Smart Manufacturing

This book is a collection of 11 articles that are published in the corresponding Machines Special Issue “Smart Manufacturing”. It represents the quality, breadth and depth of the most updated study in smart manufacturing (SM); in particular, digital technologies are deployed to enhance system smartness by (1) empowering physical resources in production, (2) utilizing virtual and dynamic assets over the Internet to expand system capabilities, (3) supporting data-driven decision-making activities at various domains and levels of businesses, or (4) reconfiguring systems to adapt to changes and uncertainties. System smartness can be evaluated by one or a combination of performance metrics such as degree of automation, cost-effectiveness, leanness, robustness, flexibility, adaptability, sustainability, and resilience. This book features, firstly, the concepts digital triad (DT-II) and Internet of digital triad things (IoDTT), proposed to deal with the complexity, dynamics, and scalability of complex systems simultaneously. This book also features a comprehensive survey of the applications of digital technologies in space instruments; a systematic literature search method is used to investigate the impact of product design and innovation on the development of space instruments. In addition, the survey provides important information and critical considerations for using cutting edge digital technologies in designing and manufacturing space instruments

Smart Manufacturing Capability Maturity Model: Connotation, Feature And Trend

In March 2015, the Chinese government unveiled InternetPlus, an action plan expected to push forward the Chinese economy. The plan aims to integrate mobile Internet, cloud computing, big data, and the Internet of Things (IoT) with traditional industries to promote economic restructuring, improve people’s livelihoods, and even transform government and enterprises functions. However for the enterprises, how to evaluate the capability is still an unsolved issue. In this study, considering capability maturity theory and model existed, we summarized the concepts of smart manufacturing and relative research field, combined with the development trend of smart manufacturing and characteristics of the enterprise\u27s competition, a smart manufacturing capability maturity initial model with five levels and seven dimensions was defined. With this model, the connotation of smart manufacturing capability was unveiled and the model also provides reference for enterprises to assess and improve smart manufacturing capability

Smart manufacturing and supply chain management

In the fourth industrial revolution, smart manufacturing will be characterized by adaptability, resource efficiency and ergonomics as well as the integration of customers and business partners in business and value processes. Business model, operations management, workforce and manufacturing process all face substantial transformations to reasoning the manufacturing process. This paper explores the impacts of smart manufacturing on supply chain management, and develops several propositions to improve supply chain performance under the context of smart manufacturing

Key Factors of Customer-Supplier of Smart Manufacturing Implementation

The paper presents a conceptual framework of the key factors of customers and suppliers in the implementation of smart manufacturing in the company. The field of the study related to competitiveness through cutting-edge technologies related to the Industrial Revolution 4.0. Hence, it shows accurate and effective decision-making in real-time from the smart manufacturing implementation. This comes together with the converging of the actual manufacturing technologies as an aid for the operations and productions. On the conceptual development, the journal articles, conference proceedings, books, dissertations, online news and newspaper, magazines related to smart manufacturing have been analyzed. A critical review creates an appropriate conceptual framework with the relationships of the key concepts of the link between customers and suppliers for the smart manufacturing implementation, as a contribution to the body of knowledge

Generic Design Methodology for Smart Manufacturing Systems From a Practical Perspective. Part II—Systematic Designs of Smart Manufacturing Systems

In a traditional system paradigm, an enterprise reference model provides the guide for practitioners to select manufacturing elements, configure elements into a manufacturing system, and model system options for evaluation and comparison of system solutions against given performance metrics. However, a smart manufacturing system aims to reconfigure different systems in achieving high-level smartness in its system lifecycle; moreover, each smart system is customized in terms of the constraints of manufacturing resources and the prioritized performance metrics to achieve system smartness. Few works were found on the development of systematic methodologies for the design of smart manufacturing systems. The novel contributions of the presented work are at two aspects: (1) unified definitions of digital functional elements and manufacturing systems have been proposed; they are generalized to have all digitized characteristics and they are customizable to any manufacturing system with specified manufacturing resources and goals of smartness and (2) a systematic design methodology has been proposed; it can serve as the guide for designs of smart manufacturing systems in specified applications. The presented work consists of two separated parts. In the first part of paper, a simplified definition of smart manufacturing (SM) is proposed to unify the diversified expectations and a newly developed concept digital triad (DT-II) is adopted to define a generic reference model to represent essential features of smart manufacturing systems. In the second part of the paper, the axiomatic design theory (ADT) is adopted and expanded as the generic design methodology for design, analysis, and assessment of smart manufacturing systems. Three case studies are reviewed to illustrate the applications of the proposed methodology, and the future research directions towards smart manufacturing are discussed as a summary in the second part

Smart Manufacturing Technology Adoption for Improving Productivity: A Systematic Literature Review

This paper is to present a review of the Smart manufacturing application as Industry 4.0, specifically on the conceptual approaches to define it. Two conceptual approaches to the application of the concept of smart manufacturing are distinguished. The method using the previous articles of scientific journals from 2017-2022 (thirty-two international paper) were selected based on previous works, with the scope to investigate and analyze in-depth the extent to which literature used to discuss results in the selected studies of applying the Smart Manufacturing Technology in manufacture enterprises. The results of the previous studies are discussed and investigated in a table format

Smart Manufacturing using IOT

We are entering a new era of computing technology that many are calling the Internet of Things (IoT).Machine to machine, machine to infrastructure, machine to environment, the Internet of Everything, the Internet of Intelligent Things, intelligent systems–call it what you want, but it's happening, and its potential is huge. We see the IoT as billions of smart, connected “things” (a sort of “universal global neural network” in the cloud) that will encompass every aspect of our lives, and its foundation is the intelligence that embedded processing provides. The IoT is comprised of smart machines interacting and communicating with other machines, objects, environments and infrastructures. As a result, huge volumes of data are being generated, and that data is being processed into useful actions that can “command and control” things to make our lives much easier and saferand to reduce our impact on the environment. The creativity of this new era is boundless, with amazing potential to improve our lives

Smart meters in smart manufacturing

The extent of change in business process and smart manufacturing usage should be taken into account in every energy efficiency project in industries. A significant part of smart metering success depends upon making the business processes more systematic. Smart manufacturing in the dramatically intensified and pervasive application of networked information-based technologies through the manufacturing and supply chain enterprise. There is no doubt that the deployment os smart meters involves complex and different business models, the management of significant risks, and the need for research and developtment of new technologies, business models and organization engineering. Industrial energy audits play an important role in achieving cost optimization and peak load reduction goals for industry. In this paper, we present the impact of smart meters in industry. In essence, smart meters promotes the (r)evolution of smart manufacturing