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"This book addresses a wide range of issues relating to the theoretical substantiation of the necessity of Industry 4.0, the development of the methodological tools for its analysis and evaluation, and practical solutions for effectively managing this process. It particularly focuses on solving the problem of optimizing the development of Industry 4.0 in the context of knowledge economy formation. The book presents the authors' approach to studying the process of Industry 4.0 formation in connection with knowledge economy, and approach that allows the process to be studied in connection with the existing socio-economic and technological conditions. As a result, the conclusions and recommendations could be applied to modern economic systems and do not require any further elaboration. The presented research is based on modern economic theory scientific and methodological tools, including the tools of the theory of economic cycles, the theory of games, and the institutional economic theory. Raising awareness of the problem of Industry 4.0 formation, the book is of interest to a wide audience, including not only specialists and experts with a detailed knowledge of the topic, but also scholars, lecturers, and undergraduates of various fields of economics"

"This book presents computational and statistical methods used by intelligent systems within the concept of Industry 4.0. The methods include among others evolution-based and swarm intelligence-based methods. Each method is explained in its fundamental aspects, while some notable bibliography is provided for further reading. This book describes each methods' principles and compares them. It is intended for researchers who are new in computational and statistical methods but also to experienced users."

"The REV conference aims to discuss the fundamentals, applications and experiences in remote engineering, virtual instrumentation and related new technologies, as well as new concepts for education on these topics, including emerging technologies in learning, MOOCs & MOOLs, Open Resources, and STEM pre-university education. In the last 10 years, remote solutions based on Internet technology have been increasingly deployed in numerous areas of research, science, industry, medicine and education. With the new focus on cyber-physical systems, Industry 4.0, Internet of Things and the digital transformation in industry, economy and education, the core topics of the REV conference have become indispensable elements of a future digitized society. REV 2018, which was held at the University of Applied Sciences in Duesseldorf from 21-23 March 2018, addressed these topics as well as state-of-the-art and future trends."

"This book is to presents and evaluates a way of modelling and optimizing nonlinear RFID Network Planning (RNP) problems using artificial intelligence techniques. It uses Artificial Neural Network models (ANN) to bind together the computational artificial intelligence algorithm with knowledge representation an efficient artificial intelligence paradigm to model and optimize RFID networks.This effort leads to proposing a novel artificial intelligence algorithm which has been named hybrid artificial intelligence optimization technique to perform optimization of RNP as a hard learning problem. This hybrid optimization technique consists of two different optimization phases. First phase is optimizing RNP by Redundant Antenna Elimination (RAE) algorithm and the second phase which completes RNP optimization process is Ring Probabilistic Logic Neural Networks (RPLNN).The hybrid paradigm is explored using a flexible manufacturing system (FMS) and the results are compared with well-known evolutionary optimization technique namely Genetic Algorithm (GA) to demonstrate the feasibility of the proposed architecture successfully."

"ABSTRACTInterconnection among systems requires the interaction between different technologies, such as radio frequency identifier, sensors, processing in the cloud and cyber physical systems. The use of these technologies entails transforming the way operations management is carried out within companies, with potential for application in several helds of activity. This article aims to identify the contribution of the adoption of Industry 4.0 technologies for companies operation management (OM). Based on a survey with 38 successful cases of Industry 4.0 implementation, the results achieved the main benefits of the use of these technologies for OM. These results indicate that Industry 4.0s contributions are more concentrated in areas such as Technology management and Just in time manufacturing. Further, the maturity level of the successful cases analyzed is still incipient, indicating a potential for increasing productivity after the application of these technologies."

"This book highlights by careful documentation of developments what led to tracking the growth of deterministic disturbances inside the shear layer from receptivity to fully developed turbulent flow stages. Associated theoretical and numerical developments are addressed from basic level so that an uninitiated reader can also follow the materials which lead to the solution of a long-standing problem. Solving Navier-Stokes equation by direct numerical simulation (DNS) from the first principle has been considered as one of the most challenging problems of understanding what causes transition to turbulence. Therefore, this book is a very useful addition to advanced CFD and advanced fluid mechanics courses."

"ABSTRAKPada proses produksi lensa kontak yang memiliki berbagai tahap dan mesin,sering kali dialami kesulitan dalam mencari dengan efektif faktor krusial yangmempengaruhi rendahnya yield. Penelitian ini membahas mengenai peningkatanyield dengan menggunakan kerangka data mining, yang terdiri dari k-meansclustering, uji Kruskal-Wallis, dan decision tree. K-means clustering digunakanuntuk menentukan cutting point antara manufacturing order yang baik denganyang buruk, sedangkan uji Kruskal-Wallis digunakan untuk mencari tahapproduksi yang bermasalah dan menyebabkan rendahnya yield. Kemudian, hasildecision tree akan mengklasifikasi akar penyebab rendahnya yield sehinggaditemukan bahwa faktor yang paling berpengaruh adalah mesin Stop Gap danSupertortoise 2 pada tahap produksi Primary Packaging. Peningkatan yield dapatdilakukan dengan melakukan perbaikan performa komponen sealing pada mesinStop Gap serta komponen laser printer dan foil allignment pada mesinSupertortoise 2.

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ABSTRACTIn the manufacturing process of contact lenses which contains multiple processstages and machines, it is not easy to determine effectively the possible rootcauses of low yield. This study aims to enhance yield in contact lensmanufacturing industy using data mining framework, which consists of k-meansclustering, Kruskal-Wallis test, and decision tree. K-means clustering was appliedto determine the cutting point between good batch of manufacturing order and badbatch of manufacturing order, while Kruskal-Wallis test was applied to identifythe production process stages that causing low yield. Then, the decision tree resultwill classify the root cause of low yield and it was found that the most criticalfactors were Stop Gap and Supertortoise 2 machine in Primary Packaging processstage. Yield enhancement can be gained by improving the performance of sealingcomponent in Stop Gap machine and the performance of laser printer and foilallignment components in Supertortoise 2 machine."

"ABSTRAKPenelitian ini dilakukan untuk menganalisis tingkat efisiensi teknis perusahaanpada industri penyamakan kulit Indonesia (ISIC5 32312). Penelitian inimenggunakan unbalanced panel data tingkat perusahaan pada industripenyamakan kulit dari tahun 2000 sampai 2012. Untuk mengukur tingkatefisiensi teknis perusahaan, penelitian ini menggunakan metode StochasticFrontier Approach (SFA). Penelitian ini menemukan bahwa ukuran perusahaandan perusahaan yang berlokasi di Provinsi Jawa Barat memiliki pengaruh positifdan signifikan terhadap tingkat efisiensi teknis perusahaan. Hasil estimasi jugamengindikasikan bahwa penggunaan bahan baku impor dan penambahan jumlahtenaga kerja tidak berpengaruh positif terhadap peningkatan efisiensi teknisperusahaan.

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ABSTRACTThis study was conducted to analyze the level of technical efficiency of firms inthe Indonesia tanners industry (ISIC5 32312). This study uses unbalanced panel offirm-level data on the tanning industry from 2000 to 2012. To measure thetechnical efficiency of the firm's, this study using Stochastic Frontier Approach(SFA). This research finds that the size of companies and companies located inthe province of West Java has a positive and significant impact on the level offirm technical efficiency. The estimation results also indicate that the use ofimported raw materials and increase the number of non-production labor is notgive a positive impact on the firm technical efficiency."

"Salah satu aktivitas yang memegang peranan penting dalam menjamin kualitas packaging material yang akan dipakai pada proses produksi adalah aktivitas inspeksi. Dalam proses inspeksi selalu muncul situasi yang dinamis. Penelitian ini dilakukan untuk melakukan perancangan simulasi inspection plan aktivitas packaging material. Pemodelan simulasi dilakukan menggunakan software Plant Simulation. Model simulasi yang dibuat yaitu model simulasi dengan kondisi yang berjalan saat ini serta model dengan penentuan sampel menggunakan metode MIL STD 1916. Hasil penelitian ini adalah model dengan penentuan sampel yang berjalan saat ini, 1096 sampel bisa diselesaikan dengan 5 orang inspektor yang bekerja 1 shift. Sedangkan dengan penentuan sampel MIL STD 1916, 2120 sampel bisa diselesaikan dengan 6 orang inspektor yang bekerja 3 shift setiap hari.

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One of the main activity that has important impact to make sure packaging materials quality that would be used in production process is inspection activity. In the inspection process always appear dynamic situation. This study was conducted to simulate the design of packaging material inspection plan activity. Simulation modeling performed using the Plant Simulation software. The simulation model that created is a simulation model using current conditions and model with sample size using MIL STD 1916 method. Results of this study was to define model using the sample size current condition, 1096 samples could be completed by 5 inspectors who work one shift. While using the sample size MIL STD 1916 method, 2120 samples could be completed by 6 inspectors who work 3 shifts per day."

"This volume presents the Proceedings of the Sixth International Conference on Green and Human Information Technology (ICGHIT), held in Chiang Mai, Thailand, Jan 31-Feb 2, 2018.ICGHIT is the unique global conference for researchers, industry professionals, and academics interested in the latest development of green and human information technology. Its broad scope ranges from electronics to communications, computers, multimedia and signal processing, control and intelligent systems, IC and convergence technologies, which are related to green and human issues such as energy saving and human welfare. Specially in this volume, ICGHIT covers state-of-the-art technologies for the 4th industrial revolution, for example, cyber security, big data and cloud service, smart medical system, machine learning and its applications."