Abstract: Configurable product return determination includes maintaining product profiles indicating updated configurations of products and their components, building and training a set of models configured to identify products that are expected returns, predict retention times for such products, and determine, based on quality indicators of the products and on requirements for reusability of components, reusable components of the products, and, using the set of models and a product profile of a product in use, determining that the product in use is expected to be returned in the future and an expected timeframe of the return of the product in use, and determining one or more components, of a set of components of the product in use, that are reusable upon return of the product in the future.

Abstract: Provided is a computer-implemented method, system, and computer program product for transforming return content to new content using artificial intelligence. A processor may collect identification data associated with a returned configurable product. The processor may analyze the identification data to determine attributes associated with each component of the returned configurable product. The processor may generate, based on the analyzing, a components list comprising reusable components from the returned configurable product. The processor may analyze the components list to identify similarities between the attributes of each reusable component and attributes of a plurality of current components. The processor may generate, based on the identified similarities, a component matrix, wherein at least one reusable component is grouped with at least one current component.

Abstract: A component testing plan considers both distinguishable components and undistinguishable components for each of the distinguishable components. In addition to distinguishable and undistinguishable components, inputs to the system include a level of customer demand, using component-based demand forecasting, and what test types are to be performed. The system then determines a set of combinatorial test options for each of the test types and a cycle time for each combinatorial test option. The system then cognitively develops a component testing plan including a listing of combinatorial test(s) of the set of combinatorial test options for each test type to be performed and how many times to perform each combinatorial test(s) on a testing machine with a known capacity in order to minimize a total cycle time for all of the test types and a number of the testing machine needed; and implementing the component testing plan on a set of test components on a production line.

Abstract: The embodiments relate to dynamic server drawer build plan management. Output data associated with a data source is received. A drawer build plan list and one or more inventory scenarios are generated based on the received data. At least one build plan is chosen from the build plan list, and one or more drawer design configurations are compared to at least one inventory scenario to produce a set of eligible drawer design configurations. A drawer design configuration is selected from the set for one or more respective drawer build plans based on one or more constraints. A connection is established to a computer, and information associated with each selected drawer design configuration is transmitted to the second computer.

Abstract: The embodiments relate to dynamic server drawer build plan management. Output data associated with a data source is received. A drawer build plan list and one or more inventory scenarios are generated based on the received data. At least one build plan is chosen from the build plan list, and one or more drawer design configurations are compared to at least one inventory scenario to produce a set of eligible drawer design configurations. A drawer design configuration is selected from the set for one or more respective drawer build plans based on one or more constraints. A connection is established to a computer, and information associated with each selected drawer design configuration is transmitted to the second computer.

Abstract: Disclosed is a computer-implemented method of employee/resource allocation across an enterprise. The method includes receiving, by a data processing system, a workload matrix, the workload matrix including job types and a level of demand for each job type; receiving, by the data processing system, an employee matrix, wherein the employee matrix comprises a plurality of employees and a plurality of characteristics associated with each of the plurality of employees; generating, by the data processing system, a skills matrix for the enterprise based on the plurality of characteristics associated with each of the plurality of employees; cognitively generating, by the data processing system, an optimization model; responsive to performing an iteration of the optimization model, assigning, by the data processing system, the plurality of employees to the plurality of job types based on the iteration, resulting in a report; and implementing the report in the enterprise.

Abstract: A component testing plan considers both distinguishable components and undistinguishable components for each of the distinguishable components. In addition to distinguishable and undistinguishable components, inputs to the system include a level of customer demand, using component-based demand forecasting, and what test types are to be performed. The system then determines a set of combinatorial test options for each of the test types and a cycle time for each combinatorial test option. The system then cognitively develops a component testing plan including a listing of combinatorial test(s) of the set of combinatorial test options for each test type to be performed and how many times to perform each combinatorial test(s) on a testing machine with a known capacity in order to minimize a total cycle time for all of the test types and a number of the testing machine needed; and implementing the component testing plan on a set of test components on a production line.

Abstract: The embodiments relate to dynamic server drawer build plan management. Output data associated with a data source is received. A drawer build plan list and one or more inventory scenarios are generated based on the received data. At least one build plan is chosen from the build plan list, and one or more drawer design configurations are compared to at least one inventory scenario to produce a set of eligible drawer design configurations. A drawer design configuration is selected from the set for one or more respective drawer build plans based on one or more constraints. A connection is established to a computer, and information associated with each selected drawer design configuration is transmitted to the second computer.

Abstract: 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.

Abstract: The embodiments relate to dynamic server drawer build plan management. Output data associated with a data source is received. A drawer build plan list and one or more inventory scenarios are generated based on the received data. At least one build plan is chosen from the build plan list, and one or more drawer design configurations are compared to at least one inventory scenario to produce a set of eligible drawer design configurations. A drawer design configuration is selected from the set for one or more respective drawer build plans based on one or more constraints. A connection is established to a computer, and information associated with each selected drawer design configuration is transmitted to the second computer.

Abstract: A set of channel inputs corresponding to an order is received. A subset of the set is transformed, using a transformation rule, into a set of strategic transformed inputs. A total impact value and an integrated risk likelihood value corresponding to the order are computed. The integrated risk likelihood value and the total impact value of the order are output, to a shipping system, relative to a second integrated risk likelihood value and a second total impact value of a second completed order from a second channel, as a comparison of a first risk associated with the completed order relative to a second risk associated with the second completed order at a shipping dock. The shipping dock is shared by the order processing channel and the second order processing channel. When the first risk being higher than the second risk, the order is selected for shipping using the shipping system.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.