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1. 发明申请

US20040098155A1 Collaborative batch aggregation and scheduling in a manufacturing environment 有权
公开(公告)号：US20040098155A1
公开(公告)日：2004-05-20
申请号：US10704080
申请日：2003-11-06
申请人： i2 Technologies US, Inc., a Delaware corporation
发明人： Joachim Paul Walser , David E. Joslin , Craig W. Schmidt
IPC分类号： G06F019/00
CPC分类号： G06F9/4887 , G06Q10/04
摘要： In one aspect, a computer-implemented method is provided for aggregating and scheduling product batches in a manufacturing environment. Using a batch aggregation engine implementing a mathematical programming strategy, one or more product demands are allocated to one or more product batches having suggested sizes and suggested starting times. The mathematical programming strategy includes evaluating a number of time-based penalties relative to one another in allocating the demands to the batches, the time-based penalties being based on relationships between suggested starting times for batches and times of demands being considered for allocation to batches. The suggested sizes, the suggested starting times, and feedback relating to the suggested sizes and suggested starting times are communicated from the batch aggregation engine to a scheduling engine to assist the scheduling engine in scheduling starting times for the batches.

2. 发明申请

US20040133572A1 Parametric searching 审中-公开
标题翻译：参数搜索
公开(公告)号：US20040133572A1
公开(公告)日：2004-07-08
申请号：US10741865
申请日：2003-12-19
申请人： i2 Technologies US, Inc., a Delaware corporation
发明人： Steven C. Bailey , Stephen W. Blessin
IPC分类号： G06F007/00
CPC分类号： G06F16/2428 , G06F16/284
摘要： Ordering items often involves first searching a catalogue or the like for the proper item. If not done accurately, or if not done in a time efficient manner, unacceptable loss can occur because the wrong item is ordered or all orders cannot be placed when needed. A parametric searching tool represented in various embodiments makes searching very effective. Searching is based upon user selection of specific attributes for attribute characteristics available for the user to view for determining search parameters. By being able to utilize parameters, which are already available in a database, the user does not require significant training to know how to construct a search nor particular knowledge of the attribute characteristics or specific attributes of all the various suppliers from which orders can be made.
摘要翻译：订购物品通常包括首先搜索目录等以获得适当的物品。如果没有准确地完成，或者如果没有以有效的方式完成，则可能会发生不可接受的损失，因为错误的项目被命令或所有订单在需要时无法放置。在各种实施例中表示的参数搜索工具使搜索非常有效。搜索基于用户选择可用于用户查看以确定搜索参数的属性特征的特定属性。通过能够利用数据库中已经可用的参数，用户不需要大量的培训来了解如何构建搜索，也不需要特定知识可以从中进行订单的所有各种供应商的属性特征或特定属性。

3. 发明申请

US20040133504A1 System, method, and software for multi-party constrained optimization 审中-公开
标题翻译：多方约束优化的系统，方法和软件
公开(公告)号：US20040133504A1
公开(公告)日：2004-07-08
申请号：US10739979
申请日：2003-12-17
申请人： i2 Technologies US, Inc., a Delaware corporation
发明人： Mukesh Dalal
IPC分类号： G06F017/60
CPC分类号： G06Q10/04 , G06Q10/06 , G06Q40/04
摘要： According to one embodiment, a computer-implemented method for multi-party constrained optimization is provided. The method includes accessing a first optimization problem corresponding to a first party to a negotiation, the first optimization problem including at least one first objective and one or more first constraints to which the first objective relates, and accessing a second optimization problem corresponding to a second party to the negotiation, the second optimization problem including at least one second objective and one or more second constraints to which the second objective relates. A first optimal value is determined for the at least one first objective considering the one or more first constraints for the first optimization problem, and a second optimal value is determined for the at least one second objective considering the one or more second constraints for the second optimization problem. A global solution to a global optimization problem is generated such that the global solution is consistent with the at least one first objective, the one or more first constraints, the at least one second objective, and the one or more second constraints. The global solution: (1) includes an option for resolving the computer-implemented multi-party negotiation; (2) represents a first excess between the global solution and the first optimal value and a second excess between the global solution and the second optimal value; and (3) is generated considering a fairness criterion specifying that the first excess is to minimally deviate from the first optimal value and that the second excess is to minimally deviate from the second optimal value considering the one or more first constraints and the one or more second constraints.
摘要翻译：根据一个实施例，提供了一种用于多方约束优化的计算机实现的方法。该方法包括访问与协商的第一方相对应的第一优化问题，所述第一优化问题包括第一目标所关联的至少一个第一目标和一个或多个第一约束，以及访问对应于第二目标的第二优化问题所述第二优化问题包括所述第二目标所关联的至少一个第二目标和一个或多个第二约束。考虑到用于第一优化问题的一个或多个第一约束，针对所述至少一个第一目标确定第一最优值，并且针对所述至少一个第二目标确定第二最优值，考虑到第二个目标的一个或多个第二约束优化问题。生成全局优化问题的全局解决方案，使得全球解决方案与至少一个第一目标，一个或多个第一约束，至少一个第二目标和一个或多个第二约束一致。全球解决方案：（1）包括解决计算机实施的多方谈判的选项; （2）表示全局解和第一最优值之间的第一过剩和全局解与第二最优值之间的第二过剩; 和（3）是考虑到公平标准产生的，该公平准则指定第一过剩最小化偏离第一最优值，并且考虑到一个或多个第一约束和第二最优值，第二过剩最小偏离第二最优值第二个约束。

4. 发明申请

US20030167098A1 COLLABORATIVELY SOLVING AN OPTIMIZATION PROBLEM USING FIRST AND SECOND OPTIMIZATION SOFTWARE EACH HAVING AT LEAST PARTIAL INFORMATION CONCERNING THE OPTIMIZATION PROBLEM 有权
标题翻译：使用第一和第二优化软件协同解决优化问题，具有关于优化问题的最小部分信息
公开(公告)号：US20030167098A1
公开(公告)日：2003-09-04
申请号：US10393793
申请日：2003-03-20
申请人： i2 Technologies US, Inc., a Delaware Corporation
发明人： Joachim Paul Walser , David E. Joslin , Craig W. Schmidt
IPC分类号： G06F019/00
CPC分类号： G06F9/4887 , G06Q10/04
摘要： In one embodiment, a method is provided for collaboratively solving an optimization problem using at least first optimization software and second optimization software each having at least partial information concerning the optimization problem. The method includes: (1) determining a solution to a first sub-problem of the optimization problem using the first optimization software based on the at least partial information concerning the optimization problem known to the first optimization software; (2) communicating from the first optimization software to the second optimization software the solution to the first sub-problem and information concerning one or more penalties for deviating from the solution to the first sub-problem; and (3) determining a solution to a second sub-problem of the optimization problem using the second optimization software based on the at least partial information concerning the optimization problem known to the second optimization software, the communicated solution to the first sub-problem, and the communicated information concerning one or more penalties for deviating from the solution to the first sub-problem.
摘要翻译：在一个实施例中，提供了一种用于使用至少第一优化软件和第二优化软件协同解决优化问题的方法，每个优化软件具有至少部分关于优化问题的信息。该方法包括：（1）基于关于第一优化软件已知的优化问题的至少部分信息，使用第一优化软件确定优化问题的第一子问题的解; （2）从第一优化软件到第二优化软件对第一子问题的解决以及关于从解决方案偏离到第一子问题的一个或多个惩罚的信息; 以及（3）基于关于所述第二优化软件已知的优化问题的所述至少部分信息，所述第一子问题的通信解决方案，使用所述第二优化软件来确定所述优化问题的第二子问题的解，以及关于从解决方案偏离到第一子问题的一个或多个处罚的传达的信息。

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