

Omoush, M., Al-frejat, A.S. and Masa'deh, R. (2024), "A systematic analysis of digital supply chain, big data and manufacturing lean time in industrial companies", Business Process Management Journal, Vol. 30 No. 5, pp. 1696-1715. https://doi.org/10.1108/BPMJ-06-2023-0418