Silicon Valley versus Corporate Welfare

The estimated $65 billion a year that the federal government now spends on corporate welfare programs harms U.S. industry in general and Silicon Valley companies in particular. The competitiveness of America's semiconductor firms and other high-technology industries would benefit if corporate subsidies were eliminated altogether and the savings were devoted to reducing corporate income taxes, the capital gains tax, or the personal income tax. Given Congress's reluctance to vote down corporate pork, one strategy for eliminating corporate welfare would be to form an independent commission to identify unnecessary subsidies. That would force Congress to vote yes or no on a package of corporate spending subsidies. More than 50 Silicon Valley CEOs agree with this critical assessment of federal subsidies to industry and have signed a "Declaration of Independence" from corporate welfare. In the statement, which appears in the Appendix of this study, the CEOs urge Congress to end corporate welfare "even if it means funding cuts to my own company.

Programmable photonics : an opportunity for an accessible large-volume PIC ecosystem

We look at the opportunities presented by the new concepts of generic programmable photonic integrated circuits (PIC) to deploy photonics on a larger scale. Programmable PICs consist of waveguide meshes of tunable couplers and phase shifters that can be reconfigured in software to define diverse functions and arbitrary connectivity between the input and output ports. Off-the-shelf programmable PICs can dramatically shorten the development time and deployment costs of new photonic products, as they bypass the design-fabrication cycle of a custom PIC. These chips, which actually consist of an entire technology stack of photonics, electronics packaging and software, can potentially be manufactured cheaper and in larger volumes than application-specific PICs. We look into the technology requirements of these generic programmable PICs and discuss the economy of scale. Finally, we make a qualitative analysis of the possible application spaces where generic programmable PICs can play an enabling role, especially to companies who do not have an in-depth background in PIC technology

The New Zealand Dairy Cooperatives’ Adaptation to Changing Market Conditions

This article examines the market conditions, the strategies, and the organizational structures of agricultural cooperatives. Based on the growing literature on cooperative organizational models, it is expected that the new organizational patterns in the New Zealand dairy cooperatives in the early 2000s are a consequence of market changes. Case studies of the three cooperatives are conducted, focusing on the organizational structures in terms of collective versus individualized attributes. The dissolution of the New Zealand Dairy Board created new market opportunities for the cooperatives. Hence, the co-operatives had reason to develop new market strategies, and in order to pursue these well, they changed their organizational structures. The observations indicate that more liberalized and open markets require cooperative organizational models with more individualized traits.Cooperative, Dairy, New Zealand, Fonterra, Market strategy, Organizational model, Agribusiness, Livestock Production/Industries,

Exploiting heterogeneity in Chip-Multiprocessor Design

In the past decade, semiconductor manufacturers are persistent in building faster and smaller transistors in order to boost the processor performance as projected by Moore’s Law. Recently, as we enter the deep submicron regime, continuing the same processor development pace becomes an increasingly difficult issue due to constraints on power, temperature, and the scalability of transistors. To overcome these challenges, researchers propose several innovations at both architecture and device levels that are able to partially solve the problems. These diversities in processor architecture and manufacturing materials provide solutions to continuing Moore’s Law by effectively exploiting the heterogeneity, however, they also introduce a set of unprecedented challenges that have been rarely addressed in prior works. In this dissertation, we present a series of in-depth studies to comprehensively investigate the design and optimization of future multi-core and many-core platforms through exploiting heteroge-neities. First, we explore a large design space of heterogeneous chip multiprocessors by exploiting the architectural- and device-level heterogeneities, aiming to identify the optimal design patterns leading to attractive energy- and cost-efficiencies in the pre-silicon stage. After this high-level study, we pay specific attention to the architectural asymmetry, aiming at developing a heterogeneity-aware task scheduler to optimize the energy-efficiency on a given single-ISA heterogeneous multi-processor. An advanced statistical tool is employed to facilitate the algorithm development. In the third study, we shift our concentration to the device-level heterogeneity and propose to effectively leverage the advantages provided by different materials to solve the increasingly important reliability issue for future processors

An Investigation into the Data Collection Process for the Development of Cost Models

This thesis is the result of many years of research in the field of manufacturing cost modelling. It particularly focuses on the Data Collection Process for the development of manufacturing cost models in the UK Aerospace Industry with no less important contributions from other areas such as construction, process and software development. The importance of adopting an effective model development process is discussed and a new CMD Methodology is proposed. In this respect, little research has considered the development of the cost model from the point of view of a standard and systematic Methodology, which is essential if an optimum process is to be achieved. A Model Scoping 3 Framework, a functional Data Source and Data Collection Library and a referential Data Type Library are the core elements of the proposed Cost Model Development Methodology. The research identified a number of individual data collection methods, along with a comprehensive list of data sources and data types, from which essential data for developing cost models could be collected. A Taxonomy based upon sets of generic characteristics for describing the individual data collection, data sources and data types was developed. The methods, tools and techniques were identified and categorised according to these generic characteristics. This provides information for selecting between alternative methods, tools and techniques. The need to perform frequent iterations of data collection, data identification, data analysis and decision making tasks until an acceptable cost model has been developed has become an inherent feature of the CMDP. It is expected that the proposed model scoping framework will assist cost engineering and estimating practitioners in: defining the features, activities of the process and the attributes of the product for which a cost model is required, and also in identifying the cost model characteristics before the tasks of data identification and collection start. It offers a structured way of looking at the relationship between data sources, cost model characteristics and data collection tools and procedures. The aim was to make the planning process for developing cost models more effective and efficient and consequently reduce the time to generate cost models

The Effect of Implementing Different Maintenance Policies on the Production Rate of a Flexible Manufacturing Cell

Today, world-class competitiveness is a must for companies. Competitive world made the companies increase the productivity, quality of the product, lower price and better service and support with respect to safety and environment perspectives. Maintenance is one of the tools that can help the companies reach these objectives. Flexible manufacturing cells (FMCs) as a group of machines designed to produce a variety of similar products, often operate with increasing failure rate due to extensive utilization and wear-outs of equipment. While maintenance plans can eliminate wearout failures, random failures are still unavoidable. This research develops several simulation studies to compare the performance of a flexible manufacturing cell under six different maintenance polices namely: No maintenance policy, Corrective maintenance policy, Block-based policy, Age-based policy, Opportunity-triggered policy and conditional opportunity triggered policy. The simulation studies used in this thesis demonstrate production rate subject to maintenance policies under different mean time between failures. The software chosen for the simulation is Show Flow. The main focus of this work is to compare traditional corrective maintenance policies with different preventive maintenance policies that utilize real-time sensory information to assist in decisions regarding maintenance management and component replacement. It can be concluded that any FMC system under consideration must be analyzed with respect to several maintenance policies and the best policy should be selected before implementing a policy. The maintenance policy of FMC which is monitored in this research is block-based policy. Maintenance and production rate Information of this policy is used as a base to simulate for the other five policies. The analysis shows that different maintenances schedules have important effects on production rate of FMC. The best policy is Opportunity-triggered maintenance policy (OTP) with the best production rate near to fully reliable cell and the worst policy is the corrective maintenance policy (CMP) with the worst production rate in all of the MTBF to compare with other policies. From these results it could be said with a few changes in schedule time of preventive maintenance, a company can have better production rate. This research has been conducted using information obtained from Proton Company (car factory) in Malaysia but the results are not limited to this company or other car factories. It can be used for every factory that has flexible manufacturing cell

Survey on Additive Manufacturing, Cloud 3D Printing and Services

Cloud Manufacturing (CM) is the concept of using manufacturing resources in a service oriented way over the Internet. Recent developments in Additive Manufacturing (AM) are making it possible to utilise resources ad-hoc as replacement for traditional manufacturing resources in case of spontaneous problems in the established manufacturing processes. In order to be of use in these scenarios the AM resources must adhere to a strict principle of transparency and service composition in adherence to the Cloud Computing (CC) paradigm. With this review we provide an overview over CM, AM and relevant domains as well as present the historical development of scientific research in these fields, starting from 2002. Part of this work is also a meta-review on the domain to further detail its development and structure