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

被引:17
作者
Agarwal, Sucheta [1 ]
Saxena, Kuldeep Kumar [2 ]
Agrawal, Vivek [2 ]
Dixit, Jitendra Kumar [2 ]
Prakash, Chander [3 ]
Buddhi, Dharam [4 ]
Mohammed, Kahtan A. [5 ]
机构
[1] GLA Univ, Dept Mech Engn, Mathura, India
[2] GLA Univ, Mathura, India
[3] Lovely Profess Univ, Sch Mech Engn, Phagwara, India
[4] Uttaranchal Univ, Ottawa, ON, Canada
[5] Halla Univ, Babylon, Iraq
关键词
Industry; 4; 0; Smart manufacturing; Green; AHP; Automotive industry; ANALYTIC HIERARCHY PROCESS; SUPPLY CHAIN MANAGEMENT; CYBER-PHYSICAL SYSTEMS; TECHNOLOGIES; PERFORMANCE; AUTOMATION; ENERGY;
D O I
10.1108/TQM-07-2022-0229
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose Manufacturing 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 provide the foundation for creating ecologically friendly and green products. However, there are a number of other significant barriers obstacles to GSM deployment. As a result, removing this identification of these hurdles in a systematic manner should be a top focus of this study. Design/methodology/approach This article seeks to identify and prioritize the nine barriers based on research and expert viewpoints on GSM challenges. The analytical hierarchy process (AHP) is used to prioritize the barriers. Findings The result depicts that, financial constraints is the most important barrier that followed by scarcity of dedicated suppliers, concern to data security lack of understanding of the surroundings, inadequate top management commitment, proper handling of data interfaces lack of support by government, employees' lack of training, concern to data security lack of environment knowledge, fear of change/resistance and constraints of technology. Research limitations/implications The current research will help the manufacturing industry in Industry 4.0 to identify potential barriers to GSM implementation. Originality/value Green manufacturing (GM) entails the implementation of renewable production methods and eco-friendly procedures in manufacturing businesses. This study helps manufacturers come up with recycling and creative products, and manufacturers can give back to the environment by protecting natural areas by getting rid of the obstacles that get in the way.
引用
收藏
页码:71 / 89
页数:19
相关论文
共 77 条
[31]   Analysis of the driving and dependence power of barriers to adopt industry 4.0 in Indian manufacturing industry [J].
Kamble, Sachin S. ;
Gunasekaran, Angappa ;
Sharma, Rohit .
COMPUTERS IN INDUSTRY, 2018, 101 :107-119
[32]  
Kaswan Mahender Singh, 2021, International Journal of Advanced Operations Management, V13, P129, DOI 10.1504/IJAOM.2021.116132
[33]   Investigation of life cycle assessment barriers for sustainable development in manufacturing using grey relational analysis and best worst method [J].
Kaswan, Mahender Singh ;
Rathi, Rajeev .
INTERNATIONAL JOURNAL OF SUSTAINABLE ENGINEERING, 2021, 14 (04) :672-685
[34]   A DEMATEL based approach for investigating barriers in green supply chain management in Canadian manufacturing firms [J].
Kaur, Jasneet ;
Sidhu, Ramneet ;
Awasthi, Anjali ;
Chauhan, Satyaveer ;
Goyal, Suresh .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2018, 56 (1-2) :312-332
[35]  
Kiel D, 2017, INT J INNOV MANAG, V21, DOI 10.1142/S1363919617400151
[36]   Dynamic vendor selection based on fuzzy AHP [J].
Koul, Saroj ;
Verma, Rakesh .
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2011, 22 (08) :963-971
[37]   Barriers in green lean six sigma product development process: an ISM approach [J].
Kumar, Sanjay ;
Luthra, Sunil ;
Govindan, Kannan ;
Kumar, Naveen ;
Haleem, Abid .
PRODUCTION PLANNING & CONTROL, 2016, 27 (7-8) :604-620
[38]   Narrowing the barriers to Industry 4.0 practices through PCA-Fuzzy AHP-K means [J].
Kumar, Shailendra ;
Suhaib, Mohd. ;
Asjad, Mohammad .
JOURNAL OF ADVANCES IN MANAGEMENT RESEARCH, 2021, 18 (02) :200-226
[39]   A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems [J].
Lee, Jay ;
Bagheri, Behrad ;
Kao, Hung-An .
Manufacturing Letters, 2015, 3 :18-23
[40]   Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges [J].
Leitao, Paulo ;
Colombo, Armando Walter ;
Karnouskos, Stamatis .
COMPUTERS IN INDUSTRY, 2016, 81 :11-25