Enhancing Sustainability and Energy Efficiency in Smart Factories: A Review

With the rapid development of sensing, communication, computing technologies, and analytics techniques, today’s manufacturing is marching towards a new generation of sustainability, digitalization, and intelligence. Even though the significance of both sustainability and intelligence is well recognized by academia, industry, as well as governments, and substantial efforts are devoted to both areas, the intersection of the two has not been fully exploited. Conventionally, studies in sustainable manufacturing and smart manufacturing have different objectives and employ different tools. Nevertheless, in the design and implementation of smart factories, sustainability, and energy efficiency are supposed to be important goals. Moreover, big data based decision-making techniques that are developed and applied for smart manufacturing have great potential in promoting the sustainability of manufacturing. In this paper, the state-of-the-art of sustainable and smart manufacturing is first reviewed based on the PRISMA framework, with a focus on how they interact and benefit each other. Key problems in both fields are then identified and discussed. Specially, different technologies emerging in the 4th industrial revolution and their dedications on sustainability are discussed. In addition, the impacts of smart manufacturing technologies on sustainable energy industry are analyzed. Finally, opportunities and challenges in the intersection of the two are identified for future investigation. The scope examined in this paper will be interesting to researchers, engineers, business owners, and policymakers in the manufacturing community, and could serve as a fundamental guideline for future studies in these areas.

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Six-Gear Roadmap Towards the Smart Factory

Applied Sciences ◽

10.3390/app11083568 ◽

2021 ◽

Vol 11 (8) ◽

pp. 3568

Author(s):

Amr T. Sufian ◽

Badr M. Abdullah ◽

Muhammad Ateeq ◽

Roderick Wah ◽

David Clements

Keyword(s):

Industry 4.0 ◽

Manufacturing Industry ◽

Industrial Revolution ◽

Digital Technologies ◽

Industrial Applications ◽

Smart Manufacturing ◽

Conceptual Approach ◽

Industrial Manufacturing ◽

Key Enabling Technologies ◽

Manufacturing Technologies

The fourth industrial revolution is the transformation of industrial manufacturing into smart manufacturing. The advancement of digital technologies that make the trend Industry 4.0 are considered as the transforming force that will enable this transformation. However, Industry 4.0 digital technologies need to be connected, integrated and used effectively to create value and to provide insightful information for data driven manufacturing. Smart manufacturing is a journey and requires a roadmap to guide manufacturing organizations for its adoption. The objective of this paper is to review different methodologies and strategies for smart manufacturing implementation to propose a simple and a holistic roadmap that will support the transition into smart factories and achieve resilience, flexibility and sustainability. A comprehensive review of academic and industrial literature was preformed based on multiple stage approach and chosen criteria to establish existing knowledge in the field and to evaluate latest trends and ideas of Industry 4.0 and smart manufacturing technologies, techniques and applications in the manufacturing industry. These criteria are sub-grouped to fit within various stages of the proposed roadmap and attempts to bridge the gap between academia and industry and contributes to a new knowledge in the literature. This paper presents a conceptual approach based on six stages. In each stage, key enabling technologies and strategies are introduced, the common challenges, implementation tips and case studies of industrial applications are discussed to potentially assist in a successful adoption. The significance of the proposed roadmap serve as a strategic practical tool for rapid adoption of Industry 4.0 technologies for smart manufacturing and to bridge the gap between the advanced technologies and their application in manufacturing industry, especially for SMEs.

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Integrating SMEs Through Cloud

Organizational Transformation and Managing Innovation in the Fourth Industrial Revolution - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-5225-7074-5.ch008 ◽

2019 ◽

pp. 143-164 ◽

Cited By ~ 1

Author(s):

Brintha N. C. ◽

Winowlin Jappes J. T. ◽

Jacob Sukumaran

Keyword(s):

Resource Selection ◽

Industrial Revolution ◽

New Technologies ◽

Big Data Analytics ◽

Smart Manufacturing ◽

Grey Wolf ◽

Advanced Manufacturing Technologies ◽

Manufacturing Sectors ◽

Manufacturing Technologies ◽

Cloud Technologies

In the fourth industrial revolution, one of the major driving force is cloud computing which helps in integration of cloud concepts in manufacturing sectors. Most of the high-end factories have started to adopt industrial automation by incorporating smart manufacturing technologies by incorporating cloud technologies, artificial intelligence, internet of things, big data analytics, cyber physical systems, and several other advanced manufacturing technologies. But, most of the SMEs across countries have not been standardized using such new technologies. This chapter discusses on a scheduling model using grey wolf optimization (GWO) for integrating all SMEs on to Cloud, such that proper decision support can be made for effective resource selection and job completion can be provided to the end users dynamically without any flaws.

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Implementation of Industry 4.0 Revolution through Skill Development– A Blessing for Local for Vocal in Covid-19 Pandemic

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.g9058.0510721 ◽

2021 ◽

Vol 10 (7) ◽

pp. 158-169

Author(s):

Amlan Das*

Keyword(s):

Internet Of Things ◽

Industry 4.0 ◽

Industrial Revolution ◽

Skill Development ◽

Smart Manufacturing ◽

Cognitive Computing ◽

Manufacturing Plants ◽

Industrial Internet ◽

Smart Factories ◽

The Internet Of Things

We are amidst a noteworthy change with respect to the manner in which we make items, because of the digitization of assembling. This change is convincing to the point that it is being called Industry 4.0 to speak to the fourth insurgency that has happened in assembling. Industry 4.0 is flagging an adjustment in the conventional assembling scene. Otherwise called the Fourth Industrial Revolution, Industry 4.0 envelops three mechanical patterns driving this change: network, insight and adaptable robotization. Industry 4.0 portrays the developing pattern towards computerization and information trade in innovation and cycles inside the assembling business, including: The Internet of Things (IoT), The Industrial Internet of Things (IIoT), Cyber-physical Systems (CPS), Smart Manufacturing, Smart Factories, Cloud Computing, Additive Manufacturing, Big Data, Robotics, Cognitive Computing, Artificial Intelligence and Block chain and so forth. This mechanization makes an assembling framework whereby the machines in manufacturing plants are increased with remote network and sensors to screen and picture a whole creation cycle and settle on independent choices. In this paper we are worry about how aptitude and ability of human asset can be grown with the goal that we can conquer this pandemic circumstance effectively. Delicate abilities for taking care of these forthcoming new innovation inserted framework must be taken consideration and carefully instilled by human asset with the goal that simple smooth of efficiency just as hole crossing over of flexibly and request can be conceivable. Skill development should be considered as prioritizing factor for this.

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A Review of 4IR/5IR Enabling Technologies and Their Linkage to Manufacturing Supply Chain

Technologies ◽

10.3390/technologies9040077 ◽

2021 ◽

Vol 9 (4) ◽

pp. 77

Author(s):

Mokesioluwa Fanoro ◽

Mladen Božanić ◽

Saurabh Sinha

Keyword(s):

Supply Chain ◽

Industrial Revolution ◽

Smart Manufacturing ◽

Enabling Technology ◽

Fourth Industrial Revolution ◽

Enabling Technologies ◽

Theoretical Synthesis ◽

Manufacturing Supply Chain ◽

Traditional Manufacturing ◽

Manufacturing Technologies

Over the last decade, manufacturing processes have undergone significant change. Most factory activities have been transformed through a set of features built into a smart manufacturing framework. The tools brought to bear by the fourth industrial revolution are critical enablers of such change and progress. This review article describes the series of industrial revolutions and explores traditional manufacturing before presenting various enabling technologies. Insights are offered regarding traditional manufacturing lines where some enabling technologies have been included. The manufacturing supply chain is envisaged as enhancing the enabling technologies of Industry 4.0 through their integration. A systematic literature review is undertaken to evaluate each enabling technology and the manufacturing supply chain and to provide some theoretical synthesis. Similarly, obstacles are listed that must be overcome before a complete shift to smart manufacturing is possible. A brief discussion maps out how the fourth industrial revolution has led to novel manufacturing technologies. Likewise, a review of the fifth industrial revolution is given, and the justification for this development is presented.

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Assessment Framework of Smart Shipyard Maturity Level via Data Envelopment Analysis

Sustainability ◽

10.3390/su13041964 ◽

2021 ◽

Vol 13 (4) ◽

pp. 1964

Author(s):

Jong Hun Woo ◽

Haoyu Zhu ◽

Dong Kun Lee ◽

Hyun Chung ◽

Yongkuk Jeong

Keyword(s):

Data Envelopment Analysis ◽

Industrial Revolution ◽

New Technologies ◽

Smart Manufacturing ◽

Data Envelopment ◽

Maturity Level ◽

Productivity Improvement ◽

Shipbuilding Industry ◽

Wide Range ◽

Smart Factories

The fourth industrial revolution (“Industry 4.0”) has caused an escalating need for smart technologies in manufacturing industries. Companies are examining various cutting-edge technologies to realize smart manufacturing and construct smart factories and are devoting efforts to improve their maturity level. However, productivity improvement is rarely achieved because of the large variety of new technologies and their wide range of applications; thus, elaborately setting improvement goals and plans are seldom accomplished. Fortunately, many researchers have presented guidelines for diagnosing the smartness maturity level and systematic directions to improve it, for the eventual improvement of productivity. However, most research has focused on mass production industries wherein the overall smartness maturity level is already high (e.g., high-level automation). These studies thus have limited applicability to the shipbuilding industry, which is basically a built-to-order industry. In this study, through a technical demand survey of the shipbuilding industry and an investigation of existing smart manufacturing and smart factories, the keywords of connectivity, automation, and intelligence were derived and based on these keywords, we developed a new diagnostic framework for smart shipyard maturity level assessment. The framework was applied to eight shipyards in South Korea to diagnose their smartness maturity level, and a data envelopment analysis (DEA) was performed to confirm the usefulness of the diagnosis results. By comparing the DEA models, the results with the smart level as an input represents the actual efficiency of shipyards better than the results of conventional models.

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An Integrated Legacy of Modbus Devices to Industrial Internet of Things: Approach for Smart Industries

10.31219/osf.io/54tje ◽

2020 ◽

Author(s):

Karthik Muthineni

Keyword(s):

Internet Of Things ◽

Industrial Revolution ◽

Digital Technologies ◽

Industrial Internet Of Things ◽

Intelligent Decision Making ◽

Internet Of Everything ◽

Industrial Internet ◽

Intelligent Decision ◽

Network Platform ◽

Smart Factories

The new industrial revolution Industry 4.0, connecting manufacturing process with digital technologies that can communicate, analyze, and use information for intelligent decision making includes Industrial Internet of Things (IIoT) to help manufactures and consumers for efficient controlling and monitoring. This work presents the design and implementation of an IIoT ecosystem for smart factories. The design is based on Siemens Simatic IoT2040, an intelligent industrial gateway that is connected to modbus sensors publishing data onto Network Platform for Internet of Everything (NETPIE). The design demonstrates the capabilities of Simatic IoT2040 by taking Python, Node-Red, and Mosca into account that works simultaneously on the device.

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Connectivity as a Design Feature for Industry 4.0 Production Equipment: Application for the Development of an In-Line Metrology System

Applied Sciences ◽

10.3390/app11031312 ◽

2021 ◽

Vol 11 (3) ◽

pp. 1312

Author(s):

Ana Pamela Castro-Martin ◽

Horacio Ahuett-Garza ◽

Darío Guamán-Lozada ◽

Maria F. Márquez-Alderete ◽

Pedro D. Urbina Coronado ◽

...

Keyword(s):

Industry 4.0 ◽

Design Feature ◽

Production Equipment ◽

Smart Manufacturing ◽

Process Data ◽

Industrial Sectors ◽

Advanced Manufacturing Technologies ◽

Manufacturing Technologies ◽

Equipment Application ◽

The Impact

Industry 4.0 (I4.0) is built upon the capabilities of Internet of Things technologies that facilitate the recollection and processing of data. Originally conceived to improve the performance of manufacturing facilities, the field of application for I4.0 has expanded to reach most industrial sectors. To make the best use of the capabilities of I4.0, machine architectures and design paradigms have had to evolve. This is particularly important as the development of certain advanced manufacturing technologies has been passed from large companies to their subsidiaries and suppliers from around the world. This work discusses how design methodologies, such as those based on functional analysis, can incorporate new functions to enhance the architecture of machines. In particular, the article discusses how connectivity facilitates the development of smart manufacturing capabilities through the incorporation of I4.0 principles and resources that in turn improve the computing capacity available to machine controls and edge devices. These concepts are applied to the development of an in-line metrology station for automotive components. The impact on the design of the machine, particularly on the conception of the control, is analyzed. The resulting machine architecture allows for measurement of critical features of all parts as they are processed at the manufacturing floor, a critical operation in smart factories. Finally, this article discusses how the I4.0 infrastructure can be used to collect and process data to obtain useful information about the process.

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