Industrial revolutions have transformed manufacturing to mass production. However, there is a controversy about what production paradigm is emerging along with the incoming new industrial revolution. ...Most focus is either on smart manufacturing or 3D printing (additive manufacturing). This study converges smart manufacturing and additive manufacturing to form the long tail of making things as a paradigm shift for the new industrial revolution, which results in an ideal production system with the advantages of both economies of scale and scope. With the introduction of social aspects, socio-cyber-physical system (SCPS)-based manufacturing is proposed from the organizational semiotic perspective and exemplified by the four pillars of Future Internet. Furthermore, an extended version of the long tail is formed by the two modes of SCPS-based manufacturing: wisdom manufacturing and social manufacturing, which reviewed as the logical extension of smart manufacturing and additive manufacturing, respectively. Finally, a general interoperability model for SCPS-based manufacturing is suggested, which can also be applied to other integrated manufacturing systems.
Building on manufacturing servitization, midlife equipment upgrade services introduce a value-adding alternative to traditional, capital intensive and time-consuming equipment replacement. Midlife ...upgrades improve the performance of and add new functional capabilities to an equipment during its middle-of-life to satisfy customers' evolving preferences. Recent explorative studies report a low adoption of this strategy in industry and attribute this to the limited strategic awareness and readiness of manufacturing firms. This study addresses this gap by, (i) revealing three sets of drivers (strategic, market, financial) that prompt manufacturers to offer equipment upgrade services; (ii) identifying distinctive capabilities and resources that are key to generate successful upgrade offerings leveraging the resource-based view as a theoretical foundation; and (iii) integrating the drivers, capabilities, and resources into a framework that manifests different stages of industrial service development process, namely, market sensing, development, sales, and delivery. Our novel framework provides a foundation for researchers to test, refine, and expand on why manufacturers provide upgrade services and how upgrade service offerings can succeed on the marketplace. Our framework can serve as a benchmarking tool to guide managers to identify capability gaps and prioritize capabilities to develop and offer successful upgrade offerings.
This article investigates the sliding-mode control issue for interval type-2 (IT2) T-S fuzzy systems under limited communication resources. An event-triggering weight try-once-discard (ET-WTOD) ...protocol is formulated via two thresholds to determine the transmission of the state signal. The proposed ET-WTOD protocol can dynamically adjust the transmitted nodes and permits only partial components with larger error to be sent at each triggering instant, which is just the key distinction from the existing protocols. Under the imperfect premise matching framework, the controller's membership functions are reconstructed via the received state and the known upper and lower bounds, and then, a new scheduling signal set is established to design the scheduling-signal-dependent fuzzy sliding-mode controller. With the aid of the membership-function-dependent approach, the mismatching premise variables of the fuzzy model and the controller are effectively handled by introducing some slack matrices, while the relaxed stability conditions are derived to ensure the stability of the closed-loop system and the reachability of the specified sliding surface. Moreover, an optimized sliding domain is further obtained via the genetic algorithm (GA). Finally, the proposed control strategy is verified via the mass-spring-damper system.
Abstract
With the increasingly development of the new information and communication technologies, China has proposed the integration of new information technology, electrical equipment, and ...intelligent Internet of Thing (IoT) system to accelerate the innovative development of the manufacturing industry. However, the information isolation and data scattering cause the poor services of electrical equipment. Aiming at the question, the preliminary construction of electrical equipment intelligent IoT Platform (EIP) is carried out in this article through system analysis and system design, which helps enterprises to improve the quality of manufacturing, realizing the transformation and upgrading and healthy development of the enterprise. At the same time, through the accumulation of heavy and complicated IoT big data, the quality evaluation and total life cycle management of electrical equipment are strongly supported to enhance the level of supply chain operations management, which lays a more solid foundation for the electrical equipment manufacturing industry to enhance the core competitiveness and for China to accelerate the realization of high-quality development by the intelligent manufacturing.
The fulfillment of a clean environment and sustainable development goals depends on production processes. Therefore, the recent changes in industrial output caused by digitalization are quite ...interesting from the perspective of sustainable development. Opportunities to increase productivity, decrease waste, and transition to a more effective manufacturing system are presented by this transformation. The current study aims to examine how Industry 4.0 (IR 4.0) can be advantageous for the environmental aspect of sustainable development, paying special attention to resource efficiency, efficient energy use, and transparency. IR 4.0 enabler technologies increase productivity, minimize waste, and progress toward a more efficient production system, showing the importance of evolving technologies in industrialization and mass customization. In order to observe the effects of new technologies in IR 4.0 on sustainability aspects, a case study of King Saud University's Smart Yogurt Filling System was examined using recent technologies such as the Internet of Things (IoT), reverse engineering, and additive manufacturing. The test and trial process reveals how these technologies might enhance sustainability in IR 4.0. Following the current study, the use of IR 4.0 enabler technologies demonstrated resource efficiency, transparency, and customer satisfaction as well as improving customer satisfaction, saving time and effort, increasing ergonomics, minimizing human interference, and enabling the delivery of customized products.
Purpose: This paper aims to provide a flexible solution to include additive manufacturing into a process chain complying with Industry 4.0 pillars, overcoming major drawbacks in terms of reliability ...and experimental effort. Design/methodology/approach: The study is based on the combination of real experimental activities and simulated ones. Findings: The main findings of this work consist into validation of the proposed process chain, which proves to be effective in terms of process flexibility (additive manufacturing, burnishing and process simulation acting synergistically), cost and time reduction and final output quality, encouraging customer involvement towards customization. Originality/value: This paper contributes to current research on the application of burnishing process, an easy to implement and environmentally friendly post-processing method to improve the performance of AM products, by providing a unique perspective integrating a reliable simulation model. Other researchers can employ these outcomes towards manufacturing of the future.
With the rapid development of information technology, data-driven fault diagnosis has gained more and more attention because it provides a new way for enterprises to save costs. Considering that ...there are few abnormalities in equipment operation in actual industrial applications, it is still a challenge to implement data-driven fault diagnosis that requires a large amount of fault data. To tackle the challenge, this paper proposes a model-independent data augmentation method, which is a weighted combination of the two time series data augmentation methods, i.e. Gaussian noise and signal stretching. The experimental dataset is collected from an intelligent motor test platform. The fault diagnosis model based on support vector machine and feedforward neural network are applied to study the ability of the proposed data augmentation method in terms of model independence. Experimental results show that the proposed data augmentation methods can significantly improve the accuracy of fault diagnosis.
Modern production systems rely heavily on data from the machines, processes and other sources. The amount and resolution of the data increases continuously allowing complex models like Machine ...Learning models to be trained and applied in production. All analytics and models that rely on the production data implicitly require a suitable data quality. Central level of data generation and acquisition is the machine level where data from machine and sensors are generated and need to be aggregated. In this paper, we define the Time Synchronization Problem that arise from the different data sources and technical properties of computerized systems in manufacturing directly impacting the quality of Time-Series data. Further, we cluster current approaches and discuss their applicability in data-intense manufacturing.
Mixed reality (MR) stands for the seamless combination of the physical world and virtual objects, e.g. in form of augmented reality (AR) on head mounted displays or on smartphones. The underlying ...technologies are more and more mature and various use cases in and beyond manufacturing can be found in industry and research. Typical applications deal with e.g. support of maintenance, quality management, assembly operations or training. However, the question arises how promising MR potentials can also be tapped towards environmental sustainability in manufacturing. Against this background, this paper identifies and analyses existing MR approaches with direct or indirect contributions, but also analyses related efforts and barriers. Based on this, feasible design strategies are suggested to support the development of future environmentally sustainability oriented MR solutions for manufacturing.
PDF
