公开(公告)号：US20140278780A1

公开(公告)日：2014-09-18

申请号：US14354100

申请日：2011-10-31

Applicant: Burcu Aydin ,  Kemal Guler ,  Enis Kayis ,  Mehmet O. Sayal

Inventor： Burcu Aydin ,  Kemal Guler ,  Enis Kayis ,  Mehmet O. Sayal

IPC: G06Q30/02

CPC classification number: G06Q30/0202 ,  G06Q10/04 ,  G06Q10/087

Abstract: A non-transitory machine-readable storage device comprising executable instructions that, when executed cause a processor to estimate a dependence vector (104), resulting in a first dependence estimate. The processor is further caused to estimate a sampling of unobserved demand (108) using the first dependence estimate to scale observed factors. The processor is further caused to output to a display device (110) information based on the first dependence estimate or the sampling.

Abstract translation: 一种非暂时机器可读存储设备，包括可执行指令，当被执行时，导致处理器估计依赖向量（104），导致第一依赖性估计。 进一步使处理器使用第一依赖估计来估计观察因子的不可观察需求的采样（108）。 还基于第一依赖性估计或采样，将处理器输出到显示装置（110）。

公开(公告)号：US20140019210A1

公开(公告)日：2014-01-16

申请号：US13547804

申请日：2012-07-12

Applicant: Jose Luis Beltran Guerrero ,  Ruxian Wang ,  Enis Kayis ,  Guillermo Gallego ,  Jianqiang Wang ,  Kay-Yut Chen ,  Shailendra K. Jain

Inventor： Jose Luis Beltran Guerrero ,  Ruxian Wang ,  Enis Kayis ,  Guillermo Gallego ,  Jianqiang Wang ,  Kay-Yut Chen ,  Shailendra K. Jain

IPC: G06Q10/00

CPC classification number: G06Q30/02

Abstract: Methods, systems, and computer-readable and executable instructions are provided for determining a product price. Determining a product price can include determining an initial market attraction value, a market price sensitivity, and cost information for a product. Determining a product price can also include receiving a market constraint with respect to the product and pricing the product based on the initial market attraction value, the market price sensitivity, the cost information, and the market constraint.

Abstract translation: 提供了用于确定产品价格的方法，系统和计算机可读和可执行指令。 确定产品价格可以包括确定产品的初始市场吸引力值，市场价格敏感度和成本信息。 确定产品价格还可以包括根据初始市场吸引力值，市场价格敏感性，成本信息和市场约束来接收关于产品的市场约束和定价产品。

公开(公告)号：US20110295756A1

公开(公告)日：2011-12-01

申请号：US12789314

申请日：2010-05-27

Applicant: Julie Ward Drew ,  Ruxian Wang ,  Guillermo Gallego ,  Ming Hu ,  Enis Kayis ,  Filippo Balestrieri ,  Shelen Jain ,  Jose Luis Beltran Guerrero ,  Douglas M. Gilbert

Inventor： Julie Ward Drew ,  Ruxian Wang ,  Guillermo Gallego ,  Ming Hu ,  Enis Kayis ,  Filippo Balestrieri ,  Shelen Jain ,  Jose Luis Beltran Guerrero ,  Douglas M. Gilbert

IPC: G06Q10/00

CPC classification number: G06Q10/063 ,  G06Q10/067 ,  G06Q10/20 ,  G06Q30/012

Abstract: A system and method for determining the optimum price that a service provider should charge to customers of at least a partially refundable extended-product warranty to optimize profits generated from providing such warranties. In one aspect of the present invention the customer may elect to purchase warranty coverage when the product is new and cancel warranty coverage at any time thereafter, which election is based in part on the customer's expected discounted net utility from his coverage decisions. In another aspect of the present invention, the customer is allowed to make dynamic repair or replacement decisions in each period based on the product's failure status or on other criteria. In one embodiment, the customer can be afforded warranty coverage flexibility in terms of his ability to turn coverage off whenever desired and to obtain a partial refund of the warranty premium. By properly modeling extended-product warranty strategies from the perspective of the customer and from the perspective of the service provider, one can compute the customers' expected discounted net utility and the provider's expected discounted profit from strategic customers. In another aspect of the present invention a computer-based service is provided to the customer of the extended-product warranty for determining the customer's optimal dynamic decisions to maximize the customer's expected discounted net utility when making product replacement decisions, maintenance decisions, and warranty coverage decisions.

Abstract translation: 用于确定服务提供商应向客户收取至少部分可退还的扩展产品保证以优化从提供此类保证产生的利润的最优价格的系统和方法。 在本发明的一个方面，客户可以选择在产品新时购买保修范围，并在此后任何时间取消保修范围，该选择部分取决于客户的覆盖决定中的预期折扣净效用。 在本发明的另一方面，允许客户基于产品的故障状态或其他标准在每个时间段内进行动态维修或更换决定。 在一个实施例中，客户可以根据其在需要时关闭覆盖范围的能力以及获得部分退还保修费的能力提供保修范围的灵活性。 通过从客户的角度和从服务提供商的角度对扩展产品保修策略进行适当建模，可以计算客户预期的折扣净效用和供应商预期的战略客户折扣利润。 在本发明的另一方面，向客户提供基于计算机的服务，以便在进行产品更换决定，维护决策和保修范围时，确定客户的最佳动态决策以最大限度地提高客户的折扣净效用 决定。

公开(公告)号：US20130111389A1

公开(公告)日：2013-05-02

申请号：US13284570

申请日：2011-10-28

Applicant: Burcu Aydin ,  Kemal Guler ,  Mehmet Oguz Sayal ,  Enis Kayis

Inventor： Burcu Aydin ,  Kemal Guler ,  Mehmet Oguz Sayal ,  Enis Kayis

IPC: G06F3/048

CPC classification number: G06Q10/04 ,  G06F3/048 ,  G06Q10/06375 ,  G06T11/206

Abstract: A method performed by a processing system displays a graph of a portion of a rolling horizon time series corresponding to a realization of a realization time series adjacent to a graph of the realization time series.

Abstract translation: 由处理系统执行的方法显示与实现时间序列的图形相邻的实现时间序列的实现对应的滚动水平时间序列的一部分的曲线图。

公开(公告)号：US20110307319A1

公开(公告)日：2011-12-15

申请号：US12815732

申请日：2010-06-15

Applicant: Filippo Balestrieri ,  Enis Kayis ,  Shyam Sundar Rajaram

Inventor： Filippo Balestrieri ,  Enis Kayis ,  Shyam Sundar Rajaram

IPC: G06Q30/00

CPC classification number: G06Q30/02 ,  G06Q30/0239 ,  G06Q30/0254

Abstract: The present disclosure includes a system and method for designing and displaying advertisements. One or more targeted advertising methods include surveying potential customers to ascertain a price sensitivity and a likelihood of the potential customers purchasing products and/or observing venues, and clustering the potential customers according to product clusters based on the likelihood of purchasing products. Potential customers of each product cluster are clustered according to one or more venue clusters based on a likelihood of the potential customers of respective product clusters to observe the venues. An advertisement is designed for a venue corresponding to a particular venue cluster to include at least one product corresponding to a particular product cluster which is promotionally-priced based on the price sensitivity of potential customers of a particular venue cluster. An electronic display of the venue is modified to include the designed advertisement.

Abstract translation: 本公开包括用于设计和显示广告的系统和方法。 一种或多种有针对性的广告方法包括测量潜在客户以确定价格敏感度，以及潜在客户购买产品和/或观察场所的可能性，以及根据购买产品的可能性的潜在客户根据产品集群进行聚类。 每个产品集群的潜在客户根据一个或多个场馆集群进行聚类，基于相应产品集群的潜在客户观察场地的可能性。 广告被设计用于对应于特定场所集群的场地，以包括至少一个与特定产品集群相对应的产品，该商品集群是基于特定场地集群的潜在客户的价格敏感性被促销定价的。 场地的电子显示器被修改为包括设计的广告。

公开(公告)号：US09195951B2

公开(公告)日：2015-11-24

申请号：US13284570

申请日：2011-10-28

Applicant: Burcu Aydin ,  Kemal Guler ,  Mehmet Oguz Sayal ,  Enis Kayis

Inventor： Burcu Aydin ,  Kemal Guler ,  Mehmet Oguz Sayal ,  Enis Kayis

IPC: G06F3/048 ,  G06Q10/04 ,  G06T11/20 ,  G06Q10/06

CPC classification number: G06Q10/04 ,  G06F3/048 ,  G06Q10/06375 ,  G06T11/206

Abstract: A method performed by a processing system displays a graph of a portion of a rolling horizon time series corresponding to a realization of a realization time series adjacent to a graph of the realization time series.

Abstract translation: 由处理系统执行的方法显示与实现时间序列的图形相邻的实现时间序列的实现对应的滚动水平时间序列的一部分的曲线图。

公开(公告)号：US20140039906A1

公开(公告)日：2014-02-06

申请号：US13563575

申请日：2012-07-31

Applicant: Haiyan Wang ,  Cipriano A. Santos ,  Enis Kayis ,  Shailendra K. Jain ,  Sharad Singhal ,  Maria Teresa Gonzalez Diaz

Inventor： Haiyan Wang ,  Cipriano A. Santos ,  Enis Kayis ,  Shailendra K. Jain ,  Sharad Singhal ,  Maria Teresa Gonzalez Diaz

IPC: G06Q50/22

CPC classification number: G06Q10/06 ,  G06Q50/22

Abstract: Techniques for generating optimized surgery schedules are described in various implementations. In one example implementation, a method that implements the techniques includes receiving a plurality of surgery scheduling requests for surgical procedures to be performed at a surgical facility having a plurality of operating rooms. The method also includes identifying resource constraints associated with the surgery scheduling requests, and identifying an optimization goal for the surgical facility, the optimization goal being defined using weighted optimization parameters. The method also includes generating a proposed surgery schedule for the surgical facility that includes sequencing and operating room assignments for each of the surgical procedures to be performed, the proposed surgery schedule satisfying the resource constraints and being optimized based on the optimization goal for the surgical facility. The method also includes simulating the proposed surgery schedule to determine expected operational metrics associated with the proposed surgery schedule.

Abstract translation: 在各种实施方式中描述了用于产生优化的手术进度的技术。 在一个示例实现中，实现技术的方法包括：在具有多个手术室的手术设备处接收用于外科手术的多个手术调度请求。 该方法还包括识别与手术调度请求相关联的资源约束，以及识别手术设备的优化目标，使用加权优化参数来定义优化目标。 该方法还包括产生外科手术设备的建议手术时间表，其包括要执行的每个手术程序的排序和手术室分配，所提出的手术方案满足资源约束并且基于外科手术设备的优化目标进行优化 。 该方法还包括模拟所提出的手术时间表以确定与所提出的手术时间表相关联的预期操作指标。

公开(公告)号：US20130346033A1

公开(公告)日：2013-12-26

申请号：US13528972

申请日：2012-06-21

Applicant: Jianqiang Wang ,  Kay-Yut Chen ,  Enis Kayis ,  Guillermo Gallego ,  Jose Luis Beltran Guerrero ,  Ruxian Wang ,  Shailendra K. Jain

Inventor： Jianqiang Wang ,  Kay-Yut Chen ,  Enis Kayis ,  Guillermo Gallego ,  Jose Luis Beltran Guerrero ,  Ruxian Wang ,  Shailendra K. Jain

IPC: G06F17/10

CPC classification number: G06F17/10 ,  G06F17/18 ,  G06Q10/04 ,  G06Q30/0206

Abstract: Parent node data is split into first and second child nodes based on a first partition variable to create a tree-based model. A first regression model for the first child node data relates the response variable and the predictor variable.

Abstract translation: 基于第一个分区变量将父节点数据分割为第一和第二子节点，以创建基于树的模型。 第一个子节点数据的第一个回归模型与响应变量和预测变量相关。

公开(公告)号：US20130060649A1

公开(公告)日：2013-03-07

申请号：US13634772

申请日：2010-04-19

Applicant: Julie Ward Drew ,  Filippo Balestrieri ,  Enis Kayis ,  Shyam Sundar Rajaram ,  Shailendra K. Jain

Inventor： Julie Ward Drew ,  Filippo Balestrieri ,  Enis Kayis ,  Shyam Sundar Rajaram ,  Shailendra K. Jain

IPC: G06Q30/00

CPC classification number: G06Q30/00

Abstract: Each product of a number of products is assigned to one of a number of popularity tiers. The popularity tiers are ordered from a most popular tier to a least popular tier. The popularity tiers indicate how popular the products are expected to be among consumers. Each product is assigned to one of a number of margin tiers. The margin tiers are ordered from a highest margin tier to a lowest margin tier. The margin tiers indicate how much money a retailer makes in selling the products to the consumers. Which of the products to offer for sale by the retailer to the consumers are selected by applying decision rules to the products as have been assigned to the popularity tiers and to the margin tiers.

Abstract translation: 许多产品的每个产品都被分配到多个知名级之一。 受欢迎的层次从最受欢迎的层次到最不受欢迎的层次。 受欢迎程度表明产品预计将在消费者当中流行。 每个产品都被分配到多个保证金层之一。 保证金层从最高保证金层到最低保证金层。 保证金层表示零售商向消费者出售产品所需的金额。 零售商向消费者提供哪些产品可以通过将决策规则应用于已分配给受欢迎度层和边缘层的产品进行选择。

公开(公告)号：US20120022920A1

公开(公告)日：2012-01-26

申请号：US13260258

申请日：2010-02-26

Applicant: Filippo Balestrieri ,  Sundar Rajaram ,  Julie Ward Drew ,  Enis Kayis

Inventor： Filippo Balestrieri ,  Sundar Rajaram ,  Julie Ward Drew ,  Enis Kayis

IPC: G06Q30/02

CPC classification number: G06Q30/02 ,  G06Q30/0203

Abstract: A method (200) of eliciting customer preference from purchasing behavior surveys clusters (210) survey respondents into two or more clusters according to a data pattern identified in a dataset (330) of responses to survey questions that include a question regarding a product purchasing decision, and questions regarding respondent attributes (such as behavioral questions) and product attributes. Clustering (210) may be performed based on responses to behavioral questions that are not endogenously linked to any control variables. A model for each cluster, relating purchasing decision responses to product attribute responses, is produced (220), and each model is used to generate (230) projected purchasing decision responses for each cluster by replacing a value relating to a response to a selected product attribute question, which may be a control variable, with an alternative value. The dataset is transformed (240) by replacing purchasing decision responses with the projected responses. Survey respondents are then re-clustered (250), and duster shift is analyzed (260).

Abstract translation: 一种从采购行为调查集群（210）引出客户偏好的方法（200）（210）根据在包括关于产品购买决定的问题的调查问题的数据集（330）中标识的数据模式将受访者调查为两个或多个集群 以及关于被访者属性（如行为问题）和产品属性的问题。 可以基于对与任何控制变量内生链接的行为问题的响应来执行聚类（210）。 产生每个集群的模型，将购买决策响应与产品属性响应相关联（220），并且每个模型用于通过将与所选产品的响应相关的值替换为每个集群的（230）预测购买决策响应 属性问题，其可以是具有替代值的控制变量。 通过用预测的响应替换购买决策响应来转换数据集（240）。 调查受访者然后重新聚集（250），并分析除尘器移位（260）。