Abstract: Computer modeling process of project management based on Monte Carlo simulation of average quantum mechanical wave function of the project milestone predicting the project delay or project cost increase, based on presenting project milestones as superposition of wave functions of all tasks, averaged over multiple project samples, with each task's duration randomly distributed around its scheduled value.

Abstract: If a vending machine is selected for service at a particular location, other vending machines at the same location may or may not be selected depending on the importance of minimizing the number of service visits to the other machines at the location.

Abstract: What has been developed is a method for testing ophthalmic plastic lenses and ophthalmic plastic lens-making processes for compliance with federal safety performance requirements. The method of the invention provides an easier, less costly, and more effective means for complying with these safety performance requirements than what current methods provide.

Abstract: A data processing system for analyzing rejection rejections in a manufacturing process having more than one level of manufacture stores test results from an nth-level test for review by an OEM and, subject to consent of the nth level vendor, for review by a vendor on a lower level. The data for rejection analysis is linked to data in a manufacturing floor control system.

Abstract: A system, a method, computer-readable medium for conveying software, or business methods for gradually automating a workflow in a configuration change management system by providing a first workflow template having a relatively low level of automation and complexity in which at least a plurality of tasks require manual input, manual response, or manual approval, operating the first workflow by a workflow automation system engine, monitoring a measurement of the maturity level of the process during the operation the first workflow, and responsive to detecting the maturity level meeting pre-determined benchmark, automatically selecting, engaging, and operating a second workflow template which increases automation by automating one or more subprocesses, adding one or more subprocesses, or eliminating one or more subprocesses.

Abstract: A method and system of generating an analytical tool for use in assessing a state of an entity is described. The method comprises retrieving source data relating to a state of a community of which the entity forms a part, the source data resulting from a data collecting and analysis mechanism and the source data relating to at least one variable and the, or each, variable comprising a plurality of drivers; performing cluster analysis on the source data to produce an array of reference data; and organizing the array of reference data into a form to be used in analyzing data collected from the community.

Abstract: A comparison method and system including retrieving by a computer, first data associated with first interactions between users associated with social networks. The computing system generates a first graph illustrating the first interactions. The computing system identifies targeted users associated with a marketing plan for the users. The computing system enables the marketing plan and retrieves second data associated with second interactions between the users. The computing system generates a second graph illustrating the second interactions, compares the second graph to the first graph, and generates a third graph illustrating first order differences between the first interactions and the second interactions.

Abstract: A business process or project management system provides for creation of a project or process definition which includes all activities required to complete the process as well as any dependencies, conditions, and deadlines for each activity, and participants designated to carry out the activities. Once the process is started, activities are carried out in turn when the dependencies and conditions are met, and the system updates when any activities are complete so that any activities dependent on completed activities can be started. A reporting module creates status reports for each activity which are displayed to a user such as an administrator on a user interface. Stored information on previous instances of an activity are used to predict when an activity is likely to be late and to provide alerts to users prior to starting the activity.

Abstract: System and method for analysis of an opinion expressed in documents on a particular topic computes opinion strength on a continuous numeric scale, or qualitatively. A variety of opinion scoring techniques are plugged in to score opinion expressing words and sentences in documents. These scores are aggregated to measure the opinion intensity of documents. Multilingual opinion analysis is supported by capability to concurrently identify and visualize the opinion intensity expressed in documents in multiple languages. A multi-dimensional representation of the measured opinion intensity is generated which is agreeable with multi-lingual domain.

Abstract: Methods and systems are provided for predicting the reliability of a plurality of products that will be deployed during a product deployment period comprising a plurality of time intervals. The method comprises retrieving historical product removal data from a product removal data source, retrieving historical product shipment data from a product shipment data source, identifying a plurality of Weibull parameters based on at least a portion of retrieved product removal data and product shipment data, and performing a plurality of product deployment simulations, wherein each product deployment simulation includes predicting a lifespan for each of the plurality of products and determining reliability metrics for uniform time intervals during the product deployment period.

Abstract: A forecast response factor (RF) determines how quickly product demand forecasts should react to recent changes in demand. When a product sales pattern changes (e.g., a sudden increase in product demand), RF is adjusted accordingly to adjust the forecast responsiveness. The present subject matter provides automatic calculation of the RF, based at least in part on the nature of the product sales (autocorrelation) and the status of recent forecasts (bias).

Abstract: A demand forecast system and method. A planning module normalizes historical forecast data, and generates a forecast error interval according to the historical forecast data and a Grey forecast model. An adjustment module adjusts a target forecast value of a target-planning bucket according to the forecast error interval and/or the distance between the forecast error interval and a benchmark.

Abstract: Defining service ownership for an SOA including defining, in response to an event requiring a change in service ownership and in dependence upon data describing business functions within a business, a service domain; reviewing, by a service domain ownership review board, the defined service domain for approval; upon approval of the defined service domain, identifying potential impact upon currently existing service domains caused by implementation of the defined service domain; identifying a potential owner of the defined service domain in dependence upon a service type of the defined service domain and funding requirements of the service domain; presenting, to relevant stakeholders in the business, the potential owner of the defined service domain for approval; and upon approval of the potential owner of the defined service domain, assigning the potential owner of the defined service domain responsibility for managing the defined service domain.

Abstract: Methods and apparatus of the present invention collect data associated with a consumer through generation of a consumer feedback communication via a wide area network. A business to which the consumer feedback communication is directed is identified in response to input from a consumer via the wide area network. Feedback data relating to the business is obtained from the consumer via the wide area network. At least a portion of the consumer feedback communication is automatically generated using the feedback data. Data associated with the consumer is then collected from the obtained feedback data.

Abstract: A cross-functional area service identification method and system. The method includes reading by a computing system, processes. The computing system processes process elements associated with the processes. The computing system identifies a first functional area associated with a first current process element of the process elements and a second functional area associated with a first parent process element of the first current process element. The computing system compares the first functional area to the second functional area and determines if the first functional area comprises a same functional area as the second functional area. The computing system generates and stores results indicating if the first functional area comprises a same functional area as the second functional area.

Abstract: A method of measuring the sales performance of a dealer may include determining a propensity to buy score associated with each lead received by a dealer and determining an expected close rate associated with the dealer that may be based on the determined propensity to buy scores. The method may also include determining, by a computing device, an effectiveness rate associated with the dealer that may be based on at least the expected close rate and an actual close rate.

Abstract: A legal process management system facilitates simultaneous dynamic dialogs between legal process managers and networked attorneys and contractors providing services in connection with security interest enforcement actions (SIEAs). The legal process managers submit queries and deadlines selected to timely guide the attorneys and contractors through the requirements of the SIEAs. The attorneys and contractors submit responsive answers revealing the status of their SIEAs. In some embodiments, an events based management system uses a stochastic model to calculate completion times for the milestones of the SIEA, including the “events” that make up subparts of the milestones. This provides a flexible and powerful system for managing prosecution of the SIEA and for predicting likely durations. The stochastic model incorporates the concept of both fixed-frequency events and random-frequency events, and also allows for both controlled events and managed events.

Abstract: Systems and techniques for generating item ratings for a user in order to allow for recommendations of selected items for that user. A set of known ratings of different items for a plurality of users is collected and maintained, and these known ratings are used to estimate rating factors influencing ratings, including user and item factors. Initial user and item factors are estimated and new user and item factors are successively added, with the original rating factors being progressively shrunk so as to reduce their magnitude and their contribution to the rating estimation as successive factors are added. When an appropriate number of user and item factors has been estimated, the rating factors are used to estimate ratings of items for a user, and the estimated ratings are employed to generate recommendations for that user.

Abstract: A system, method, and article of manufacture is disclosed for analyzing a business initiative for a business network including business locations separated into control group sites and test sites that have implemented the business initiative for a predetermined test period. Each of the sites have an associated set of attributes reflecting various characteristics corresponding to the respective site, such as geographical location, size of business location, number of employees, etc. In one aspect of the invention, a process is performed that collects a performance value for each of the test and control group sites reflecting a level of performance of each respective sites during the test period. The performance of the test sites is then measured relative to the performance of the control sites over the same time period.

Abstract: Techniques are described for Stackelberg games, in which one agent (the leader) must commit to a strategy that can be observed by other agents (the followers or adversaries) before they choose their own strategies, in which the leader is uncertain about the types of adversaries it may face. Such games are important in security domains, where, for example, a security agent (leader) must commit to a strategy of patrolling certain areas, and robbers (followers) have a chance to observe this strategy over time before choosing their own strategies of where to attack. An efficient exact algorithm is described for finding the optimal strategy for the leader to commit to in these games. This algorithm, Decomposed Optimal Bayesian Stackelberg Solver or “DOBSS,” is based on a novel and compact mixed-integer linear programming formulation. The algorithm can be implemented in a method, software, and/or system including computer or processor functionality.