scholarly journals Short – term Planning for Part Supply in Assembly Lines Using Mobile Robots

Procedia CIRP ◽  
2016 ◽  
Vol 44 ◽  
pp. 371-376 ◽  
Author(s):  
Niki Kousi ◽  
George Michalos ◽  
Sotiris Makris ◽  
George Chryssolouris
Keyword(s):  
Mobile Robots ◽  
Assembly Lines ◽  
Short Term

scholarly journals Mobile Robots for Moving-Floor Assembly Lines: Design, Evaluation, and Deployment

2018 ◽  
Vol 25 (2) ◽  
pp. 72-81 ◽  
Author(s):  
Vaibhav V. Unhelkar ◽  
Stefan Dorr ◽  
Alexander Bubeck ◽  
Przemyslaw A. Lasota ◽  
Jorge Perez ◽  
...  
Keyword(s):  
Mobile Robots ◽  
Design Evaluation ◽  
Assembly Lines

Study on Reconfiguration Approach of Mixed-Model Assembly Line Based on Petri Net Modeling of Workstations

2012 ◽  
Vol 263-266 ◽  
pp. 3265-3273
Author(s):  
Shu Xu ◽  
Fu Ming Li
Keyword(s):  
Assembly Line ◽  
Mixed Model ◽  
Equivalent Transformation ◽  
Assembly Lines ◽  
Short Term ◽  
Mixed Model Assembly Lines ◽  
Equipment Configuration ◽  
Mixed Model Assembly Line ◽  
Mixed Model Assembly ◽  
Structure Research

This thesis puts forward a reconfiguration approach of mixed-model assembly line on the basis of adding equipments against short-term and violent change of demand. This approach makes uses of equivalent transformation of task volume to judge whether the capacity of current assembly line can satisfy the demand according to delivery time, and gives equipment configuration of completing the order by adjusting assembly line structure. Research results show that the shortage and excess of assembly line capacity as well as equipment configuration is different when order changes. The approach proposed in this thesis can be directly adopted as the scheme of mixed-model assembly line and referred to other capacity adjustment schemes, such as balancing the mixed-model assembly lines and cooperative manufacture.

Parallel autonomous guided vehicle assembly line for a semi-continuous manufacturing system

2016 ◽  
Vol 36 (3) ◽  
pp. 262-273 ◽  
Author(s):  
Hamed Fazlollahtabar
Keyword(s):  
Manufacturing System ◽  
Assembly Line ◽  
Dynamic Scheduling ◽  
Continuous Manufacturing ◽  
Scheduling Problems ◽  
Assembly Lines ◽  
Short Term ◽  
Line System ◽  
Content Type ◽  
Multiple Products

Purpose This paper aims to propose a parallel automated assembly line system to produce multiple products in a semi-continuous system. Design/methodology/approach The control system developed in this research consists of a manufacturing system for two-level hierarchical dynamic decisions of autonomous/automated/automatic-guided vehicles (AGVs) dispatching/next station selection and machining schedules and a station control scheme for operational control of machines and components. In this proposed problem, the assignment of multiple AGVs to different assembly lines and the semi-continuous stations is a critical objective. AGVs and station scheduling decisions are made at the assembly line level. On the other hand, component and machining resource scheduling are made at the station level. Findings The proposed scheduler first decomposes the dynamic scheduling problems into a static AGV and machine assignment during each short-term rolling window. It optimizes weighted completion time of tasks for each short-term window by formulating the task and resource assignment problem as a minimum cost flow problem during each short-term scheduling window. A comprehensive decision making process and heuristics are developed for efficient implementation. A simulation study is worked out for validation. Originality/value Several assembly lines are configured to produce multiple products in which the technologies of machines are shared among the assembly lines when required. The sequence of stations is pre-specified in each assembly line and the components of a product are kept in machine magazine. The transportation between the stations in an assembly line (intra assembly line) and among stations in different assembly lines (inter assembly line) are performed using AGVs.

scholarly journals An Idiotypic Immune Network As a Short-Term Learning Architecture for Mobile Robots

2008 ◽  
Author(s):  
Amanda Whitbrook ◽  
Uwe Aickelin ◽  
Jonathan M. Garibaldi
Keyword(s):  
Mobile Robots ◽  
Immune Network ◽  
Short Term

Intelligent Control of Autonomous Soccer Robots Compensating for Missing Information

2005 ◽  
Vol 9 (3) ◽  
pp. 268-276 ◽  
Author(s):  
Hikari Fujii ◽  
◽  
Nobuyuki Kurihara ◽  
Kazuo Yoshida ◽  
Keyword(s):  
Mobile Robots ◽  
Intelligent Control ◽  
Visual Information ◽  
Short Term Memory ◽  
Human Memory ◽  
Autonomous Mobile Robots ◽  
Missing Information ◽  
Short Term ◽  
Term Memory ◽  
Soccer Robots

For autonomous mobile robots, visual information is used to recognize the environment. Although the acquisition of visual information is often disturbed in the real environment, it is necessary for a robot to act appropriately even if information is missing. We compensate for missing information for autonomous mobile robots by using short-term memory (STM) to make robots act appropriately. This method involves short-term memory and action selectors. Short-term memory is constructed based on the model of human memory and the forgetting curve used in cognitive science. These action selectors use compensated-for information and determine suitable action. One action selector consists of a neural network whose connection weights are learned by a genetic algorithm. Another selector is designed based on the designer's knowledge. These action selectors are switched based on reliability index of information. RoboCup Middle Size League soccer robots are used for demonstration. The experimental and simulation results show its effectiveness.

Conceptual short-term memory (CSTM) supports core claims of Christiansen and Chater

2016 ◽  
Vol 39 ◽  
Author(s):  
Mary C. Potter
Keyword(s):  
Working Memory ◽  
Rapid Serial Visual Presentation ◽  
Language Comprehension ◽  
Short Term Memory ◽  
Visual Presentation ◽  
Long Term Memory ◽  
Short Term ◽  
Term Memory ◽  
Use Of Knowledge

AbstractRapid serial visual presentation (RSVP) of words or pictured scenes provides evidence for a large-capacity conceptual short-term memory (CSTM) that momentarily provides rich associated material from long-term memory, permitting rapid chunking (Potter 1993; 2009; 2012). In perception of scenes as well as language comprehension, we make use of knowledge that briefly exceeds the supposed limits of working memory.

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