# Development of a Coordinate Measuring Machine--Based Inspection Planning System for Industry 4.0
## 1 Introduction  
Industry 4.0, as a strategic initiative, aims to create smart factories where manufacturing technologies are upgraded and transformed into Internet of Things and cloud computing [1, 2]. \"The manufacturing industry is on the top of Industry 4.0, because it brings with it advanced technologies and techniques capable of rapidly and efficiently changing the products, processes and supply chains involved in every aspect of industry\" [3]. The original definitions of Industry 4.0 are proposed in [4, 5]. The definition contains several key words, such as advanced manufacturing and advanced metrology. This means that advanced manufacturing, or metrology, is the basis for the fourth industrial revolution. In the same context, the following terms are used worldwide: a smart factory (metrology), and intelligent manufacturing (metrology) [6]. \"Industry 4.0 is also the digital transformation of manufacturing and related industries and value chain creation processes, based on intelligence of machines and processes for industry by informationand communication technology\" [7]. An evolution of production systems from Industry 2.0 through Industry 4.0 is presented in [8]. Within Industry 4.0, smart manufacturing systems are designed to respond in real-time for catering to the rapidly changing demands and conditions in the factory, the supply network, and customer needs. \"Smart manufacturing is arriving and promises a future of mass-producing highly personalized products via responsive autonomous manufacturing operations at a competitive cost\" [9]. \"With the rapid growth of integrating ITs and operation technologies in the industry, significant efforts have been made to make manufacturing smart\" [10]. Some key advantages of using smart manufacturing include higher quality products, improved productivity, safer plant floors, and improved energy efficiency. Those systems include machines, smart sensors, and robotic platforms, as well as the data necessary for monitoring, maintenance, and control of the production and measuring process. If we perform a comparison between the development of technological systems and manufacturing metrology, according to [7; 11], we can define the following facts: (i) a holistic measurement model applied as a smart system, and (ii) a CMM as a multi sensor system and CPS, making up today the basic framework of smart metrology model for Industry 4.0. \"Based on cyber-physical system CPS and IoT technology, the flexible transformation of the manufacturing process to suit diverse customer manufacturing requirements is very possible, by make-to-order services\" [12]. According to [13] \"smart metrology is the implementation of a revised metrological function to make relevant decisions using AI techniques\". The paper [14] discusses how the Industry 4.0 infrastructure can be used to collect and process data to obtain useful information about the in-line metrology process. The basis of the \"factory operating system for extending existing factories to Industry 4.0\" [15] is the application of industrial innovations, primarily in the field of IT, with online communication and collaboration of manufacturers, customers and suppliers. From the standpoint of SMEs, according to [16], \"flexibility, cost, efficiency, quality and competitive advantage\" are found to be the key benefits to Industry 4.0 adoption. The outcome of research presented in [17] is a developed platform that will be referred to Industry 4.0 HUB for SMEs. The paper [18] provides manufacturing execution system (MES) functionalities from I4.0-related requirements standpoint and an overview of development methods for those purposes. Today's trends for development and implementation, as well as the functions of MES in the context of Industry 4.0 are given in [19; 20]. When it comes to measurement strategies applicable for Industry 4.0 purposes, only strategies that offer automatic distribution of measurement points can be applied. All manual distribution strategies and non-analytical strategies are not applicable for this purpose.