scholarly journals Designing Efficient Material Handling Systems Via Automated Guided Vehicles (AGVs)

2018 ◽  
Vol 5 (2) ◽  
pp. 97 ◽  
Author(s):  
Carlos Llopis-Albert ◽  
Francisco Rubio ◽  
Francisco Valero
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Qualitative Comparative Analysis ◽  
Decision Makers ◽  
Automated Guided Vehicles ◽  
Managerial Decision ◽  
Material Handling Systems ◽  
Level Of Satisfaction ◽  
Key Factor

<p class="Textoindependiente21">The designing of an efficient warehouse management system is a key factor to improve productivity and reduce costs. The use of Automated Guided Vehicles (AVGs) in Material Handling Systems (MHS) and Flexible Manufacturing Systems (FMS) can help to that purpose. This paper is intended to provide insight regarding the technical and financial suitability of the implementation of a fleet of AGVs. This is carried out by means of a fuzzy set/qualitative comparative analysis (fsQCA) by measuring the level of satisfaction of managerial decision makers.</p>

scholarly journals Alleviating the Collision States and Fleet Optimization by Introducing a New Generation of Automated Guided Vehicle Systems

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Parham Azimi
Keyword(s):  
Flexible Manufacturing ◽  
Material Handling ◽  
Manufacturing System ◽  
Simulation Method ◽  
Automated Guided Vehicles ◽  
Automated Guided Vehicle ◽  
Material Handling Systems ◽  
Vehicle Systems ◽  
Common Problems ◽  
New Generation

The aim of the current research is to propose a new generation of automated guided vehicle systems for alleviating the collision states in material handling systems where the automated guided vehicles movements are allowed to be both unidirectional and bidirectional. The objective function is to maximize the average annual profit in an FMS system using a simulation method. Despite several researches done in this field, this criterion has been studied rarely. The current study includes some new changes in AGV design for preventing some common problems such as congestions and deadlocks based on real profits/costs analysis in a flexible manufacturing system. For this reason, some experiments have been carried out to study the effects of several empty vehicle dispatching rules on average annual profit. The results show that the proposed framework is efficient and robust enough for industrial environments.

An Innovative Drive Train Design for Improved Dead Reckoning Accuracy in Automated Guided Vehicles

2011 ◽  
Vol 383-390 ◽  
pp. 5375-5380
Author(s):  
Murelitharan Muniandy ◽  
Kanesan Muthusamy
Keyword(s):  
Feedback Control ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Dead Reckoning ◽  
Surface Characteristics ◽  
Drive Train ◽  
Automated Guided Vehicles ◽  
Successful Implementation ◽  
Wheeled Mobile Robots

The automated guided vehicle (AGV) is a key component for the successful implementation of flexible manufacturing systems (FMS). AGVs are wheeled mobile robots (WMR) employed for material handling in the constantly evolving layouts of these modern factory shop floors. As such their ability to navigate autonomously is an equally important aspect to sustain an efficient manufacturing process. However, their mobility efficiency is inherently affected by the unproductive systematic and non-systematic odometry errors. Odometry errors mainly occur due to the mobility configuration of the AGV drive train and the surface characteristics the robot is interacting with. Odometry error accumulates over the distance traveled and leads to severe dead reckoning inaccuracy if the robot’s feedback control mechanism is unable to correct the error fast. This paper proposes an innovative drive train mechanism called dual planetary drive (DPD) that will minimize odometry errors without the need for complex electronic feedback control systems

Group Technology

2010 ◽  
pp. 189-213
Author(s):  
Zude Zhou ◽  
Huaiqing Wang ◽  
Ping Lou
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Group Technology ◽  
Similarity Criterion ◽  
Intelligent Manufacturing ◽  
Successful Implementation ◽  
Management Philosophy ◽  
Coding Systems ◽  
Key Factor ◽  
Product Design Process

Group technology (GT) is a management philosophy that attempts to group products with similar design and/or manufacturing characteristics. It is also a key factor in the successful implementation of flexible manufacturing systems, and equally is one of the foundations of the implementation of intelligent manufacturing. The success of GT implementation is in the effective formation of part families and the rational layout of the manufacturing cell (machine family). In this chapter, the background and conception of (GT) are introduced, followed by succinct descriptions of the similarity criterion, classification and coding systems, and classification approaches of GT. The actual applications of GT to product design, process planning and group scheduling are discussed, and finally the summary and trends of GT are articulated.

Presenting an Innovative Process Improvement Method for the Efficient Forklift Material Handling Systems in the Industry 4.0

2020 ◽  
Vol 14 (1) ◽  
pp. 32-38
Author(s):  
Róbert Skapinyecz ◽  
Béla Illés ◽  
Tamás Bányai ◽  
Umetaliev Akylbek ◽  
Ibolya Hardai ◽  
...  
Keyword(s):  
Process Improvement ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Material Handling ◽  
Data Transfer ◽  
Manufacturing Sector ◽  
Manufacturing Companies ◽  
Time Data ◽  
Material Handling Systems ◽  
Improvement Method

The rapid adoption of Industry 4.0 principles in the manufacturing sector during the last couple of years has created numerous possibilities for development. One key area related to manufacturing in which Industry 4.0 solutions can have a significant impact is the field of materials handling. However, today the majority of manufacturing companies still overly rely on the utilization of standard forklift material handling systems for supporting their operations. In this paper, our goal is to present a novel process improvement method utilizing Industry 4.0 principles which could significantly aid in the design of efficient forklift material handling systems. We believe that by utilizing the opportunities inherent in Industry 4.0 (in this case mainly sensor systems, big data analysis, digitalization and real-time data transfer), forklift based material handling can be elevated to an entirely new level in terms of efficiency, which could greatly improve the overall performance of the vast majority of manufacturing systems.

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