Analysis and evaluation of Indian industrial system requirements and barriers affect during implementation of Industry 4.0 technologies

Abinash Jena,Saroj Kumar Patel

doi:10.1007/s00170-022-08821-0

Abstract

In recent years, competition among the Indian manufacturing industries (IMI) has increased enormously in the global market. The current uncertainty in the market context is characterised and governed by the customised requirements of the customers. Thus, the manufacturing system in the industries should be capable of adapting the parameters like flexibility in scalability, variety, agility, system responsiveness, inter-connectivity, automatic data exchange with communication among the manufacturing systems, transparency and human–machine interaction, which are the main components and principles of Industry 4.0 (I4.0). Thus, adopting I4.0 plays a vital role to corroborate its long-term survival in the global marketplace. However, very few research work considerations contribute towards the issues induced during the adoption of I4.0 in manufacturing industries. This paper aims to minimise the gap between the existing Industrial System Requirements (ISRs) and the challenges faced during implementing I4.0 technologies in existing Industries. The identified ISRs and barriers were evaluated and analysed based on the data set collected from a questionnaire-based survey. Fuzzy multi-criteria analysis is conducted to identify the most weighted ISRs and barriers and ranked them concerning their importance. Furthermore, the inter-item correlation between both of them is analysed. This research work offers the researchers, practitioners, and industrialists an opportunity to formulate multi-criteria decision making (MCDM) problems through numerous case studies and prioritise the top barriers, system requirements and the inter-relationship shared between them.

Highlights

Today the survival of a manufacturing industry depends on its flexibility, agility, quick responsiveness to fluctuating market demand, scalability, variability, mass customisation as per the preference of the customer, excellent quality and post-sale service (Hu et al, 2008; Lotter & Wiendahl, 2008; Wang & Koren, 2012; Pattanaik & Jena, 2019)
This paper points out the relevant areas and narrows them down by minimising the gap between existing Industrial System Requirements (ISR) and the barriers affecting implementation and prioritising the importance of the research to implement I4.0 technologies
The necessity analysis such as the KMO, Bartlett's test of Sphericity and Descriptive statistics analysis was conducted to check the legitimateness of the identified barriers and ISR data set

Summary

Introduction

Today the survival of a manufacturing industry depends on its flexibility, agility, quick responsiveness to fluctuating market demand, scalability, variability, mass customisation as per the preference of the customer, excellent quality and post-sale service (Hu et al, 2008; Lotter & Wiendahl, 2008; Wang & Koren, 2012; Pattanaik & Jena, 2019). These factors are driven by data sharing and monitoring, data transparency and connectivity among the manufacturing systems without any barriers (Salam, 2019). The I4.0 technologies are still in the research and development phase, mostly confined to the implementation phase, as specific unavoidable driving barriers affect during adoption in the current manufacturing industries (Frank et al, 2018; Kamble et al, 2018; Luthra & Mangla, 2018; Sanders et al, 2016)

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