Transdisciplinary systems approach to realization of digital transformation

With advancement in technology and emergence of fast networks, operation of businesses and global companies increasingly depend on the Internet and digital transformation of their infrastructures. Adaptation to Industry 4.0 paradigm gives rise to societal, technological and communication issues due to challenges in product, services, social and inter-disciplinary interactions. A more fundamental approach that can mitigate complexity of the new business is necessary. This paper adopts a system of systems model embedded into a transdisciplinary system design to describe a typical X4.0 system where X can be any industry sector migrating to Industry 4.0 paradigm. Two industry sectors: Education 4.0 and Retail 4.0 are studied under the amalgamated transdisciplinary system of systems model. Results show that the four artifacts in X4.0 can form the foundation of new sectorial 4.0 development with focus on specific elements in Cyber Physical Systems and Work4.0 artifacts. The transdisciplinary system approach has the advantage of a self-improving model that drives realization of digital transformation in evolutionary cycles.     

Industry 4.0 and the current status as well as future prospects on logistics

Industry 4.0, referred to as the “Fourth Industrial Revolution”, also known as “smart manufacturing”, “industrial internet” or “integrated industry”, is currently a much-discussed topic that supposedly has the potential to affect entire industries by transforming the way goods are designed, manufactured, delivered and payed. This paper seeks to discuss the opportunities of Industry 4.0 in the context of logistics management, since implications are expected in this field. The authors pursue the goal of shedding light on the young and mostly undiscovered topic of Industry 4.0 in the context of logistics management, thus following a conceptual research approach. At first, a logistics-oriented Industry 4.0 application model as well as the core components of Industry 4.0 are presented. Different logistics scenarios illustrate potential implications in a practice-oriented manner and are discussed with industrial experts. The studies reveal opportunities in terms of decentralisation, self-regulation and efficiency. Moreover, it becomes apparent that the concept of Industry 4.0 still lacks a clear understanding and is not fully established in practice yet. The investigations demonstrate potential Industry 4.0 implications in the context of Just-in-Time/Just-in-Sequence and cross-company Kanban systems in a precise manner. Practitioners could use the described scenarios as a reference to foster their own Industry 4.0 initiatives, with respect to logistics management.     

A Quality 4.0 Model for architecting industry 4.0 systems

The increasing importance of automation and smart capabilities for factories and other industrial systems has led to the concept of Industry 4.0 (I4.0). This concept aims at creating systems that improve the vertical and horizontal integration of production through (i) comprehensive and intelligent automation of industrial processes, (ii) informed and decentralized real-time decision making, and (iii) stringent quality requirements that can be monitored at any time. The I4.0 infrastructure, supported in many cases by robots, sensors, and algorithms, demands highly skilled workers able to continuously monitor the quality of both the items to be produced and the underlying production processes.While the first attempts to develop smart factories and enhance the digital transformation of companies are under way, we need adequate methods to support the identification and specification of quality attributes that are relevant to I4.0 systems. Our main contribution is to provide a refined version of the ISO 25010 quality model specifically tailored to those qualities demanded by I4.0 needs. This model aims to provide actionable support for I4.0 software engineers that are concerned with quality issues. We developed our model based on an exhaustive analysis of similar proposals using the design science method as well as expertise from seasoned engineers in the domain. We further evaluate our model by applying it to two important I4.0 reference architectures further clarifying its application.     

Development of Industry 4.0 predictive maintenance architecture for broadcasting chain

Industry 4.0 Predictive Maintenance (PdM 4.0) architecture in the broadcasting chain is one of the taxonomy challenges for deploying Industry 4.0 frameworks. This paper proposes a novel PdM framework based on advanced Reference Architecture Model Industry 4.0 (RAMI 4.0) to reduce operation and maintenance costs. This framework includes real-time production monitoring, business processes, and integration based on Design Science Research (DSR) to generate an innovative Business Process Model and Notation (BPMN) meta-model. The addressed model visualizes sub-processes based on experts' and stakeholders' knowledge to reduce the cost of maintenance of audiovisual services including satellite TV, cable TV, and live audio and video broadcast services. Based on the recommendation and the concept of Industry 4.0, the proposed framework tolerates the predictable failures and further concerns in similar related industries. Some empirical experiments have been conducted by using the Islamic Republic of Iran Broadcasting’s (IRIB) high-power station (located near the capital city of Iran, Tehran) to evaluate the functionality and efficiency of the proposed predictive maintenance framework. Practical outcomes demonstrate that interval times between data collection should be increased in audio and video broadcasting predictive maintenance because of the limitation of the internal processing performance of equipment. The framework also indicates the role of the Frequency Modulation (FM) transmitters’ data clearance to reduce the instability and untrustworthy data during data mining. The proposed DSR method endorses using a customized RAMI 4.0 meta-model framework to adapt distributed broadcasting and communication with PdM 4.0, which increases the stability as well as decreasing maintenance costs of the broadcasting chain in comparison to state-of-the-art methodologies. Furthermore, it is shown that the proposed framework outperforms the best-evaluated methods in terms of acceptance.     

使用Photoshop和Authorware设计任意形状的按钮

Authorware40是开发计算机辅助教学系统的常用软件平台之一,它可以自定义矩形按钮（Butto）,本文介绍了使用Photoshop5.0为Authorware设计任意形状的按钮的方法。     

Cloud based cyber-physical systems: Network evaluation study

In recent years, the Industry 4.0 concept brings new demands and trends in different areas; one of them is distributing computational power to the cloud. This concept also introduced the Reference Architectural Model for Industry 4.0 (RAMI 4.0). The efficiency of data communications within the RAMI 4.0 model is a critical issue. Aiming to evaluate the efficiency of data communication in the Cloud Based Cyber-Physical Systems (CB-CPS), this study analyzes the periods and data amount required to communicate with individual hierarchy levels of the RAMI 4.0 model. The evaluation of the network properties of the communication protocols eligible for CB-CPS is presented. The network properties to different cloud providers and data centers’ locations have been measured and interpreted. To test the findings, an architecture for cloud control of laboratory model was proposed. It was found that the time of the day; the day of the week; and data center utilization have a negligible impact on latency. The most significant impact lies in the data center distance and the speed of the communication channel. Moreover, the communication protocol also has impact on the latency. The feasibility of controlling each level of RAMI 4.0 through cloud services was investigated. Experimental results showed that control is possible in many solutions, but these solutions mostly cannot depend just on cloud services. The intelligence on the edge of the network will play a significant role. The main contribution is a thorough evaluation of different cloud providers, locations, and communication protocols to provide recommendations sufficient for different levels of the RAMI 4.0 architecture.     

Cyber Security Intrusion Detection for Agriculture 4.0: Machine Learning-Based Solutions,Datasets, and Future Directions

In this paper, we review and analyze intrusion detection systems for Agriculture 4.0 cyber security. Specifically, we present cyber security threats and evaluation metrics used in the performance evaluation of an intrusion detection system for Agriculture 4.0. Then, we evaluate intrusion detection systems according to emerging technologies, including, Cloud computing, Fog/Edge computing, Network virtualization, Autonomous tractors, Drones, Internet of Things, Industrial agriculture, and Smart Grids. Based on the machine learning technique used, we provide a comprehensive classification of intrusion detection systems in each emerging technology. Furthermore, we present public datasets, and the implementation frameworks applied in the performance evaluation of intrusion detection systems for Agriculture 4.0. Finally, we outline challenges and future research directions in cyber security intrusion detection for Agriculture 4.0.      

Industry 4.0 and Industry 5.0—Inception,conception and perception

Industry 4.0, an initiative from Germany, has become a globally adopted term in the past decade. Many countries have introduced similar strategic initiatives, and a considerable research effort has been spent on developing and implementing some of the Industry 4.0 technologies. At the ten-year mark of the introduction of Industry 4.0, the European Commission announced Industry 5.0. Industry 4.0 is considered to be technology-driven, whereas Industry 5.0 is value-driven. The co-existence of two Industrial Revolutions invites questions and hence demands discussions and clarifications. We have elected to use five of these questions to structure our arguments and tried to be unbiased for the selection of the sources of information and for the discussions around the key issues. It is our intention that this article will spark and encourage continued debate and discussion around these topics.     

一体化交换机呼叫中心平台产品BYUNICC4.0及其在佛山水业集团公司的应用

对一体化交换机呼叫中心平台产品BYUNICC4.0的结构、特点以及功能进行了系统的研究.BYUNICC4.0以ALL-IN-ONE的方式集成并固化了PBX/ACD/IVR/CTI/数字录音/语音信箱OIP/TTS/传真/人工座席软件/短信/统计报表软件/维护管理工具软件/智能自动外拔软件/CRM/易学易用的软件二次开发环境以及软件二次开发的模板程序源代码/运营管理等核心的呼叫中心功能模块.借助于BYUNICC4.0,呼叫中心项目的实施简化成为了数据库应用软件项目的实施,实现了呼叫中心系统项目软件开发的高度"平民化".最后通过实际工程案例验证了该产品的有效性.     

ToolBook4.0环境下视窗的定位与优化显示

本文分析了在ＴｏｏｌＢｏｏｋ４．０ 环境下视窗显示不稳定的原因，列举了ＴｏｏｌＢｏｏｋ４．０ 环境下视窗的定位的基本方法，并在此基础上提出了视窗显示的优化方法     

IIS的安全性

IIS4．0用来将WindowsNT的文件、网络及应用程序服务提供给基于web的客户机。本文介绍了IIS4．0应用的安全防护方法。IIS的安全性建立在WindowsNT安全性之上,其安全性与WindowsNT的安全性紧密相联。     

A survey on decision-making based on system reliability in the context of Industry 4.0

The business world is continually changing. Dynamic environments, full of uncertainties, complexities, and ambiguities, demand faster and more confident decisions. To compete in this environment, Industry 4.0 emerges as an essential alternative. In this context, the reliability of manufacturing is an essential aspect for companies to make successful decisions. In the literature, several technologies associated with Industry 4.0 have been applied to improve the availability of equipment, including the Internet of Things (IoT), Cyber-Physical Systems (CPS), blockchain, and data mining. Nevertheless, there is still no survey study that seeks to show how reliability has collaborated to support decision-making in organizations, in the context of Industry 4.0. In general, most applications still focus on the productivity and health of individual equipment. However, in today's volatile and complex businesses, local decisions are no longer sufficient; it is necessary to analyze the organization entirely. Thus, being aware of the impacts that a local failure can impose on the entire company has significant weight in the decision-making process. In this context, this article presents a survey to identify how researches on systems reliability has contributed to and supported the development of decision-making in Industry 4.0. The main contribution of this article is to highlight how reliability can be used to support different types of strategic decisions in the context of Industry 4.0. Finally, it highlights the need for research associating management decisions with the technologies of Industry 4.0.     

Innovation in the Agri‐Food sector: Exploiting opportunities for Industry 4.0

Agri‐Food producers have a responsibility to provide safe, secure and sustainable food in a world characterized by disruption and increasing intolerance of waste along supply chains. As such, it is critical that they adopt new technologies to ensure efficient and effective management of their responsibility. While Industry 4.0 (I4.0) technologies can underpin process innovation opportunities, there is a gap in research‐based understanding of how they influence innovation practice and outcomes in Agri‐Food. In this paper, we investigate how I4.0, as a set of enabling technologies, influences core process innovation practice and product innovation outcomes in Agri‐Food firms. We present case studies of two Spanish firms processing fresh food products, competing in two important subsectors of the industry, meat and fruit and vegetables. We used secondary material and semi‐structured interviews as data sources. The findings describe how, in the two cases, I4.0 has enabled responses to new customers requirements through process innovations resulting in enhanced functionality, aesthetics and meaning of the delivered products. Our paper contributes a framework identifying for researchers and managers how I4.0 technologies act as enablers of the core innovation processes and competitive outcomes.     

Analysis of fractal manufacturing systems framework towards industry 4.0

Currently, ways to approach the design of Cyber Physical Systems in Industry 4.0 are under development. Emerging concepts of Smart Factories require the development of specialized knowledge; new working methods are also needed to manage the transition from conventional industry to industry 4.0. To achieve this objective, fractal theory could provide the appropriate knowledge and tools. Fractal systems applied to manufacturing have been widely used over the last decades to design complex adaptive systems: it allows the introduction of resilience requirements (capacity to react to changes in a turbulent environment) and to reduce the complexity of its structure, operation and management. In order to know the potential and the possibility of applying fractal theory to the design of systems in Industry 4.0, this article reviews the publications that develop fractal systems for manufacturing engineering. The review includes contributions published between 1985 (approximate date of the first works on the theory applied to manufacturing engineering) and 2019. The objective is to gather those strategies, methodologies and successful case studies that can be useful for the approaches of Industry 4.0 and to define a set of future lines of work for the adaptation of the fractal theory to the new challenges posed by Industry 4.0.     

WindowsNT4.0无盘工作站局域网规划及管理

本文了ＷｉｎｄｏｗｓＮＴ４．０无盘工作站局域网络建立,网络规划等内容,介绍了ＷｉｎｄｏｗｓＮＴ４．０无盘工作站忆现金 络建设中的经验和技巧。     

网络的安全维护与故障排除

本文是一篇用来网络的安全维护与故障排除的论文,全文共分四个部分,第一部分着重介绍WindowsNT4.0安全措施和方法,第二部分着重介绍Windows NT4.0常见的故障以及排除方法,第三部分着重介绍Netware4.1安全维护,第四部分着重介绍Netware4.1中常见的故障以及排除方法。     

OpenPBS接入GT4平台的一个实现方案

根据OpenPBS与Globus Toolkit4.0不可兼容这一问题,提出了一个新的方案来解决这个问题.在Globus Toolkit4.0与OpenPBS之间增加一个中介:Globus Toolkit2.4.通过这个中介,实现网格作业的资源管理,为用户提供了一个透明的网格资源的使用方法.先介绍了这个系统的设计思想、系统结构,然后详细说明了具体实现中用到的关键技术,包括Globus Toolkit2.4上作业的执行过程、Globus Toolkit2.4与Globus Toolkit4.0间的连接问题、节点的状态检测等.     

低能耗蓝牙4.0协议原理与实现方法

介绍了最新的蓝牙技术规范4.0协议中低能耗部分的协议原理以及协议架构。讨论了在分层结构通信协议实现中遇到的主要问题和应对的策略。结合通信协议实现的通常策略,讨论了低能耗蓝牙4.0协议实现的方法与策略。     

How human factors affect operators' task evolution in Logistics 4.0

The spread of the Industry 4.0 paradigm introduced an increasing number of technological innovations into companies to improve logistics processes. During a transition to Logistics 4.0, it is necessary to consider all the issues that affect logistics, among which human factors (HF) are considered to be the most important. On the basis of the existing scientific literature, this article aimed to identify the relationships between 4.0 technologies implementation and HF concerning the evolution of human activities towards different hypothetical future scenarios (i.e., no changes, work replaced, or work assisted), analysing in detail the HF affected by 4.0 technologies. These relationships, which were summarised in a matrix, were also tested through a single longitudinal case study. The research showed that technology tends to replace logistics operators, not only for dangerous physical tasks but also for cognitive tasks that are stressful and repetitive. Moreover, for some tasks in which many different HF are involved, the evolution is towards operator assistance, rather than replacement.     

From industry 4.0 to society 4.0, there and back

The new industrial paradigm Industry 4.0, or smart industry, is at the core of contemporary debates. The public debate on Industry 4.0 typically offers two main perspectives: the technological one and the one about industrial policies. On the contrary, the discussion on the social and organizational effects of the new paradigm is still underdeveloped. The article specifically examines this aspect, and analyzes the change that workers are subject to, along with the work organization, smart digital factories. The study originates from an empirical survey conducted by the author together with a multidisciplinary research group between 2014 and 2015 in some of the largest Italian factories.In particular, the article analyzes the links between digital society, digital culture and Industry 4.0, focusing on the issue of people’s participation in the process of change, within a specific case study from the railway sector.Many elements of the Industry 4.0 paradigm are widespread outside the factory, in society; they are not only technological elements but also cultural. One of the key aspects of the analysis is the question of participation and the “person-centered” culture. The subject is addressed critically by presenting both the RE-personalization processes (from the centrality of the users–consumers in consumption practices to the centrality of the worker in the work paradigm 4.0) and the new processes of DE personalization caused by digital automation.