Top PDF Design and Analysis of Multiple-Load Automated Guided Vehicle Dispatching Algorithms

Design and Analysis of Multiple-Load Automated Guided Vehicle Dispatching Algorithms

Design and Analysis of Multiple-Load Automated Guided Vehicle Dispatching Algorithms

Both experiments show that the PDER rule also has outstanding performances in terms of the average time parts spend in the system. When using the same pickup dispatching rule, the PDER rule outperforms the DTF rule except for the LTIS case. In the first experiment, the STD with PDER rule has the best ATIS performance. However, in experiment 2, the smallest average time in system is always achieved with either a LTIS with PDER or LTIS with DTF rule. When using 3 dual-load AGVs in FMS 1, there is no significant difference between LTIS with PDER and LTIS with DTF in terms of ATIS. When using two triple-load AGVs in FMS 3, the LTIS with PDER, LTIS with DTF, and STD with PDER all have the best ATIS performance. The essential goal of the LTIS rule is to minimize the time in system of parts. A part waiting at the pickup point of the Entry station always has a smaller time in system than those parts in the output buffers of workstations. Thus, the AGVs will drive the manufacturing system to focus on completing the parts that already left the Entry station. This effect ensures the minimizing time in system but reduces the number of parts pulled into the system, thus limiting throughput. In contrast, we observe the downside of the WLB rule (regardless of the task-determination rule) is the large ATIS. In order to avoid machine starvation problems upstream, the WLB rule tends to pull more parts into the system than other pickup- dispatching rules.
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Structural design and analysis of autonomous guided vehicle (AGV) for parts supply

Structural design and analysis of autonomous guided vehicle (AGV) for parts supply

For the last 10 years, the world economic growth rapidly and have been becomes the battle stage between the industrial companies. Autonomous Guided Vehicle is introduced to support the supply system however the initial investment is very high and it cannot convince a certain company to invest such amount of money for the system. In this project, the focus research is more on a low cost lightweight AGV development. Lightweight design leads to less energy consume to carry its body. The purpose of this study is design a low cost, light body AGV that to be used in parts supply using polyboxes. On top of that, the structural strength analyses are performed through computer aided engineering (CAE) simulation. The structure of the AGV also put into consideration of the vehicle architecture, material properties and product
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Designing Automated Guided Vehicle Using Image Sensor

Designing Automated Guided Vehicle Using Image Sensor

For any manufacturing system /activity, material handling has always been an integral part of it. Also high costs are involved in equipments and safety issues. So it is really imperative to design a sound material handling system. The design concerns issues regarding the course path design and the number of other vehicles in convoy. The objective of thesis by Agarkar [5] is to review the literature dealing with Automated Guided Vehicles and various other issues involved in designing its flow path, and reliability of AGV system. Incorporating the reliability aspects in the design of Automated Guided Vehicles is very important, though a bit complex .There is a need to identify critical components which account for catastrophic failure of system. Failure modes and effect analysis are useful techniques in identifying the critical components. Once these critical components are identified the individual reliability can be calculated and the setup block diagram can be used to calculate the total reliability of any proposed system.
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Modelling and Analysis of an Integrated Automated Guided Vehicle System using Coloured Petri Net

Modelling and Analysis of an Integrated Automated Guided Vehicle System using Coloured Petri Net

This study has attempted to apply advanced tools of coloured Petri net method to model and analyze the practical constraints of an integrated automated guided vehicle system. The responses have shown improvement as the AGVS guide path flexibility has been increased. We want to extend this study to analyze more characteristics of AGVS which include AGV congestion. Also, the utilization of other resources like machines and robots will also be calculated and finally this study will attempt to find best guide path configuration based on FMS performance using design of experiment and response surface methods.
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Automated design of genetic programming of classification algorithms.

Automated design of genetic programming of classification algorithms.

In the k-fold cross-validation strategy, the dataset is partitioned into k equal parts. If the number of instances of the dataset is not totally divisible by k the k subset will contain the smaller number of instances than the other k-1 subsets. k runs are performed where on each run k-1 subsets are used for training while the k subset is a test set. To evaluate the classification, the number of correctly classified instances in all the runs is divided by the total number of instances. According to [30] typical values of k lie in the range of 5 -10. Although the commonly found k values found in the literature are 5 [2, 229] and 10 [47, 27] a number of studies also use 2-fold cross-validation [10]. De’ath and Fabricius [27] describe an approach which uses classification and regression trees for the analysis of ecological data. In their approach, they use 10-fold cross-validation and argue that this approach eliminates over-fitting. Over-fitting also known as over-training is when a classifier learns exactly how to fit the training set, this usually leads to poor generalisation [225].
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Vehicle Chassis Analysis: Load Cases

Vehicle Chassis Analysis: Load Cases

Adequate durability under dynamic conditions is a design requirement for the vehicle structures, the static load cases cannot be disregarded. The values for the individual load cases are taken from the expected service conditions of the particular vehicle. The factors usually applied to the static load case, especially for those vehicles with a long overhang containing concentrated loads (e.g., rear engine buses).Such loads result in high bending moments over the rear axle. The various dynamic conditions considered here for the determination of the axle loads are considered below.
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Automated Navigation of Guided Vehicle for Warehouses

Automated Navigation of Guided Vehicle for Warehouses

The second type of vehicle is a forked AGV [4], [5]. Typical forked vehicles employ standard fork truck masts and integrate forks into their design. The connection between the AGV and load is made through the container fork pocket. The Pick-up and deposit points shall be mounted on the floor or at a height above the floor. The key advantage of this type of AGV is its flexibility to interface with existing storage rack systems. Generally these types of vehicles may need a more number of sensors when compared to other types of AGV [6]. The capacity to store and retrieve multiple units of load and its integration with typical pallet platforms are the other merits of this forked type AGV. Generally the forks are made tapered for the applications of roll handling so that product damage can be minimized and varying roll diameters can be accommodated [8].
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Development of deterministic collision-avoidance algorithms for routing automated guided vehicles

Development of deterministic collision-avoidance algorithms for routing automated guided vehicles

restricted to certain areas such as aisles. The model could not be generalized to include factors such as the travel of the unloaded vehicles, vehicle blocking and congestion. Similarly, Hodgson et al. (1987) used Markov decision processes to develop AGVS dispatching rules in a time- dependent environment. Such a procedure was however, increasingly difficult to model even for a simple AGVS due to the large number of states involved. This further necessitated several constraints to be set in for the semi-Markov problem to be tractable. Kaspi et al. (1990) solved the optimal flow path design problem in a uni-directional network using a branch and bound technique, while Goetz et al. (1990) developed an algorithm to minimize the total AGV travel distance in a uni-directional layout. It was observed that for larger problem sizes, both of the above models were difficult to solve.
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Design And Control Of Radio-Frequency Identification Based Conveyor Platform On Automated Guided Vehicle

Design And Control Of Radio-Frequency Identification Based Conveyor Platform On Automated Guided Vehicle

This type of (AGV) move materials from one location to another based on fixed instruction which has been programmed earlier and normally have fixed destinations. Therefore, by moving one step further, this project is aiming to design and develop an automated radio-frequency identification (RFID) based load transfer mechanism using conveyor platform on (AGV) in order to improve material handling processes in manufacturing plant. The use of (RFID) will enhance the capability of the conveyor platform (AGV) in handling high variety productions with multiple choices of destinations. In order to make this project success, research, analyzing data, codes programming, designing and other process must be conducted.
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Implementation of Robust Design in Automated Guided Vehicles

Implementation of Robust Design in Automated Guided Vehicles

It is observed that in the first figure Dead reckoning trajectory provides similar position estimates as laser device but this result is only observed when the system is travelling straight whereas the position error increases when the vehicle turns (Nishi T, 2010). In the second figure position error significantly increases on the turns and also position estimates provided by the laser device are less accurate when the vehicle turns. This is of utmost importance because the load transfer operations usually require turning and hence these position estimates induce collisions affecting the overall system robustness.
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A Study to Optimize Chip Handling and Disposal Using Automated Guided Vehicle

A Study to Optimize Chip Handling and Disposal Using Automated Guided Vehicle

The Chip Processing AGV is an independently operated, self-propelled vehicle guided along defined pathways. The vehicle is powered by on-board batteries that allow substantial hours of operation (8-16 hrs). The workstations are arranged parallel. At the workstation the AGV can detect the disposed chips automatically, process them and head towards the dumping station.

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Automated Guided Vehicle Systems: a Driver for Increased Business Performance

Automated Guided Vehicle Systems: a Driver for Increased Business Performance

Another area with a high application rate of AGVS are assembly lines. In this sector the load is inhomogeneous and changing. Therefore the loading devices must be fitted to the specific application. The vehicle sometimes not only transports the load from one assembly station to the next, but represents an assembly station itself. In this case the vehicle can be considered as a mobile workbench [11]. Another assembly application is the pick-up AGV which has the work piece mounted on it and virtually represents a conveyor for both the worker and the work piece.
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Automated Guided Vehicle System (AGV) System With Flexible Direction

Automated Guided Vehicle System (AGV) System With Flexible Direction

Over the years the technology has become more sophisticated and today automated vehicles are mainly using laser navigation that able to communicate with other robots to ensure product is moved smoothly through the warehouse. Today, the AGV plays an important role in the design of new factories and warehouses, safely moving goods to the rightful destination.

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Development Of Automated-Guided Vehicle For 300kg Trolley Towing Application

Development Of Automated-Guided Vehicle For 300kg Trolley Towing Application

Wire-guidance is the simplest form of navigation, designed for a set, predictable path. Torrens likens wire-guidance to a hound dog following a scent trail that has verifications along the way. An RF signal is transmitted from the wire that’s buried in a slot below the floor to a sensor under the vehicle. The sensor detects the signal and adjusts the position of the vehicle to keep it on the path. Because the slot must be cut into the floor, wire-guided systems are most commonly used in applications that require a high degree of accuracy on the path, like an AGV traveling back and forth between two workstations in a congested area (Lorie King Rogers, 2011).
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Design of an obstacle avoidance system for automated guided vehicles

Design of an obstacle avoidance system for automated guided vehicles

University of Huddersfield Repository Lockwood, Stephen Design of an obstacle avoidance system for automated guided vehicles Original Citation Lockwood, Stephen (1992) Design of an obstacle avoidance[.]

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Annif: DIY automated subject indexing using multiple algorithms

Annif: DIY automated subject indexing using multiple algorithms

Automated subject indexing systems generally follow a particular process. First, text documents are preprocessed, for example by tokenizing the text into sentences and individual words, converting words into lower case, removing stop words and/or stemming or lemmatizing words so that different grammatical variations of the same word are reduced to the stem or lemma that identifies the meaning of the word. Second, the documents are often converted into a vector representation of word frequencies, known as a ​ bag-of-words model, ​ that can be used to query for matching subjects using a suitable algorithm ​ . ​ Alternatively, the preprocessed tokens may be directly matched with terms from a controlled vocabulary. In both cases, the result is a list of candidate subjects ​ for the document. In order to determine the final set of suggested subjects for the document, the candidates must then be ranked and only the most promising ones retained (Medelyan 2009; Toepfer & Seifert 2018).
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LIDAR EKF SLAM Technology and Its Application in Automated Guided Vehicle Navigation

LIDAR EKF SLAM Technology and Its Application in Automated Guided Vehicle Navigation

AGV refers to the intelligent equipment that can deliver goods to the designated location through the guidance device. With the rapid development of modern logistics industry, AGV has been called an important intelligent device of logistics system, and its application scope will be more and more extensive [1]. Navigation is one of the core technologies of AGV, so it is also a symbol of the development of AGV technology. At present, the common AGV navigation methods have magnetic navigation [2], electromagnetic navigation, laser navigation, photoelectric guided, and so on. Magnetic navigation (Figure 1 (a)) and electromagnetic navigation (Figure 1 (b)) have lower flexibility because they need to lay the paths in the workplace beforehand. Laser navigation (Figure 1 (c)) needs to lay the baffle-board in advance, and the maintenance cost and workload are higher when change the workplace. Although photoelectric navigation can change the path, it requires a larger pre-set workload. In order to avoid the shortcomings of the above navigation methods, SLAM navigation based on laser sensors or vision sensors applied to AGV. Using the SLAM technology and the information obtained from the environment by sensors, we can construct a map of the unknown environment and locate the AGV, thus laying a foundation for the next step of AGV path planning [3]. Because of the high flexibility of laser SLAM navigation technology, it is more mature in technology and theory than visual SLAM navigation. It is the development trend of AGV navigation technology. With the development of society, the intelligent logistics industry has a higher requirement. It is an inevitable trend to develop an AGV with high path flexibility and autonomous navigation in unknown environment.
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Automated Guided Vehicle Navigated using Fuzzy Cognitive Maps and Intelligent Space

Automated Guided Vehicle Navigated using Fuzzy Cognitive Maps and Intelligent Space

The proposed system includes giving information about automated guided vehicle to navigate the correct location. This system includes designing a cognitive map for the intelligent action cards. A neural Network helps with classification of tag signals based on RSSI measurements. Evolutionary approaches as optimizing methods try to minimize the localization error. In correspondence with IS our approach tries to utilize a combination of intelligent action cards as well as further robotic means to find a proper balance between sensors of these two groups. In future, one of the most significant criteria will be economical effectiveness of solutions, too. Our approach enables navigation also for simple devices not owning complex sensors. This work comes from our earlier papers dealing with object identification using the so-called smart floors and navigation with help of a cognitive map. Its basic idea is based on a combination of a grid comprised of passive intelligent action tags for robot (vehicle) localization and sonars for obstacle avoidance. Further, we will deal with the use of a sparse tag grid supplemented by odometer for overcoming distances between intelligent action tags.
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Automated Analysis of Mammograms using Evolutionary Algorithms

Automated Analysis of Mammograms using Evolutionary Algorithms

The performance of any algorithm is only as good as the data it trained on. Presenting the algorithm with a variety of images leads to the algorithms ability to deal with different problems and provide strong results. In other words, it could also be understood with the greater the number and diversity of the problems an algorithm is trained, the more stable and strong the results will be obtained. Therefore in order to obtain statistically meaningful measures of performance, computer learning algorithms should be trained and tested on large datasets. There are 31 images from 8 patients included in the training and testing together in dataset. The relatively small number of images available to train and test the CGP network has required that k-fold cross validation be used [12] . In this method, the original sample is randomly partitioned into k subsamples, each subsample is used as the validation data and the remaining k-1 subsamples are the test data, then the process repeats k times with the folds, each time it makes a different k subsample as the validation data. The advantage of k-fold cross validation is that repeated random sub-sampling leads to all samples being used for both training and validation, and each sample is used for validation exactly once. [96] The main advantage of cross validation is that all cases in the data set are used for testing. The main disadvantage is that for each different data set, different classifiers may be learned.
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Development of Automated Dispatching Control 
		System for concrete 
		batching plants

Development of Automated Dispatching Control System for concrete batching plants

Test cases have shown the prospects of further work on improving the software. The development of modernized software involves integrating it as a module in real-time monitoring and control of the work of rolling stock. Currently, more than 100 units of rolling stock equipped with global positioning systems and two-way communication between the vehicle and the Dispatch Control Center road transport of concrete products, which performs the functions of planning and monitoring traffic. If you dwell on the theoretical aspects algorithmic support weakly formalized tasks, it should be noted that the current practitioners as theorists note the presence of scarcity of expertise in the design and use of modern methods and means of automation of processes of generation alternatives, in particular, to solve the problem rationalizing the choice of control action. But this experience, whatever it may be, is essential to ensure the development, at least at the level of general formulation and solution of the problem of software implementation planning module (operational rescheduling) traffic CP.
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