Assembly process planning and its future in collaborative manufacturing: a review

Wang, Lihui; Keshavarzmanesh, Shadi; Feng, Hsi-Yung; Buchal, Ralph O.

doi:10.1007/s00170-008-1458-9

Cited by 115 publications

(49 citation statements)

References 56 publications

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“…Distributed multi-agent task allocation algorithms have many application domains such as search and rescue missions [11,13,16,18], product manufacturing [5,20], exploration [9], support in healthcare facilities [4], surveillance [1], and target tracking [17]. By removing the need to maintain a connection with a central server, distributed systems facilitate greater mission ranges and robustness to failures compared with centralised methods.…”

Section: Introductionmentioning

confidence: 99%

Fast consensus for fully distributed multi-agent task allocation

Turner

Meng

Schaefer

et al. 2018

Proceedings of the 33rd Annual ACM Symposium on Applied Computing

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Section: Introductionmentioning

confidence: 99%

Fast consensus for fully distributed multi-agent task allocation

Turner

Meng

Schaefer

et al. 2018

Proceedings of the 33rd Annual ACM Symposium on Applied Computing

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“…If we plan an assembly sequence of a complex assembly, the first method will appear the problem of combination explosion. Therefore, in recent years, many scholars have proposed many solutions for solving this problem by using heuristic search algorithms.Most of the research works are focused on the optimization of heuristic assembly sequence planning algorithm [6]. Bonneville F at al.…”

Section: Introductionmentioning

confidence: 99%

Assembly Sequence Planning for Robotic Automatic Operation

Li¹,

Zhang²,

Wang³

2017

Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

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Abstract. This paper has improved the traditional interference matrix, with joining the information of robotic assembly resource, which is used to search for the optimal assembly sequence. We have given a processing method of interference matrix containing the resource of the robotic assembly, which includes the decision method of geometry feasibility, method of judging the interference between two parts. By dealing with the proposed interference matrix, we define a fitness function to evaluate the value of the various assembly sequences. At last, the paper use Discrete Particle Swarm Optimization (DPSO) algorithm to search the optimal assembly sequence, which is more conformable to actually assemble by using robot.

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“…The automated assembly technology is a comprehensive technology which combines the mechanical design, robotics and sensor and detection techniques [2]. As an important part for industrial production, the automated assembly can decide the total cost of production and productivity.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Design and Kinematic Simulation of Automated Assembly System for Relay

Liu¹,

Chen²

2016

WJM

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By means of Solid Works, three-dimensional model of automated assembly system was established, and kinematic simulation based on Solid Works Motion of assembly process for relay was performed. The simulation results proved the feasibility of mechanical design. Eventually, the productivity was estimated based on simulation analysis. The mechanical design provided a solution with high reference value to practical design of automated assembly system for relay.

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Assembly process planning and its future in collaborative manufacturing: a review

Cited by 115 publications

References 56 publications

Fast consensus for fully distributed multi-agent task allocation

Fast consensus for fully distributed multi-agent task allocation

Assembly Sequence Planning for Robotic Automatic Operation

Mechanical Design and Kinematic Simulation of Automated Assembly System for Relay

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