Abstract
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.
Highlights
Developments in information and communication technology leads us to form new facts in many fields such as manufacturing, resulting in a new concept as the 4th industrial revolution
Industry 4.0 requires the most developed level of information and communication. This does not mean to achieve mere automation like machine tools, robot, Assembly lines, computer aided design (CAD)/computer aided manufacturing (CAM)/computer aided engineering (CAE) systems, enterprise resource planning (ERP) system, and supply chain management (SCM) system; it means to achieve a high level of mental tasks such as understanding, predicting and adaption
That is why industry 4.0 requires cyber-physical systems (CPS), Internet of Things (IoT), Internet of Content and Knowledge (IoCK), Cloud Computing and analysing big data that act according to the digital concepts together (Ullah, 2019)
Summary
Developments in information and communication technology leads us to form new facts in many fields such as manufacturing, resulting in a new concept as the 4th industrial revolution (intelligent manufacturing and continuous manufactory). Countries that implement the Industry 4.0 applications effectively can improve competitive advantages, labour market and operational processes (Maresova et al, 2018). These developments in manufacturing will lead to an increase in economic growth (Bal & Erkan, 2019) as well as European commission report in 2017 (European Commission, 2017) about key lessons from national industry 4.0 policy initiatives in Europe
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