Method for providing a container with food, the method comprising: providing a container for infant formula food, adding the food, sealing the container with a gas-tight membrane seal, adding an inner scannable code on the gas-tight membrane seal, closing the container with a tamper-proof closure means, so that the inner scannable code is not scannable without breaking a part of the tamper-proof closure means, and storing the inner scannable code in a database.

The present disclosure provides methods and systems for quantifying item performance in a digital shelf. A method for quantifying item performance in a digital shelf may comprise: calculating a value associated with a shelf share of the given item; determining a set of factors for calculating a score indicative of the item performance on the digital shelf, wherein the set of factors includes the shelf share; generating, using a trained machine learning algorithm, the score based on the set of factors; and displaying the score within a graphical user interface (GUI) on an electronic device.

A method and a system determine a change of state of an autonomous device, such as an autonomous vehicle. A plurality of performance parameter values obtained by monitoring at least one performance parameter during the autonomous operation of the device is received. A performance quantity quantifying the quality of autonomous operation of the device, in particular the quality of driving of the autonomous vehicle, is determined based on the obtained performance parameter values and information associated with a flux of software and/or hardware related to the autonomous operation of the device. Further, a change of state value for the device is determined based on the performance quantity.

The present invention relates to a method and system for quality compliance, system and operator verification, and process management for point of care biological sample testing systems used in hospitals and other medical delivery environments. Specifically, the present invention may be directed to a computing device configured to generate a plurality of attributes configured to assess a competency level of an operator to operate at least one sample testing instrument, obtain operator derived data pertaining to the operator's ability to operate the at least one sample testing instrument, and determine a competency level of the operator for the at least one sample testing instrument based the plurality of attributes and the operator derived data.

An arrangement for monitoring an aseptic manufacturing process includes product condition sensors capable of making closely spaced measurements of a product condition such as temperature or humidity. The measurements are made using closely spaced sensors arranged in a linear array on a single probe, which may be used to take measurements at multiple levels within the product. Data from the sensors is transmitted to a data collection point via short range wireless digital communications. The sensors may be used to measure temperature and humidity at a single point. For example, when the sensors are used in pharmaceutical freeze drying, the location of a sublimation front may be calculated for each vial, and the freeze drying process may be controlled using the data.

A management system for supervising an operator within an operation area with a processing apparatus installed therein has an imaging camera for capturing an image of the operator, and a control unit. The control unit stores an area map that includes information about the processing apparatus and the positions of the processing apparatus, acquires identifying information regarding the operator on the basis of the image captured by the imaging camera, and extracts traffic lines of the operator. A management unit records the traffic lines of the operator and the identifying information of the operator, in relation to each other on the area map.

A generic query having a dynamic query parameter may be executed for a specified process. One or more expected parameters for the query are determined based on the dynamic query parameter and the process, where the one or more expected parameters are tagged to the dynamic query parameter for the process. One or more measured parameters are accessed based on the one or more expected parameters from one or more databases accessible over a network. The one or more measured parameters are returned responsive to the query.

In operational methodology and a software package or other computer enabled business method, which enables users to apply the method and practice. A wide variety of means for identifying, evaluating and mitigating risk and performance factors within an organization are also provided.

An apparatus (10) for generating benchmarking metrics of current operational workflow performance of a hospital department includes at least one electronic processor (20) programmed to: generate a department profile (34) identifying resources of the hospital department including at least an active medical equipment inventory and a personnel profile; retrieve current statistics for the hospital department including at least one of patient arrival timeliness, patient no-show, and emergency department (ED) arrival statistics; compute values of one or more key performance indicator (KPI) metrics (40) for the current statistics; generate an executable workflow model (44) for workflow processes of the hospital department including temporal aspects of the workflow processes, the workflow model having variables representing at least patient arrival timeliness, patient no-show, and ED arrival; simulate a best case scenario (50) by executing the workflow model on inputs including the department profile and best case values for the variables of the workflow model and compute values of the one or more KPI metrics for the simulated best case scenario; simulate a worst case scenario (52) by executing the workflow model on inputs including the department profile and worst case values for the variables of the workflow model and compute values of the one or more KPI metrics for the simulated worst case scenario; and output, on at least one display device (24), the values of the one or more KPI metrics computed for the simulated best case scenario, the values of the one or more KPI metrics computed for the simulated worst case scenario, and the values of the one or more KPI metrics computed for the current statistics.

A dashboard having a plurality of selectable hierarchical dashboard levels is displayed, where a higher dashboard level of the dashboard displays a Key Performance Indicator (KPI) that represents an aggregation of a plurality of related KPI's at a next lower dashboard level. The dashboard displays service cases that are related to one or more of the building system components of the building. The service cases displayed at the next lower dashboard level are identified as having a negative impact on at least one of the plurality of related KPI's displayed at the next lower dashboard level and the service cases displayed on the higher dashboard level represent an aggregation of the service cases displayed at the next lower dashboard level.