Industry 4.0 Adoption Drivers for Sustainable Supply Chain in the Manufacturing Sector Using a Hybrid Decision-Making Approach Under q-Rung Orthopair Fuzzy Information
本文识别制造业可持续供应链中采纳工业4.0的关键驱动因素，提出一种基于q阶正交模糊集的混合决策方法，并通过案例研究验证其有效性。
In recent years, due to the fourth industrial revolution and digitized supply chains, firms have been required to adopt Industry 4.0 (I4.0) and Internet of Things (IoT) to use every opportunity to practice management processes with utmost sustainability. Therefore, emerging IoT technologies have considerably transformed manufacturing models. Consequently, manufacturing and its accompanying supply chains need to embrace state-of-the-art technologies to improve their outreach and achieve higher levels of productivity. A variety of benefits have been offered by I4.0 to the manufacturing sector and roles played by I4.0 to adopt and apply this technology to manufacturing and supply chain management (SCM). Accordingly, this research mainly aims to recognize the key drivers that encourage the adoption of I4.0 for sustainable SCM. This study introduced an integrated decision-making method for q-rung orthopair fuzzy sets (q-ROFSs) using the weighted aggregated sum product assessment and the criteria importance through intercriteria correlation (CRITIC) methods with q-ROFSs to prioritize the enterprises and evaluate the drivers of I4.0 in the context of sustainable SCM (SSCM). The q-ROF-CRITIC model is applied to assess and prioritize the drivers of I4.0 in the context of SSCM. The study of q-ROFS indicates that there is a need for a decision approach that can implement the available information in a systematic way for making lucid decisions. An empirical case study to evaluate the drivers of I4.0 in the context of SSCM in the manufacturing sector is taken. Also, comparative study and sensitivity analysis are discussed to illustrate the dominance of the developed method.