343 resources related to Cellular manufacturing
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- IEEE Organizations related to Cellular manufacturing
- Conferences related to Cellular manufacturing
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
2021 IEEE International Conference on Mechatronics (ICM)
CM focuses on recent developments and future prospects related to the synergetic integration of mechanics, electronics, and information processing.
2020 IEEE 18th International Conference on Industrial Informatics (INDIN)
INDIN focuses on recent developments, deployments, technology trends, and research results in Industrial Informatics-related fields from both industry and academia
ECTC is the premier international conference sponsored by the IEEE Components, Packaging and Manufacturing Society. ECTC paper comprise a wide spectrum of topics, including 3D packaging, electronic components, materials, assembly, interconnections, device and system packaging, optoelectronics, reliability, and simulation.
All topics related to engineering and technology management, including applicable analytical methods and economical/social/human issues to be considered in making engineering decisions.
The IEEE Transactions on Advanced Packaging has its focus on the modeling, design, and analysis of advanced electronic, photonic, sensors, and MEMS packaging.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
Proceedings of the 2004 Winter Simulation Conference, 2004., 2004
This paper presents a study that uses simulation to improve shop floor performance by means of two layout types and certain operational parameters. In this study, an overview of the plant layout problem is covered for the particular company. The original motivation for redesigning the entire shop floor was the need to realize improvements in material flow and output level. ...
2007 IEEE 8th Human Factors and Power Plants and HPRCT 13th Annual Meeting, 2007
Almost every nuclear power plant in North America has an existing root cause analysis and corrective action program. Since a good root cause analysis and corrective action program is essential for safe, reliable production of nuclear power, one question that should be asked is: “How does one improve an existing root cause analysis and corrective action program?” A rather novel ...
Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 1994
Cellular manufacturing systems (CMS), an application of group technology (GT) derives the benefit of cost advantage of mass production effect for multi- product small-lot-sized production. There are many applications to this concept of group technology in engineering manufacture. In CMS, machine tools are grouped into cells and each one of them is generally dedicated to the manufacture of a part-family. ...
2008 IEEE International Conference on Industrial Engineering and Engineering Management, 2008
This research aims to re-engineer the process in order to improve both productivity and quality of LC Duplex connector optical fiber production line. This reengineering process research for fiber optic production process had adopted line balancing, design of assembly line and cellular manufacturing to improve the productivity and quality of the process. Simulation had been used as a mechanism for ...
2009 International Conference on Management and Service Science, 2009
In recent years, researchers have devoted continuous efforts to study different facet of cellular manufacturing system (CMS). However, very few of them have tried to investigate both cell formation and the cell layout simultaneously. Different order/sequence of machine cells allocation may result in different total intercellular movement distance unit. Solving this problem is indeed very important in reducing the total ...
Jim Davis on Deploying IoT in Manufacturing and Supply Chains - WF-IoT 2015
IMS 2011 Microapps - Volume Manufacturing Trends for Automotive Radar Devices
Brooklyn 5G Summit 2014: Dr. Robert Heath on Coverage and Capacity Analysis of Dense Millimeter Wave Cellular System
Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!
Dr. Bernd Kosch on Industrie 4.0 and manufacturing - WF-IoT 2015
IMS 2014: Design and Analysis of a Low-Profile 28 GHz Beam Steering Antenna Solution for Future 5G Cellular Applications
Beyond the Cellular Paradigm: Cell-Free Architectures with Radio Stripes - IEEE Future Networks Webinar
Electric-field Bit Write-in for Molecular Quantum-dot Cellular Automata - Enrique Blair - ICRC 2018
U.S. Department of Energy Advanced Manufacturing Overview - Dev Shenoy: 2016 International Conference on Rebooting Computing
Stephen Mellor: Challenges of Deploying IoT in Manufacturing - WF-IoT 2015
RFIC - The Growth of Cellular Communications
Care Innovations: Toxics In Electronics (com legendas em portugues)
Niobium Manufacturing for Superconductivity - ASC-2014 Plenary series - 5 of 13 - Tuesday 2014/8/12
Integrated Photonics Manufacturing Initiative - Michael Liehr Plenary from the 2016 IEEE Photonics Conference
IRDS: Yield Enhancement - Slava Libman at INC 2019
A Direct-Conversion Transmitter for Small-Cell Cellular Base Stations with Integrated Digital Predistortion in 65nm CMOS: RFIC Industry Showcase
What's Beyond 5G - Andrea Goldsmith - 5G World Forum Santa Clara 2018
IMS 2011 Plenary: J. David Rhodes on WCDMA and 4G LTE
Heterogeneous Photonic Packaging - John Osenbach - IPC 2018
This paper presents a study that uses simulation to improve shop floor performance by means of two layout types and certain operational parameters. In this study, an overview of the plant layout problem is covered for the particular company. The original motivation for redesigning the entire shop floor was the need to realize improvements in material flow and output level. First, the performance of the existing system was evaluated by using ARENA. Second, manufacturing cells were formed and group technology layout was developed by means of rank order clustering (ROC) method and computerized relative allocation of facilities technique (CRAFT). Finally, the performance of the new system was evaluated and compared with that of the current system.
Almost every nuclear power plant in North America has an existing root cause analysis and corrective action program. Since a good root cause analysis and corrective action program is essential for safe, reliable production of nuclear power, one question that should be asked is: “How does one improve an existing root cause analysis and corrective action program?” A rather novel approach is to use the concepts of the Toyota Production System (TPS or Lean) to cut waste and improve the effectiveness of root cause analysis and accident/incident investigation. Applying Lean thinking can produce eye- opening, practical, but uncommon ideas to improve an existing root cause analysis and corrective action program and make them more efficient and effective.
Cellular manufacturing systems (CMS), an application of group technology (GT) derives the benefit of cost advantage of mass production effect for multi- product small-lot-sized production. There are many applications to this concept of group technology in engineering manufacture. In CMS, machine tools are grouped into cells and each one of them is generally dedicated to the manufacture of a part-family. In this paper, a stochastic unsupervised learning algorithm (SUCLA) has been developed. This is a two-layer feedforward network trained with competitive learning. The proposed algorithm is used for the simultaneous formation of machine cells and part families. This model is tested with a considerable size of data sets available in the open literature. This algorithm has been found to be a flexible and powerful tool for the design of CMS.<<ETX>>
This research aims to re-engineer the process in order to improve both productivity and quality of LC Duplex connector optical fiber production line. This reengineering process research for fiber optic production process had adopted line balancing, design of assembly line and cellular manufacturing to improve the productivity and quality of the process. Simulation had been used as a mechanism for finding solutions of improvement. The design for assembly line adopts the optimization algorithm of minimizing the maximum between the operation times of each cells and its average. The results showed that the productivity was increased, line balancing efficiency was dramatically improved, and work in-process was reduced as well as the improvement in quality.
In recent years, researchers have devoted continuous efforts to study different facet of cellular manufacturing system (CMS). However, very few of them have tried to investigate both cell formation and the cell layout simultaneously. Different order/sequence of machine cells allocation may result in different total intercellular movement distance unit. Solving this problem is indeed very important in reducing the total intracellular and intercellular part movements which is especially significant with large production volume. In this paper, a mathematical model has been proposed to tackle the cell formation and cell layout simultaneously with consideration of both alternative routing and production volume. Due to the combinatorial nature of this model, a hybrid tabu search algorithm was applied to solve it. Unlike the existing method, the proposed algorithm does not demand a priori specification of the number of cells. Moreover, it can determine linear single-row layout or linear double-row layout. The results of the proposed method are compared with well-known approaches that are introduced in literature. These comparisons show that the proposed method offers good solutions for the CMS problem.
Cellular manufacturing system planning is a combinatorial optimization problem. Because of its nonlinearity, NP-Complete, and other complex characteristics, it can not be easily solved by conventional methods. Development of modern computing technology provides the possibility. This paper introduces the grouping efficiency and performance indicators to measure the merits of system planning. By focusing on the fuzzy nature of processing paths exised in either the whole machine or in parts, an improved genetic algorithm based on fuzzy theory is proposed to achieve cellular manufacturing system planning. This algorithm uses the fuzzy relation matrix coding of chromosomes to narrow the search space. Simulation results showed the effectiveness of the designed algorithm.
The object of this study is to propose an integrated design method for machine-part grouping problem and part-assembly grouping problem in cellular manufacturing system design using mathematical programming procedure. There is a great deal of methods that have been proposed for the machine-part grouping problem in cellular manufacturing system. But few researches consider the design for machine cell and assembly cell simultaneously. The product considered in this study is assumed to be assembled with several parts which are manufactured through machining processes. It is necessary to convey the parts from machine cell to assembly cell smoothly. Therefore we consider machine cell and assembly cell formation concurrently. Relation of the assembly products and parts are shown by assembly-part incident matrix same as machine-part incident matrix. Using these two incident matrices, machines and assembly products also can be shown by a matrix. Grouping efficacy is a good grouping index for machine-part incident matrix which consists of 0 and 1 elements. We propose a new grouping efficacy for machine-part-assembly incident matrix, because the matrix has the element value larger than 1. Last we show several numerical examples using the proposed method and evaluate the results by the proposed grouping efficacy.
Industries have to cope with millions of parts for production on daily basis. Scheduling of those parts for production is a complex process. Parts having properly scheduled processing rarely get delayed and therefore generally delivered on time. Cellular Manufacturing System (CMS) is a proficient production system and can be used as an effective replacement of Batch type manufacturing. Cell Formation (CF) is the fundamental part of Cell design and its effectiveness is checked using a performance index called Grouping Efficacy (GE).Part scheduling is very rarely used as a design tool for Cell Formation Problem (CFP). A software based solution is developed in this research to solve CFP by applying Genetic Algorithm (GA), which is an Artificial Intelligence (AI) technique. The uniqueness of this approach is that it presents an integrated approach for grouping parts into families and machines into cells using Makespan as the performance factor. Results show that minimizing the Make span maximizes the GE.
This paper presents an approach for scheduling jobs on machine cells with some processing constraints. A machine cell is a group of some machines. It is a managing unit in a shop. The shop managers assign the personnel and jobs to every cell. The components of cells can be changed with the demands of processed products and managers, which brings about great convenience in the management of semiautomatic manufacturing shops. However, it also increases the complexity of the scheduling problem in such shop. There are various types of cells in a shop. The authors give different scheduling approaches to different types of cells. As to the scheduling algorithm, they advance the WCPM (weighted critical path method) which optimizes the typical CPM and obtains a more satisfactory scheduling result. This approach has been used to implement a job-shop scheduling system for use in a Japanese factory producing flexible circuit boards.
Summary form only given. Groupware is increasingly being used by engineering design teams to reach consensus on a range of issues relating to the design process. In this paper, the authors discuss the development and evaluation of a computer-supported collaborative work (CSCW) system in enhancing the effectiveness of cross-functional teams involved in the selection of the best layout for cellular manufacturing teams. The results are very promising for engineering design teams who are required to collaborate but are distributed in several locations.
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