摘要:
A method and system for identifying and quantifying a risk is disclosed. In one embodiment, the method comprises forming a two-dimensional risk matrix, wherein a first dimension of the matrix comprises risk variable categories and a second dimension comprises standard business processes, placing a risk variable onto the two-dimensional risk matrix, wherein the risk variable is categorized by one of the risk variable categories and one of the standard business processes, connecting the variable node with another risk variable in the two-dimensional risk matrix, and applying a learning method to the two-dimensional risk matrix to compose a risk model to use for quantifying the risk. The system comprises a processor operable to perform the steps embodied by the method.
摘要:
The adaptive product conditioning is a computer-implemented method for identifying product configurations that can be provided to customers in reaction to supply imbalances. The methodology uses data mining techniques to collect and analyze business level meta data to coordinate supply and sales goals in terms of optimizing profits or managing product and technology transitions.
摘要:
The adaptive product conditioning is a computer-implemented method for identifying product configurations that can be provided to customers in reaction to supply imbalances. The methodology uses data mining techniques to collect and analyze business level meta data to coordinate supply and sales goals in terms of optimizing profits or managing product and technology transitions.
摘要:
The adaptive product conditioning is a computer-implemented method for identifying product configurations that can be provided to customers in reaction to supply imbalances. The methodology uses data mining techniques to collect and analyze business level meta data to coordinate supply and sales goals in terms of optimizing profits or managing product and technology transitions.
摘要:
The adaptive product conditioning is a computer-implemented method for identifying product configurations that can be provided to customers in reaction to supply imbalances. The methodology uses data mining techniques to collect and analyze business level meta data to coordinate supply and sales goals in terms of optimizing profits or managing product and technology transitions.
摘要:
The adaptive product conditioning is a computer-implemented method for identifying product configurations that can be provided to customers in reaction to supply imbalances. The methodology uses data mining techniques to collect and analyze business level meta data to coordinate supply and sales goals in terms of optimizing profits or managing product and technology transitions.
摘要:
A manufacturing process is migrated from an existing operation to a configure-to-order (CTO) system. As the CTO operation will eliminate the “machine-type model” (MTM) inventory of the existing operation, the emphasis is shifted to the components, or “building blocks”, which will still follow the build-to-stock scheme, due to their long leadtimes, and hence still require inventory. The solution involves an inventory-service trade-off of the new CTO system, resulting in performance gains, in terms of reduced inventory cost and increased service level. Other benefits include better forecast accuracy through parts commonality and risk-pooling, and increased customer demand, as orders will no longer be confined within a restricted set of pre-configured MTMs.
摘要:
A manufacturing process is migrated from an existing operation to a configure-to-order (CTO) system. As the CTO operation will eliminate the “machine-type model” (MTM) inventory of the existing operation, the emphasis is shifted to the components, or “building blocks”, which will still follow the build-to-stock scheme, due to their long leadtimes, and hence still require inventory. The solution involves an inventory-service trade-off of the new CTO system, resulting in performance gains, in terms of reduced inventory cost and increased service level. Other benefits include better forecast accuracy through parts commonality and risk-pooling, and increased customer demand, as orders will no longer be confined within a restricted set of pre-configured MTMs.
摘要:
A manufacturing process is migrated from an existing operation to a configure-to-order (CTO) system. As the CTO operation will eliminate the “machine-type model” (MTM) inventory of the existing operation, the emphasis is shifted to the components, or “building blocks”, which will still follow the build-to-stock scheme, due to their long leadtimes, and hence still require inventory. The solution involves an inventory-service trade-off of the new CTO system, resulting in performance gains, in terms of reduced inventory cost and increased service level. Other benefits of the method include better forecast accuracy through parts commonality and risk-pooling, and increased customer demand, as orders will no longer be confined within a restricted set of pre-configured MTMs.
摘要:
A manufacturing process is migrated from an existing operation to a configure-to-order (CTO) system. As the CTO operation will eliminate the “machine-type model” (MTM) inventory of the existing operation, the emphasis is shifted to the components, or “building blocks”, which will still follow the build-to-stock scheme, due to their long leadtimes, and hence still require inventory. The solution involves an inventory-service trade-off of the new CTO system, resulting in performance gains, in terms of reduced inventory cost and increased service level. Other benefits include better forecast accuracy through parts commonality and risk-pooling, and increased customer demand, as orders will no longer be confined within a restricted set of pre-configured MTMs.