## 1 Introduction  
Industry 4.0 has received favourable responses throughout the world, and is becoming an intriguing topic in Malaysia, particularly among industry experts. The industry revolution is known as \"4.0\" due to the fact that there have been four transitions since the industry's inception. The first revolution was brought about by waterpower and the steam engine, which enabled people to get access to a large range of products for the first time. Electric power was used in the second revolution, which resulted in large-scale manufacturing. Then, computerization provided enormous advancements in product quality during the third revolution. According to [PERSON] et al., using robotics in manufacturing processes necessitated networks and included additional adjustments [1]. Industry 4.0 enables enormous personalization, fundamentally altering how items are created and marketed. Information has become available to all and is no longer a luxury. The world has changed as a result of digitalization, and advanced technologies are gradually influencing the industrial sector. The fourth industrial revolution does not only include the development of the transportation belt in the factory but changes the world outside of the factory gates as well. The entire logic of production is changing. As mention by [PERSON] et al., intelligent machines and products, storage systems and resources are consequently related to information technology along the entire value chain, starting from logistics to production and marketing, and ending with service [2]. Industrial 4.0 has a significant influence on quality, and numerous benefits may result from industrial revolutions. [PERSON] [3] argued that the industrial 4.0 idea helps businesses to have flexible production processes and to analyse enormous volumes of data in real time, boosting strategic and operational decision making. Furthermore, industrial 4.0 is able to suggest business model innovation or, more accurately, business strategy and to encourage creativity in the organisation to make business models more engaging and profitable. Industrial 4.0 is expected to lead to greater levels of operational efficiency and productivity, as well as greater levels of automation and optimization. Industry with a manufacturing environment is consistent with standard inspection [4]. In general, standard inspections represent systematic evaluation activity or a structured examination of the product. Inspections have become typical in the engineering field, requiring measurement and testing of certain operations. Inspections are the procedures used to guarantee that activities have been examined and tested in conformity with the specifications of a product or process. The goal of inspection is to verify the safety or dependability of any structures, as well as to ensure that the product and equipment are made in accordance with a variety of contractual responsibilities. [PERSON] and [PERSON] investigated an unmanned aerial vehicle (UAV)-assisted radio-frequency (RF)/free space optical (FSO) communication system under the amplified-and-forward protocol with variable gain. The new analytical performance metric expressions were developed inside these channel statistical models while taking pointing error impairments into account. Additionally, the asymptotic expressions of the outage probability, average BER, and other metrics subject to the non-pointing error impact were presented for the high SNR domain [5]. The Mahalanobis-Taguchi system (MTS) was invented by [PERSON], and is a diagnostic and forecasting tool that uses multivariate data without the assumption of a statistical distribution [6]. To achieve system diagnostic and dimension optimization, the MTS employs the Mahalanobis distance (MD) as a measuring scale and includes [PERSON]'s disciplined development. [PERSON] introduced MD in 1936 [7].