New Generation Artificial Intelligence-Driven Intelligent Manufacturing (NGAIIM)

Li, Bohu; Chai, Xudong; Hou, Baocun; Zhang, Lin; Zhou, Jiehan; Liu, Yang

doi:10.1109/smartworld.2018.00313

Cited by 16 publications

(9 citation statements)

References 16 publications

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“…Despite such challenges, recent advances have been made in interoperability standards for cloud-based environments. Some examples are the interoperable cloud-based manufacturing system [ 171 ], the hybrid manufacturing cloud framework [ 172 ], and the new generation artificial intelligence-driven intelligent manufacturing architecture [ 173 ].…”

Section: Discussionmentioning

confidence: 99%

A Taxonomy of Food Supply Chain Problems from a Computational Intelligence Perspective

Angarita-Zapata

Alonso-Vicario

Masegosa

et al. 2021

Sensors

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In the last few years, the Internet of Things, and other enabling technologies, have been progressively used for digitizing Food Supply Chains (FSC). These and other digitalization-enabling technologies are generating a massive amount of data with enormous potential to manage supply chains more efficiently and sustainably. Nevertheless, the intricate patterns and complexity embedded in large volumes of data present a challenge for systematic human expert analysis. In such a data-driven context, Computational Intelligence (CI) has achieved significant momentum to analyze, mine, and extract the underlying data information, or solve complex optimization problems, striking a balance between productive efficiency and sustainability of food supply systems. Although some recent studies have sorted the CI literature in this field, they are mainly oriented towards a single family of CI methods (a group of methods that share common characteristics) and review their application in specific FSC stages. As such, there is a gap in identifying and classifying FSC problems from a broader perspective, encompassing the various families of CI methods that can be applied in different stages (from production to retailing) and identifying the problems that arise in these stages from a CI perspective. This paper presents a new and comprehensive taxonomy of FSC problems (associated with agriculture, fish farming, and livestock) from a CI approach; that is, it defines FSC problems (from production to retail) and categorizes them based on how they can be modeled from a CI point of view. Furthermore, we review the CI approaches that are more commonly used in each stage of the FSC and in their corresponding categories of problems. We also introduce a set of guidelines to help FSC researchers and practitioners to decide on suitable families of methods when addressing any particular problems they might encounter. Finally, based on the proposed taxonomy, we identify and discuss challenges and research opportunities that the community should explore to enhance the contributions that CI can bring to the digitization of the FSC.

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Section: Discussionmentioning

confidence: 99%

A Taxonomy of Food Supply Chain Problems from a Computational Intelligence Perspective

Angarita-Zapata

Alonso-Vicario

Masegosa

et al. 2021

Sensors

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“…Cloud manufacturing provides a new model and means for China to move from a manufacturing outsourcer to a manufacturing driver. The initiative was jointly supported by more than 300 researchers and developers from 28 organizations of universities, research institutes and enterprises across the country, and achieved a number of pioneering research results [9,10].…”

Section: Cloud Manufacturingmentioning

confidence: 99%

Development and Practice of Industrie 4.0 in China—Practical Experience of a German Industrial Software Company in China

Lee¹,

Roesinger²,

Hommel³

2022

Sci

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Industrie 4.0 has stirred turbulences in China since its birth in 2011. The struggles of the Chinese manufacturing enterprises towards realizing and adapting Industrie 4.0 in their production processes have given us many new perceptions. These insights and findings can in turn serve as inputs for academics and policy makers to structure or fine tune the development of the next generation of Industrie 4.0. The authors of this paper summarize the knowledge and understandings from their personal engagement assisting the Chinese manufacturing enterprises with digitalization in their production processes. A real-life example shows how a typical Chinese mid-size manufacturing enterprise ended up with new business models when they started out the digitalization journey with a simple goal to increase efficiency. We conclude that the Chinese market will continue to be relevant for the future development of Industrie 4.0.

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“…The new generation artificial intelligence (NGAI) is evolving from simulating human intelligence to assist human intelligence through the interconnection of machines, people, and the Internet [19]. NGAI has the following major characteristics: Big data-fueled, Cross-media, Web-based group artificial intelligence, and Hybrid human-machine synergized artificial intelligence.…”

Section: Related Workmentioning

confidence: 99%

An Industrial Internet Platform for Massive Pig Farming (IIP4MPF)

Gu¹,

Hou²,

Zhou³

et al. 2020

JCC

Self Cite

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Pig farming is becoming a key industry of China's rural economy in recent years. The current pig farming is still relatively manual, lack of latest Information and Communication Technology (ICT) and scientific management methods. This paper proposes an industrial internet platform for massive pig farming, namely, IIP4MPF, which aims to leverage intelligent pig breeding, production rate and labor productivity with the use of artificial intelligence, the Internet of Things, and big data intelligence. We conducted requirement analysis for IIP4MPF using software engineering methods, designed the IIP4MPF system for an integrated solution to digital, interconnected, intelligent pig farming. The practice demonstrates that the IIP4MPF platform significantly improves pig farming industry in pig breeding and productivity.

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New Generation Artificial Intelligence-Driven Intelligent Manufacturing (NGAIIM)

Cited by 16 publications

References 16 publications

A Taxonomy of Food Supply Chain Problems from a Computational Intelligence Perspective

A Taxonomy of Food Supply Chain Problems from a Computational Intelligence Perspective

Development and Practice of Industrie 4.0 in China—Practical Experience of a German Industrial Software Company in China

An Industrial Internet Platform for Massive Pig Farming (IIP4MPF)

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