CONFIGURATION PRICING STRATEGIES FOR MULTI-COMMODITY REQUEST-FOR-QUOTES
    15.
    发明申请
    CONFIGURATION PRICING STRATEGIES FOR MULTI-COMMODITY REQUEST-FOR-QUOTES 失效
    多个商品要求的配置定价策略

    公开(公告)号:US20120290500A1

    公开(公告)日:2012-11-15

    申请号:US13106474

    申请日:2011-05-12

    CPC classification number: G06Q30/0283

    Abstract: Win probability estimation model that statistically computes the probability of winning a bid at a given price, and profit optimization models that compute the optimal price for a bid balancing the probability of winning a bid at a price with the profitability of the bid at the given price. In one stage, an expected profit margin of a product may be formulated as a function of its profit margin and win probability to compute its optimal profit margin. In another stage, an expected profit for one or more product accessories may be formulated as a function of the profit margin and their conditional win probability given the server win to compute their optimal profit margins. The conditional win probabilities for the product accessories may be modeled as a function of the utilities of the various purchase options that contain the product and that accessory.

    Abstract translation: 赢取概率估计模型,统计计算以给定价格赢得出价的概率;以及计算出价最优价格的利润优化模型,平衡以一定价格获胜出价的概率与投标的收益在给定价格 。 在一个阶段,产品的预期利润率可以被制定为其利润率的函数,并获得计算其最佳利润率的概率。 在另一个阶段,一个或多个产品配件的预期利润可以根据服务器赢得计算其最佳利润率而被制定为利润率和有条件获胜概率的函数。 产品配件的条件获胜概率可以被模拟为包含产品和该附件的各种购买选项的功能的函数。

    Proactive demand shaping for a configurable product portfolio with uncertain demand
    19.
    发明授权
    Proactive demand shaping for a configurable product portfolio with uncertain demand 失效
    对需求不确定的可配置产品组合的积极需求塑造

    公开(公告)号:US08527322B2

    公开(公告)日:2013-09-03

    申请号:US12614223

    申请日:2009-11-06

    CPC classification number: G06Q30/06 G06Q30/0202

    Abstract: Proactive demand shaping of configurable products with uncertain demand computes a lower bound and an upper bound on optimal profit by considering future demand distribution of one or more products, supply outlook of one or more components and customer behavior. The upper bound and the lower bound solutions are used to generate one or more rationing heuristics. Simulation may be used to determine a rationing policy to implement in practice.

    Abstract translation: 通过考虑未来一个或多个产品的需求分布,提供一个或多个组件和客户行为的前景,主动需求塑造具有不确定需求的可配置产品计算最优利润的下限和上限。 上限和下限解被用于产生一个或多个配给启发式。 模拟可用于确定在实践中实施的配给策略。

    Carbon management for sourcing and logistics
    20.
    发明授权
    Carbon management for sourcing and logistics 失效
    采购和物流的碳管理

    公开(公告)号:US08346595B2

    公开(公告)日:2013-01-01

    申请号:US12323775

    申请日:2008-11-26

    Abstract: Embodiments of the invention provide a method, system and computer program product for carbon management for sourcing and logistics. In one embodiment, the method comprises using a computer for quantifying both a cost and a carbon impact of one or more logistics policies relating to a manufacturing process; and minimizing the cost and carbon impact using a defined equation including a first component representing a transportation cost, and a second component representing a carbon cost. In an embodiment of the invention, the quantifying includes using an analytics engine to quantify the cost and carbon impact. The analytics engine may include a shipment analysis module to calculate an optimal transportation policy, a sourcing analysis module for testing alternate sourcing options, a scenario analysis module to find an optimal order frequency, and a sensitivity analysis module to test the impact of various changes.

    Abstract translation: 本发明的实施例提供了用于采购和物流的碳管理的方法,系统和计算机程序产品。 在一个实施例中,该方法包括使用计算机来量化与制造过程相关的一个或多个后勤政策的成本和碳影响; 并且使用包括表示运输成本的第一组分的定义方程和代表碳成本的第二组分来最小化成本和碳冲击。 在本发明的一个实施例中,量化包括使用分析引擎量化成本和碳影响。 分析引擎可以包括用于计算最佳运输政策的出货分析模块,用于测试替代采购选项的采购分析模块,用于找到最佳订单频率的情景分析模块,以及用于测试各种变更的影响的灵敏度分析模块。

Patent Agency Ranking