Technical Library | 1999-05-06 12:11:42.0
The newest workstations and servers, targeting computationally-intensive applications and large-scale database management, use 64-bit microprocessors and provide the next generation of computing power.
Technical Library | 1999-05-07 10:04:13.0
Powerful desktop multiprocessor systems based on the Intel Architecture (iA) offer a formidable alternative to traditional scientific/engineering workstations for commercial application developers at an attractive costperformance ratio. However, the lack of adequate compiler and runtime library support for multithreading and parallel processing on Windows NT* makes it difficult or impossible to fully exploit the performance advantage of these multiprocessor systems. In this paper we describe the design, development, and initial performance results of the Illinois-Intel Multithreading Library (IML), which aims at providing an efficient and powerful (in terms of types of parallelism it supports) API for multithreaded application developers.
Technical Library | 2015-04-03 20:02:31.0
Understanding your process and how to minimize defects has always been important. Nowadays, its importance is increasing with the complexity of products and the customers demand for higher quality. Quality Management Solutions (QMS) that integrate real-time test and inspection results with engineering and production data, can allow the optimization of the entire manufacturing process. We will describe the cost and time benefits of a QMS system when integrated with engineering data and manufacturing processes. We will use real examples that can be derived from integrating this data. This paper also discusses the aspects of Quality Management Software that enables electronic manufacturers to efficiently deliver products while achieving higher quality, reduce manufacturing costs and cutting repair time. Key words: Quality Management Software, ICT, Repair workstations, First Pass Yield, Pareto analysis, Flying Probe, QMS.
Technical Library | 2019-05-02 13:47:39.0
Automating electronics assembly is complex because many devices are not manufactured on a scale that justifies the cost of setting up robotic systems, which need frequent readjustments as models change. Moreover, robots are only appropriate for a limited part of assembly because small, intricate devices are particularly difficult for them to assemble. Therefore, assembly line designers must minimize operational and readjustment costs by determining the optimal assignment of tasks and resources for workstations. Several research studies address task assignment issues, most of them dealing with robot costs as fixed amount, ignoring operational costs. In real factories, the cost of human resources is constant, whereas robot costs increase with uptime. Thus, human workload must be as large and robot workload as small as possible for the given number of humans and robots. We propose a new task assignment method that establishes a workload balancing that meet precedence and further constraints.
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