Production Logistics of a Microbiology Laboratory

以一种14岁的孩子可以理解的方式描述拟议的研究[最多4000个字符]这个项目涉及数学建模和优化技术的发展。它侧重于对国家食品安全具有重要意义的最先进的微生物实验室的顺利运行。该实验室由RHM Technology Ltd.运营，以最高的质量标准，通过条形码控制单个样品。该实验室以前沿着传统的手工测试和操作员决策方式。最近，引进了自动化测试设备和实验室管理信息系统。尽管有这些改进，实验室的运行尚未优化，以利用所提出的新机会。人们发现，需求的激增给系统带来了意想不到的压力。本项目的目的是将实验室视为生产过程。微生物学实验室的配置是在分类数学调度问题的边界。它包括并行进行的连续活动和顺序活动。此外，一个核心问题是协调测试（类似于生产）与结果报告（交付），这与许多供应链一样。因此，实验室设置将提供新的数学和算法挑战。我们的目标是建立在现有的数学生产调度的学术知识的财富，并开发新的方法，为微生物实验室提出的各种新颖的方面。这个项目提供了一个难得的机会，研究应用程序的细节，而不是致力于定制的交付物。赞助公司RHM Technology Ltd.正在寻找他们微生物实验室工作的新见解。学者们有兴趣有机会测试他们的理论和开发新的解决方案。如果由此产生的调度方法是足够全面的，RHM致力于试用它，概念验证模拟演习后。预计该项目将引起物流方面的真实的生活调度尚未探索的数学文献。

Describe the proposed research in a style that would be accessible to an interested 14 year old [up to 4000 chars] This project is concerned with the development of mathematical modelling and optimisation techniques. It focuses on the smooth running of a state-of-the-art microbiology laboratory, of importance for national food safety. The laboratory is run, by RHM Technology Ltd., to the highest quality standards, with individual samples controlled with bar coding. The laboratory was formerly run along traditional lines with manual testing and operator decision. More recently, automated testing equipment, and a Laboratory Management Information System, have been introduced. Despite these improvements, the running of the laboratory has not been optimised to exploit the new opportunities presented. Surges in demand have been found to put unexpected strain on the system. The purpose of this project is to treat the laboratory as a production process. The configuration of the microbiology laboratory is at the boundary of classified mathematical scheduling problems. It contains a mixture of batching and sequential activities to be carried out in parallel. In addition, a central issue is that of co-ordinating tests (analogous to production) with reporting of results (deliveries), in common with many supply chains. The laboratory setting will thus provide new mathematical and algorithmic challenges. Our aim is to build upon the wealth of existing academic knowledge of mathematical production scheduling and to deveop new methodologies for the various novel aspects presented by the microbiology laboratory.This project offers a rare opportunity to study an application in detail without being committed to customised deliverables. The sponsoring company, RHM Technology Ltd., are looking for new insights into the workings of their microbiology laboratory. The academics are interested in having the opportunity to test out their theory and developing new solution methods. If the resultant scheduling methodology is sufficiently comprehensive, RHM is committed to trialling it, following a proof of concept simulation exercise. It is anticipated that this project will give rise to aspects of the logistics of real life scheduling as yet unexplored in the mathematical literature.