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公开(公告)号：US20140343711A1
公开(公告)日：2014-11-20
申请号：US13897250
申请日：2013-05-17
申请人： International Business Machines Corporation , The Research Foundation of State University of New York
IPC分类号： G05B15/02
CPC分类号： G05B19/41865 , G05B2219/32027 , G05B2219/32266 , Y02P90/18 , Y02P90/20 , Y02P90/26
摘要： A method for order prioritization includes calculating a cycle time for a product order of a plurality of product orders using an artificial neural network, determining a first order priority of the product order based on a priority index using an analytic hierarchy process, determining a second order priority of the product order based on event based simulation model, and determining a shipping date for the product order based on the second order priority. The artificial neural network calculates the cycle time based upon product order type and a plurality of component counts. The analytic hierarchy process determines a first order priority based upon a plurality of product order attributes. The simulation model determines a second order priority and completion time based upon the first order priority, product model, product type, a plurality of component counts, manufacturing capacity and inventory data, and production time data for historical product orders.
摘要翻译： 一种用于订单优先级的方法包括使用人造神经网络计算多个产品订单的商品订单的周期时间，使用分析层级过程基于优先级索引确定商品订单的一级优先级，确定第二订单 基于事件的仿真模型的产品订单的优先级，以及基于二阶优先级确定产品订单的发货日期。 人造神经网络基于产品订单类型和多个组件计数来计算周期时间。 分析层级过程基于多个产品订单属性来确定第一订单优先级。 模拟模型基于第一阶优先级，产品型号，产品类型，多个组件数量，制造能力和库存数据以及历史产品订单的生产时间数据来确定二阶优先级和完成时间。
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公开(公告)号：US09606530B2
公开(公告)日：2017-03-28
申请号：US13897250
申请日：2013-05-17
申请人： International Business Machines Corporation , The Research Foundation of State University of New York
IPC分类号： G06G7/00 , G06N3/00 , G05B19/418
CPC分类号： G05B19/41865 , G05B2219/32027 , G05B2219/32266 , Y02P90/18 , Y02P90/20 , Y02P90/26
摘要： A method for order prioritization includes calculating a cycle time for a product order of a plurality of product orders using an artificial neural network, determining a first order priority of the product order based on a priority index using an analytic hierarchy process, determining a second order priority of the product order based on event based simulation model, and determining a shipping date for the product order based on the second order priority. The artificial neural network calculates the cycle time based upon product order type and a plurality of component counts. The analytic hierarchy process determines a first order priority based upon a plurality of product order attributes. The simulation model determines a second order priority and completion time based upon the first order priority, product model, product type, a plurality of component counts, manufacturing capacity and inventory data, and production time data for historical product orders.
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3.发明授权公开(公告)号：US09910427B2
公开(公告)日：2018-03-06
申请号：US14474483
申请日：2014-09-02
IPC分类号： G06Q10/00 , G05B19/418 , G06Q10/08 , G06Q10/10 , G06F17/00
CPC分类号： G05B19/418 , G06F17/00 , G06Q10/00 , G06Q10/087 , G06Q10/10 , Y02P90/20
摘要： A method, data processing system and computer program product for managing inventory used in a manufacturing operation to manufacture a product. The method includes a processor communicating with at least one database containing manufacturing operation data. Several inventory locations and components are identified within the manufacturing operation data. A current component inventory and space data, historical component usage data and a demand forecast are retrieved. A statistical analysis is performed upon the current component inventory and space data, the historical component usage data and the demand forecast to obtain a target inventory level range for each of the components at each of the inventory locations. An inventory level control chart is generated, based on the statistical analysis, for selected components associated with at least one inventory location.
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公开(公告)号：US20160139592A1
公开(公告)日：2016-05-19
申请号：US14541632
申请日：2014-11-14
IPC分类号： G05B19/418 , G06F17/11
CPC分类号： G05B19/41865 , G05B2219/39167 , Y02P90/20 , Y02P90/28
摘要： Embodiments of the invention relate to statistical and mathematical optimization techniques to predict completion time of parts and subassemblies in one production line. A real-time visibility of products and work-in-process is produced. Optimization techniques are utilized to allow for dynamic modification of a transportation schedule and/or batch size, thereby reducing transportation costs.
摘要翻译： 本发明的实施例涉及用于预测一个生产线中部件和组件的完成时间的统计和数学优化技术。 产生了产品和在制品的实时可视性。 使用优化技术来允许动态修改运输计划和/或批量，从而降低运输成本。
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公开(公告)号：US09880549B2
公开(公告)日：2018-01-30
申请号：US14541632
申请日：2014-11-14
IPC分类号： G06F19/00 , G05B19/418
CPC分类号： G05B19/41865 , G05B2219/39167 , Y02P90/20 , Y02P90/28
摘要： Embodiments of the invention relate to statistical and mathematical optimization techniques to predict completion time of parts and subassemblies in one production line. A real-time visibility of products and work-in-process is produced. Optimization techniques are utilized to allow for dynamic modification of a transportation schedule and/or batch size, thereby reducing transportation costs.
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公开(公告)号：US20170132724A1
公开(公告)日：2017-05-11
申请号：US14934905
申请日：2015-11-06
CPC分类号： G06Q50/04 , G06Q10/063112 , G06Q10/063118 , Y02P90/30
摘要： Technical solutions are described to for assigning a team to resolve a defect during a manufacturing process. The method includes identifying a root cause of a defect from a root cause database by generating a reference code. The method also includes generating a defect score based on characteristics of the defect and the root cause, and identifying a set of solutions for the defect based on the defect score. The method also includes selecting a first solution from the set of solutions to implement and determining a candidate skill for the implementation. The method also includes identifying, from an employee database, a candidate employee that has the candidate skill and assigning the candidate employee to the team to resolve the defect.
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公开(公告)号：US20160210683A1
公开(公告)日：2016-07-21
申请号：US14599860
申请日：2015-01-19
IPC分类号： G06Q30/06
CPC分类号： G06Q30/0635
摘要： Embodiments of the invention relate to inventory and resource sharing for sustaining a build-to-order supply chain. A multi-objective optimization model is formulated to identify an optimal strategy that is adaptive and responsive to customer demand to maintain and meet orders in the supply chain while mitigating demand and supply risks.
摘要翻译： 本发明的实施例涉及用于维持按订单供应链的库存和资源共享。 制定了一个多目标优化模型，以确定适应性和响应客户需求的最佳策略，以维护和满足供应链中的订单，同时减轻需求和供应风险。
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公开(公告)号：US10395323B2
公开(公告)日：2019-08-27
申请号：US14934905
申请日：2015-11-06
摘要： Technical solutions are described to for assigning a team to resolve a defect during a manufacturing process. The method includes identifying a root cause of a defect from a root cause database by generating a reference code. The method also includes generating a defect score based on characteristics of the defect and the root cause, and identifying a set of solutions for the defect based on the defect score. The method also includes selecting a first solution from the set of solutions to implement and determining a candidate skill for the implementation. The method also includes identifying, from an employee database, a candidate employee that has the candidate skill and assigning the candidate employee to the team to resolve the defect.
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公开(公告)号：US20160148132A1
公开(公告)日：2016-05-26
申请号：US14549640
申请日：2014-11-21
IPC分类号： G06Q10/06
CPC分类号： G06Q10/0635 , G06Q10/063116
摘要： Embodiments of the invention relate to an attribute based approach for assessment ergonomic risks, and applying the assessment to reduce the identified ergonomic risks. Ergonomic risks scores are calculated for risk type, operator, and workplace areas. Risks levels are minimized through mitigation strategies and effectiveness and ease of implementation. An operator is assigned or re-allocated to a designated workplace area based on consideration of both workload and ergonomic risk.
摘要翻译： 本发明的实施例涉及用于评估人体工程学风险的基于属性的方法，并且应用评估来减少所识别的人机工程学风险。 根据风险类型，操作人员和工作场所计算人体工程学风险评分。 通过减缓战略和有效性以及易于实施来降低风险水平。 基于工作量和人机工程学风险的考虑，将运营商分配或重新分配给指定的工作场所。
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10.发明申请公开(公告)号：US20150142500A1
公开(公告)日：2015-05-21
申请号：US14081845
申请日：2013-11-15
CPC分类号： G06Q10/06315 , G06Q10/083
摘要： A method for enabling enhanced decision-making when shipping parts between sites within an organization includes receiving a plurality of orders to deliver parts from a first site to a second site. The method determines a shipping option for shipping the parts from the first site to the second site and, for each of the orders, a transportation risk associated with the shipping option. The transportation risk varies in accordance with a probability that the shipping option will result in a delay, and an amount of revenue that will be affected as a result of the delay. The transportation risk for each of the orders is displayed in a matrix. The method further enables a user to modify the shipping option to adjust the position of each transportation risk within the matrix. A corresponding apparatus and computer program product are also disclosed.
摘要翻译： 一种在组织内的站点之间运送零件时能够实现增强的决策的方法包括接收多个订单以将零件从第一站点传送到第二站点。 该方法确定运输选项，用于将零件从第一个站点运送到第二个站点，并且对于每个订单，都会发送与运输选项相关的运输风险。 运输风险根据航运选择将导致延误的可能性和由于延迟而受到影响的收入金额而有所不同。 每个订单的运输风险以矩阵形式显示。 该方法还允许用户修改运输选项以调整矩阵内的每个运输风险的位置。 还公开了相应的装置和计算机程序产品。
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