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    System and method for automated part-number mapping
    2.
    发明申请
    System and method for automated part-number mapping 失效
    用于自动部件号映射的系统和方法

    公开(公告)号：US20050125311A1

    公开(公告)日：2005-06-09

    申请号：US10727978

    申请日：2003-12-05

    申请人： Ghassan Chidiac ,  Jayant Kalagnanam ,  Moninder Singh ,  Sudhir Verma ,  Fabio White ,  Michael Patek ,  Yuk Wong

    发明人： Ghassan Chidiac ,  Jayant Kalagnanam ,  Moninder Singh ,  Sudhir Verma ,  Fabio White ,  Michael Patek ,  Yuk Wong

    IPC分类号： G06Q10/00 ,  G06F17/60

    CPC分类号： G06Q10/087 ,  G06Q10/0875 ,  G06Q20/203

    摘要： Automated mapping of part numbers associated with parts in a bill of materials (BOM) submitted by a BOM originator to internal part numbers assigned to those parts by a BOM receiver is performed by one or more computers connected to one or more networks through one or more network interfaces. A first receive component receives one or more data sets containing historical data on bills of materials received in the past by the BOM receiver. A second receive component receives one or more data sets containing known mappings between internal part numbers used by the BOM receiver, and part numbers used by various BOM originators. A third receive component receives one or more data sets containing information of various parameters and their values describing the parts to which the BOM receiver has assigned internal part numbers. A fourth receive component receives one or more methods of automatically learning models for predicting internal part numbers from the above mentioned historical BOM data, mapping data and part parametric data. A learning component learns the models from the data. A fifth receive component receives a BOM from a requesting process. The BOM has one or more parts with a missing internal part number. A mapping component applies the learned models to the received BOM to automatically determine internal part numbers for all unmapped BOM originator part numbers. A release process assigns internal part numbers to all unmapped parts in the BOM and releases the BOM to the requesting process.

    摘要翻译： 与由BOM发起者提交的材料清单（BOM）中的部件相关联的部件号与BOM接收器分配给这些部件的内部部件号的自动映射由一个或多个连接到一个或多个网络的计算机通过一个或多个 网络接口。 第一接收组件接收一个或多个数据集，其中包含由BOM接收机过去接收到的材料单上的历史数据。 第二接收组件接收一个或多个包含由BOM接收机使用的内部部件号之间的已知映射的数据集，以及由各种BOM发起者使用的部件号。 第三个接收组件接收包含各种参数信息的一个或多个数据集及其描述BOM接收机已分配内部部件号的部件的值。 第四接收组件接收一种或多种自动学习模型的方法，用于从上述历史BOM数据，映射数据和部分参数数据中预测内部部件号。 学习组件从数据中学习模型。 第五个接收组件从请求进程接收BOM。 BOM有一个或多个缺少内部零件号的零件。 映射组件将所学习的模型应用于接收到的BOM，以自动确定所有未映射BOM始发器部件号的内部部件号。 释放过程将内部部件号分配给BOM中的所有未映射部分，并将BOM释放到请求进程。

    Method for production design and operations scheduling for plate design in the steel industry
    3.
    发明申请
    Method for production design and operations scheduling for plate design in the steel industry 有权
    钢铁行业板材设计生产设计与作业调度方法

    公开(公告)号：US20060100727A1

    公开(公告)日：2006-05-11

    申请号：US10981588

    申请日：2004-11-05

    申请人： Sanjeeb Dash ,  Jayant Kalagnanam ,  Chandrasekhara Reddy

    发明人： Sanjeeb Dash ,  Jayant Kalagnanam ,  Chandrasekhara Reddy

    IPC分类号： G06F19/00

    CPC分类号： G05B19/41865 ,  G05B2219/35162 ,  Y02P90/20

    摘要： An automated method optimally designs plates to satisfy an order book at a steel plant so as to maximize the yield of the plates designed while using capacity fully to reduce the production of surplus slabs or plates, and satisfy order deadlines. Our method consists of four main components: (1) mother plate design, (2) slab design, (3) cast design, and (4) material allocation. A column generation framework for mother plate design is used where the problem is decomposed into a master problem and a subproblem. The master problem is used to evaluate packing patterns that should be used to fulfill the order book and the subproblem generates potential one-dimensional and two-dimensional feasible packing patterns as candidates to be evaluated by the master problem. The solution to the master problem produces a list of mother plates that need to be produced. These mother plates are transformed into candidate slabs, which are represented via an interval graph. The maximal cliques in the interval graph—maximal subsets of slabs which can be grouped together to form casts—are enumerated to generate candidate casts, from which redesign information is sent to the plate/slab design processes. The cast design process is integrated with the plate design/slab design processes in the sense that information is passed from the plate/slab design processes to the cast design process and vice versa. Finally, our method has a material allocation component to assign order plates to inventory mother-plates and slabs.

    摘要翻译： 自动化方法最佳地设计板材以满足钢厂的订单，以最大化设计的板材的产量，同时充分利用能力来减少剩余板坯或板材的生产，并满足订单期限。 我们的方法包括四个主要部分：（1）母板设计，（2）板坯设计，（3）铸造设计和（4）材料分配。 使用母板设计的列生成框架，将问题分解为主问题和子问题。 主问题用于评估应用于履行订单的包装模式，子问题产生潜在的一维和二维可行打包模式作为要由主问题评估的候选人。 主要问题的解决方案产生了需要生产的母板列表。 这些母板被转换成候选板，它们通过间隔图表示。 可以将可以组合在一起形成投票的区间图 - 最大板块子集中的最大组合枚举为生成候选投影，将重新设计信息从其发送到板/板设计过程。 铸造设计过程与板材设计/板坯设计过程集成在一起，即信息从板/板设计过程传递到铸造设计过程，反之亦然。 最后，我们的方法有一个材料分配组件来分配订单盘以存储母板和板坯。

    METHOD AND SYSTEM FOR BUSINESS PROCESS ORIENTED RISK IDENTIFICATION AND QUALIFICATION
    5.
    发明申请
    METHOD AND SYSTEM FOR BUSINESS PROCESS ORIENTED RISK IDENTIFICATION AND QUALIFICATION 审中-公开
    用于业务流程面向风险识别和资格的方法和系统

    公开(公告)号：US20110178948A1

    公开(公告)日：2011-07-21

    申请号：US12690339

    申请日：2010-01-20

    申请人： Feng Cheng ,  Henry H. Dao ,  Markus Ettl ,  Mary E. Helander ,  Jayant Kalagnanam ,  Karthik Sourirajan ,  Changhe Yuan

    发明人： Feng Cheng ,  Henry H. Dao ,  Markus Ettl ,  Mary E. Helander ,  Jayant Kalagnanam ,  Karthik Sourirajan ,  Changhe Yuan

    IPC分类号： G06Q10/00 ,  G06F15/18 ,  G06N5/02

    CPC分类号： G06Q40/08 ,  G06N7/005 ,  G06Q10/067

    摘要： A method and system for identifying and quantifying a risk is disclosed. In one embodiment, the method comprises forming a two-dimensional risk matrix, wherein a first dimension of the matrix comprises risk variable categories and a second dimension comprises standard business processes, placing a risk variable onto the two-dimensional risk matrix, wherein the risk variable is categorized by one of the risk variable categories and one of the standard business processes, connecting the variable node with another risk variable in the two-dimensional risk matrix, and applying a learning method to the two-dimensional risk matrix to compose a risk model to use for quantifying the risk. The system comprises a processor operable to perform the steps embodied by the method.

    摘要翻译： 公开了一种用于识别和量化风险的方法和系统。 在一个实施例中，该方法包括形成二维风险矩阵，其中矩阵的第一维包括风险变量类别，第二维度包括标准业务流程，将风险变量置于二维风险矩阵上，其中风险 变量由风险变量类别之一和标准业务流程之一分类，将可变节点与二维风险矩阵中的另一风险变量相连接，并将学习方法应用于二维风险矩阵组成风险 用于量化风险的模型。 该系统包括可操作以执行由该方法体现的步骤的处理器。

    Data quality management using business process modeling
    6.
    发明申请
    Data quality management using business process modeling 审中-公开
    数据质量管理采用业务流程建模

    公开(公告)号：US20070198312A1

    公开(公告)日：2007-08-23

    申请号：US11357134

    申请日：2006-02-21

    申请人： Sugato Bagchi ,  Xue Bai ,  Jayant Kalagnanam

    发明人： Sugato Bagchi ,  Xue Bai ,  Jayant Kalagnanam

    IPC分类号： G06F17/50

    CPC分类号： G06Q10/067 ,  G06F16/215 ,  G06F17/18 ,  G06Q10/06 ,  G06Q10/06311 ,  G06Q10/06375 ,  G06Q10/06395

    摘要： A business process modeling framework is used for data quality analysis. The modeling framework represents the sources of transactions entering the information processing system, the various tasks within the process that manipulate or transform these transactions, and the data repositories in which the transactions are stored or aggregated. A subset of these tasks is associated as the potential error introduction sources, and the rate and magnitude of various error classes at each such task are probabilistically modeled. This model can be used to predict how changes in transactions volumes and business processes impact data quality at the aggregate level in the data repositories. The model can also account for the presence of error correcting controls and assess how the placement and effectiveness of these controls alter the propagation and aggregation of errors. Optimization techniques are used for the placement of error correcting controls that meet target quality requirements while minimizing the cost of operating these controls. This analysis also contributes to the development of business “dashboards” that allow decision-makers to monitor and react to key performance indicators (KPIs) based on aggregation of the transactions being processed. Data quality estimation in real time provides the accuracy of these KPIs (in terms of the probability that a KPI is above or below a given value), which may condition the action undertaken by the decision-maker.

    摘要翻译： 业务流程建模框架用于数据质量分析。 建模框架表示进入信息处理系统的事务的来源，处理或转换这些事务的过程中的各种任务，以及存储或聚合事务的数据存储库。 这些任务的子集与潜在的错误引入源相关联，并且对每个这样的任务的各种错误类别的速率和幅度进行概率建模。 该模型可用于预测事务卷和业务流程中的变更如何影响数据存储库中的聚合级别的数据质量。 该模型还可以解释错误纠正控件的存在，并评估这些控件的布局和有效性如何改变错误的传播和聚合。 优化技术用于放置符合目标质量要求的误差校正控制，同时最小化操作这些控制的成本。 这种分析还有助于开发业务“仪表板”，使决策者能够根据正在处理的交易的汇总来监测和反应关键绩效指标（KPI）。 实时数据质量评估提供了这些KPI的准确性（根据KPI高于或低于给定值的概率），这可能影响决策者采取的行动。