Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2020.1753090
Evaluating strategies for implementing industry 4.0: a hybrid expert oriented approach of BWM and interval valued intuitionistic fuzzy TODIM
Hannan Amoozad Mahdiraji
Edmundas Kazimieras Zavadskas
Marinko Skare
Fatemeh Zahra Rajabi Kafshgar
Alireza Arab
Sažetak
Developing and accepting industry 4.0 influences the industry structure
and customer willingness. To a successful transition to industry
4.0, implementation strategies should be selected with a systematic
and comprehensive view to responding to the changes flexibly. This
research aims to identify and prioritise the strategies for implementing
industry 4.0. For this purpose, at first, evaluation attributes of
strategies and also strategies to put industry 4.0 in practice are recognised.
Then, the attributes are weighted to the experts’ opinion
by using the Best Worst Method (BWM). Subsequently, the strategies
for implementing industry 4.0 in Fara-Sanat Company, as a
case study, have been ranked based on the Interval Valued
Intuitionistic Fuzzy (IVIF) of the TODIM method. The results indicated
that the attributes of ‘Technology’, ‘Quality’, and ‘Operation’ have
respectively the highest importance. Furthermore, the strategies for
“new business models development’, ‘Improving information systems’
and ‘Human resource management’ received a higher rank.
Eventually, some research and executive recommendations are provided.
Having strategies for implementing industry 4.0 is a very
important solution. Accordingly, multi-criteria decision-making
(MCDM) methods are a useful tool for adopting and selecting
appropriate strategies. In this research, a novel and hybrid combination
of BWM-TODIM is presented under IVIF information.
Ključne riječi
industry 4.0; Best Worst Method (BWM); Interval Valued Intuitionistic Fuzzy (IVIF); multi-criteria decision-making (MCDM); TODIM; information systems
Hrčak ID:
254482
URI
Datum izdavanja:
9.2.2021.
Posjeta: 865 *