A Cell Management System to Support Robotic Assembly

Mohamed, Saiful Bahri; Petty, David; Harrison, David K.; Rigby, Robert A.

doi:10.1007/s001700170037

Cited by 13 publications

(6 citation statements)

References 13 publications

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“…Under these circumstances, the manufacturing industries urgently need to track rapid evolving markets, realize varying customer needs, and manage increased labor costs (Mohamed et al, 2001). Consequently, reconfigurable manufacturing systems (RMS) were introduced to fabrication industries during the 90s in the previous century.…”

Section: Introductionmentioning

confidence: 99%

A cloud integrated strategy for reconfigurable manufacturing systems

Lee

Lin

2020

Concurrent Engineering

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Manufacturing industries nowadays need to reconfigure their production lines promptly as to acclimate to rapid changing markets. Meanwhile, exercising system reconfigurations also needs to manage innumerous types of manufacturing apparatus involved. Nevertheless, traditional incompatible manufacturing systems delivered by exclusive vendors usually increase manufacture costs and prolong development time. This paper presents a novel RMS framework, which is intended to implement a Redis master/slave server mechanism to integrate various CNC manufacturing apparatus, hardware control means, and data exchange protocols through developed configurating codes. In the RMS framework each manufacturing apparatus or accessory stands for an object, and information of recognized CNC control panel image features, associated apparatus tuned parameters, communication formats, operation procedures, and control APIs, are stored into the Redis master cloud server database. Through implementation of machine vision techniques to acquire CNC controller panel images, the system effectively identifies instantaneous CNC machining states and response messages once the embedded image features are recognized. Upon demanding system reconfigurations for the manufacturing resources, the system issues commands from Redis local client servers to retrieve the stored information in the Redis master cloud servers, in which the resources for registered CNC machines, robots, and built-in accessories are maintained securely. The system then exploits the collected information locally to reconfigure involved manufacturing resources and starts manufacturing immediately, and thus is capable to promptly response to fast revised orders in a comitative market. In a prototyped RMS architecture, the proposed approach takes advantage of recognized feedback visual information, which is obtained using an invariant image feature extraction algorithm, and effectively commands an industrial robot to accomplish demanded actions on a CNC control panel, as a regular operator does daily in front of the CNC machine for manufacturing.

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Section: Introductionmentioning

confidence: 99%

A cloud integrated strategy for reconfigurable manufacturing systems

Lee

Lin

2020

Concurrent Engineering

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“…The design of RFACs with more than one robot offer many advantages over single robot. For example, effi ciency due to a reducing work environment (Mohamed et al, 2001), increased robustness to assemble a variety of products using the same resources (Marian et al, 2003), and additional fl exibility due to superior ease of modifi cation and reconfi guring (Makino, 1989). Accordingly, employing multi-robots in the RFACs offers the advantages of increased productivity in a shorter cycle time with lower production costs (Xidias et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

A fuzzy decision support system for selecting the optimal scheduling rule in robotic flexible assembly cells

Abd¹,

Abhary²,

Marian³

2013

AJMDE

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The aim of this paper is to present a proposed methodology to select optimal scheduling rule for robotic fl exible assembly cells based fuzzy decision support system. Six common scheduling rules are considered, and three independent objectives, namely, the minimising of makespan (C max ), total tardiness (TD) and percentage of tardy jobs (%T) are measured. A fuzzy decision support system is implemented using the Matlab fuzzy toolbox. The fi nal results demonstrate the effectiveness of the proposed methodology to select optimal scheduling rule in a multi-product assembly environment.

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“…One class of such systems is called Robotic Flexible Assembly Cells (RFACs). RFACs is an integrated system, includes at least two of robotic assembly stations linked by an automated material handling system, all controlled by a central computer (Mohamed et al, 2001;Nof and Chen, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…For example, efficiency due to a reduced work environment (Mohamed et al, 2001), increases robustness enabling the assembly of a variety of products using the same resources and flexibility due to superior ease of modification and reconfiguring (Marian et al, 2003). Accordingly, employing multi-robots in the RFACs offers the advantage of increased productivity in a shorter cycle time with lower production costs (Xidias et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Application of a Fuzzy-Simulation Model of Scheduling Robotic Flexible Assembly Cells

Abd¹,

Abhary

Marian

2013

Journal of Computer Science

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This study describes the application of the developed model to the scheduling of the Robotic Flexible Assembly Cells (RFACs). The present study is a continuation of the paper titled "Development of a FuzzySimulation Model of Scheduling Robotic Flexible Assembly Cells". This new model for multi-objective scheduling problems in RFACs was based on combining a fuzzy-based mathematical model with simulation software tools. In this study, a hypothetical case study of RFACs is presented to demonstrate the effectiveness of the developed model and then compare the results that are obtained by the new methodology with the common scheduling rules. The simulation results show that the performance of the proposed methodology outperforms the most popular scheduling rules from previous research.

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A Cell Management System to Support Robotic Assembly

Cited by 13 publications

References 13 publications

A cloud integrated strategy for reconfigurable manufacturing systems

A cloud integrated strategy for reconfigurable manufacturing systems

A fuzzy decision support system for selecting the optimal scheduling rule in robotic flexible assembly cells

Application of a Fuzzy-Simulation Model of Scheduling Robotic Flexible Assembly Cells

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