Development of Adaptive Production System(APS) to Market Uncertainty. Application to Automotive Starter Assembly Line.

Hanai, Mineo; Tsuchiya, Sojiro; Hibi, Hitoshi; Nakasai, Tatsumi; Terada, Hiroyuki

doi:10.2493/jjspe.65.1087

Cited by 7 publications

(1 citation statement)

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“…Regarding palletizing cells, products life-cycle are becoming shorter, and some production lines are being converted to modular production cells [1]. On top of that, industries can only remain competitive and profitable in case they conduct flexible responses to the inconstant market, producing a wide assortment of items, as indicated by the client's determinations [2]. Long programming time of industrial robots significantly lowers production flexibility and volume.…”

Section: Introductionmentioning

confidence: 99%

AdaptPack Studio: Automatic Offline Robot Programming Framework for Factory Environments

Castro

Souza

Rocha

et al. 2019

2019 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)

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The brisk and dynamic environment that factories are facing, both as an internal and an external level, requires a collection of handy tools to solve emerging issues in the industry 4.0 context. Part of the common challenges that appear are related to the increasing demand for high adaptability in the organizations' production lines. Mechanical processes are becoming faster and more adjustable to the production diversity in the Fast Moving Consumer Goods (FMCG). Concerning the previous characteristics, future factories can only remain competitive and profitable if they have the ability to quickly adapt all their production resources in response to inconstant market demands. Having previous concerns in focus, this paper presents a fast and adaptative framework for automated cells modeling, simulation and offline robot programming, focused on palletizing operations. Established as an add-on for the Visual Components (VC) 3D manufacturing simulation software, the proposed application allows performing fast layout modeling and automatic offline generation of robot programs. Furthermore, A* based algorithms are used for generating collision-free trajectories, discretized both in the robot joints space and in the Cartesian space. The software evaluation was tested inside the VC simulation world and in the real-world scenario. Results have shown to be concise and accurate, with minor displacement inaccuracies due to differences between the virtual model and the real world.

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Section: Introductionmentioning

confidence: 99%

AdaptPack Studio: Automatic Offline Robot Programming Framework for Factory Environments

Castro

Souza

Rocha

et al. 2019

2019 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)

View full text Add to dashboard Cite

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Development of mobile robot system adaptive to sharp fluctuation of production volume

Hibi

Proceedings of the 2001 IEEE International Symposium on Assembly and Task Planning (ISATP2001). Assembly and Disassembly in The

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An autonomous production system that coexists harmoniously with human-development of autonomous mobile robot system

Hibi

2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422)

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Development of Adaptive Production System(APS) to Market Uncertainty. Application to Automotive Starter Assembly Line.

Cited by 7 publications

References 0 publications

AdaptPack Studio: Automatic Offline Robot Programming Framework for Factory Environments

AdaptPack Studio: Automatic Offline Robot Programming Framework for Factory Environments

Development of mobile robot system adaptive to sharp fluctuation of production volume

An autonomous production system that coexists harmoniously with human-development of autonomous mobile robot system

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