Division of labor for sample analysis
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Previously, the laboratory assigned tasks to samples based on the equipment used, such as chlor-alkali plants, propylene oxide plants, trichloroethylene plants, etc. One person was responsible for all the analysis tests related to a given sample; for example, that same person would handle tests for moisture, acidity, color, and various components in propylene oxide. The new leadership now requires that tasks be divided according to the analysis items: one person is responsible for measuring the moisture content in all samples from the entire factory, while another person is in charge of analyzing the component composition, and so on. Which type of division of labor do people prefer?
Everyone prefers a division of labor based on devices. This approach allows everyone to gain a deeper understanding of the sample analysis for specific devices, thereby improving the accuracy and efficiency of the analysis. Moreover, the division of tasks according to analysis items may result in a lack of comprehensive understanding of samples from different devices, affecting the quality of analysis. .
The purpose of division of labor is to improve efficiency, clarify responsibilities, and complete the inspection tasks in the production process accurately and promptly. Various forms of division of labor each have their advantages and disadvantages. The preferences of laboratory staff are usually closely related to work convenience, autonomy, communication efficiency, and familiarity with samples. Taking into account the advantages and disadvantages of both division methods, most frontline analysts are likely to prefer a division based on devices. The main reason for this is that such an approach is more in line with daily operational habits, it reduces communication costs and the hassle associated with handovers, while also enhancing overall control over the samples. If the difference in work intensity is taken into account, rotational scheduling can be considered.
In general laboratories, teams are organized according to the different equipment units; each team is responsible for analyzing samples from its own equipment. There is little interaction between different teams, with most communication taking place within each team, which makes it easier to get started.