A Review of Mechanization and Automation in Malaysia’s Pineapple Production

This work reviews the current state of the art for pineapple production in Malaysia from the perspective of mechanization and automation. It examines the issues and challenges facing this industry. The review has led us to the conclusion that pineapple production still relies heavily on manual labour. The problems facing this industry is no different than other food crops in that low yield labour and high cost are the primary issues that need to be tackled. Although numerous engineering research work to overcome production issues has been done for crops such as rice and maize, engineering research for pineapples has been scarce. The lack of engineering research literature on this crop presents an opportunity for the scientific community to invest effort in this relatively untapped industry. This work further proposes areas where the use of Industry 4.0 technologies can be exploited in order to increase productivity and reduce input costs. Cyber-physical systems that could address issues in planting, crop maintenance and harvesting are put forth as a possible solution.

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Industry 4.0 Applications for Medical/Healthcare Services

Journal of Sensor and Actuator Networks ◽

10.3390/jsan10030043 ◽

2021 ◽

Vol 10 (3) ◽

pp. 43

Author(s):

Shuva Paul ◽

Muhtasim Riffat ◽

Abrar Yasir ◽

Mir Nusrat Mahim ◽

Bushra Yasmin Sharnali ◽

...

Keyword(s):

Industry 4.0 ◽

Data Analytics ◽

Industrial Revolution ◽

State Of The Art ◽

Big Data Analytics ◽

Healthcare Services ◽

Cyber Physical Systems ◽

Physical Systems ◽

Start Ups ◽

Medical Healthcare

At present, the whole world is transitioning to the fourth industrial revolution, or Industry 4.0, representing the transition to digital, fully automated environments, and cyber-physical systems. Industry 4.0 comprises many different technologies and innovations, which are being implemented in many different sectors. In this review, we focus on the healthcare or medical domain, where healthcare is being revolutionized. The whole ecosystem is moving towards Healthcare 4.0, through the application of Industry 4.0 methodologies. Many technical and innovative approaches have had an impact on moving the sector towards the 4.0 paradigm. We focus on such technologies, including Internet of Things, Big Data Analytics, blockchain, Cloud Computing, and Artificial Intelligence, implemented in Healthcare 4.0. In this review, we analyze and identify how their applications function, the currently available state-of-the-art technologies, solutions to current challenges, and innovative start-ups that have impacted healthcare, with regards to the Industry 4.0 paradigm.

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Study and Analysis of the Implementation of 4.0 Technologies in the Agri-Food Supply Chain: A State of the Art

Agronomy ◽

10.3390/agronomy11122526 ◽

2021 ◽

Vol 11 (12) ◽

pp. 2526

Author(s):

Paula Morella ◽

María Pilar Lambán ◽

Jesús Royo ◽

Juan Carlos Sánchez

Keyword(s):

Supply Chain ◽

Performance Indicators ◽

Food Supply ◽

Industry 4.0 ◽

State Of The Art ◽

Cyber Physical Systems ◽

Food Supply Chain ◽

Industrial Environment ◽

Physical Systems ◽

Lack Of Information

Industry 4.0 is changing the industrial environment. Particularly, the emerging Industry 4.0 technologies can improve the agri-food supply chain throughout all its stages. This study aims to highlight the benefits of implementing Industry 4.0 in the agri-food supply chain. First, it presents how technologies enhance the agri-food supply chain development. Then, it identifies and highlights the most common challenges that Industry 4.0 implementation faces in agri-food’s environment. After that, it proposes key performance indicators to measure the advantages of this implementation. To achieve this, a systematic literature review was conducted. It combined conceptual and bibliometric analyses of 78 papers. As a result, the most suitable technologies were identified, e.g., Internet of Things, Big Data, blockchain and cyber physical systems. The most used indicators are proposed and the challenges of implementation were detected and classified in three groups, i.e., technical, educational and governmental. This paper highlights and exemplifies the benefits of implementing Industry 4.0 facing the lack of knowledge that exists nowadays. Moreover, it fulfils the gaps in literature, i.e., the lack of information about the implementation of technologies 4.0 or the description of the most relevant indicators for Industry 4.0 implementation.

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Theoretical foundations and applications of cyber-physical systems: a literature review

Library Hi Tech ◽

10.1108/lht-11-2017-0230 ◽

2019 ◽

Vol 38 (1) ◽

pp. 95-104 ◽

Cited By ~ 2

Author(s):

Caiming Zhang ◽

Xiaojun Xu ◽

Hong Chen

Keyword(s):

Literature Review ◽

Design Methodology ◽

Review Paper ◽

State Of The Art ◽

Cyber Physical Systems ◽

Comprehensive Overview ◽

Content Type ◽

Physical Systems ◽

Current State ◽

Theoretical Foundations

Purpose The purpose of this paper is to review the current research on theoretical foundations and applications for CPS from 2017 to 2019 including the applications in library. Design/methodology/approach This paper is designed in six parts as Introduction, Literature review, Theoretical foundations of CPS, Applications of CPS, CPS’s application in library and Conclusion. The authors review 70 papers and classify them as the above six parts. The authors collected 70 papers from 2017 to 2019 in the academic databases. Findings This paper reviews 70 papers regarding theoretical foundations and applications for CPS from 2017 to 2019 in the academic databases aiming to provide scholars and practitioners with a comprehensive overview. The contents of the papers in each research category are summarized from theoretical foundations and applications including the CPS applications in library. Originality/value A main contribution of this review paper is that it summarizes the current state-of-the-art theoretical foundations and applications for CPS and in libraries systematically.

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Cyber-Physical Systems, Internet of Things, and Big Data in Industry 4.0: Digital Manufacturing Technologies, Business Process Optimization, and Sustainable Organizational Performance

Economics Management and Financial Markets ◽

10.22381/emfm14320193 ◽

2019 ◽

Vol 14 (3) ◽

pp. 23

Keyword(s):

Big Data ◽

Internet Of Things ◽

Organizational Performance ◽

Process Optimization ◽

Industry 4.0 ◽

Cyber Physical Systems ◽

Digital Manufacturing ◽

Physical Systems ◽

Manufacturing Technologies ◽

Business Process Optimization

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The challenges, approaches, and used techniques of CPS for manufacturing in Industry 4.0: a literature review

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-020-06572-4 ◽

2021 ◽

Vol 113 (7-8) ◽

pp. 2395-2412

Author(s):

Baudouin Dafflon ◽

Nejib Moalla ◽

Yacine Ouzrout

Keyword(s):

Internet Of Things ◽

Industry 4.0 ◽

Cyber Physical Systems ◽

Review Literature ◽

Comprehensive Understanding ◽

Physical Systems ◽

Fine Grained ◽

Key Technologies ◽

Granularity Level ◽

Human Component

AbstractThis work aims to review literature related to the latest cyber-physical systems (CPS) for manufacturing in the revolutionary Industry 4.0 for a comprehensive understanding of the challenges, approaches, and used techniques in this domain. Different published studies on CPS for manufacturing in Industry 4.0 paradigms through 2010 to 2019 were searched and summarized. We, then, analyzed the studies at a different granularity level inspecting the title, abstract, and full text to include in the prospective study list. Out of 626 primarily extracted relevant articles, we scrutinized 78 articles as the prospective studies on CPS for manufacturing in Industry 4.0. First, we analyzed the articles’ context to identify the major components along with their associated fine-grained constituents of Industry 4.0. Then, we reviewed different studies through a number of synthesized matrices to narrate the challenges, approaches, and used techniques as the key-enablers of the CPS for manufacturing in Industry 4.0. Although the key technologies of Industry 4.0 are the CPS, Internet of Things (IoT), and Internet of Services (IoS), the human component (HC), cyber component (CC), physical component (PC), and their HC-CC, CC-PC, and HC-PC interfaces need to be standardized to achieve the success of Industry 4.0.

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Artificial Intelligence and the Internet of Things in Industry 4.0

CCF Transactions on Pervasive Computing and Interaction ◽

10.1007/s42486-021-00057-3 ◽

2021 ◽

Author(s):

Petar Radanliev ◽

David De Roure ◽

Razvan Nicolescu ◽

Michael Huth ◽

Omar Santos

Keyword(s):

Artificial Intelligence ◽

Internet Of Things ◽

Industry 4.0 ◽

Cyber Physical Systems ◽

Physical Systems ◽

Leading Industry ◽

Key Technologies ◽

The Internet Of Things ◽

State Of Art ◽

Social Level

AbstractThis paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspective. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic classifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.

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Reliable Industry 4.0 Based on Machine Learning and IoT for Analyzing, Monitoring, and Securing Smart Meters

Sensors ◽

10.3390/s21020487 ◽

2021 ◽

Vol 21 (2) ◽

pp. 487 ◽

Cited By ~ 2

Author(s):

Mahmoud Elsisi ◽

Karar Mahmoud ◽

Matti Lehtonen ◽

Mohamed M. F. Darwish

Keyword(s):

Machine Learning ◽

Smart Grids ◽

Industry 4.0 ◽

Learning Algorithm ◽

Cyber Physical Systems ◽

The Internet ◽

Smart Meters ◽

Industrial Environment ◽

Physical Systems ◽

Smart Machines

The modern control infrastructure that manages and monitors the communication between the smart machines represents the most effective way to increase the efficiency of the industrial environment, such as smart grids. The cyber-physical systems utilize the embedded software and internet to connect and control the smart machines that are addressed by the internet of things (IoT). These cyber-physical systems are the basis of the fourth industrial revolution which is indexed by industry 4.0. In particular, industry 4.0 relies heavily on the IoT and smart sensors such as smart energy meters. The reliability and security represent the main challenges that face the industry 4.0 implementation. This paper introduces a new infrastructure based on machine learning to analyze and monitor the output data of the smart meters to investigate if this data is real data or fake. The fake data are due to the hacking and the inefficient meters. The industrial environment affects the efficiency of the meters by temperature, humidity, and noise signals. Furthermore, the proposed infrastructure validates the amount of data loss via communication channels and the internet connection. The decision tree is utilized as an effective machine learning algorithm to carry out both regression and classification for the meters’ data. The data monitoring is carried based on the industrial digital twins’ platform. The proposed infrastructure results provide a reliable and effective industrial decision that enhances the investments in industry 4.0.

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Introducing Gamification in the AR-Enhanced Order Picking Process: A Proposed Approach

Logistics ◽

10.3390/logistics5010014 ◽

2021 ◽

Vol 5 (1) ◽

pp. 14

Author(s):

Athina G. Bright ◽

Stavros T. Ponis

Keyword(s):

Industry 4.0 ◽

Business Processes ◽

Cyber Physical Systems ◽

Order Picking ◽

Physical Systems ◽

The Core ◽

Complex Process ◽

Core Elements ◽

Game Elements ◽

Innovative Industry

In the last decade, the Industry 4.0 concept has introduced automation and cyber-physical systems as the core elements of future logistics, supported by an array of technologies, such as augmented reality (AR) providing the necessary support for the digital transformation of manufacturing and logistics and the smartification and digital refinement of traditional pre-Industry 4.0 processes. This paper studies the influence and the potential of gamification techniques in supporting innovative Industry 4.0-enhanced processes in the contemporary warehouse work ecosystem. Gamification in the workplace aims to motivate the employees and increase their involvement in an activity, while at the same time creating a sense of an everyday different experience rather than a set of repetitive and monotonous tasks. Since the design of such a system is a complex process, the most widespread design frameworks are studied, and the emphasis is on the principal game elements and their connection to mobilization mechanisms. Finally, an initial proposal of a gamification framework to support the AR-enhanced order picking process in contemporary logistics centers is provided with an emphasis on the mechanics of a fair and functional reward system. The proposed approach aims to showcase the potential alignment of business processes to human motivation, respecting the differences between tasks and the workers’ cognitive workload.

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