Improvement of lab productivity and operational efficiency using IoT / M2M

In the wake of the Coronavirus disaster, pharmaceutical companies as well as manufacturers of food and other daily necessities have been faced with the challenge of maintaining a stable supply of their products. Since these manufacturers cannot stop production, procedures to continue laboratory operations have been discussed and implemented. Under these circumstances, in order to continue daily analysis work, a new work style has emerged in which operators externally access the analytical data system in a lab through a VPN connection, process data on the server, and create reports. In order to minimize time in the lab, a system for remotely controlling an instrument or monitoring its operating status using a Web browser built into the instrument or the analytical data system is also utilized. Complicating matters is that analytical instruments require the management of consumables, periodic inspections, and established protocols to implement in the event of failure. However, for the purpose of minimizing infections during the pandemic, on-site staff at many companies has been limited. As a result, there is a risk that the management of the laboratory will be delayed, or that field engineers will have difficulty visiting the site even if the instrument fails. ln response to these issues, M2M (machine-to-machine) technology, which enables machines and information systems to exchange information with each other without human intervention, has been applied, allowing personnel to remotely monitor the operating status of instruments and to manage both the instruments and consumables from an external location. Even if instrument trouble occurs, the downtime can be reduced by performing a preliminary diagnosis remotely and performing appropriate repairs. ln this presentation, we will discuss the use of IoT / M2M technology to improve lab productivity and operational efficiency.

Content Type:
Poster
Document Number:
P168
Product Type:
Software and Informatics
Keywords:
Internet of Things (IoT), Machine to Machine (M2M), Analytical Intelligence
Language:
English
File Name:
Pittcon2021-P168-Improvement-of-lab-productivity-and-operational-efficiency-using-IoT-M2M.pdf
File Size:
1,802kb

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