Machine Tool Reliability


Book Description

This book explores the domain of reliability engineering in the context of machine tools. Failures of machine tools not only jeopardize users' ability to meet their due date commitments but also lead to poor quality of products, slower production, down time losses etc. Poor reliability and improper maintenance of a machine tool greatly increases the life cycle cost to the user. Thus, the application area of the present book, i.e. machine tools, will be equally appealing to machine tool designers, production engineers and maintenance managers. The book will serve as a consolidated volume on various dimensions of machine tool reliability and its implications from manufacturers and users point of view. From the manufacturers' point of view, it discusses various approaches for reliability and maintenance based design of machine tools. In specific, it discusses simultaneous selection of optimal reliability configuration and maintenance schedules, maintenance optimization under various maintenance scenarios and cost based FMEA. From the users' point of view, it explores the role of machine tool reliability in shop floor level decision- making. In specific, it shows how to model the interactions of machine tool reliability with production scheduling, maintenance scheduling and process quality control.




The Competitive Edge


Book Description

Annotation An analysis of new research directions that will lead to higher standards of product quality, responsiveness to customers, and process flexibility. a panel of experts from industry and academia evaluates current barriers to US competitiveness and examines how to improve flexibility, build up the technology base, and update performance measures. Annotation copyrighted by Book News, Inc., Portland, OR.




Transition Towards Energy Efficient Machine Tools


Book Description

Energy efficiency represents a cost-effective and immediate strategy of a sustainable development. Due to substantial environmental and economic implications, a strong emphasis is put on the electrical energy requirements of machine tools for metalworking processes. The improvement of energy efficiency is however confronted with diverse barriers, which sustain an energy efficiency gap of unexploited potential. The deficiencies lie in the lack of information about the actual energy requirements of machine tools, a minimum energy reference to quantify improvement potential and the possible actions to improve the energy demand. Therefore, a comprehensive concept for energy performance management of machine tools is developed which guides the transition towards energy efficient machine tools. It is structured in four innovative concept modules, which are embedded into step-by-step workflow models. The capability of the performance management concept is demonstrated in an automotive manufacturing environment. The target audience primarily comprises researchers and practitioners challenged to enhance energy efficiency in manufacturing. The book may also be beneficial for graduate students who want to specialize in this field.




A Decision Support Methodology for Improving Equipment Reliability


Book Description

Purpose - Aggressive Maintenance Strategy can improve the overall operation and reliability through redesigning or modifying equipment. A decision support tool is proposed that could aid in discovering the many options and in selecting the best approach for redesigning or for modifying the equipment. The new tool has three sections that correspond to the equipment life cycle: 1. Keeping the equipment in perfect running condition. 2. Identifying defects as soon as the equipment starts to degrade. 3. Minimizing losses after the equipment has ceased functioning. Design/Methodology - The first section seeks to keep the equipment running in perfect condition. There are three approaches: 1. Eliminate the root cause. 2. Prevent outside causes from affecting the equipment. 3. Increase the equipment's resistance against outside influences. The second section seeks to identify the defect as soon as possible. There are three approaches: 1. Modify the equipment so that defects may be detected more easily. 2. Improve the detecting instruments such as enhancing the sensitivity or adding machine intelligence. 3. Improve the work environment so that equipment operators may more easily notice any changes in the machinery. The third section seeks to minimize any losses. The three approaches are: 1. Modify the equipment and relevant tools to enable the equipment's lost function to be recovered sooner. 2. Add a resilient system. 3. Add buffer inventory. Findings - After a very extensive literature review, only two tools appear to exist for helping practitioners to make proper decisions concerning their equipment. Edward de Bono's "Six Thinking Hats" and Genrich S. Altshuller's "Theory of Inventive Problem-Solving" methodology are used extensively, but these are not very practical and lack a systematic scheme. Research Limitations/Implications - Any implementation assumes that root cause identification has been made by another tool such as by the 5 Whys, Cause and Effect Diagram, Fault tree analysis, or another tool. Originality/Value- This tool could be implemented in any equipment reliability management program. It guides the practitioner for redesigning and for modifying the equipment in order to achieve high equipment reliability and to reduce the equipment's usage costs.







Research and Publications


Book Description




Reliability Growth


Book Description

A high percentage of defense systems fail to meet their reliability requirements. This is a serious problem for the U.S. Department of Defense (DOD), as well as the nation. Those systems are not only less likely to successfully carry out their intended missions, but they also could endanger the lives of the operators. Furthermore, reliability failures discovered after deployment can result in costly and strategic delays and the need for expensive redesign, which often limits the tactical situations in which the system can be used. Finally, systems that fail to meet their reliability requirements are much more likely to need additional scheduled and unscheduled maintenance and to need more spare parts and possibly replacement systems, all of which can substantially increase the life-cycle costs of a system. Beginning in 2008, DOD undertook a concerted effort to raise the priority of reliability through greater use of design for reliability techniques, reliability growth testing, and formal reliability growth modeling, by both the contractors and DOD units. To this end, handbooks, guidances, and formal memoranda were revised or newly issued to reduce the frequency of reliability deficiencies for defense systems in operational testing and the effects of those deficiencies. "Reliability Growth" evaluates these recent changes and, more generally, assesses how current DOD principles and practices could be modified to increase the likelihood that defense systems will satisfy their reliability requirements. This report examines changes to the reliability requirements for proposed systems; defines modern design and testing for reliability; discusses the contractor's role in reliability testing; and summarizes the current state of formal reliability growth modeling. The recommendations of "Reliability Growth" will improve the reliability of defense systems and protect the health of the valuable personnel who operate them.




Advanced Decision-Making Methods and Applications in System Safety and Reliability Problems


Book Description

This book reviews and presents several approaches to advanced decision-making models for safety and risk assessment. Each introduced model provides case studies indicating a high level of efficiency, robustness, and applicability, which allow readers to utilize them in their understudy risk-based assessment applications. The book begins by introducing a novel dynamic DEMATEL for improving safety management systems. It then progresses logically, dedicating a chapter to each approach, including advanced FMEA with probabilistic linguistic preference relations, Bayesian Network approach and interval type-2 fuzzy set, advanced TOPSIS with spherical fuzzy set, and advanced BWM with neutrosophic fuzzy set and evidence theory. This book will be of interest to professionals and researchers working in the field of system safety and reliability and postgraduate and undergraduate students studying applications of decision-making tools and expert systems.




Advances in Manufacturing Processes, Intelligent Methods and Systems in Production Engineering


Book Description

This book forms an excellent basis for the development of intelligent manufacturing system for Industry 4.0, digital and distributed manufacturing, and factories for future. This book of new developments and advancement in intelligent control and optimization system for production engineering serves as a good companion to scholars, manufacturing companies, and RTO to improve the efficiency of production systems.