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1. 发明申请

US20080215511A1 SYSTEM AND METHOD FOR AUTOMATED PART-NUMBER MAPPING 失效
标题翻译：自动化零件编号的系统与方法
公开(公告)号：US20080215511A1
公开(公告)日：2008-09-04
申请号：US12062607
申请日：2008-04-04
申请人： Ghassan CHIDIAC , Jayant R. Kalagnanam , Moninder Singh , Sudhir Verma , Fabio Dennis White , Michael D. Patek , Yuk Wab Wong
发明人： Ghassan CHIDIAC , Jayant R. Kalagnanam , Moninder Singh , Sudhir Verma , Fabio Dennis White , Michael D. Patek , Yuk Wab Wong
IPC分类号： G06F15/18
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。

2. 发明授权

US07512553B2 System for automated part-number mapping 失效
标题翻译：用于自动部件号映射的系统
公开(公告)号：US07512553B2
公开(公告)日：2009-03-31
申请号：US10727978
申请日：2003-12-05
申请人： Ghassan Chidiac , Jayant R. Kalagnanam , Moninder Singh , Sudhir Verma , Fabio Dennis White , Michael D. Patek , Yuk Wah Wong
发明人： Ghassan Chidiac , Jayant R. Kalagnanam , Moninder Singh , Sudhir Verma , Fabio Dennis White , Michael D. Patek , Yuk Wah Wong
IPC分类号： G06Q10/00
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) to internal part numbers assigned by a BOM receiver. Historical data on bills of materials, known part number mappings, and parametric data describing the parts associated with bills of materials re received. Prediction models, for predicting BOM receiver internal part numbers, are learned from the historical BOM data, known part number mappings data and parametric data. The learned models are applied to unmapped BOM originator part numbers to assign BOM receiver internal part numbers.
摘要翻译：将与材料清单（BOM）中的部件相关联的部件号自动映射到由BOM接收器分配的内部部件号。材料清单的历史数据，已知零件号码映射以及描述与所接收的材料清单相关的部件的参数数据。用于预测BOM接收机内部零件编号的预测模型从历史BOM数据，已知零件编号映射数据和参数数据中学习。所学习的模型应用于未映射的BOM始发器部件号，以分配BOM接收器内部部件号。

3. 发明授权

US08001018B2 System and method for automated part-number mapping 失效
标题翻译：用于自动部件号映射的系统和方法
公开(公告)号：US08001018B2
公开(公告)日：2011-08-16
申请号：US12062607
申请日：2008-04-04
申请人： Ghassan Chidiac , Jayant R. Kalagnanam , Moninder Singh , Sudhir Verma , Fabio Dennis White , Michael D. Patek , Yuk Wah Wong
发明人： Ghassan Chidiac , Jayant R. Kalagnanam , Moninder Singh , Sudhir Verma , Fabio Dennis White , Michael D. Patek , Yuk Wah Wong
IPC分类号： G06Q10/00
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。

4. 发明授权

US09996074B2 System and predictive modeling method for smelting process control based on multi-source information with heterogeneous relatedness 有权
公开(公告)号：US09996074B2
公开(公告)日：2018-06-12
申请号：US15271367
申请日：2016-09-21
申请人： Yada Zhu , Jayant R. Kalagnanam
发明人： Yada Zhu , Jayant R. Kalagnanam
IPC分类号： G06F19/00 , G05B19/406 , G06N5/02 , G05B19/04
CPC分类号： G05B19/406 , G05B13/048 , G05B19/041 , G05B2219/41354 , G06N5/003 , G06N5/022 , G06N99/005
摘要： The present invention is a system and predictive modeling method specially designed to improve process control and energy efficiency for a smelting process used to produce pure metal from an ore containing said metal. Data is collected from various sensor sources in the smeltering process to predict whether an increase or decrease is needed in controlling two variables comprising temperature and an additive that allows the reaction in the electrolytic process to proceed at a lower bath temperature. The invention provides a generalized framework to learn the complex heterogeneity embedded in the collected data, and employs a regularized non-negative matrix factorization problem, which simultaneously decomposes the instance-feature and instance-label matrices, while enforcing task relatedness, feature type consistency and label correlations on the collected data. The predictive modeling method disclosed herein effectively mines the hidden correlation among the heterogeneous data and improves the prediction accuracy.

5. 发明申请

US20130041705A1 DISTRIBUTION NETWORK MAINTENANCE PLANNING 有权
标题翻译：分销网络维护计划
公开(公告)号：US20130041705A1
公开(公告)日：2013-02-14
申请号：US13205190
申请日：2011-08-08
申请人： Arun Hampapur , Jayant R. Kalagnanam , Emmanuel Yashchin , Yada Zhu
发明人： Arun Hampapur , Jayant R. Kalagnanam , Emmanuel Yashchin , Yada Zhu
IPC分类号： G06Q10/00
CPC分类号： G06Q10/10 , G06Q10/06
摘要： A system, method and computer program product for maintaining an infrastructure of components. The system receives structured data, unstructured data, and infrastructure data from a database. The system runs at least one statistical and optimization modeler with one or more of: the received structured data, the received unstructured data and the received infrastructure data, in order to calculate a health index of at least one component of the infrastructure. The health index represents a health attribute of the at least one component. The system establishes at least one maintenance plan of the infrastructure, based on the calculated health index. Each established maintenance plan is associated with at least one health index. The system compares health indices of the at least one established maintenance plan. The system selects a plan, among the at least one established maintenance plan, whose health index is a maximum among the compared health indices.
摘要翻译：一种用于维护组件基础设施的系统，方法和计算机程序产品。系统从数据库接收结构化数据，非结构化数据和基础架构数据。该系统运行至少一个统计和优化建模器，具有以下一个或多个：接收的结构化数据，接收的非结构化数据和接收的基础设施数据，以便计算基础设施的至少一个组件的健康指数。健康指数表示至少一个组件的健康属性。系统根据计算出的健康指数建立基础设施的至少一个维护计划。每个既定的维护计划与至少一个健康指数相关联。该系统比较至少一个已建立的维护计划的健康指数。所述系统在所述至少一个已建立的维护计划中选择其健康指数在所述健康指数中的最大值的计划。

6. 发明申请

US20120185106A1 INTEGRATION OF DEMAND RESPONSE AND RENEWABLE RESOURCES FOR POWER GENERATION MANAGEMENT 有权
标题翻译：整合需求响应和可再生能源发电管理
公开(公告)号：US20120185106A1
公开(公告)日：2012-07-19
申请号：US13085049
申请日：2011-04-12
申请人： Soumyadip Ghosh , Jayant R. Kalagnanam , Dmitriy A. Katz-Rogozhnikov , Mark S. Squillante , Xiaoxuan Zhang
发明人： Soumyadip Ghosh , Jayant R. Kalagnanam , Dmitriy A. Katz-Rogozhnikov , Mark S. Squillante , Xiaoxuan Zhang
IPC分类号： G06F1/28
CPC分类号： G06Q10/04 , G06Q50/06 , Y04S10/54 , Y04S50/00
摘要： System and method of solving, in a single-period, an optimal dispatching problem for a network of energy generators connected via multiple transmission lines, where it is sought to find the lowest operational cost of dispatching of various energy sources to satisfy demand. The model includes traditional thermal resources and renewable energy resources available generation capabilities within the grid. The method considers demand reduction as a virtual generation source that can be dispatched quickly to hedge against the risk of unforeseen shortfall in supply. Demand reduction is dispatched in response to incentive signals sent to consumers. The control options of the optimization model consist of the dispatching order and dispatching amount energy units at generators together with the rebate signals sent to end-users at each node of the network under a demand response policy. Numerical experiments based on an analysis of representative data illustrate the effectiveness of demand response as a hedging option.
摘要翻译：在单周期内，通过多条传输线路连接的能量发电网络的最佳调度问题解决的系统和方法，寻求各种能源调度的最低运行成本来满足需求。该模型包括传统热源和可再生能源在电网内的可用发电能力。该方法将减少需求视为可以迅速发布的虚拟世代源，以防止供不应求的短缺风险。减少需求是为了响应向消费者发出的激励信号。优化模型的控制选项包括发电机的调度顺序和调度量能量单元，以及根据需求响应策略在网络的每个节点处发送给终端用户的回扣信号。基于代表性数据分析的数值实验表明需求响应的有效性作为对冲选项。

7. 发明授权

US07702561B2 Automatic method for generating a mathematical program to identify an optimal all-or-nothing bid set for procurement-related reverse auctions 有权
标题翻译：用于生成数学程序以自动识别针对与采购相关的反向拍卖设置的最佳无差异出价的方法
公开(公告)号：US07702561B2
公开(公告)日：2010-04-20
申请号：US09917818
申请日：2001-07-31
申请人： Andrew J. Davenport , Jayant R. Kalagnanam , Ho Soo Lee
发明人： Andrew J. Davenport , Jayant R. Kalagnanam , Ho Soo Lee
IPC分类号： G06Q40/00
CPC分类号： G06Q30/08 , G06Q10/087 , G06Q40/04 , G06Q40/06
摘要： A method is provided for identifying a cost-minimizing bid set in a reverse combinatorial auction subject to various business rules for all-or-nothing bundled bids. The method includes introducing a decision variable for each bid, introducing a counting variable to indicate whether bids from a supplier are chosen in an optimal bid set, modeling demand constraints for each item using the bid variables, modeling minimum and maximum numbers of suppliers based on the counting variables, introducing dummy variables to ensure existence of feasible solutions, for a given cost formulating an objective of choosing bids that arrive early based on an additional timestamped objective with the given cost level as a constraint, and introducing price modifications to handle the formulated objective of choosing bids that arrive early.
摘要翻译：提供了一种用于识别反向组合拍卖中的成本最小化出价集，该方法是根据各种商业规则进行全或无捆绑出价。该方法包括为每个投标引入决策变量，引入计数变量以指示是否在最优投标集中选择来自供应商的投标，使用出价变量建模每个项目的需求约束，基于供应商的最小和最大数量建模计算变量，引入虚拟变量以确保可行解决方案的存在，给定成本制定了基于具有给定成本水平作为约束的附加时间戳目标来选择提前到达的投标的目标，并引入价格修改来处理所提出的选择提前到期的投标的目标。

8. 发明授权

US07536337B2 Method for computing payment discounts to achieve budget-balance in exchanges 有权
标题翻译：计算支付折扣以实现交易所的预算平衡的方法
公开(公告)号：US07536337B2
公开(公告)日：2009-05-19
申请号：US09918990
申请日：2001-07-31
申请人： David C. Parkes , Marta Eso , Jayant R. Kalagnanam
发明人： David C. Parkes , Marta Eso , Jayant R. Kalagnanam
IPC分类号： G06Q40/00
CPC分类号： G06Q30/08 , G06Q30/02 , G06Q30/0206 , G06Q40/04
摘要： Disclosed is a method for computing payment discounts awarded to winning agents in an exchange, the method comprising including a Vickrey discount to each of the winning agent as the difference between available surplus with all agents present minus available surplus without the winning agent, and computing said payment discounts by adjusting the Vickrey discounts so as to constrain the exchange to budget-balance.
摘要翻译：公开了一种用于计算授权给交易中的获胜代理人的支付折扣的方法，所述方法包括将每个所述获胜代理人的维克里折扣包括为所有代理商存在的可用剩余与所述获胜代理之间的可用剩余之间的差异，并且计算所述通过调整维克里折扣来支付折扣，以限制交易所的预算平衡。

9. 发明申请

US20080172277A1 ALGORITHMIC FRAMEWORK FOR SCHEDULING STEELMAKING PRODUCTION OPTIMIZING THE FLOW OF MOLTEN IRON SUBJECT TO INVENTORY CONSTRAINTS 审中-公开
标题翻译：用于调度炼钢生产的算法框架优化钢铁流向库存约束的流程
公开(公告)号：US20080172277A1
公开(公告)日：2008-07-17
申请号：US11623102
申请日：2007-01-15
申请人： Andrew J. Davenport , Jayant R. Kalagnanam
发明人： Andrew J. Davenport , Jayant R. Kalagnanam
IPC分类号： G05B19/418
CPC分类号： G05B13/021 , Y02P90/20
摘要： A method of scheduling of the manufacturing operations required to produce cast steel products from molten iron in a steel manufacturing plant.
摘要翻译：一种调度钢铁制造厂从铁水生产铸钢产品所需的制造操作的方法。

10. 发明授权

US06611814B1 System and method for using virtual wish lists for assisting shopping over computer networks 有权
标题翻译：使用虚拟愿望清单来协助通过计算机网络购物的系统和方法
公开(公告)号：US06611814B1
公开(公告)日：2003-08-26
申请号：US09618100
申请日：2000-07-17
申请人： Juhnyoung Lee , Jayant R. Kalagnanam , Andrew J. Davenport , Ho Soo Lee
发明人： Juhnyoung Lee , Jayant R. Kalagnanam , Andrew J. Davenport , Ho Soo Lee
IPC分类号： G06F1760
CPC分类号： G06Q30/0201 , G06Q30/02 , G06Q30/0601 , G06Q30/0631 , G06Q30/0633 , G06Q30/0641
摘要： A computer system and method uses one or more virtual wish lists of one or more shoppers over a computer network. One process extracts information from online address books or other personal databases, and creates lists of recipients for whom a shopper wants to purchase products. A second process obtains virtual wish lists of recipients by observing their visits to online stores, and other online behavior. Recipients are asked for permission to make this data available to other shoppers, online stores, and other Web sites. Recipients can modify their virtual wish lists, and selectively approve of their use by other shoppers, etc. A third process creates shopping lists for the recipients, and generates lists of recommended products for shoppers to buy for intended recipients.
摘要翻译：计算机系统和方法在计算机网络上使用一个或多个购物者的一个或多个虚拟愿望清单。一个过程从在线通讯簿或其他个人数据库中提取信息，并创建购物者想要购买产品的收件人列表。第二个过程通过观察他们对在线商店的访问以及其他在线行为来获得收件人的虚拟愿望清单。要求收件人允许将此数据提供给其他购物者，网上商店和其他网站。收件人可以修改他们的虚拟愿望清单，并选择性地批准其他购物者等的使用。第三个过程为收件人创建购物清单，并生成购买者为预期收件人购买的推荐产品列表。

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