This paper provides preliminary discourse on buzz words about Industry 4.0 and Society 5.0. This discourse focuses on the lens of Condition Based Maintenance (CBM) and Machine Learning of Artificial Intelligence (MLAI). To some extent several companies have embarked Industry 4.0 and Society 5.0 within Internet of Things (IoT) technology. Through the wave of IoT Technology, Industries are adopting automated machinery. Predictive maintenance (PM) is indispensable not only toward the machines” vitality and longevity purpose, but also toward the human error reduction. This paper elaborates its discourse of Industry 4.0 and Society through the lens of CBM and MLAI. The mentioned Machine Learning, in this paper, refers to research methodology, as methodological frameworks. Those frameworks comprise several phases, which are: 1. Equipment Analysis; 2. Data Evaluation; 3. Data Selection and Process; 4. Modeling; 5. Decision Support Model Evaluation. The MLAI techniques are based upon the identification of behaviour patterns. This identification comprises datasets that exclude mathematical models or prior historical knowledge. The discourse in this paper intertwines CBM process and MLAI through data cleaning and processing, features stratification and extraction, model stratification and validation. This paper elaborates two renowned maintenance approaches which are preventive and corrective maintenance. Discourse in this paper focuses on corrective action, known as predictive maintenance (PM), or condition based maintenance (CBM) within Reliability Centered Maintenance (RCM). CBM is chosen as the most desirable strategy, as it involves the intervention as the consequence of the machine breakdown. It also provides cost savings toward spare parts consumption, and optimizes production.
This paper elaborates discourse on Highway Automatic Tollgate (HAT) within logistics and supply chain engineering perspectives. The aforementioned HAT and its implementation are complying with the Product Design Engineering’s perspectives within theoretical and industrial implementation through Industry 4.0 in Indonesia. The objective of this paper is to intertwine the theoretical perspectives with industrial implementation. The industrial implementation constitutes the effort to implement paperless system for HAT in order to reduce wasted papers that are necessarily needed by user of this HAT, as transaction proof. The result and discussion of this paper comprise several discussions to be considered. To begin with, the result of this paperless system helps the cleaning service officers to reduce their cleaning duty. Furthermore, the result of this paperless system integrates the concept of industry 4.0 within scope of internet of things (IoT) and internet of everything (IoE). Subsequently, the discussion on this paper refers to the discourse on logistics and supply chain engineering perspectives, to ease the transaction proof involving big data. As a result, it reduces significantly the vehicle traffic and time needed to proceed to transaction in the aforementioned HAT. This paper refers to the research methodology within quantitative approach. As future research, it is indispensable to intertwine both aforementioned theoretical and industrial implementation. Both implementation, as future research, need to be integrated within the Asia Region.
Keywords: big data analytics; internet of things; making Indonesia 4.0; paperless mechanism; product design engineering
Business innovation is deemed an important factor for sustainable competitive advantages. The mentioned important factors are vis à vis not merely product, but also service. Subsequently, this paper elaborates service innovation within ambidexterity approach that comprises two considerations of exploitation and exploration. The exploitation refers to the continuous improvement of the existing activities in companies. Meanwhile, the exploration refers to the breakthrough of new frontier activities in companies that are needed for the company to gain sustainable competitive advantages. Both exploitation and exploration are supported by the theoretical approach and its empirical implementation within companies’ sustainable competitive advantages, through grand theory within industrial engineering discipline. This paper elaborates the service innovation that is deemed as antecedents for both financial and nonfinancial performance in the banking industry in Indonesia. The focus of the banking industry in this paper refers to the area of DKI Jakarta, as the center of technology in its capacity as the capital city of Indonesia. The theoretical approach is subsequently implemented through Industry 4.0 that covers trilogy of physical, digital, and biology. Furthermore, the mentioned implementation is aimed at the benefits of Making Indonesia 4.0 with the Indonesia local wisdom and setting. Precisely, it covers focused sectors: food and beverages; textile; automotive; chemical; and electronic. Ultimately, it refers to an action plan as quick wins in term of technology incentive; investor roadshow; vocational education; and innovation center, along with its support for small-medium enterprise.
Keywords: banking industry; contextual ambidexterity; exploration service innovation; exploitation service innovation; financial performance; structural ambidexterity
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