Integration time automatic optimization

However, many of these tools, while enabling markedly faster and more detailed analysis than paper-based methods, still mimic static, one-by-one paperlike reports with no real-time auditing capability. Moreover, these COTS do not have integrated data analysis and automated data screening capabilities and are not optimized for systematic analyses. Furthermore, the ad hoc analyses that these COTS produce lack interactive, automatic auditing reproducible functions. Thus these tools are often used to produce the same dense, unwieldy paper tables of counts and percentages that were created manually before personal computers became ubiquitous. 

Another perspective for production simulation is automatic capacity utilization optimization of multi-product systems. As discussed, this task may be very difficult because of the many different variables and boundary conditions. In an environment integrating optimization and simulation, the optimizer systematically varies the important decision variables in an external loop while the simulation model carries out production planning with the specified variables in the internal loop (see Gunther and Yang [3]). The target function, for example total costs or lead times, can be selected as required. The result of optimization is a detailed proposal for the sequence of the placed orders. 

Chovan et al.30 described a system that integrates different components of bioanalysis including automatic in vitro incubation, automatic method development (mainly SRM transitions for LC/MS/ MS analysis), and a generic LC method for sample analysis to minimize human intervention and streamline information flow. Automaton software (Applied Biosystems) was used for automatic MS method development. Flow injection was used instead of a HPLC column to decrease run time to 0.8 min per injection. Two injections were performed. The first was performed to locate the precursor ion and optimal declustering potential (DP). The second injection was performed to locate the product ion and optimal collision energy (CE). 

The advantages of this kind of organization system are clear. Any issues with accuracy of transcription are alleviated. Since peak tables are automatically extracted from the data traces, there is no need for cut-and-paste functions. However, the destination path must be set prior to the transfer, and also the proper integration thresholds must be configured. Data can be part of multiple optimization/screening waves at the same time. In addition, there are... 

Song, D.P. 2009. Optimal integrated ordering and production pohcy in a supply chain with stochastic lead-time, processing-time and demand. IEEE Trans, on Automatic Control, 54, 2027-2041. 

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