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

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.

Author(s):  
Carlos Llopis-Albert ◽  
Francisco Rubio ◽  
Francisco Valero

<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>


2012 ◽  
Vol 576 ◽  
pp. 714-717
Author(s):  
Mohammad Iqbal ◽  
Muhammad Ridwan Andi Purnomo ◽  
Muhammad Ammar Bin Mohd Imra ◽  
Mohamed Konneh ◽  
A.N. Mustafizul Karim

Material handling is one of major components in Flexible Manufacturing System (FMS). Any improvement of material handling capability is to affect the performance of the whole system. This paper discusses the simulation study on the effect of part arrival rate and dispatching rules to the average waiting time and production rate of the FMS. The facilities of the system were modeled into simulation environment by using Arena Simulation Software. The production parameters such as machine processing times, part transportation speed and type of products were put into the model to represent the behaviors of the real system. Two rules have been considered in the study, i. e. first come first served (FCFS), and shortest processing time (SPT). Average waiting time and productivity were taken into account as performance measures of the system. The result of the study showed that SPT rule gives shorter average waiting time and higher productivity. Based on this result, the SPT rules would be used to control part transporter in order to have a better performance of the FMS.


2007 ◽  
Vol 1 (1) ◽  
pp. 52-60
Author(s):  
Tauseef Aized ◽  
◽  
Koji Takahashi ◽  
Ichiro Hagiwara ◽  

The objective of this study is to analyse an integrated Automated Guided Vehicle System (AGVS) which is embedded in a pull type multi-product, multi-stage and multi-line flexible manufacturing system (FMS). The analysis is carried out through the development of different guide path configurations. Three guide-path configurations are developed to add flexibility gradually in the AGVS and the impact of added flexibility is studied by examining the performance of the system. The study uses coloured Petri net methodology to model the system and the simulation results lead to decrease the number of automated guided vehicles and hence the overall cost of the system.


2014 ◽  
Vol 984-985 ◽  
pp. 444-451
Author(s):  
M. Krishnan ◽  
T. Karthikeyan ◽  
T.R. Chinnusamy ◽  
A. Murugesan

The layout of a flexible manufacturing system (FMS) involves distributing different resources for achieving maximum efficiency. To provide a variety of products to customers the FMS has created a significant set of operational changes. Among this, layout planning is more important in achieving productivity of FMS. The problem of this type is combinatorial in nature and found to be Non-deterministic Polynomial (NP) complete. This paper focuses the loop layout planning of an FMS with the aim of minimizing the transportation distance and the backtracking distances of the Automated Guided Vehicles (AGV) using the hybrid Scatter Search - Particle Swarm Optimization algorithm (SS-PSO). Since the Loop layout has relatively low initial costs and contains few material handling links with higher flexibility. SS-PSO operates on unifying principles based on strategic designs compared to other metaheuristic algorithms such as GA, PSO etc. Hybrid SS-PSO approach is applied to seven and nine machines loop layout problem. It is found that the proposed algorithm provides a better solution with fast convergence rate compared with other metaheuristic algorithms.


2018 ◽  
Vol 5 (2) ◽  
pp. 3981-3986 ◽  
Author(s):  
Prudhvi Reddy Gutta ◽  
Varun Sai Chinthala ◽  
Raja Venkatesh Manchoju ◽  
Viswa Charan MVN ◽  
Rajesh Purohit

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