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Methods and principles of Lean Production have become the major concepts to create highly efficient processes since the early 1990s. Due to its high effectiveness by reducing complexity and focusing on value-adding tasks, the Lean concept is still successful. Nevertheless, its changeability to produce highly customised products is limited. Industry 4.0 describes the vision of a smart production which can meet these future market requirements. Enablers are innovative information and communication technologies and the integration of all production entities into a common digital network. Lean Automation is the application of Industry 4.0 technologies to Lean Production methods in order to combine benefits from both domains. First proprietary Lean Automation solutions exist, but to enhance changeability in production, a common, unified communication interface is required. This paper presents the ongoing work towards an interface for digitising Lean Production methods using Cyber Physical Systems. 相似文献
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NALLAN C. SURESH 《国际生产研究杂志》2013,51(9):1657-1672
This paper presents a decision-support-system (DSS) structure for flexible automation investments. It takes into account: (1) a comprehensive investment context for multimachine systems; (2) developments in modelling flexibility in economic evaluation; and (3) an integrated physical/financial design and evaluation, for capitalizing on recent developments in DSS technologies and automated decision/risk-analysis tools. 相似文献
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This paper presents a step towards the design of a novel test for simultaneous identification of all the stiffness components of orthotropic composite materials. A simulator was adopted to numerically simulate the whole identification process. Synthetic images were generated and then processed by Digital Image Correlation (DIC) to calculate the strain fields. The Virtual Fields Method (VFM) was used to identify the material stiffness parameters and error functions were finally defined to evaluate the identification error. Two steps of optimization were applied to obtain the best design variables of different specimens and the optimal DIC processing parameters. Four types of test configuration were simulated including short off-axis tensile test, short off-axis open-hole tensile test, off-axis Brazilian disc and off-axis unnotched Iosipescu test and the most promising configuration was identified. 相似文献
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Bailey AO Miller TM Dong MQ Vande Velde C Cleveland DW Yates JR 《Analytical chemistry》2007,79(16):6410-6418
Multidimensional liquid chromatography in combination with tandem mass spectrometry has been used to analyze a variety of biological structures including protein complexes. Incorporating this approach with autosampling devices presents a number of problems including decreased sensitivity due to exposure to extra surfaces, carryover from run to run, and increased dead volume. We developed a device, termed Radial Column Array for Distribution and Automation (RCADiA), to automate multiple MuDPIT experiments while eliminating many of these problems and maintaining a high resolution and sensitive analysis. The design, which places each sample downstream of any common fluid path, presents a low risk of carryover between successive analyses. Beyond the convenience of automation, the RCADiA platform also produces data of similar quality to the standard method of performing individual MuDPIT experiments. We demonstrate this device by performing a comparative analysis of mitochondria enriched from rat liver and spinal cord. 相似文献
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AMIYA K. CHAKRAVARTY 《国际生产研究杂志》2013,51(9):1339-1354
The gamut of manufacturing automation and its ramifications in relation, to the strategic and operational issues can be appreciated only if the forces driving the system towards automation and their interrelationships are understood, Whether the automated technology is rigid (hard automation) or flexible; whether the control architecture for the system is interactive, passive, or intelligent; and whether the system is a direct evolution from a corresponding conventional (non-automated) system are some of the important considerations. A framework is required to relate the system parameters, leading to different configurations, with the strategic issues such as mix of configurations and path of evolution from one to another (or a mix) configuration, and operational issues such as a hierarchical (push) versus pull production control and the software logic support. Such a framework in terms of technological sophistication levels and control software sophistication levels is presented. 相似文献
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Juergen Sauer Alain Chavaillaz David Wastell 《Theoretical Issues in Ergonomics Science》2017,18(3):279-297
This article examines the effectiveness of different forms of performance-based adaptive automation (PBAA). Using data from three experiments (N = 10, N = 38, N = 40), different models of algorithm design were compared for their effectiveness in driving PBAA. The following components were varied: type of task (i.e. primary or secondary tasks), baseline of performance data (e.g. moving average), and triggering criterion (i.e. level of deviation from standard performance). The data were generated by operators working with a computer-based simulation of a process control environment. The results showed that none of the models enjoyed a convincing level of effectiveness. The automation algorithms generally achieved higher levels of miss prevention than false alarm prevention. Surprisingly, primary task performance was generally better at driving PBAA than secondary task performance. The results suggest that it may be difficult to design an effective algorithm of PBAA if the work environment is highly complex. 相似文献
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V. L. Shinkarenko 《Measurement Techniques》1969,12(11):1525-1531
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Victoria A. Banks Katherine L. Plant Neville A. Stanton 《Theoretical Issues in Ergonomics Science》2019,20(3):250-264
ABSTRACTTechnological solutions incorporating automated functionality have been seen as tools that can be used to reduce human error in both aviation and driving environments whilst bringing about improvements to operational safety and reduced accident rates. Historically, aviation has led the way, but over recent years, developments in the field of driving automation have accelerated rapidly. This paper looks more closely at what aviation may now learn from driving by assessing the underlying motivations and use of automation within their respective fields, as well as the differing design philosophies used to implement such systems. 相似文献
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