Abstract: A method and related software are disclosed for processing imagery related to three dimensional models. To display new visual data for select portions of images, an image of a physical structure such as a building with a façade is retrieved with an associated three dimensional model for that physical structure according to common geolocation tags. A scaffolding of surfaces composing the three dimensional model is generated and regions of the retrieved image are registered to the surfaces of the scaffolding to create mapped surfaces for the image. New image data such as texture information is received and applied to select mapped surfaces to give the retrieved image the appearance of having the new texture data at the selected mapped surface.

Abstract: A machine is configured to automatically order consumable items for an account. For example, the machine accesses image input associated with a consumable item. The image input is recorded by a camera associated with a client device. The machine identifies an account based on an identifier of the client device. The machine determines a level of consumption of the consumable item for the account based on the image input. The machine, based on the level of consumption, automatically places an order for the consumable item, for the account. The machine, in response to the automatic placing of the order, causes display of a notification describing the automatically placed order in a user interface of the client device. A selection of the notification describing the automatically placed order for the consumable item causes display of an automatically generated request to specify a schedule of future automatic orders for the consumable item.

Abstract: A computer implemented method is provided that includes using historic migration data to label key performance indicators (KPIs) in a migration model including a scale that indicates a level of successful migration to a remote provider. Employing the migration model to predict successful migration of a local application having one or more of said one or more of local key performance indicators for the local application. Migrating the local application to a remote provider when the model to predict successful migration indicates a greater than threshold value for successful migration.

Abstract: The invention relates to methods, systems, and computer-readable media related to a system having a plurality of users, designed to display a user-customized subset of item and/or provider information to the user.

Abstract: A buy-online pickup-in-store (BOPIS) order at risk of abandonment is saved by converting the order to same-day delivery. A risk deadline is established using a combination of cognitive prediction, a customer-specific time frame, order constraints, and real-time data. The cognitive prediction uses a customer profile having historical data pertaining to previous BOPIS orders from this customer. If the product is not picked up by the risk deadline, a check is made to see if same-day delivery is feasible. If so, a notification is transmitted to the customer with proposed delivery details. The notification can be sent at an optimal time based on previous notifications sent to the customer and time constraints related to the order, and using an optimal communication channel based on previous engagement rates with the customer over different communication channels. Once confirmation is received from the customer, the product is shipped, saving the sale.

Abstract: In a computing resource environment including at least one resource capable of being allocated to at least one of a plurality of tasks, techniques are disclosed for applying a taint to a resource in a computing resource environment, the taint being configured to prevent the resource from being claimed for a resource request without a toleration to that taint. Variations include receiving, at a resource scheduler in the resource environment, a request to allocate the resource to perform a particular task and determining whether the resource is subject to a taint. If the resource is subject to a taint, analyzing the request to determine if it includes a toleration for the taint. If the request includes a toleration for the taint, allocating the resource to the task. If the request does not include a toleration for the taint, not allocating the resource due to the taint.

Abstract: The present disclosure provides systems and methods for associating data with non-material concepts that allows for subsequent searching and retrieval of such non-material concepts. A concept definition is received that defines a concept identifier used for identifying data associated with the concept, and a plurality of discrete stages of the concept. Retrieved data is analyzed to determine if the data corresponds to the concept, and to determine at least one discrete stage of the concept definition that the data corresponds to. The data is stored in association with the concept identifier and the at least one discrete stage to allow for subsequent searching and retrieval. When a search request relating to the concept is received, the data associated with the different stages of the concept can be retrieved and output in a manner to capture the holistic nature of the concept.

Abstract: Techniques to generate a digitally optimized schedule for a construction activity to meet a construction objective(s) of a construction project are disclosed. An artificial intelligence system receives a plurality of input data sets that impact the construction project. Each of the plurality of input data sets is processed to achieve the construction objective(s). The artificial intelligence system processes the plurality of input data sets using a respective ensemble of machine learning models. The artificial intelligence system generates machine learning validated intermediate output data sets corresponding to each of the plurality of input data sets. The artificial intelligence system implements a supervisory machine learning model to generate an optimized schedule for the construction activity based on the machine learning validated intermediate output data sets and the construction objective(s).

Abstract: An example operation may include one or more of acquiring, by a retailer node, an inventory data from a supplier node over a blockchain network, receiving, by the retailer node, outstanding orders data of the supplier node, generating, by the retailer node, an order distribution policy based on the inventory data and the outstanding orders data, and executing a smart contract to order goods from the supplier node based on the ordering policy.

Abstract: A system and method of a multi-level tank-based production system. Embodiments include planning data for one or more finished goods, the one or more finished goods produced from one or more semi-finished goods stored in one or more tanks, identifying, from the planning data, planned production orders for the one or more finished goods in each time bucket of a planning period, modifying the planned production orders to satisfy lot-size requirements of production operations of the one or more finished goods and time and tank capacity constraints of the one or more semi-finished goods, generating a tank-based production plan based, at least in part, on the modified planned production orders, and producing the one or more finished goods according to the tank-based production plan.

Abstract: The invention relates to methods, systems, and computer-readable media related to a system having a plurality of users, designed to display a user-customized subset of item and/or provider information to the user.

Abstract: A manufacturing process for physical components can be optimized using some techniques described herein. For example, a system can receive, via a graphical user interface, a user selection of a particular type of production location. The system can determine a cumulative consumption of a component at the particular type of production location over a particular time window. The system can analyze a group of candidate types of production equipment to identify a particular type of production equipment that can accommodate the cumulative consumption of the component during the particular time window. And the system can execute one or more computing operations configured to facilitate deployment of the particular type of production equipment at the particular type of production location.

Abstract: In some aspects, a computing system may use time series data and machine learning to determine an efficient time to send data to a blockchain. A machine learning model may use a variety of blockchain related data to predict a network usage costs for different times in the future. The predicted network usage costs may be used to determine when data should be sent for storing on the blockchain to reduce network resource costs for a computing system. For example, based on inputting the blockchain data into the machine learning model, a computing system may generate output indicating network usage costs for a future time period, with each network usage cost corresponding to a timestamp within the future time period. The computing system may determine a minimum network usage cost of the network usage costs and send data to a node in the blockchain network at the corresponding timestamp.

Abstract: A software-defined infrastructure can identify and remediate an airflow deficiency scenario on a rack device. A rack device manager can be configured to discover rack devices and create a representation of their physical locations. The rack device manager can also be configured to periodically retrieve airflow metrics of the rack devices to calculate an estimated airflow for each rack device. The rack device manager can use the estimated airflows and the airflow metrics to generate a rack device classifier for each rack device. Using these rack device classifiers, the rack device manager can detect when rack devices are experiencing airflow deficiencies and attempt to automatically remediate such deficiencies.

Abstract: Techniques for improving a natural language processing (NLP) system by ingesting information from various sources and generating personalized results in response to a user query. With user permission, the system may ingest personal data from a variety of data sources, allowing the system to access existing personal data in order to identify correlated information, make inferences and predictions, prompt the user when appropriate, and generate improved results. The ingestion step may process both textual and non-textual data (e.g., images, audio, video). Using this consolidated data storage, the system may search amongst multiple different sources of data and identify correlations to improve processing. In addition, the system may proactively provide suggestions to a customer (e.g., detect upcoming event and suggest an action corresponding to the event) or may provide personalized results (e.g., filter results based on user preferences determined by the inferences and predictions).

Abstract: Execution end timing of a jobnet is predicted with stable accuracy. An information processing apparatus executes jobnet execution time prediction model generation processing for generating an execution time prediction model for predicting execution time of a jobnet to be executed on the basis of information associated with execution time of each of previously executed jobnets, a prediction model accuracy determination processing for calculating prediction accuracy for the execution time of each of jobnets by the generated execution time prediction model, and delay determination processing for determining whether to predict execution end timing of a designated jobnet among a jobnet group that is a set of a plurality of jobnets currently being executed or to be subsequently executed on the basis of the execution time prediction model, on the basis of the calculated prediction accuracy for the execution time of each of the jobnets.

Abstract: The following relates generally to light detection and ranging (LIDAR). In some embodiments, a homeowners insurance quote is produced based upon data received from a LIDAR camera. For instance, in some embodiments, a system: receives light detection and ranging (LIDAR) data generated from one or more LIDAR cameras; analyzes the LIDAR data to determine or identify one or more features or characteristics of a home; and generates an electronic homeowners insurance quote based upon, at least in part, the one or more features or characteristics of the home determined or identified from the LIDAR data.

Abstract: An interactive and collaborative, planning, designing and facilitating tool that connects users with organized information and relevant data, providers and facilitators to resolve technical issues in conceptualizing, designing and implementing a custom project.

Abstract: Provided is a manufacture and sales strategy planning method comprising a step of determining, based on information related to a sales plan of a plurality of products and a production capacity of a production facility to produce each product, whether there is any spare capacity in the production capacity of the production facility in relation to the sales plan for each of the products, a step of applying one among a plurality of profit improvement strategies, according to an availability of the spare capacity, to each product determined in this step, and calculating an improvement effect of each product, a step of selecting, based on each calculation result obtained in this step, a specific product among the plurality of products in which the improvement effect has exceeded a set value with regard to each of the plurality of profit improvement strategies, a step of extracting, for each profit improvement strategy, an item which satisfies a restricting condition of sale or production of the specific product se

Abstract: A line configuration planning device determine a task sequence during production of the to-be-produced product and the task time by the worker or the automatic machine for each task on the basis of the task information and the task time information. The line configuration planning device determine a required cycle time for producing the to-be-produced product on the basis of the production plan information. The line configuration planning device generate, on the basis of the determined task sequence, task time, and required cycle time, an allocation proposal for the worker and the automatic machine such that an estimated cycle time for producing the to-be-produced product is less than or equal to the required cycle time. The line configuration planning device determine a production line configuration for the to-be-produced product on the basis of the allocation proposal and the equipment configuration information.

Abstract: A method and system for managing and sourcing materials and services for energy retrofit projects. An electronic energy retrofit project portal provides real-time designing, specifying, searching, pricing, quoting, ordering, and tracking of energy audit project materials and services required for a desired energy retrofit project. The functionality of the electronic energy retrofit project portal is available in real-time directly and from within existing design programs that create and provide energy audits and available as a standalone portal.

Abstract: An enterprise data management system with definition quality assessment capabilities for automatically assessing the quality of definitions for terms stored in the enterprise data management system. The system can include a processor programmed to receive a term and a corresponding definition. The processor assess the quality of the definition, including for each of a plurality of quantifiable definition guidelines: deriving feature inputs based on the definition; feeding the feature inputs into a machine learning model corresponding to the definition guideline; and receiving a quality score for the definition guideline from the corresponding machine learning model. An overall quality score is calculated based on the quality score for each of the definition guidelines. The overall quality score and the quality score for each of the plurality of definition guidelines is displayed and if the overall quality score is less than a selected threshold score, a transformation of the definition is recommended.

Abstract: The invention relates to a system for generating inspection information of a plurality of signalization elements of an elevator system. The system comprises: an elevator control unit configured to control the plurality of the signalization elements of the elevator system, and a mobile terminal device communicatively coupled to the elevator control unit. The mobile terminal device is configured to generate to the elevator control unit at least one control signal comprising an instruction to activate the plurality of the signalization elements according to a predetermined activation pattern. The elevator control unit is configured to activate the plurality of the signalization elements according to the predetermined activation pattern for generating inspection information in response to receiving the at least one control signal. The invention relates also to for generating inspection information of a plurality of signalization elements of an elevator system.

Abstract: Systems and methods for measuring, reporting, controlling, and improving enterprise performance are described. A system receives objective statements for an enterprise, which can be an IEE value chain of the enterprise, and enterprise-specific measurable metrics through an interactive user interface with their associated processes. The system collects historical data and real-time data (e.g., daily) associated with enterprise-specific measurable metrics from a plurality of infield resources and analyses the historical data and the real-time data using a statistical model to provide information that teams can use to determine the strengths and shortcomings of the enterprise. Based on the determined strength and shortcomings, the system provides, using a knowledge database, information so that leadership and teams can determine where to focus process-output metric improvement efforts via process improvement efforts so that the enterprise-as-a-whole financially benefits.

Abstract: The present disclosure relates to improvements in systems and methods in acquiring images via imaging devices, where such imaging devices can be configured, in some implementations, with an unmanned aerial vehicle or other vehicle types, as well as being hand-held. Images are acquired from the imaging devices according to capture plans where useful information types about a structure of interest (or objects, items, etc.) can be derived from a structure image acquisition event. Images acquired from capture plans can be evaluated to generate improvements in capture plans for use in subsequent structure image acquisition events. Capture plans provided herein generate accurate information as to all or part of the structure of interest, where accuracy is in relation to the real-life structure incorporated in the acquired images.

Abstract: Described embodiments provide systems and methods of allocating cloud resources for application deployments. A resource allocator may identify a first metric indicating usage of cloud resources by clients in a first release environment for an application update. The resource allocator may generate, using the first metric, a resource capacity model for predicting usage of the cloud resources by clients in a second release environment for the application update. The resource allocator may determine, using the resource capacity model, a metric predicting the usage of the cloud resources by the clients in the second release environment. The resource allocator may generate instructions to set an allocation of the cloud computing resources for performing deployment of the application update to the second release environment based on the second metric.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for training machine learning models. One method includes obtaining a machine learning model, wherein the machine learning model comprises one or more model parameters, and the machine learning model is trained using gradient descent techniques to optimize an objective function; determining an update rule for the model parameters using a recurrent neural network (RNN); and applying a determined update rule for a final time step in a sequence of multiple time steps to the model parameters.

Abstract: Embodiments relate to de-obfuscated data to process at one or more artificial-intelligence (AI) decision nodes throughout a communication decision tree. Through processing directed by the communication decision tree, additional de-obfuscated data is collected and securely transmitted in de-obfuscated or re-obfuscated form to enrich underlying data structures.

Abstract: Solutions are provided for configuration management for model-based systems engineering (MBSE). An example includes: partitioning a system project into a baseline portion and a working portion; generating, in the working portion, a change package; generating, for the change package, an impact analysis, wherein generating the impact analysis comprises: based at least on change information, determining directly impacted elements; and based at least on the directly impacted elements, determining indirectly impacted elements; importing, from a baseline model into the change package, the directly impacted elements and the indirectly impacted elements; modifying at least one imported directly impacted element to generate a modified element; and integrating the modified element into the baseline model. Some examples further include generating a relation map indicating relationships among the directly impacted elements and the indirectly impacted elements to assist the impact analysis.

Abstract: Systems and methods are disclosed for linking a two-dimensional (2D) design image to a three-dimensional (3D) design model. One method comprises receiving a 2D design document and a 3D design file, the 2D design document comprising a 2D design image and the 3D design file comprising a 3D design model including design elements. The 3D design model is converted to a coded 2D design image. A unique identifier is determined for each design element based on the coded 2D design image, and stored in association with the respective design element in the 3D design file. Upon a user selection of a point in the 2D design image, detailed information on the design element corresponding to the user-selected point may be retrieved from the 3D design file. The retrieval may be based on matching a code associated with the user-selected point to a unique identifier in the 3D design file.

Abstract: A policy violation detection computer-implemented method, system, and computer program product, includes extracting a policy activity from a policy, the policy activity including an actor in the policy, an object of the policy, an action of the policy, and policy scope metadata, capturing a transaction by a user including metadata of the transaction, translating the transaction by the user into an actor in the transaction, an action of the transaction, and an object of the transaction, and alerting the user of a policy violation by navigating a knowledge graph is-a hierarchy to relate the actor in the transaction to the actor in the policy, the object of the transaction to an object of the policy, and the action of the transaction to an action of the policy activity.

Abstract: A computer-implemented construction management system for enabling the performance of work tasks conducted at a remote project site like a construction site is provided by the invention. The system comprises a data interface for providing a communication link between a remote computer device used by the field worker at the project site and a central computer located at a central hub. Scanning a scannable indicia posted at the project site by means, e.g., of a smart phone or tablet, a field worker may quickly and readily gain access via a plurality of graphical user interface screens in the associated software to an organized set of documents, information, and electronic images associated with project tasks to be conducted at the project site.

Abstract: An example operation may include one or more of acquiring, by a retailer node, an inventory data from a supplier node over a blockchain network, receiving, by the retailer node, outstanding orders data of the supplier node, generating, by the retailer node, an order distribution policy based on the inventory data and the outstanding orders data, and executing a smart contract to order goods from the supplier node based on the ordering policy.

Abstract: An augmented reality visualizer for swimming pools is described herein. In one example, a system can receive images of a target area for a swimming pool from a camera. The system can generate an augmented reality environment by analyzing the images. The augmented reality environment can include a virtual swimming pool overlaying at least one image of the target area. The system can then output the augmented reality environment on a display for viewing by a user.

Abstract: A work machine control device including a memory and a processor is disclosed. The processor may be configured to receive work order data associated with a haul machine. The work order data may identify the haul machine, a material requested for the haul machine, an amount of the material requested for the haul machine, and/or a work machine associated with the material. The processor may be configured to set an operating parameter of the work machine to perform an operation according to the work order data, and receive payload data associated with a payload of the work machine. The payload data may relate to a weight of the payload, a volume of the payload, and/or an operating state of the work machine. The processor may be configured to determine productivity data associated with the operation, and cause an action to be performed in connection with the productivity data.

Abstract: The present disclosure discloses an order allocation method. The method may include: receiving orders and extracting order information; extracting service provider information and obtaining features of service providers; determining whether the order information matches the features of the service providers, or determining whether the features of the service providers satisfy a preset condition to generate a determination result; ranking the service providers based on the determination result; generating orders to be allocated; and allocating the orders to be allocated to the service providers based on the ranking. The present disclosure also discloses an order allocation system that can perform the method above.

Abstract: A device may receive site data identifying a site associated with a telecommunications network. The device may determine handover data identifying handovers of user equipment associated with the site. The device may receive traffic data identifying traffic generated by the user equipment associated with the site. The device may calculate, based on the site data, the handover data, and the traffic data, a plurality of key performance indicators (KPIs) for the site, for a predefined time period, and if the site is decommissioned, wherein the plurality of KPIs include one or more of: resource block utilization data, determining KPI satisfaction data identifying whether one or more of the plurality of KPIs satisfy one or more of a plurality of KPI thresholds, and performing one or more actions based on the KPI satisfaction data.

Abstract: Provided is a control method of a complex energy system that supplies heat and power to energy consumers through a heat network and a power network.

Abstract: A system includes persistent storage configured to store definitions of interfaces of remote software applications, and a software application configured to define the interfaces. The software application identifies a remote software application system by which the remote software applications are exposed for execution, and obtains therefrom a specification of a particular remote software application. The software application determines, based on the specification, (i) objects accessible by way of the particular remote software application and (ii) functions invokable to interact with the objects. The software application generates actions that define an interface for the particular remote software application. Each action is configured to invoke execution of one or more of the functions by transmitting a request to the remote software application system and, in response, receive, by way of the remote software application system, an output of the one or more of the functions.

Abstract: The disclosure relates to executing time bound activity chains using a baseline blockchain that encodes milestones and a realized blockchain that tracks activity relating to the milestones encoded on the baseline blockchain. Each project managed by the system may be scheduled using its own baseline blockchain, which stores time-bounded activity chains that encode milestones for that project. The realized blockchain stores performance related activity that validates and stores information indicating performance of actions related to milestones and automated transfer of value through the use of smart contracts. Each block of the realized blockchain not only references a prior block of the realized blockchain but also a corresponding baseline block, which encodes a milestone, in the baseline blockchain. Thus activity relating to progress toward a milestone may be recorded on a realized block, which refers back to a baseline block that specifies the milestone.

Abstract: Method and system embodiments for assessing control maturity in security operations environments are described. According to some embodiments, the method facilitates a nonintrusive, automated means to configure and detect security controls installed in an Information Technology (IT) environment. The system verifies that these controls function as expected over a specified period of time and then maps each security control to a cell in a matrix of operational functions crossed with asset classes. The system captures metrics for security control activity that are displayed in the matrix to facilitate an assessment of security control architectural maturity. The system automatically generates visual and textual reports that provide recommendations to improve cybersecurity by enhancing existing and adding new controls, specify a suggested timeline for introducing those controls, and document gaps in compliance.

Abstract: Electronic arrangement for use in enriching data stream with subscriber information in a communications network preferably comprising a mobile network, the arrangement comprising at least one data interface for transferring data, at least one memory for storing instructions and other data, and at least one controller for processing instructions and other data, said at least one controller being configured, in accordance with the stored instructions, to cause storing same data in a relational database, such as SQL database, preferably including subscriber related profile data, and in a non-relational, preferably in-memory, database; wherein responsive to receipt of a data write request, optionally from a network entity, BSS/OSS system or other external system, triggering data write in a single transaction incorporating data write into the relational database and replication into the non-relational database, wherein in the case of a failure having regard to the replication into the non-relational database, the

Abstract: A home cost analysis server for identifying one or more hidden home costs may include a processor programmed to receive user input including at least one prospective home. The processor may access a first external database storing metadata associated with a plurality of homes available for purchase, the plurality of homes including the prospective home, and access a second external database storing historical ancillary costs associated with a plurality of homes in a geographic area surrounding the prospective home. The processor may analyze metadata associated with the prospective home and the historical ancillary costs to determine ancillary home costs associated with the prospective home, and cause to be displayed the ancillary home costs at the user computing device using at least one graphical indicator. As a result, the prospective homebuyer may have additional education and insight into the potential costs of owning a home.

Abstract: A machine has a network interface circuit for communication with a network. A processor is connected to the network interface circuit. A memory is connected to the processor and the network interface circuit. The memory stores data and instructions executed by the processor to receive a specification book detailing a construction project. Extracted text from the specification book is associated with specification book hyperlinks. Submittal log packages comprising subsets of the specification book hyperlinks are defined. Each submittal log package is associated with a subset of the construction project. The submittal requests are distributed based upon the submittal log packages. Approvals for acts performed corresponding to the submittal requests are collected. The specification book is augmented with the approvals and iterative feedback to characterize evolution of the construction project and construction project documentation.

Abstract: An estimated distance calculator 10 generates, on the basis of a first state element model comprising multiple state elements, a second state element model which is another state element model, wherein the state elements include multiple states and state transitions assigned with transition conditions between the multiple states. The calculator includes a generation unit 11 which generates the second state element model in such a manner as to comprise any one state element among the multiple state elements and state elements other than the one state element which are selected from among the multiple state elements after transition conditions satisfying predetermined condition are removed.

Abstract: Embodiments of the present disclosure are directed to systems and methods for monitoring and visualizing a plurality of performance metrics via a single graphical user interface. A processor identifies the plurality of performance metrics, identifies predicted and real time values for the plurality of performance metrics and visually displays for a user the plurality of performance metrics in readable format. In some embodiments, the plurality of performance metrics are displayed in a graphical format. In other embodiments, the plurality of performance metrics are displayed in a spreadsheet format such that the different values and metrics may be arranged into a plurality of different combinations. Further, the processor determines the actual values for the plurality of performance metrics and may organize the visual display based on the current data, a change in data, and/or any other of a plurality of combinations.

Abstract: The present disclosure relates to improvements in systems and methods in acquiring images via a imaging devices, where such imaging devices can be configured, in some implementations, with an unmanned aerial vehicle or other vehicle types, as well as being hand-held. Images are acquired from the imaging devices according to capture plans where useful information types about a structure of interest (or objects, items, etc.) can be derived from a structure image acquisition event. Images acquired from capture plans can be evaluated to generate improvements in capture plans for use in subsequent structure image acquisition events. Capture plans provided herein generate accurate information as to all or part of the structure of interest, where accuracy is in relation to the real-life structure incorporated in the acquired images.

Abstract: A computer-implemented technique is described herein for receiving activity signals from plural logic components running on one or more computing devices. Each activity signal includes an activity information item (AII) that describes an activity performed by a subject (e.g., a user), or to be performed by the subject, as recorded by a logic component. The technique stores AIIs extracted from the activity signals in a graph data structure. The technique then: determines, by interrogating the graph data structure, one or more activity clusters within a span of time, each activity cluster pertaining to a group of AIIs associated with a same encompassing project; generates one or more summary documents based on the identified activity cluster(s); and sends the summary documents to an output device.

Abstract: Various embodiments of the present invention are directed to an improved group-based communication apparatus that is configured to render one or more workflow interface objects to a group-based communication apparatus in association with an operational sequence set returned by a query. The group-based communication apparatus is configured to detect a workflow trigger event associated with a workflow identifier, retrieve an operational sequence set based upon at least the workflow identifier from a group-based communication workflow repository, initiate the operational sequence set, and cause rendering of one or more workflow interface objects to the group-based communication interface. In some embodiments, the operational sequence sets are associated with a group-defined template.

Abstract: A computer system holds model management information for managing a model for calculating, based on a feature amount of a process pair generated based on a plan history and formed of two processes, a transition probability of the two processes forming the process pair. The computer system comprises: a transition probability calculating unit uses, in a case of receiving input data including a plurality of target processes, the model management information and a feature amount of a process pair formed of a reference target process and a transition destination target process, to thereby calculate a transition probability of the process pair; and a transition probability modifying unit modifies the transition probability of the process pair determined to be unreliable. The transition probability calculating unit generates a new plan by determining the order of execution of the plurality of target processes based on the transition probability of the process pair.