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1. 发明授权

US08285409B2 Effective cycle time management employing a multi-horizon model 有权
标题翻译：有效的循环时间管理采用多层次模型
公开(公告)号：US08285409B2
公开(公告)日：2012-10-09
申请号：US12777715
申请日：2010-05-11
申请人： Soumyadip Ghosh , Jayant R. Kalagnanam , Dmitriy Katz-Rogozhnikov , James R. Luedtke
发明人： Soumyadip Ghosh , Jayant R. Kalagnanam , Dmitriy Katz-Rogozhnikov , James R. Luedtke
IPC分类号： G06F19/00 , G06Q10/00 , G06G7/48
CPC分类号： G05B19/41865 , G05B2219/32258 , G05B2219/32263 , G05B2219/32301 , Y02P90/20 , Y02P90/26 , Y02P90/86
摘要： Cycle time and throughput of a manufacturing facility is effectively manages by a control system that employs a combination of a long-term horizon model and at least one short-term horizon model to generate control signals for a set of machines in a manufacturing facility. The long-term horizon model determines long-term average time allocation percentage for each machine for a given set of throughput targets and cycle time targets for products to be manufactured. Each of the at least one short-term horizon model determines queues for immediate use at processing tools, while the queues are subjected to a secondary adjustment based on the time allocation constraints generated by the long-term horizon model. The combination of the long-term and the at least one short-term horizon models provides a stable long-term proactive WIP bubble-management as well as short-term WIP bubble management.
摘要翻译：制造设施的循环时间和生产量由采用长期水平模型和至少一个短期水平模型的组合的控制系统有效地管理，以生产制造设备中的一组机器的控制信号。长期视野模型确定了要制造的产品的给定集合吞吐量目标和周期时间目标的每台机器的长期平均时间分配百分比。所述至少一个短期水平模型中的每一个确定在处理工具上立即使用的队列，同时基于由长期视野模型产生的时间分配约束对队列进行二次调整。长期和至少一个短期视野模型的结合提供了稳定的长期主动的WIP泡沫管理以及短期的WIP泡沫管理。

2. 发明申请

US20110282475A1 EFFECTIVE CYCLE TIME MANAGEMENT EMPLOYING A MULTI-HORIZON MODEL 有权
标题翻译：有效的周期时间管理采用多模型
公开(公告)号：US20110282475A1
公开(公告)日：2011-11-17
申请号：US12777715
申请日：2010-05-11
申请人： Soumyadip Ghosh , Jayant R. Kalagnanam , Dmitriy Katz-Rogozhnikov , James R. Luedtke
发明人： Soumyadip Ghosh , Jayant R. Kalagnanam , Dmitriy Katz-Rogozhnikov , James R. Luedtke
IPC分类号： G05B13/04 , G06F19/00
CPC分类号： G05B19/41865 , G05B2219/32258 , G05B2219/32263 , G05B2219/32301 , Y02P90/20 , Y02P90/26 , Y02P90/86
摘要： Cycle time and throughput of a manufacturing facility is effectively manages by a control system that employs a combination of a long-term horizon model and at least one short-term horizon model to generate control signals for a set of machines in a manufacturing facility. The long-term horizon model determines long-term average time allocation percentage for each machine for a given set of throughput targets and cycle time targets for products to be manufactured. Each of the at least one short-term horizon model determines queues for immediate use at processing tools, while the queues are subjected to a secondary adjustment based on the time allocation constraints generated by the long-term horizon model. The combination of the long-term and the at least one short-term horizon models provides a stable long-term proactive WIP bubble-management as well as short-term WIP bubble management.
摘要翻译：制造设施的循环时间和生产量由采用长期水平模型和至少一个短期水平模型的组合的控制系统有效地管理，以生产制造设备中的一组机器的控制信号。长期视野模型确定了要制造的产品的给定集合吞吐量目标和周期时间目标的每台机器的长期平均时间分配百分比。所述至少一个短期水平模型中的每一个确定在处理工具上立即使用的队列，同时基于由长期视野模型产生的时间分配约束对队列进行二次调整。长期和至少一个短期视野模型的结合提供了稳定的长期主动的WIP泡沫管理以及短期的WIP泡沫管理。

3. 发明授权

US07702411B2 Integration of job shop scheduling with discreet event simulation for manufacturing facilities 有权
标题翻译：将工作车间调度与制造设施的谨慎事件模拟相结合
公开(公告)号：US07702411B2
公开(公告)日：2010-04-20
申请号：US11756356
申请日：2007-05-31
申请人： Sugato Bagchi , Soumyadip Ghosh , Jayant R. Kalagnanam
发明人： Sugato Bagchi , Soumyadip Ghosh , Jayant R. Kalagnanam
IPC分类号： G06F19/00
CPC分类号： G05B19/41865 , G05B19/41885 , G05B2219/32252 , G05B2219/32301 , G06Q10/06 , G06Q10/06312
摘要： A method and system for integrating job shop scheduling with discrete event simulation for manufacturing facilities are provided. In one aspect a simulator simulates discrete events of a facility using a job schedule generated by a scheduler. The simulator simulates the facility based on one or more local rules, one or more resources, and one or more parameters associated with said locals rules and said resources. The simulator further models said one or more parameters as random variables and using said random variables in its simulation of the facility. The scheduler receives feedback based on output from the simulating step. The feedback includes at least an instruction to the scheduler to include at least one of said one or more resource and to change said one or more parameters based on said modeling of said one or more parameters as random variables. The scheduler uses the feedback for generating an updated schedule.
摘要翻译：提供了一种将作业车间调度与制造设施的离散事件仿真相结合的方法和系统。在一个方面，模拟器使用由调度器生成的作业调度来模拟设施的离散事件。模拟器基于一个或多个本地规则，一个或多个资源以及与所述本地规则和所述资源相关联的一个或多个参数来模拟设备。模拟器进一步将一个或多个参数模拟为随机变量，并在其设备的仿真中使用所述随机变量。调度器基于模拟步骤的输出接收反馈。所述反馈至少包括指令，所述调度器至少包括所述一个或多个资源中的至少一个，并且基于所述一个或多个参数的所述建模来将所述一个或多个参数改变为随机变量。调度器使用反馈来生成更新的时间表。

4. 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。

5. 发明授权

US08949160B2 Systems and methods for generating wind power scenarios for wind-power-integrated stochastic unit commitment problems 有权
标题翻译：用于生成风力发电风力发电场景的系统和方法，用于风电综合随机单元承诺问题
公开(公告)号：US08949160B2
公开(公告)日：2015-02-03
申请号：US13414122
申请日：2012-03-07
申请人： Soumyadip Ghosh , Jayant R. Kalagnanam , Ali Koc
发明人： Soumyadip Ghosh , Jayant R. Kalagnanam , Ali Koc
IPC分类号： G06F15/18 , G06N5/04 , G06N7/00
CPC分类号： G06N5/04 , G06F17/11 , G06N7/00 , G06Q10/04 , G06Q50/06 , H02J3/386 , H02J2003/007 , Y02E10/763 , Y02E60/76 , Y04S40/22
摘要： The present disclosure relates generally to systematic algorithms (and associated systems and methods) that take a forecast model as input and produce a discrete probability distribution as output, using scenario reduction ideas from stochastic programming. In one example, an algorithm (and associated system and method) creates scenarios sequentially for each time period, leading to a scenario tree.
摘要翻译：本公开一般涉及使用预测模型作为输入并且使用来自随机规划的情景减少思想从而产生离散概率分布作为输出的系统算法（和相关系统和方法）。在一个示例中，算法（和相关联的系统和方法）针对每个时间段顺序地创建场景，导致场景树。

6. 发明授权

US08626353B2 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资源用于发电管理
公开(公告)号：US08626353B2
公开(公告)日：2014-01-07
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： G05D3/12 , G05D13/02 , G06F17/50 , G06F7/48 , G06Q10/00 , G06Q40/00
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. 发明申请

US20120078687A1 SYSTEM AND METHOD FOR LOWEST COST AGGREGATE ENERGY DEMAND REDUCTION 审中-公开
标题翻译：最小成本能量需求减少的系统和方法
公开(公告)号：US20120078687A1
公开(公告)日：2012-03-29
申请号：US12890119
申请日：2010-09-24
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： G06Q30/00 , G06F17/00
CPC分类号： G06Q30/0207 , G06Q50/06
摘要： A method, apparatus and computer program product for determining lowest cost aggregate energy demand reduction at multiple network levels such as distribution and feeder networks. An algorithm for an optimal incentive mechanism offered to energy customers (e.g. of a utility power entity) that accounts for heterogeneous customer flexibility in load reduction, with the demand response realized via the utility's rebate signal and, accounts for temporal aspects of demand shift in response for rebates. A mathematical formulation of a cost minimization problem is solved to provide incentives for customers to reduce their demand. A gradient descent algorithm is used to solve for the optimal incentives customized for individual end users.
摘要翻译：一种用于确定多个网络级别（例如分配和馈线网络）的最低成本总体能量需求减少的方法，装置和计算机程序产品。提供给能源客户（例如公用事业电力实体）的优化激励机制的算法，其考虑到异构客户在负载减少中的灵活性，通过公用事业公司的回扣信号实现需求响应，并考虑到需求转移的时间方面为了回扣。解决了成本最小化问题的数学公式，为客户减少需求提供激励。梯度下降算法用于解决针对个人最终用户定制的最佳激励措施。

8. 发明申请

US20080300705A1 INTEGRATION OF JOB SHOP SCHEDULING WITH DISCRETE EVENT SIMULATION FOR MANUFACTURING FACILITIES 有权
标题翻译：以制造设备的离散事件模拟整理工作范围调度
公开(公告)号：US20080300705A1
公开(公告)日：2008-12-04
申请号：US11756356
申请日：2007-05-31
申请人： Sugato Bagchi , Soumyadip Ghosh , Jayant R. Kalagnanam
发明人： Sugato Bagchi , Soumyadip Ghosh , Jayant R. Kalagnanam
IPC分类号： G06F19/00
CPC分类号： G05B19/41865 , G05B19/41885 , G05B2219/32252 , G05B2219/32301 , G06Q10/06 , G06Q10/06312
摘要： A method and system for integrating job shop scheduling with discrete event simulation for manufacturing facilities are provided. In one aspect a simulator simulates discrete events of a facility using a job schedule generated by a scheduler. The simulator simulates the facility based on one or more local rules, one or more resources, and one or more parameters associated with said locals rules and said resources. The simulator further models said one or more parameters as random variables and using said random variables in its simulation of the facility. The scheduler receives feedback based on output from the simulating step. The feedback includes at least an instruction to the scheduler to include at least one of said one or more resource and to change said one or more parameters based on said modeling of said one or more parameters as random variables. The scheduler uses the feedback for generating an updated schedule.
摘要翻译：提供了一种将作业车间调度与制造设施的离散事件仿真相结合的方法和系统。在一个方面，模拟器使用由调度器生成的作业调度来模拟设施的离散事件。模拟器基于一个或多个本地规则，一个或多个资源以及与所述本地规则和所述资源相关联的一个或多个参数来模拟设备。模拟器进一步将一个或多个参数模拟为随机变量，并在其设备的仿真中使用所述随机变量。调度器基于模拟步骤的输出接收反馈。所述反馈至少包括指令，所述调度器至少包括所述一个或多个资源中的至少一个，并且基于所述一个或多个参数的所述建模来将所述一个或多个参数改变为随机变量。调度器使用反馈来生成更新的时间表。

9. 发明申请

US20130238530A1 SYSTEMS AND METHODS FOR GENERATING WIND POWER SCENARIOS FOR WIND-POWER-INTEGRATED STOCHASTIC UNIT COMMITMENT PROBLEMS 有权
标题翻译：风力发电机组承诺问题产生风力发电场的系统与方法
公开(公告)号：US20130238530A1
公开(公告)日：2013-09-12
申请号：US13414122
申请日：2012-03-07
申请人： Soumyadip Ghosh , Jayant R. Kalagnanam , Ali Koc
发明人： Soumyadip Ghosh , Jayant R. Kalagnanam , Ali Koc
IPC分类号： G06F15/18
CPC分类号： G06N5/04 , G06F17/11 , G06N7/00 , G06Q10/04 , G06Q50/06 , H02J3/386 , H02J2003/007 , Y02E10/763 , Y02E60/76 , Y04S40/22
摘要： The present disclosure relates generally to systematic algorithms (and associated systems and methods) that take a forecast model as input and produce a discrete probability distribution as output, using scenario reduction ideas from stochastic programming. In one example, an algorithm (and associated system and method) creates scenarios sequentially for each time period, leading to a scenario tree.
摘要翻译：本公开一般涉及使用预测模型作为输入并且使用来自随机规划的情景减少思想从而产生离散概率分布作为输出的系统算法（和相关系统和方法）。在一个示例中，算法（和相关联的系统和方法）针对每个时间段顺序地创建场景，导致场景树。

10. 发明申请

US20110258087A1 ANALYTICS FOR SETTING UP STRATEGIC INVENTORY SYSTEMS TO HANDLE SMALL LOT ORDERS IN THE STEEL INDUSTRY 审中-公开
标题翻译：设立战略性库存系统以分析钢铁行业小批量的分析
公开(公告)号：US20110258087A1
公开(公告)日：2011-10-20
申请号：US12760101
申请日：2010-04-14
申请人： Soumyadip Ghosh , Jayant R. Kalagnanam
发明人： Soumyadip Ghosh , Jayant R. Kalagnanam
IPC分类号： G06Q10/00 , G05B13/04 , G05B13/02
CPC分类号： G06Q10/087 , G05B19/41865 , G05B2219/31319 , G05B2219/32323 , G06Q10/06315 , G06Q10/0875 , Y02P90/20
摘要： A method of managing manufacturing production includes determining a plurality of products for manufacture using a production line is disclosed. Each product is specified by composition and production line steps and criteria. Production orders for products are analyzed to determine whether products should be grouped into product-types, and whether product (type) should be made-to-stock or made to order. Queuing theory based analytic methods and optimization based heuristics are used to determine the priority for each product in the production line, taking product substitution opportunities in batch-production into account. Preselected points along the production line are determined for gathering an amount of inventory for each product. This decision is made considering product-differentiation down the line. An established inventory policy for each product at preselected points along the production line requires that inventory is reviewed and an order is placed for additional inventory when on hand inventory reaches a predetermined reorder point.
摘要翻译：管理制造生产的方法包括使用生产线确定用于制造的多个产品。每个产品都由组合和生产线步骤和标准指定。对产品的生产订单进行分析，以确定产品是否应分为产品类型，产品（类型）是否应进行库存订购或订购。基于排队理论的分析方法和基于优化的启发式用于确定生产线中每种产品的优先级，考虑批量生产中的产品替代机会。确定生产线上的预选点，以收集每个产品的库存量。这个决定是考虑到产品差异化的。在生产线上的预选点，每个产品的已建立的库存政策要求对库存进行审查，并在库存盘点达到预定的重新订购点时下订单。

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