2022
DOI: 10.1108/tqm-07-2022-0229
|View full text |Cite
|
Sign up to set email alerts
|

Prioritizing the barriers of green smart manufacturing using AHP in implementing Industry 4.0: a case from Indian automotive industry

Abstract: PurposeManufacturing companies are increasingly using green smart production (GSM) as a tactic to boost productivity since it has a number of advantages over conventional manufacturing methods. It costs a lot of money and takes a lot of work to create an SMS since it combines a lot of different technologies, including automation, data exchanges, cyber-physical systems (CPS), artificial intelligence, the Internet of things (IoT) and semi-autonomous industrial systems. Green smart manufacturing (GSM) activities … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 12 publications
(4 citation statements)
references
References 71 publications
0
4
0
Order By: Relevance
“…Fauzdar et al (2022) carry out a MICMAC analysis of Industry 4.0 in the Indian automotive industry. The process of correlating the techniques of green smart manufacturing in the Indian automotive industry, analysing and prioritizing the barriers to the same; and examining how it can be used to implement Industry 4.0 using the AHP technique, has been done in the study by Agarwal et al (2022).…”
Section: Supply Chain Practicesmentioning
confidence: 99%
“…Fauzdar et al (2022) carry out a MICMAC analysis of Industry 4.0 in the Indian automotive industry. The process of correlating the techniques of green smart manufacturing in the Indian automotive industry, analysing and prioritizing the barriers to the same; and examining how it can be used to implement Industry 4.0 using the AHP technique, has been done in the study by Agarwal et al (2022).…”
Section: Supply Chain Practicesmentioning
confidence: 99%
“…In the supply chain environment, risks are qualitative and can be analysed using expert input. These experts' input is subjective and many times imprecise in nature which lowers the accuracy of the assessment (Shankar, Choudhary, & Jharkharia, 2018;Li & Yazdi, 2022a, b;Agarwal et al, 2022). The three major complications involved with the expert's input as the vagueness of the linguistic scale (Yazdi, 2022), inconsistent information (Gholamizadeh, Zarei, Omidvar & Yazdi, 2022) and uncertainty in the expert's opinion (Zhou, Shi, Deng, & Deng, 2017;Asim, Jalil, Javaid, & Muneeb, 2021;Hashmi, AqibJalil, & Javaid, 2022).…”
Section: Risk Assessment Model/frameworkmentioning
confidence: 99%
“…In the supply chain environment, risks are qualitative and can be analysed using expert input. These experts’ input is subjective and many times imprecise in nature which lowers the accuracy of the assessment (Shankar, Choudhary, & Jharkharia, 2018; Li & Yazdi, 2022a, b; Agarwal et al. , 2022).…”
Section: Background Of the Studymentioning
confidence: 99%
“…Various factors, such as the dimensions and category of the restoration, the configuration of the cavity, the location and state of the tooth within the oral cavity, and the proficiency of the dentist, among others, can impact the restoration process. This has been documented in literature [6]. Over the course of numerous years, a variety of dental restorative materials such as dental amalgam, glass ionomer concrete, compomers, porcelains, zinc oxide eugenics zinc chloride cement, and resin-based mixture have been utilised [7].…”
Section: Introductionmentioning
confidence: 97%