Purpose

Industry 4.0 (I4.0) technologies are pivotal in enhancing supply chain resilience (SCRES). The extant literature identifies multiple antecedents of SCRES. However, the holistic impact of I4.0 technologies on all the antecedents of SCRES has not been rigorously studied. Practising managers have a limited understanding of the interrelationship of these technologies and their impact on each SCRES antecedent and its subfactors. This highlights the need for a comprehensive technology roadmap that integrates I4.0 technologies with SCRES antecedents and subfactors, benefiting both the pre- and post-disruption phases.

Design/methodology/approach

Interpretive structural modelling is used to develop the hierarchical structure of technologies based on their interrelationship. ANP-SVNTOPSIS (Analytic Network Process – Single Valued Neutrosophic Technique for Order of Preference by Similarity to Ideal Solution) approach to quantify technology impact factors (TIFs) value of each technology corresponding to each antecedent of SCRES is applied.

Findings

The result reveals that data-driven technologies and additive manufacturing have the highest impact on SCRES. The detailed analysis of the TIF values identifies high-impacting technologies for each SCRES antecedent and subfactor. The results are used to propose a technology roadmap integrating I4.0 technologies with SCRES antecedents for pre- and post-disruption phases.

Originality/value

The positive impact of I4.0 technologies on SCRES is well established. However, many companies face challenges in their I4.0 implementation projects despite the manifold advantages. To the best of our knowledge, no previous research has conducted such a rigorous analysis at the individual technology level and SCRES antecedents to quantify the multifaceted dimensions of SCRES. The present study addresses this gap. Furthermore, it proposes a technology roadmap which incorporates pre- and post-disruption phases, which is its uniqueness.

中文翻译：

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弹性供应链：通过中断前和中断后的技术路线图推进技术集成

 目的

工业 4.0 （I4.0） 技术对于增强供应链弹性 （SCRES） 至关重要。现存文献确定了 SCRES 的多个前因。然而，I4.0 技术对 SCRES 所有前因的整体影响尚未得到严格研究。执业经理对这些技术的相互关系及其对每个 SCRES 前因及其子因素的影响了解有限。这凸显了对综合技术路线图的需求，该路线图将 I4.0 技术与 SCRES 前因和子因素相结合，使中断前和中断后阶段都受益。

设计/方法/方法

解释性结构建模用于根据技术的相互关系开发技术的层次结构。ANP-SVNTOPSIS（分析网络过程 - 通过与理想解决方案相似性排序的单值中性技术）方法来量化对应于 SCRES 的每个前因的每种技术的技术影响因子 （TIF） 值。

 发现

结果表明，数据驱动技术和增材制造对 SCRES 的影响最大。对 TIF 值的详细分析确定了每个 SCRES 前因和子因素的高影响技术。结果用于提出一个技术路线图，将 I4.0 技术与 SCRES 前提因素相结合，用于中断前和中断后阶段。

 原创性/价值

I4.0 技术对 SCRES 的积极影响是公认的。然而，尽管具有多种优势，但许多公司在其 I4.0 实施项目中仍面临挑战。据我们所知，以前的研究从未在单个技术级别和 SCRES 前身进行过如此严格的分析，以量化 SCRES 的多方面维度。本研究解决了这一差距。此外，它还提出了一个技术路线图，其中包括中断前和中断后阶段，这就是它的独特性。