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.

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>

Intelligent Manufacturing by Enhanced Product Models

2005 ◽  
Vol 6-8 ◽  
pp. 295-302 ◽  
Author(s):  
H. Bley ◽  
C. Zenner ◽  
M. Bossmann
Keyword(s):  
Quality Management ◽  
Product Life Cycle ◽  
Manufacturing Systems ◽  
Intelligent Manufacturing ◽  
Manufacturing Processes ◽  
Control Loops ◽  
Additional Information ◽  
Key Factor ◽  
Feature Technology

As the quality of manufactured products as well as the quality of the used manufacturing processes has become more and more important for a company in order to stay competitive in the last decades, an integrated quality management leading towards intelligent manufacturing represents a key factor today. Therefore, new methods are required for considering quality information in all phases of the product life cycle. Feature technology and especially the use of so-called measurement and quality features represent an approach towards integrated quality management and the achievement of process-oriented and global quality control loops. Furthermore, feature technology in general also represents a high potential just within the area of sheet metal forming where it can be used to provide additional information for designing manufacturing processes and constructing tools and devices in manufacturing systems.

A Comprehensive Approach of Advanced Error Troubleshooting in Intelligent Manufacturing Systems

2013 ◽  
Vol 404 ◽  
pp. 631-634 ◽  
Author(s):  
Lehel Csokmai ◽  
Ovidiu Moldovan ◽  
Ioan Constantin Tarca ◽  
Radu Tarca
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Production Systems ◽  
Error Recovery ◽  
Intelligent Manufacturing ◽  
Open Issue ◽  
New Type ◽  
Framework System

Production systems must be flexible and endowed with techniques and tools allowing an automatic recovery of errors. And so, the subject of error recovery in flexible manufacturing system is always an open issue. The objective of this work consists in proposing a new type of software framework for error troubleshooting in a flexible manufacturing system that is perceived as an Intelligent Space (iSpace). Our framework system is designed to solve the failures in the functioning of the FMS and to generate self-training from previous experience.

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

scholarly journals Modeling and Simulation of a Flexible Manufacturing System—A Basic Component of Industry 4.0

2020 ◽  
Vol 10 (22) ◽  
pp. 8300 ◽  
Author(s):  
Adriana Florescu ◽  
Sorin Adrian Barabas
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Development Trend ◽  
Industrial Sector ◽  
Intelligent Manufacturing ◽  
Simulation Software ◽  
Intelligent Manufacturing Systems ◽  
The Future ◽  
Virtual Modeling

The field of Flexible Manufacturing Systems (FMS) has seen in recent years a dynamic development trend and can now be considered an integral part of intelligent manufacturing systems and a basis for digital manufacturing. Developing the factory of the future in an increasingly competitive industrial environment involves the study and analysis of some FMS key elements and managerial, technical, and innovative efforts. Using a new approach, thus paper presents a material flow design methodology for flexible manufacturing systems in order to establish the optimal architecture of the analyzed system. The research offers a solution for modeling and optimizing material flows in advanced manufacturing systems. By using a dedicated analysis and simulation software, the structure of the system can be established and specific technical and economic parameters can be determined for each processing and transport capacity. Different processing scenarios will be evaluated through virtual modeling and simulations in order to increase the performance and efficiency of the system. Thus, an interactive tool useful in the design and management of flexible manufacturing lines will be developed for companies operating in the industrial sector. The application of this paper is mainly in the field of development of intelligent manufacturing systems, where the control system will make and use simulations in order to analyze current parameters and to predict the future.

Prioritizing decision criteria of flexible manufacturing systems using fuzzy TOPSIS

2017 ◽  
Vol 28 (7) ◽  
pp. 913-927 ◽  
Author(s):  
Reshma Yasmin Siddiquie ◽  
Zahid A. Khan ◽  
Arshad Noor Siddiquee
Keyword(s):  
Decision Making ◽  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Successful Implementation ◽  
Relative Importance ◽  
Decision Criteria ◽  
Content Type

Purpose The purpose of this paper is to systematically demonstrate the use of an effective multiple criteria decision-making technique, i.e. fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) in ranking the decision criteria of flexible manufacturing systems (FMS). Design/methodology/approach A questionnaire is specially designed and served to the industry experts to collect their opinion on several FMS decision criteria. Subsequently, fuzzy TOPSIS is used to prioritize the decision criteria. Findings Fuzzy TOPSIS multiple criteria decision-making technique is explained and applied to determine relative importance of the several decision criteria of FMS. This will help management of organizations in taking decision for implementing FMS in their organizations. From this study, it is found that customer satisfaction is the top most criterion among several other criteria for the successful implementation of FMS. Research limitations/implications In situation like the one considered in this research, there are dependencies and interactions among the criteria and, therefore, other techniques such as fuzzy analytic network process would have been a better choice. Nevertheless, fuzzy TOPSIS also provides good result as it incorporates vagueness associated with the decision maker’s opinion pertaining to the several FMS decision criteria. Originality/value This paper presents a fuzzy TOSIS model to help managers understand the relative importance of the several FMS decision criteria so that they can use this information for successful implementation of this advanced manufacturing technology in their organizations.

scholarly journals Group technology in the flexible manufacturing system

2019 ◽  
Vol 299 ◽  
pp. 02001
Author(s):  
Peter Kostal ◽  
Andrea Mudrikova ◽  
David. Michal
Keyword(s):  
Technological Process ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Group Technology ◽  
Product Model ◽  
Geometric Product ◽  
Rapid Changes ◽  
Data Group

Flexible manufacturing systems enable rapid changes in production. These changes may be due to changes in the product itself, such as different variations of the product or changes in conditions in the production itself. Currently, most products are designed on a computer using a variety of CAD software. Using sophisticated CAD tools, the resulting 3D product model can include not only the geometric product data but the process plan and technology data. Group technology is very often used to quickly create a technological process. Where, based on similarity, parts are assigned to individual groups and each group has the same basis for the technological process.

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