An Advanced Cyber Physical Framework for Micro Devices Assembly

Cecil, J.; Albuhamood, Sadiq; Cecil-Xavier, Aaron; Ramanathan, Parameswaran

doi:10.1109/tsmc.2017.2733542

Cited by 26 publications

(18 citation statements)

References 90 publications

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“…"Cyber-physical systems" (CPS) is another commonly-used phrase. CPS comprises physical infrastructure integrated with modern computational and analytics frameworks [22] [23]. Cyber-physical systems have been successfully applied in several domains like energy consumption, industrial automation, medical equipment, advanced military technology, among other domains [22][7][24] [25].…”

Section: Text Analysis Reviewmentioning

confidence: 99%

Leveraging IoT towards Sustainable Manufacturing Applications Based on Text Analytics

Ahmad¹

2020

IJATCSE

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Latest advancements in the Internet of Things (IoT) setup and the advent of the sensing technology have generated an integrated information data which could be employed for enhancing the manufacturing sector. The blend of cyber-physical systems and intelligent data analytics is playing a key part in product management as well as factory transformation. The advanced analytics technique for data purposes could facilitate self-awareness and self-maintenance of factory machines. In this case, self-awareness for a mechanical structure pertains to the ability to evaluate the machine's present and historical condition and deploy available information for responding to its condition. The machine's well-being can be ascertained by employing the data analytic technique centred on the gathered information or data from the machine and surrounding environment. The data-propelled decision-making process can provide feedback to the machine controller for effectual and adaptive control and to machine owners for the in-time upkeep. This paper discusses the application of data and text analytic methodology in an orderly literature review of papers pertaining to the deployment of IoT methodology in the production sector. The chosen papers are exposed to content evaluation and grouped as per the modern technologies and functions. The research espoused determines trends of IoT deployment in the production sector and notes that text analytic is an effectual technique for carrying out an orderly literature review.

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Section: Text Analysis Reviewmentioning

confidence: 99%

Leveraging IoT towards Sustainable Manufacturing Applications Based on Text Analytics

Ahmad¹

2020

IJATCSE

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“…The specific input-output formulation of the model based predictive control used in this study allows to directly plug into the process variables. The physical processes studied here are three multivariable systems with significantly different dynamics, of which two are derived from listed relevant CPS applications [37]. A comparison between the fully optimized process performance and computational time is given against the proposed multi-objective prioritized optimization algorithm.…”

Section: Introductionmentioning

confidence: 99%

A Low Computational Cost, Prioritized, Multi-Objective Optimization Procedure for Predictive Control Towards Cyber Physical Systems

et al. 2020

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Cyber physical systems consist of heterogeneous elements with multiple dynamic features. Consequently, multiple objectives in the optimality of the overall system may be relevant at various times or during certain context conditions. Low cost, efficient implementations of such multi-objective optimization procedures are necessary when dealing with complex systems with interactions. This work proposes a sequential implementation of a multi-objective optimization procedure suitable for industrial settings and cyber physical systems with strong interaction dynamics. The methodology is used in the context of an Extended Prediction self-adaptive Control (EPSAC) strategy with prioritized objectives. The analysis indicates that the proposed algorithm is significantly lighter in terms of computational time. The combination with an input-output formulation for predictive control makes these algorithms suitable for implementation with standardized process control units. Three simulation examples from different application fields indicate the relevance and feasibility of the proposed algorithm.INDEX TERMS priority objectives, multi-objective optimization, model predictive control, steam power plant, unmanned aerial vehicle, drug regulatory network, interaction, safety.

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“…can collaborate with similar entities across the Internet. IoT alongside CPS can provide support to handle assembly system complexity, increase information visibility and improve production performance [6], [7].…”

Section: Introductionmentioning

confidence: 99%

“…Wireless information networks integrated with radio frequency identification (RFID) and auto ID sensors have been developed to collect and synchronize real-time data for walking-workers and track moving objects in a flexible assembly line [19]- [21]. Cecil et al [7] developed an Internet of Things (IoT) based cyber-physical framework in the field of micro-device assembly. The framework uses cyber modules that can perform assembly planning, path planning, virtual reality-based assembly simulation and physical command generation.…”

Section: Introductionmentioning

confidence: 99%

An IoT-Based Cyber-Physical Framework for Turbine Assembly Systems

Wang

Zhang

2020

IEEE Access

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Turbines are typical engineering-to-order products which can be highly customized. This paper considers the final assembly control under uncertainty in turbine assembly workstations. A cyber-physical framework based on Internet of Things (IoT) is proposed for the turbine assembly, which consists of physical components, cyber components and an IoT-based monitoring system. The IoT-based monitoring modules capture real-time data of the physical components, including the workers, tools, parts and the actual assembly process. These cyber modules can generate the original scheduling for the assembly tasks, re-sequence the assembly tasks, reassign the workers and control the logistics when an unexpected event occurs. Physical activities are undertaken in a turbine assembly workstation based on assembly instructions and guidance from the cyber components. The proposed framework can be implemented in the large turbine assembly system, which can facilitate real-time information driven assembly process monitoring and collaborative control of the task sequence, the worker assignments and logistics in a closed-loop environment. The experimental results show that our method can significantly improve the quality and the efficiency of a turbine assembly system. INDEX TERMS Internet of Things, cyber-physical systems, engineering-to-order, production control, assembly process.

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An Advanced Cyber Physical Framework for Micro Devices Assembly

Cited by 26 publications

References 90 publications

Leveraging IoT towards Sustainable Manufacturing Applications Based on Text Analytics

Leveraging IoT towards Sustainable Manufacturing Applications Based on Text Analytics

A Low Computational Cost, Prioritized, Multi-Objective Optimization Procedure for Predictive Control Towards Cyber Physical Systems

An IoT-Based Cyber-Physical Framework for Turbine Assembly Systems

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