Elements Of Advanced Manufacturing Theory

This book is the continuation of the textbook Lean Compendium – Introduction to Modern Manufacturing Theory. It extends the theory of mathematical modeling to batch & queue-based cyber-physical production systems. To facilitate learning, the book continues to develop a Cartesian-derived understanding of the system’s behavior by applying manufacturing-specific theorems, corollaries and lemmas. A law-based description enables to model production mathematically and understand upfront their dynamics in terms of WIP generation, lead-times, exit-rates, and on-time delivery performance. While simulation alone only allows to explore the optimum solution, the development of a theory allows to gain knowledge. This improves the learning of the “physics” of manufacturing systems and contributes to a solid production’s understanding and a clear and cognitive problem determination that leads to a thorough mental capture for mastering a systematic design of such highly complex systems.

Management of Research and Development Organizations Managing the Unmanageable R. K. Jain and H. C. Triandis Written by the manager of a large research and development organization and a leading behavioral scientist, this book explores some of the essential topics in R&D management while providing hands-on guidance for putting specific techniques to work. 1990 (0 471-50791-1) 268 pp. Managing Technology in the Decentralized Firm Albert H. Rubenstein Technology has traditionally advanced faster than our ability to manage it. Here is a book designed to assist the professional in furthering the corporate technology program through its effective management. Based on studies of over 200 decentralized firms spanning a period of thirty years, Managing Technology in the Decentralized Firm addresses crucial aspects of the research and development and innovation processes, and suggests how to make them pay off. 1989 (0 471-61024-0) 476 pp. Statistical Quality Control for Manufacturing Managers William S. Messina In today’s competitive environment, the responsibility of the manufacturing manager has expanded to include ownership of the quality of the products coming off the line. The author uses real-life business situations to demonstrate how a manager can incorporate statistical quality control (SQC) into virtually any manufacturing line. He also offers practical advice on techniques managers can use to improve quality, increase productivity, and enhance the competitive position of the line. 1987 (0 471-85774-2) 331 pp. Management of Technological Change Yassin Sankar Technology produces changes within the organization that must be considered for effective implementation of innovations. This book focuses on the dynamics of technological change, especially the human aspects. The author examines the impact of technological change on job design, work flow, job stress, the elements of corporate culture, the organizational system, the information technology of the organization, the leadership style and strategic premises, the organizational design, and the value systems of managers and the organization. 1991 (0 471-63147-7) 374 pp.

First published in 1998, this volume was designed to lead to an operational model of Advanced Manufacturing Technology (AMT) decision making which incorporated the mathematics of fuzzy set theory. The rapid advancement of robotics, automated technologies and software such as CAD and CAM have made such studies paramount. Here, analyses of a questionnaire survey and field study of major UK manufacturing companies together provide a simulating portrayal of AMT investment decision making and have been expanded upon with a model using fuzzy set theory.

Takes into account the effective use of human factors issues in advanced manufacturing which would make the difference between the failure or success of industrial corporations. International authorities describe how to implement methods and techniques, applicable on a global basis, into manufacturing and process industries where change is being brought about as they move to concurrent engineering formats of operation.

This book presents a framework and specific methods and tools for the selection and configuration of the capacity of Advanced Manufacturing Systems (AMS). AMS include Flexible Manufacturing Systems, Dedicated Manufacturing Systems, and Reconfigurable Manufacturing Systems. Starting from the characteristic of the competitive environment, the directions given by the company strategy, data regarding the products, and information regarding the different system architectures, the decision support system described here aids the decision maker by means of a formalized methodology that follows the various steps required to define the type and timing of 'capacity' acquisition and to define the detailed configuration of AMS along its life cycle. The decision making framework and tools illustrated in this volume combine decision-making theory, optimization theory, discrete event simulation and queuing networks. It will be of interest to graduate students and researchers involved in manufacturing engineering, industrial engineering and operations research.

Additive manufacturing (AM) methods have great potential for promoting transformative research in many fields across the vast spectrum of engineering and materials science. AM is one of the leading forms of advanced manufacturing which enables direct computer-aided design (CAD) to part production without part-specific tooling. In October 2015 the National Academies of Sciences, Engineering, and Medicine convened a workshop of experts from diverse communities to examine predictive theoretical and computational approaches for various AM technologies. While experimental workshops in AM have been held in the past, this workshop uniquely focused on theoretical and computational approaches and involved areas such as simulation-based engineering and science, integrated computational materials engineering, mechanics, materials science, manufacturing processes, and other specialized areas. This publication summarizes the presentations and discussions from the workshop.

The text covers four important areas: digital manufacturing, modern manufacturing processes, modeling and simulation in smart industry, and nanotechnology. It further presents mathematical models to represent physical phenomena and applies modern computing methods and simulations in analyzing the same. The text covers key concepts such as abrasive flow machining (AFM), abrasive water jet (AWJ) machining, and hybrid machining for micro/nanomanufacturing. It will serve as an ideal reference text for senior undergraduate, graduate students, and researchers in fields including mechanical engineering, aerospace engineering, manufacturing engineering, and production engineering. Features Discusses sustainable development aspects of additive manufacturing in industry 4.0 Studies electrochemical machining processes for micro-machining Presents experimental Investigation of friction factor and heat transfer rate in the laminar regime Examines the mechanical and microstructural characterization of titanium chips using large strain machining Covers hybrid approaches like electrochemical machining and magnetic abrasive flow machining The book emphasizes linking the computer interface with the digital manufacturing process and their demonstration using commercially available software like Solid-Edge, ProE, and CATIA. It further discusses important aspects of digital manufacturing, advanced composites, artificial intelligence, and modern manufacturing processes.