Showing posts with label manufacturing. Show all posts
Showing posts with label manufacturing. Show all posts

Wednesday, July 20, 2011

The New Old Economy: Networks, Institutions, and the Organizational Transformation of American Manufacturing

The New Old Economy: Networks, Institutions, and the Organizational Transformation of American Manufacturing Review


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The New Old Economy: Networks, Institutions, and the Organizational Transformation of American Manufacturing Feature

American manufacturing is in obvious crisis: the sector lost three million jobs between 2000 and 2003 as the American trade deficit shot to record highs. Manufacturers have increasingly decentralized productive responsibilities to armies of supplier firms, both domestic and abroad. Many have speculated as to whether or not manufacturing is even feasible in the United States, given the difficulties. Josh Whitford's book shows that discussion of this shift, in the media and in the academic literature, hits on the right issues - globalization, de-industrialization, and the outsourcing of production in marketized and in network relationships - but in an overly polarized way that obscures as much as it enlightens. Drawing on the results of extensive interviews conducted with manufacturers in the American Upper Midwest, Whitford shows that the range of possibilities is more complex and contingent than is usually recognized. Highlighting heretofore unexamined elements of constraint, contradiction and innovation that characterize contemporary network production models, Whitford shakes received understanding in economic and organizational sociology, comparative political economy, and economic geography to reveal ways in which the American economic development apparatus can be adjusted to better meet the challenges of a highly decentralized production regime.


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Wednesday, July 6, 2011

Simultaneous Engineering for New Product Development: Manufacturing Applications

Simultaneous Engineering for New Product Development: Manufacturing Applications Review


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Simultaneous Engineering for New Product Development: Manufacturing Applications Feature

An integrated, highly practical approach to product developmentusing simultaneous engineering

Industrial engineers and designers as well as managers working on new product development (NPD) typically do not have the time or the expertise to get involved in functions outside their immediate area. Yet the very nature of NPD requires a number of functions and processes to be performed concurrently. This is where simultaneous engineering comes in.
Simultaneous Engineering for New Product Development offers state-of-the-art, integrated coverage of these two hot topics in manufacturing. Industry expert Jack Ribbens draws on firsthand experience with the successful application of simultaneous engineering in the automotive industry, discussing how this approach can help streamline the entire development and production process, resulting in high-quality, competitive goods. He examines all phases of the process, devoting a chapter to each key element-from market research to design and engineering to manufacturing, selling, and customer service and support.
And while most books on concurrent engineering stress the theoretical aspects of the field, Ribbens's book is decidedly practical, complete with case studies from the automotive, aerospace, heavy vehicle, and electronic industries that can be applied to any manufactured product. With mathematical model development as well as useful graphs, checklists, and references, Simultaneous Engineering for New Product Development will help manufacturing professionals take advantage of new trends and technologies in manufacturing well into the twenty-first century.


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Tuesday, May 24, 2011

Concurrent Design of Products, Manufacturing Processes and Systems (Automation and Production Systems)

Concurrent Design of Products, Manufacturing Processes and Systems (Automation and Production Systems) Review


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Concurrent Design of Products, Manufacturing Processes and Systems (Automation and Production Systems) Feature

Methods presented involve the use of simulation and modeling tools and virtual workstations in conjunction with a design environment. This allows a diverse group of researchers, manufacturers, and suppliers to work within a comprehensive network of shared knowledge. The design environment consists of engineering workstations and servers and a suite of simulation, quantitative, computational, analytical, qualitative and experimental tools. Such a design environment will allow the effective and efficient integration of complete product design, manufacturing process design, and customer satisfaction predictions.
This volume enables the reader to create an integrated concurrent engineering design and analysis infrastructure through the use of virtual workstations and servers; provide remote, instant sharing of engineering data and resources for the development of a product, system, mechanism, part, business and/or process, and develop applications fully compatible with international CAD/CAM/CAE standards for product representation and modeling.


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Tuesday, January 11, 2011

Intelligent Modeling, Diagnosis and Control of Manufacturing Processes (World Scientific Series in Automation)

Intelligent Modeling, Diagnosis and Control of Manufacturing Processes (World Scientific Series in Automation) Review


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Intelligent Modeling, Diagnosis and Control of Manufacturing Processes (World Scientific Series in Automation) Feature

This edited volume demonstrates that the key to the modelling, diagnosis and control of the next generation manufacturing processes is to integrate knowledge-based systems with traditional techniques. An up-to-date study is given here of this relatively recent development. The book is for those working primarily with traditional techniques and those working in the knowledge-based systems field. Both sets of readers will find it to be a source of many specific ideas about the intelligence of knowledge-based systems with traditional techniques, and carrying a wealth of useful references.


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Tuesday, August 17, 2010

Manufacturing Optimization through Intelligent Techniques (Manufacturing Engineering and Materials Processing)

Manufacturing Optimization through Intelligent Techniques (Manufacturing Engineering and Materials Processing) Review


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Manufacturing Optimization through Intelligent Techniques (Manufacturing Engineering and Materials Processing) Feature

Effective utilization of equipment is critical to any manufacturing operation, especially with today's sophisticated, high-cost equipment and increased global competition. To meet these challenges in the manufacturing industry, you must understand and implement the myriad conventional and intelligent techniques for different types of manufacturing problems. Manufacturing Optimization Through Intelligent Techniques covers design of machine elements, integrated product development, machining tolerance allocation, selection of operating parameters for CNC machine tools, scheduling, part family formation, selection of robot coordinates, robot trajectory planning and both conventional and intelligent techniques, providing the tools to design and implement a suitable optimization technique. The author explores how to model optimization problems, select suitable techniques, develop the optimization algorithm and software, and implement the program.

The book delineates five new techniques using examples taken from the literature for optimization problems in design, tolerance allocation; selection of machining parameters, integrated product development, scheduling, concurrent formation of machine groups and part families, selection of robot co-ordinates, robot trajectory planning and intelligent machining. All the manufacturing functions described have been successfully solved by Genetic Algorithm. Other intelligent techniques have been implemented only for solving certain types of problems: simulated annealing; design and scheduling, particle swarm optimization and ant colony optimization; tolerance allocation and tabu search; as well as machining parameters optimization.

After reading this book, you will understand the different types of manufacturing optimization problems as well as the conventional and intelligent techniques suitable for solving them. You will also be able to develop and implement effective optimization procedures and algorithms for a wide variety of problems in design manufacturing.


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Wednesday, March 31, 2010

Guidelines for Failure Mode and Effects Analysis (FMEA), for Automotive, Aerospace, and General Manufacturing Industries

Guidelines for Failure Mode and Effects Analysis (FMEA), for Automotive, Aerospace, and General Manufacturing Industries Review


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Guidelines for Failure Mode and Effects Analysis (FMEA), for Automotive, Aerospace, and General Manufacturing Industries Feature

These guidelines form a comprehensive overview of Failure Mode and Effects Analysis (FMEA) and examines why FMEA has become a powerful and respected analytical technique for effectively managing and reducing risks. Readers learn how to use FMEA throughout the life cycles of their product to improve customer satisfaction and assure safety and regulatory compliance. They will obtain sound advice on selecting a study team, setting up and conducting a study, and analyzing the results. Other topics include Failure Mode, Effects, and Criticality Analysis, Risk Management Planning, Advanced Quality Planning, Product Quality Control Plans, and Dynamic Control Plans.


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Monday, November 16, 2009

Measurement, Analysis, and Control Using Jmp: Quality Techniques for Manufacturing

Measurement, Analysis, and Control Using Jmp: Quality Techniques for Manufacturing Review


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Measurement, Analysis, and Control Using Jmp: Quality Techniques for Manufacturing Feature

For a manufacturing activity to remain competitive, engineers must rigorously apply statistics methodologies that enable them to understand the sources and consequences of uncontrolled process variation. In this example-rich text, author Jack Reece explains simple comparative statistics and demonstrates how to use JMP to examine raw data graphically and to generate regression models involving fixed and random effects. The following major topics are addressed:

  • Characterizing the measurement process
  • Analyzing process performance
  • Developing appropriate control mechanisms for monitoring measurement and performance

Although many of the examples rely on case studies, largely in the semiconductor manufacturing area, the principles described and the methods used apply generally to the study of any process or manufacturing activity. This book assumes that the reader has some knowledge of JMP software, but does not assume extensive statistical knowledge.


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