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Product development teams are composed of an integrated group of professionals working from the nascent stage of new product planning through design creation and design review and then on to manufacturing planning and cost accounting. An increasingly large number of graduate and professional training programs are aimed at meeting that need by creating a better understanding of how to integrate and accelerate the entire product development process. This book is the perfect accompaniment and a comprehensive guide. The second edition of this instructional reference work presents invaluable insight into the concurrent nature of the multidisciplinary product development process. It can be used in the traditional classroom, in professional continuing education courses or for self-study. This book has a ready audience among graduate students in mechanical and industrial engineering, as well as in many MBA programs focused on manufacturing management. This is a global need that will find a receptive readership in the industrialized world particularly in the rapidly developing industrial economies of South Asia and Southeast Asia. - Reviews the precepts of Product design in a step-by-step structured process and focuses on the concurrent nature of product design - Helps the reader to understand the connection between initial design and interim and final design, including design review and materials selection - Offers insight into roles played by product functionality, ease-of assembly, maintenance and durability, and their interaction with cost estimation and manufacturability through the application of design principles to actual products

Enterprises require support and agility to work with big data repositories and relational databases. FUJITSU Enterprise Postgres is one of the leading relational database management systems (RDBMSs), and it is designed to work with large data sets. As more companies transform their infrastructures with hybrid cloud services, they require environments that protect the safety of their data and business rules. At IBM®, we believe that your data is yours and yours alone. The insights and advantages that come from your data are yours to use in the pursuit of your business objectives. IBM is dedicated to this mission, and the IBM LinuxONE platform is designed around this core statement. IBM LinuxONE is a secure and scalable data serving and computing platform that is made for today's critical workloads. IBM LinuxONE is an all-Linux enterprise platform for open innovation that combines the best of Linux and open technology with the best of enterprise computing in one system. Combining FUJITSU Enterprise Postgres, which is a robust Relational Database Management System (RDBMS) that provides strong query performance and high availability (HA), with IBM LinuxONE can transform your application and data portfolio by providing innovative data privacy, security, and cyber resiliency capabilities, which are all delivered with minimal downtime. This IBM Redbooks® publication describes data serving with FUJITSU Enterprise Postgres 12 that is deployed on IBM LinuxONE, which provides the scalability, business-critical availability, and security that your enterprise requires. This publication is useful to IT architects, system administrators, and others who are interested in understanding the significance of using FUJITSU Enterprise Postgres on IBM LinuxONE. This publication is written for those who are familiar with IBM LinuxONE and have some experience in the use of PostgreSQL.

Men in business. Six leaders share stories of success, celebration and hardship. Learn how to overcome challenges, communicate and lead.

Motivated by environmental and energy security concerns, many states and countries have enacted legislation calling for increased renewable adoption in the electricity sector. Unlike conventional fossil fuel-based electricity sources, renewable resources such as wind and solar power are characterized by intermittent, uncertain, and non-dispatchable output. Successfully addressing this variability in renewable generation is a prerequisite for deep renewable penetration. The prevailing paradigm in most power systems, exemplified by programs such as the Participant Intermittent Renewable Program (PIRP) in California, is one where the system operator accepts all renewable generation and absorbs the attendant variability through operating reserves. This approach works today at modest renewable generation levels but will result in untenable increases in reserve requirements tomorrow when renewables serve a sizeable fraction of total electric load. Hence, meeting ambitious renewable penetration targets will require the implementation of a number of variability mitigation strategies across the entire spectrum of power system operations. In this dissertation, we identify and explore areas in which control and optimization techniques can help provide some of these solutions. One such mitigation strategy is the coordinated aggregation of deferrable loads and storage, in which load is tailored to match variable supply. We investigate methods of exploiting these demand-side capabilities by developing and evaluating algorithms for the real-time scheduling of these flexible resources. We note that the benefits of coordinated aggregation can be achieved at modest levels of both deferrable load participation and flexibility. We also provide an analytical framework for understanding how these resources influence the costs of meeting load requirements incurred in wholesale electricity markets. Specifically, we explore the interplay between deferrable load scheduling and cost-minimizing procurements of bulk power and reserve capacity made in the day-ahead forward market. Another solution we consider, specific to wind power, involves curtailing generator output in certain situations. We explore how a wind power producer - subject to financial penalties for imbalances from contracted amounts - might leverage power curtailment capability to mitigate financial risk arising from price and production uncertainty. In particular, we analytically quantify the economic benefit derived from curtailment as an explicit function of expected prices, and compute empirical estimates of this curtailment benefit using price data from the various power system operators.

Traditionally, work measurement has been concerned with establishing consistent data on activity and job completion times for comparative, control, and/or remuneration purposes. The application of accurate work standards is not only crucial from the employees' point of view but is also very important for the employers as it gives a measure of the productivity, and also standardizes the time it takes for businesses to produce its products or services. About 14% of the adult population in the United States is disabled (either partially or totally). There is a continuous influx of partially disabled population into the workforce. With changing demographics and growing need to include special population into the work force, it is necessary to analyze, modify, and implement the tried and tested approaches to productivity and performance measurement and improvement. This results in a growing need to rehabilitate and provide better working conditions for the disabled individuals at the work place. This research investigates the need to revise work standards in order to accurately determine levels of productivity and job completion times for the disabled. Traditionally, work standards have been established based on measurements performed on healthy individuals. However, published studies have pointed out that the functional capability of individuals with disability decreases. This functional capability affects not only the magnitude and frequency of the task under consideration but also affect the time it takes for these individuals to perform the task. Thus, job and cycle times, work and production schedules, etc. developed based on standard times of healthy individuals' renders these documents incorrect. The two alternatives are either to generate completely new tasks times and thus standard times for individuals with specific disability or generate modifiers to existing standard time and thus generalize the entire process. The primary objective of this research is to develop modifiers for standard tasks defined in work measurement literature. These are the basic motions like reach, grasp, move, position, etc. In addition, the research work also aim in developing modifiers for higher level tasks such as assembly, disassembly, loading, unloading, and lifting activities. The modifiers thus developed would help practitioners arrive at new time standards and work analysis sheets for individuals with a specific disability (disability of the fingers in this case).

Design is the creative process by which our understanding of logic and science is joined with our understanding of human needs and wants to conceive and refine artifacts that serve specific human purposes. Quality Design is that process and activity that needs to be carried out to enable the manufacture of a product that fully meets customer requirements. The ultimate aim of design is essentially to satisfy all the direct and indirect needs of the internal, intermediate and final users. Hence, designing process forms the crux of all the operations in any organization. With strong competition from all over the world and strong customer awareness for quality, manufacturers have to look hard at how they can achieve a competitive edge that will keep them alive and hopefully take them into a leadership position. Much has been done in production to reduce the workforce, speed up production lines and generally address the quality of the manufactured product. The role of design in the product delivery process seems to have had much less emphasis applied to it and it may be in this area that we can now begin to make the most significant gains in product quality. But, not only is it necessary that the organization take steps to solve this problem on-hand but also, it is very much important that the steps in the direction be taken at earnest because the users needs are dynamic in nature and more often than not it has been researched that his wants and needs change by the time a solution is developed. It is here that the role of Information-technology plays a very important part. The advantages of the integration of technology with the design process cannot be neglected. The use of programs to develop an optimal design has increased the efficiency and the quality of manufacturing. The implementation of a software interface to design for disassembly will facilitate not only in determining accurately the existing times for disassembly and identifying anomalies in the product design from the disassembly perspective but also gives it a more professional, organized and logical approach. However, the final decision regarding design alteration would be a human one and would be based on the technical, economic and operational feasibility.

This work presents a high-temperature non-contact sensor interface design for MEMS capacitive sensors. The sensors are proposed for an active fuel emission control (AFEC) system that incorporates a smart fuel injector, and must operate in a very harsh and corrosive environment. It is reasoned that a non-contact sensing is required to minimize the possibility of wire breakage and the active circuits can work at a comparatively low temperature outside the fuel injector such that bulk CMOS technology can be used for fabrication. The test chips used for the system were fabricated in the in the 0.5-um CMOS process from ON semiconductor. The design challenges and the techniques used to overcome these challenges for the high-temperature application of CMOS are discussed. A test system was designed on a fiberglass PCB to mimic the AFEC sensor interface system. The application specific integrated circuit used in the AFEC system was tested at room temperature and at elevated temperature and is discussed in this work. The non-contact system is tested and compared to the simulated/theoretical results, which are also presented as a part of this work. The measurements have confirmed the functionality of the approach and are in excellent agreement with theory.

This work presents a wireless and battery-less clog detection and flow measurement system for hydrocephalus shunts. Hydrocephalus is a condition where excess of cerebrospinal fluid (CSF) is accumulated in the brain. This is treated by diverting excess of CSF using an implanted shunt to another part of the body. The shunt catheter has an inside diameter of 1 mm and a thickness of 0.5 mm. At present, the failure rate of shunts is more than 50% in the first two years after implant. This work presents a prototype system that will detect the location of clog in the shunt, thus increasing the reliability and diagnosability of the current system. The system also monitors the CSF flow rate through the shunt. This information can be used to adjust the programmable valve in the shunts to optimize the flow rate after shunt placement. Additionally, the system can measure other parameters like Intracranial Pressure (ICP), Intra-abdominal Pressure (IAP), and the pressure inside other locations in the shunt such as valve opening pressure. Monitoring the above parameters will help to better understand the shunt hydrokinetics and design better shunts in future. The proposed system uses multiple pressure sensors inside the shunt catheters for sensing the location of clog. The pressure differences between two sensors are used to calculate the flow of CSF in the shunt. With the data reported by the sensors, Bernoulli's equation and principle of fluid mechanics are used to reliably calculate the CSF flow rate. For better form factor and reliability, a system powered from outside of skin is proposed. The implanted sensor system harvests power from the RFID reader device placed outside the body and transmits the sensor data back to the RFID reader Our platform displays the location of clog and the rate of flow through a customized graphical user interface in a PC. Based on our experimental data, the accuracy of the clog detection is 100% for full occlusion. The flow measurement is 90% accurate when compared with the ground truth flow measured by a flow meter.