Development of Product Quality with Enhanced Productivity in Industry 4.0 with AI Driven Automation and Robotic Technology

Lal, Bechoo; N, Vishnu Sakravarthy; Kumar, Marrapu Aswini; Chinthamu, Narender; Pokhriyal, Sumit

doi:10.1109/icaiss58487.2023.10250736

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…It facilitates the understanding of decision-making processes by data scientists and other stakeholders, which is crucial for trust, accountability, and compliance. Model behaviour is shown using XAI approaches including feature importance, decision trees, and local interpretable model-agnostic explanations (LIME) [16].…”

Section: Xai: How Useful In Data Science and Industry 50 Applicationsmentioning

confidence: 99%

Frontiers of Artificial Intelligence Versus Generative, Explainable and Quantum Technologies: An Overview

2024

OAJDA

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Generative AI can produce content that is similar to human ingenuity, revolutionizing a number of industries with lifelike outputs like music and images. Misinformation and intellectual property rights give rise to ethical concerns. Notwithstanding these difficulties, generative AI has the potential to spur additional innovation in a variety of sectors, subject to moral issues. The goal of explainable AI (XAI) is to improve AI systems’ accountability and transparency, which is essential for their inclusion into industries like banking and healthcare. However, in order to effectively explain complicated AI systems, strong XAI techniques are required. Quantum artificial intelligence (QAI) promises improvements in cryptography and optimization by using quantum physics to speed up AI systems. However, there are still difficulties in creating practical quantum computers and improving quantum AI algorithms. The present overview provides new insights into developing a platform to explore AI in various arenas of life sciences and technologies and social up-gradation.

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Section: Xai: How Useful In Data Science and Industry 50 Applicationsmentioning

confidence: 99%

Frontiers of Artificial Intelligence Versus Generative, Explainable and Quantum Technologies: An Overview

2024

OAJDA

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Enhancing Manufacturing Efficiency: A New Robotic Arm Design for Injection Molding with Improved Adaptability and Precision

MERVEILLE,

jile,

Fred

2024

Preprint

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This study presents a state-of-the-art robotic arm system developed to improve the selection and packaging procedures in assembly lines for injection moulding machines. The system tackles significant industrial difficulties, including labour intensity and high error rates, by integrating a six-degree-of-freedom robotic arm outfitted with versatile end effectors. An outstanding feature of this design is the humanoid hand, which has been carefully constructed to be easily replaced with a vacuum, pince or other specific tools, depending on the needs of the task. The robotic system was created with AutoCAD, Fusion 360, and SolidWorks, guaranteeing accuracy and flexibility. This adaptability enables various uses, greatly enhancing operational effectiveness and product excellence while minimizing the need for manual work. The findings illustrate the capacity of this robotic system to be deployed in many production industries, emphasizing its flexibility and expandability.

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Project Model Standardization with Dual DSP COD

Križaić

2024

Digital Project Management - Strategic Theory and Practice [Working Title]

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The digital ICT revolution, with the new applications BIM, DT and AI package tools, reaches the organizational processes after the design and technology processes. That is, the management of business systems with complex processes is essential for ongoing projects to improve economic principles as components of the business system. With the advent of ISO standardization, companies are standardizing business communication flows to improve processes and facilitate the work of managers during idle periods. However, it has been found that the transition from the previous manual static technology to software does not bring about a significant change in business performance. Therefore, the recommendation is to change the model of the organizational structure with mathematical modeling to a dynamic vector organization, which is upgraded to a process system as a by-product of the computerization of the project production economy. By adding the matrix structure of the project organization and the function in addition to the process, a fourth resource dimension is added. This results in an nD vector organization system that enables a “daily monitoring” system, i.e., daily management of the business system. But even this method of ICT technology proves to be insufficient in the old costing or tendering system. Therefore, for mathematical modeling, the dynamic structure programming (DSP) method is proposed, which creates a model standardization of the bill of quantities, bid constructions, and standards as elements of the project. Križaić’s DSP method is a logical induction equation that, in cooperation with vector norms and a modified Gaussian S-curve equation (MGSC), creates a digital twin (DT) for a business system for monitoring project resources. With the upgrade to BIM and DT tools, it is possible to close the loop of the business system and create an AI system for project management, which in turn creates an intelligent manager and an organizational differential (OD).

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Development of Product Quality with Enhanced Productivity in Industry 4.0 with AI Driven Automation and Robotic Technology

Cited by 3 publications

References 19 publications

Frontiers of Artificial Intelligence Versus Generative, Explainable and Quantum Technologies: An Overview

Frontiers of Artificial Intelligence Versus Generative, Explainable and Quantum Technologies: An Overview

Enhancing Manufacturing Efficiency: A New Robotic Arm Design for Injection Molding with Improved Adaptability and Precision

Project Model Standardization with Dual DSP COD

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