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Laboratory service evaluation: laboratory product model and the supply chain

机译:实验室服务评估:实验室产品模型和供应链

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摘要

Purpose - To describe a new approach to the performance evaluation and benchmarking of analytical laboratory services and their associated supply chains. Design/methodology/approach - Life cycle and industrial process approaches are adapted for consideration of the environmental performance of multidisciplinary laboratories as found in large multifunctional facilities. Models are developed to facilitate performance evaluation. Findings - The laboratory product model (LPM) considers laboratory service delivery from a whole-of-life perspective. It defines an information product as a standard unit of production that facilitates performance evaluation of laboratories using both normalised and absolute values. Performance evaluation boundaries are extended beyond the internal laboratory processes to incorporate the supply chain, i.e. from sample collection to the end use of the information product. Research limitations/implications - Application of the research is limited by the availability of relevant corporate data. Future work could address routine collection of data appropriate to environmental performance evaluation so as to reduce the need for extensive life cycle inventories. Practical implications - Focus is on a practical approach to improving the environmental performance of laboratory services through objective evaluation of laboratory and facility performance. The research provides a means of comparing laboratories founded in different disciplines, e.g. chemistry and microbiology. Originality/value - Addresses laboratory supply chain issues by providing new tools for performance evaluation and benchmarking of laboratories. It uses new approaches to laboratory performance evaluation that help achieve sustainability.
机译:目的-描述分析实验室服务及其相关供应链的绩效评估和基准测试的新方法。设计/方法/方法-调整生命周期和工业过程方法以考虑大型多功能设施中的多学科实验室的环境绩效。开发模型以促进绩效评估。调查结果-实验室产品模型(LPM)从整个生命周期的角度考虑了实验室服务的提供。它定义了一种信息产品作为生产的标准单位,该标准产品有助于使用标准化和绝对值对实验室进行性能评估。绩效评估的范围已超出内部实验室流程的范围,以纳入供应链,即从样品收集到信息产品的最终使用。研究的局限性/意义-研究的应用受到相关公司数据可用性的限制。未来的工作可能会涉及适合于环境绩效评估的常规数据收集,以减少对大量生命周期清单的需求。实际意义-重点在于通过客观评估实验室和设施绩效来改善实验室服务的环境绩效的实用方法。该研究提供了一种比较不同学科中建立的实验室的方法,例如化学和微生物学。原创性/价值-通过提供用于绩效评估和基准测试的新工具来解决实验室供应链问题。它使用新方法进行实验室性能评估,以帮助实现可持续性。

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