Abstract: Example methods and apparatus to limit a change of a drive value in an electro-pneumatic controller are disclosed. A disclosed example method includes receiving a control signal and a feedback signal, calculating from the control signal and the feedback signal a drive value, determining if a difference between the drive value and a previous drive value is greater than a slew limit of the electro-pneumatic controller, and changing the calculated drive value based on the slew limit.

Abstract: An advanced process control (APC) system. The APC system comprises a database for receiving process data from a measurement tool for a plurality of process runs and for storing the process data. A lambda tuner determines a tuned-lambda value corresponding to a process-capability-index value based on upper and lower process control limits and statistics derived from the process data. A process-run controller updates a recipe value based on the received process data and the tuned-lambda value.

Abstract: A resource consumption management system for an environment measures resource use and occupancy and data is accessible via a graphical user interface that can show the contribution made by individuals. A location system tracks the location of individuals in the environment. Individuals are able to log preference values for the level at which resource consuming devices are running and those preference values are taken into account by a building management system in controlling the resource consuming devices at the tracked location of the individuals. Where the resource is energy, the system can show an individual the real time carbon footprint of energy usage in the environment at an individual level. Further, comparisons can be made between an environment and a reference measure of resource consumption such as that of another floor or another building.

Abstract: The invention relates to a method for increasing the capacity of an installation used to carry out an industrial process in an economical and sustainable manner. Said method consists of the following steps: process variables relevant to the capacity of the installation are determined; said process variables are monitored during variable operating conditions of the installation; and a very small control reserve of the control loops of the installation is established on the basis of the monitored process variables.

Abstract: A method for the computer-assisted exploration of states of a technical system is provided. The states of the technical system are run by carrying out an action in a respective state of the technical system, the action leading to a new state. A safety function and a feedback rule are used to ensure that a large volume of data of states and actions is run during exploration and that at the same time no inadmissible actions occur which could lead directly or indirectly to the technical system being damaged or to a defective operating state. The method allows a large number of states and actions relating to the technical system to be collected and may be used for any technical system, especially the exploration of states in a gas turbine. The method may be used both in the real operation and during simulation of the operation of a technical system.

Abstract: A power model that relates the settings of resource actuators to power consumption levels of the resource actuators and a condition model that relates the settings of the resource actuators to an environmental condition at the location of the at least one entity and a power consumption level of the at least one entity are developed. A constraint optimization problem having an objective function and at least one constraint is formulated, where the objective function computes at least a proportional quantity of a total power consumption level of the resource actuators and the at least one constraint comprises a setpoint environmental condition at a location of the at least entity. A solution to the constraint optimization problem is determined, where the solution provides optimal values for the resource actuator settings.

Abstract: A control of a multi-variable process throughout a plurality of successive, distinct operational phases of the process involves accumulation of sets of values of the process and quality variables (a-j) from previous multiple operations of the process through all its phases, as respective datasets of a historical record. Each dataset includes an identifier (p) of the phase to which it relates. The current values of the applicable process variables (Qa-Qh) during each phase and the phase identifier (p) are indicated on respective axes (Xp,Xa-Xh) of a multi-dimensional display in relation to an operational envelope which defines bounds (UL,LL) for the values of the individual process and quality variables (a-j) relevant to that phase and which is derived from the datasets of the historical record identified with that phase. Changes in the current process variables (Qa-Qh) result in changes of the bounds (UL,LL), and alarm is given when a current value departs from within them.

Abstract: A method for managing the operation of an electronic system by taking into account various cost constraints of the system is disclosed. In one aspect, the method includes selecting a working mode for a plurality of tasks in a pro-active way using predictive control mechanism while guaranteeing hard real time constraints. The system is operated at the selected working mode for the corresponding tasks.

Abstract: According to the present, there is proved a semiconductor fabrication apparatus management system having: a sensor which monitors and outputs a plurality of apparatus parameters of a semiconductor fabrication apparatus which fabricates a semiconductor device; a measurement unit which measures a dimensional value of the semiconductor device, and outputs the dimensional value as dimensional data; an apparatus parameter storage unit which stores the apparatus parameters; a dimensional data storage unit which stores the dimensional data; an apparatus parameter controller which calculates predicted dimensional data by extracting the dimensional data from the dimensional data storage unit, and controls at least one of the plurality of apparatus parameters on the basis of the predicted dimensional data; and an abnormality factor extraction unit which analyzes correlations between the controlled apparatus parameter and other apparatus parameters, and extracts an abnormal apparatus parameter on the basis of a calculat

Abstract: A method, computer program product and system are provided for modeling non-controllable parameters affecting system performance. The method may include receiving historical values for each of a plurality of system parameters and grouping the system parameters into controllable, non-controllable, and performance parameters. The method may further include determining a first set of predictors from the non-controllable parameters using the historical values of these non-controllable parameters and, for each predictor in the first set, determining optimal time instances at which a value of each predictor is measured using non-uniform time scales. These optimal time instances may then be saved as a second set of predictors. One or more constraints may then be established for each of the controllable parameters. Finally, a dynamic model based on the second set of predictors, the controllable parameters, and the performance parameters may be constructed and optimized.

Abstract: A method of process control including constraining a tolerance ring relative to one of an inner and an outer component. The tolerance ring including an annular band of resilient material having a plurality of projections projecting radially therefrom. Additionally, the method includes moving the other of the inner or outer component with respect to the constrained tolerance ring so as to compress the projections of the tolerance ring between the inner and outer components, and continuing movement of the inner or outer component, respectively, beyond the projections. The method further including measuring a force required for continuing movement, and using the force for process control.

Abstract: Reduction deviations are rendered as dependent coordinate mappings of two-dimensional displacements which characterize restraints associated with deviations of observation sampling measurements from a fitting function. The mappings are considered to be represented by both projections and path coincident deviations. Data inversions are generated as loci and discriminated by criteria corresponding to deviations associated with alternate forms for representing essential weighting. Deficiencies related to nonlinearities and heterogeneous precision are compensated by essential weight factors.

Abstract: A system and method is disclosed for the automated real-time collection, extraction, transformation, analysis and presentation of statistical process control (SPC) information. One or more monitored systems or processes generate operational process control information that is stored in its native form. An SPC system iteratively accesses this information, transforms it as required, and performs statistical processing to generate database tables, control charts and other predetermined forms of data output. The statistical processing output is then extracted by an automated SPC data extraction system in real-time. The extracted data is placed in a data wrapper and submitted, likewise in real-time, to one or more statistical analysis systems or models, which process the data to derive new specification limits. The new specification limits are applied to monitored systems and processes resulting in the generation of new operational measurements, which are in turn collected and processed.

Abstract: A control arrangement for an electric drive with a control which processes desired values and actual values of the electric drive in relation to a desired-actual control is provided. A determination device determines a derived variable in an iterative manner in accordance with the actual values and the derived variable is fed to an evaluation device. The evaluation device associates the derived variables with position values of the drive and determines, after accumulating several derived variables, characteristic values of a systematic error in the desired values and/or the actual values. In accordance with the determined characteristic values, the evaluation device determines correction values and switches the correction values to the desired values, the actual values or the difference of desired and actual values.

Abstract: A system and method for multi-goal path planning of welding robots with automatic sequencing. Input parameters associated with a number of goal points are obtained. The robot is moved through the multiple goal points based on the obtained inputs. One or more allowed cyclic paths are identified based on the obtained inputs. Weights are assigned to pre-defined attributes for path segments for each of the allowed cyclic paths. A cumulative score based on the values and assigned weights of the pre-defined attributes is calculated. An optimal path for the movement of robot across the goal points is identified based on the cumulative score.

Abstract: An automatic layout method for performing an automatic layout of components on a diagram, the automatic layout method includes: generating a layout engine control object based on an operation of an application program; selecting at least one layout engine object from a plurality of layout engine objects for calculating coordinates of the components by different algorithms, at least one layout engine object being selected based on an instruction of the application program by the layout engine control object; and creating the diagram by the application program based on the coordinates calculated by the selected layout engine object.

Abstract: An extremum seeking control method optimizes a control process for a plant such as an air handling unit. The method improves the performance of an extremum seeking control strategy by limiting, removing or preventing the effects of an actuator saturation condition, particularly as the extremum seeking control strategy relates to HVAC applications.

Abstract: An embodiment of a feedback control method and unit of a servo controlled system which acts on the environment surrounding a user for adjusting at least one feature of the environment which affects the psychophysical state of the user; the control unit has: a memory device in which there is stored a desired optimal value or a range of desired optimal values of a psychophysical feedback parameter of the user correlated with the perception that the user has of the feature of the environment adjusted by the servo controlled system; an estimation device for cyclically estimating a real value of the psychophysical feedback parameter of the user by means of at least one measurement performed directly on the user; and a driving device for cyclically driving the servo controlled system for seeking the optimal desired value of the psychophysical feedback parameter.

Abstract: To accurately control controlled object in a time variant system with a dead time such as a Czochralski method single crystal production device (CZ equipment). The dead time, the time constant, and the process gain value of a controlled object (CZ equipment) (200) are set. The process gain preset value has specified time variant characteristics. An output value y and its first-order and second-order time differentiated values are used as the state variable x of the controlled object (200). A nonlinear state predicting unit (206) predicts a state variable value x(t+Ld) at a future point in time after the dead time, based upon the current output value y, the dead time, the time constant, and the process gain preset value.

Abstract: An apparatus and system are provided for facilitating a mechanism in which to collect and consolidate goods at a location for recycling. The apparatus includes a processor capable of defining a time period(s) and determining type(s) of recyclable goods and associating a defined time period(s) with one of the recyclable goods based on the type. A portion of the goods may be picked up from an entity upon expiration of the time period. The processor is also capable of receiving an indication that the portion of the goods are delivered to a location and consolidated with other goods of the same type. The other goods are delivered to the location from other entities and the processor is capable of determining whether the consolidated goods exceed a predetermined threshold and if so the processor is capable of generating an instruction to deliver the consolidated goods to a facility for recycling.

Abstract: An object can be used in an industrial control configuration in relation to performing a function or task. Matching can occur such that an object with operational requirements can bind with a host that has capabilities that meet those operational requirements—matching can occur automatically as well as through user operation. Once matched, different functionality can be presented to a user pertaining to the object. To assist the user, the object can include external references, logic, local or private data, as well as others in addition to resources. To facilitate operation, capabilities and resources can be published in a directory that can be accessed by different entities—sometimes with security constraints in order to protect configuration integrity. Likewise, a subscription system can be employed such that when a change to a related entity is made, a notice can transfer to related entities and operation can alter based upon the change.

Abstract: A technique is disclosed for asymmetrically controlling a process parameter based upon the direction of a prediction error between a predicted value determined using an inferential model and a laboratory measurement of the parameter. The present technique provides for the adaptive biasing of the predicted value based upon the direction of the prediction error. In one embodiment, a biasing factor may be determined by filtering the prediction error, such that the prediction error is emphasized more heavily in the biasing factor if the prediction error is in a less tolerable direction and emphasized less heavily if the prediction error is in the opposite direction. The biasing factor may further be determined as a function of a previous biasing factor computed during the process. Asymmetric control of the process parameter may be performed by controlling the parameter using model predictive control techniques based on the biased predicted values of the parameter.

Abstract: In a system for real-time process control according to the invention, a processing unit (201) running either a real-time operating system or a hybrid real-time/non real-time operating system (231, 232) acts as a real-time computation server. Actuating or sensing units (211, 212, 213) equipped with an onboard communication interface (221, 222, 223) for client-server communication, act as clients. The actuating or sensing units (211, 212, 213) thereto send messages to the processing unit (201) requesting timely execution of a computational task. The message implicitly or explicitly specifies a time constraint for the processing unit (201) to respond. The onboard communication interface (221) comprises a clock (314) enabling the actuating or sensing unit (211, 212, 213) to decide autonomously when to sample process parameters, and/or when to modify actuating or sensing unit settings, and/or when to send a message to the processing unit (201).

Abstract: The present application provides an adaptive control system for controlling a plant in particular a DC-DC power converter. The control system has two controllers of differing characteristics. The output of the individual controllers H0 and H1 are combined together to provide a combined control signal H to the plant, where H=?H1+(1??)H0 and where the adaptive control system is tuned by adjusting the value of ? between 0 and 1 to find an optimum control position.

Abstract: Methods and apparatus are described for control of friction at the nanoscale. A method of controlling frictional dynamics of a plurality of particles using non-Lipschitzian control includes determining an attribute of the plurality of particles; calculating an attribute deviation by subtracting the attribute of the plurality of particles from a target attribute; calculating a non-Lipschitzian feedback control term by raising the attribute deviation to a fractionary power ?=(2m+1)/(2n+1) where n=1, 2, 3 . . . and m=0, 1, 2, 3 . . . , with m strictly less than n and then multiplying by a control amplitude; and imposing the non-Lipschitzian feedback control term globally on each of the plurality of particles; imposing causes a subsequent magnitude of the attribute deviation to be reduced.

Abstract: A control system and associated methods for an air treatment system. In one aspect, the present invention provides a control system and method for controlling blower speed as a function of separately determined smoke and dust concentrations. In one embodiment, the control system and method provides a variable delayed between changes in motor speed to address undesirable rapid changes between speeds. In another aspect, the present invention provides a system and method for calibrating a sensor to provide more uniform operation over time. In yet another aspect, the present invention provide a system and method for calibrating motor speed to provide more consistent and uniform motor speed over time. The present invention also provides a system and method for tracking filter life by as a function of time, motor speed and/or a sensed variable, such as particulate concentration in the environment.

Abstract: In a system for optimizing crop growth, vegetation is cultivated in a contained environment, such as a greenhouse, an underground cavern or other enclosed space. Imaging equipment is positioned within or about the contained environment, to acquire spatially distributed crop growth information, and environmental sensors are provided to acquire data regarding multiple environmental conditions that can affect crop development. Illumination within the contained environment, and the addition of essential nutrients and chemicals are in turn controlled in response to data acquired by the imaging apparatus and environmental sensors, by an “expert system” which is trained to analyze and evaluate crop conditions. The expert system controls the spatial and temporal lighting pattern within the contained area, and the timing and allocation of nutrients and chemicals to achieve optimized crop development.

Abstract: Methods, systems, and computer program products are provided for managing best practices in modeling information technology (IT) services. An architecture for validating a service model using a plurality of best practices (PBPs) provides separation of concern between the service model and selection of best practices by enabling an independent selection of the service model and the PBPs. A best practice precedence (BPP) is configured to disambiguate conflicts between the PBPs and select a selected best practice (SBP) from the PBPs. A validation engine validates a compliance or non-compliance of the service model with the SBP. A refined service model is generated by combining selective portions of the SBP with the service model.

Abstract: This document discusses, among other things, a user interface capable of resolving interactions between programmable parameters for operation of a personal medical device. Programming these devices is a difficult task when many parameters are involved. The medical device interface attempts to reduce and minimize constraint violations between interdependent parameters using an initial set of parameter values supplied by user (typically a physician) input, and constraint violations describing invalid parameter values. A user is given the option to select one or more parameters to remain constant. If possible, a set of parameter values with less egregious constraint violations is displayed to the user. A user is prompted to accept the set of parameter values and program the medical device.

Abstract: A method, system, apparatus, and media are directed to tuning a device. Values are stored for each of a plurality of device parameters based on device metrics. The device parameters are constraint-matched over changes to settings of the device parameters to identify at least one point within each range of the device parameters that optimizes a performance measure for the device. Tuning values are selected for each device parameter based on the identified point. The tuning values are provided for tuning the device. The device is tuned with roll-back based on the running values.

Abstract: A method for enhancing the allocation of fluid flow rates among a plurality of well bores in fluid communication with at least one subterranean reservoir is disclosed. An objective function and system equations are generated which utilize constraint violation penalties associated with soft constraints. The soft constraints are constraints which may be violated if necessary to arrive at a feasible solution to optimizing the objective function and the system equations. The fluid flow rates are then allocated among the well bores as determined by the optimizing of the objective function and system equations. Fluid flow rates among well bores, particularly those exhibiting similar fluid characteristics, may be related to one another. Initial flow rates of components (oil, gas, and water) and pressures in the well bores may be determined by an initial simulation run.

Abstract: The present invention provides a new set of algorithmic solutions to accommodate track inaccuracy information in track databases. Navigation and measurement aiding processes are defined by a stochastic mode relative to a moving rail frame defined so that it is aligned with the heading of the compensated track database at the current along track-position. Filtering generates long and short wavelength track alignment disturbances commensurate with track grade to compensate for track database errors; a stochastic error model is defined as the difference between the deterministic implementation and the actual stochastic processes Bayesian estimation of the error variables is implemented via a digital Kalman filter with the navigation, database, and measurement errors removed by subtracting the filter estimates.

Abstract: A computer implemented method of conducting closed-loop control of a physical system comprising the steps of carrying out an initialization of the physical system to commencing closed-loop control, evaluating the optimal constrained control move using the system error and the initial normalized matrix using a control move solver; calculating a first control action by the sum of delta u(0) and the initial control action; and implementing the result to the physical system by converting the control action to an output control signal to effect a change in at least one operating variable.

Abstract: A method of combinatorial multimodal optimization uses a genetic algorithm to find simultaneous global optimal solutions to combinatorial problems. Each individual within the population is associated not only with a fitness value but with a fitness vector, using which the persistence of all of the best individuals into the next generation can be guaranteed. Phenotype as well as genotype analysis is an integral part of the method.

Abstract: A system and method for meeting performance goals in an electronic system in an energy efficient manner. Various aspects of the present invention may comprise operating an electrical circuit at a current level of performance and a current level of energy efficiency by providing the electrical circuit with electrical power characterized by a current set of power characteristics (e.g., utilizing a power control module). The current level of performance may be determined (e.g., by a performance monitor) and compared to a desired level of performance (e.g., by the power control module). If the current level of performance is higher than the desired level of performance, then the electrical circuit may be operated at a next (e.g., lower) level of performance and a next (e.g., higher) level of energy efficiency by providing the electrical circuit with electrical power characterized by a next set of power characteristics.

Abstract: A control system, for controlling a process that repeats in a number of cycles, is arranged to control at least one input to the process and to modify the input or inputs iteratively over successive cycles so that an output of the process approaches a desired reference output, and so that, at each iteration a current input is determined by a two stage process the first being to minimize a cost function, the cost function including the tracking error between a calculated output for the current input and the reference output, and the change between the input of a previous iteration and the current iteration, the second through the introduction of a relaxation parameter obtained by empirical methods or mathematical optimization.

Abstract: A method and system are provided that extend the lifetime of sensor nodes in a wireless sensor network while ensuring network availability. An availability level is set for ensuring network connectivity corresponding to importance of network connectedness. An operation probability that a sensor node is in operation is calculated. A total sleeping time of the sensor node is calculated that minimizes the operation probability while maintaining the availability level.

Abstract: A method for vibration avoidance in automated machinery produces actuator space-time contours that meet design objectives of the machinery while suppressing energy content at frequencies in the space-time contour, by concatenating multiple space-time contour segments together in such a way as to be mostly free of energy at the frequencies of interest while meeting other specified design goals. The segments used to construct these frequency-optimized-contours are a series of concatenated polynomial segments, the independent variable t being time. These segments can define the variable to be controlled (e.g. speed or distance) versus time, or define one of the controlled variable's time-derivatives (e.g., the slope of the speed vs. time, etc.).

Abstract: The invention provides control systems and methodologies for controlling a process having computer-controlled equipment, which provide for optimized process performance according to one or more performance criteria, such as efficiency, component life expectancy, safety, emissions, noise, vibration, operational cost, or the like. More particularly, the subject invention provides for employing machine diagnostic and/or prognostic information in connection with optimizing an overall business operation over a time horizon.

Abstract: A method for solving a constraint satisfaction problem (CSP) comprises identifying a first illegal combination associated with at least one variable, wherein the first illegal combination contradicts at least one constraint; grouping the first illegal combination with a second illegal combination, in response to determining that the first and second illegal combinations contradict the same constraint; identifying at least one failure explanation for each group of illegal combinations, wherein the failure explanation is associated with at least one illegal combination in said group to provide a reason for a contradicted constraint associated with the illegal combination; assigning a value to each variable in the given domain to solve the CSP within the limitations defined by the constraints in a solution path; and generating a result, in response to determining that at least one assigned value to a variable contradicts a constraint.

Abstract: Methods, apparatus, and media for controlling supply of a utility service to a load are disclosed. Generally, the embodiments may involve receiving representation of utility service supply to a load, receiving and storing in a computer data storage device a usage range representation comprising at least one expected value of utility input to the load and/or at least one expected value of output from the load, and producing a control signal for use by a utility service supply controlling device when usage is outside of usage range representation. Control signal can be operable to cause the utility service supply controlling device to restrict or interrupt the supply of the utility service to the load.

Abstract: A thermal overload protection for an electrical device, particularly an electric motor (M), measures a load current supplied to the electrical device (M), and calculates the thermal load on the electrical device on the basis of the measured load current, and shuts off (S2) a current supply (L1, L2, L3) when the thermal load reaches a given threshold level. The protection comprises a processor system employing X-bit, preferably X=32, fixed-point arithmetic, wherein the thermal load is calculated by a mathematic equation programmed into the microprocessor system structured such that a result or a provisional result never exceeds the X-bit value.

Abstract: An action evaluation apparatus includes action detection unit which detects an action of a user, environmental load detection unit which detects a load on an environment which is caused by the action, first storage unit which stores identification information of the action and the detected load in correspondence with each other, overload action detection unit which detects a first action which has caused a load exceeding a threshold, load adjusting unit which adjusts the load which is caused by the first action and a load which is caused by a second action stored in the first storage, and second storage unit which stores the adjusted load in correspondence with the identification information of the action.

Abstract: A method and system for performing model-based multi-objective asset optimization and decision-making is provided. The method includes building at least two predictive models for an asset. The building includes categorizing operational historical data via at least one of: controllable variables, uncontrollable variables, output objectives, and constraints. The building also includes selecting at least two output objectives or constraints, and identifying at least one controllable or uncontrollable variable suitable for achieving the at least two output objectives or constraints. The method also includes validating each predictive model and performing multi-objective optimization using the predictive models. The multi-objective optimization includes specifying search constraints and applying a multi-objective optimization algorithm. The method further includes generating a Pareto Frontier, and selecting a Pareto optimal input-output vector.

Abstract: The invention provides computer-implemented techniques and systems for parsimoniously modelling the price or value, expected rate of return or other relevant characteristics of securities issued by, or referenced to, firms (or other assets) by incorporating risk premia such that a range of different securities can be evaluated within a single, unified and coherent framework, thereby leading to significant reduction in the computing resources otherwise required.

Abstract: A computer-implemented method for optimizing an aspect of an Information Technology (IT) structure of an IT system, the aspect of the IT structure is optimized with respect to at least one control parameter. The IT structure includes a plurality of elements. Each element independently is a hardware element, a software element, or a combination of a hardware element and a software element. Each control parameter has a value that is specific to each element of the IT structure.

Abstract: In a motor control device according to the invention, upon velocity control of a motor, a superimposed signal generating unit 9 outputs a superimposed signal idh of a repetitive waveform, such as a triangular wave or a sine wave. A d-axis current command generating unit 10 adds the superimposed signal idh generated by the superimposed signal generating unit 9d to a d-axis current command idc*0 and outputs a d-axis current command idc*. An axial misalignment detecting unit 11 (11a, 11b, 11c, and 11d) receives the d-axis current command idc* and a q-axis current command iqc* and outputs an axial misalignment angle estimation value ??^. An axial misalignment correction unit 12 receives the axial misalignment angle estimation value ??^ and an actual detected position ?m and outputs a position after correction ?m?. Therefore, detection and correction can be performed in real time through calculation at a given timing during a normal operation.

Abstract: A method for controlling a process variable as it approaches a predetermined value (setpoint) so that the setpoint is not exceeded. The method employs a time domain polynomial equation in a feedback configuration and utilizes a controller that acts as an On/Off controller until the process variable approaches setpoint. As the process variable approaches setpoint, the controller acts as a fast responding analog controller thereby “tailoring” a control variable to precisely bring the process variable to the setpoint without exceeding or overshooting the setpoint.

Abstract: A system for resource usage optimization employs an automatically controlled sensor suite providing data to a computer system for the analysis of spatial relationships of the sensors and resources. A control module incorporates an interactive logic, in an exemplary embodiment of well-stream coupled dynamic or game theory engines, operating in conjunction with the spatial data processing algorithms, GIS in an exemplary embodiment, receives as an input an objective function set for the use of the resource and constraint sets which are then monitored by the sensor suite. Incoming data is compared to the constraint sets and upon impact to any of the elements of the objective function set, creates a report/alarm for action or to trigger a corrective action.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to test processing manufactured products and provide a method, system and computer program product for self-adjusting test processing of manufactured goods in a supply chain management data processing system. In an embodiment of the invention, a method for real time self adjusting testing of products in a supply chain manufacturing operation can be provided. The method can include associating different products with optional test activities as part of one or more risk groups. Thereafter, a production order can be evaluated to identify a product, to match one or more of the risk groups to the product, and to omit associated ones of the optional test activities in the matched risk groups from a production process for the production order.