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Soldering Processes and Equipment (Hardcover): M.G. Pecht Soldering Processes and Equipment (Hardcover)
M.G. Pecht
R4,165 Discovery Miles 41 650 Ships in 12 - 17 working days

Addresses the key aspects of modern soldering technology and the methods used in the manufacturing process of microelectronic chips and electronic circuit boards. Demonstrates how to control contamination during cleaning procedures. Covers material dynamics of heat soldering incurred during the assembly of diverse substances. Features techniques to assure reliability and quality control during the manufacturing process and emphasizes the importance of rework in the soldering industry.

Parts Selection and Management (Hardcover, New): M.G. Pecht Parts Selection and Management (Hardcover, New)
M.G. Pecht
R3,979 Discovery Miles 39 790 Ships in 12 - 17 working days

Increase profitability and reduce risk through effective parts selection and management

Corporations recognize that technology can be the key to fueling product design and development. But just as crucial-if not more-to a company's success are the decisions about when, what, and how a technology will be used. Few companies have failed because the right technology was not available; many have failed when a technology was not effectively selected and managed.

Parts Selection and Management is a guide to increasing company profitability and reducing the time-to-profit through the efficient management of the process of parts selection and management. Taking an "eyes-on, hands-off" approach to parts selection, this guidebook addresses risk-assessment, decision-making steps, and subsequent management activities. The book covers everything from methodologies for parts selection and management, product requirements and specifications, and manufacturer assessment procedures to ways to track part changes through the supply chain, reliability assessment, and environmental, legislative, and legal issues.

Written by a seasoned professional, teacher, and author in the field, the book enables companies to:

  • Employ effective risk assessment and mitigation techniques
  • Make an informed company-wide decision about parts selection and management
  • Choose parts to fit the functionality of the product and other constraints
  • Maximize system supportability by preparing for parts obsolescence
  • Improve supply-chain interactions and communications with customers and regulatory agencies to minimize time-to-profit

Shedding light on a neglected butessential aspect of product development, Parts Selection and Management will give your organization the tools you need to avoid the risks associated with product use while promoting flexibility, innovation, and creativity in your product development.

Prognostics and Health Management of Electronics -  Fundamentals, Machine Learning, and the Internet of Things (Hardcover, 2nd... Prognostics and Health Management of Electronics - Fundamentals, Machine Learning, and the Internet of Things (Hardcover, 2nd Edition)
M.G. Pecht
R3,998 Discovery Miles 39 980 Ships in 12 - 17 working days

An indispensable guide for engineers and data scientists in design, testing, operation, manufacturing, and maintenance A road map to the current challenges and available opportunities for the research and development of Prognostics and Health Management (PHM), this important work covers all areas of electronics and explains how to: assess methods for damage estimation of components and systems due to field loading conditions assess the cost and benefits of prognostic implementations develop novel methods for in situ monitoring of products and systems in actual life-cycle conditions enable condition-based (predictive) maintenance increase system availability through an extension of maintenance cycles and/or timely repair actions; obtain knowledge of load history for future design, qualification, and root cause analysis reduce the occurrence of no fault found (NFF) subtract life-cycle costs of equipment from reduction in inspection costs, downtime, and inventory Prognostics and Health Management of Electronics also explains how to understand statistical techniques and machine learning methods used for diagnostics and prognostics. Using this valuable resource, electrical engineers, data scientists, and design engineers will be able to fully grasp the synergy between IoT, machine learning, and risk assessment.

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