Patents by Inventor Adeel Najmi
Adeel Najmi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20160217406Abstract: A system and method are disclosed for a self-learning supply chain comprising closed-loop feedback monitoring of compliance, levers effectiveness, key assumptions, early warning sensors, and key performance indicators. Self-learning supply chain enables root cause analysis of supply chain execution failures and problems and provides tools to planners to proactively resolve supply chain disruptions.Type: ApplicationFiled: April 7, 2016Publication date: July 28, 2016Inventor: Adeel Najmi
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Publication number: 20160078385Abstract: In one embodiment, optimizing inventory includes accessing service level band sets. Each service level band set is associated with a policy group, and includes service level bands. Each service level band of a service level band set has a service level priority with respect to any other service level bands of the same service level band set. An inventory band set is determined for each service level band set. Each inventory band set includes inventory bands, where each inventory band satisfies a corresponding service level band assuming an unconstrained network. Each inventory band of an inventory band set has an inventory priority with respect to any other inventory bands of the same inventory band set. A feasible supply chain plan that satisfies the inventory band sets is generated in order of the inventory priorities until a constrained network is depleted.Type: ApplicationFiled: November 25, 2015Publication date: March 17, 2016Inventor: Adeel Najmi
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Patent number: 9208467Abstract: In one embodiment, optimizing inventory includes accessing service level band sets. Each service level band set is associated with a policy group, and includes service level bands. Each service level band of a service level band set has a service level priority with respect to any other service level bands of the same service level band set. An inventory band set is determined for each service level band set. Each inventory band set includes inventory bands, where each inventory band satisfies a corresponding service level band assuming an unconstrained network. Each inventory band of an inventory band set has an inventory priority with respect to any other inventory bands of the same inventory band set. A feasible supply chain plan that satisfies the inventory band sets is generated in order of the inventory priorities until a constrained network is depleted.Type: GrantFiled: April 12, 2010Date of Patent: December 8, 2015Assignee: JDA Software Group, Inc.Inventor: Adeel Najmi
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Publication number: 20150134397Abstract: Determining an inventory target for a node of a supply chain includes calculating a demand stock for satisfying a demand over supply lead time at the node of the supply chain, and calculating a demand variability stock for satisfying a demand variability of the demand over supply lead time at the node. A demand bias of the demand at the node is established. An inventory target for the node is determined based on the demand stock and the demand variability stock in accordance with the demand bias.Type: ApplicationFiled: July 14, 2014Publication date: May 14, 2015Inventors: Koray Dogan, Adeel Najmi, Mehdi Sheikhzadeh, Ramesh Raman
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Patent number: 8781868Abstract: Determining an inventory target for a node of a supply chain includes calculating a demand stock for satisfying a demand over supply lead time at the node of the supply chain, and calculating a demand variability stock for satisfying a demand variability of the demand over supply lead time at the node. A demand bias of the demand at the node is established. An inventory target for the node is determined based on the demand stock and the demand variability stock in accordance with the demand bias.Type: GrantFiled: May 27, 2013Date of Patent: July 15, 2014Assignee: JDA Software Group, Inc.Inventors: Koray Dogan, Adeel Najmi, Mehdi Sheikhzadeh, Ramesh Raman
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Publication number: 20130262177Abstract: Determining an inventory target for a node of a supply chain includes calculating a demand stock for satisfying a demand over supply lead time at the node of the supply chain, and calculating a demand variability stock for satisfying a demand variability of the demand over supply lead time at the node. A demand bias of the demand at the node is established. An inventory target for the node is determined based on the demand stock and the demand variability stock in accordance with the demand bias.Type: ApplicationFiled: May 27, 2013Publication date: October 3, 2013Applicant: JDA Software Group, Inc.Inventors: Koray Dogan, Adeel Najmi, Mehdi Sheikhzadeh, Ramesh Raman
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Patent number: 8452627Abstract: Determining an inventory target for a node of a supply chain includes calculating a demand stock for satisfying a demand over supply lead time at the node of the supply chain, and calculating a demand variability stock for satisfying a demand variability of the demand over supply lead time at the node. A demand bias of the demand at the node is established. An inventory target for the node is determined based on the demand stock and the demand variability stock in accordance with the demand bias.Type: GrantFiled: June 18, 2011Date of Patent: May 28, 2013Assignee: JDA Software Group, Inc.Inventors: Koray Dogan, Adeel Najmi, Mehdi Sheikhzadeh, Ramesh Raman
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Patent number: 8428987Abstract: A system and method is disclosed for estimating demand of a supply chain including accessing a probability distribution of order lead time of the supply chain. The supply chain has nodes including a starting node and an ending node and a path from the starting node to the ending node. The probability distribution of order lead time describes ending node demand of the ending node versus order lead time. The path is divided into order lead time segments which are associated with the probability distribution of order lead time by associating each order lead time segment with an order lead time range of the probability distribution of order lead time. A demand percentage is estimated for each order lead time segment in accordance with the probability distribution of order lead time, such that each demand percentage describes a percentage of a total ending node demand of an order lead time segment.Type: GrantFiled: May 9, 2011Date of Patent: April 23, 2013Assignee: JDA Software Group, Inc.Inventors: Adeel Najmi, Aseem Kohli, Dharmaraj Veerappanaicker
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Publication number: 20120158457Abstract: Determining an inventory target for a node of a supply chain includes calculating a demand stock for satisfying a demand over supply lead time at the node of the supply chain, and calculating a demand variability stock for satisfying a demand variability of the demand over supply lead time at the node. A demand bias of the demand at the node is established. An inventory target for the node is determined based on the demand stock and the demand variability stock in accordance with the demand bias.Type: ApplicationFiled: June 18, 2011Publication date: June 21, 2012Inventors: Koray Dogan, Adeel Najmi, Mehdi Sheikhzadeh, Ramesh Raman
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Publication number: 20110208560Abstract: A system and method is disclosed for estimating demand of a supply chain including accessing a probability distribution of order lead time of the supply chain. The supply chain has nodes including a starting node and an ending node and a path from the starting node to the ending node. The probability distribution of order lead time describes ending node demand of the ending node versus order lead time. The path is divided into order lead time segments which are associated with the probability distribution of order lead time by associating each order lead time segment with an order lead time range of the probability distribution of order lead time. A demand percentage is estimated for each order lead time segment in accordance with the probability distribution of order lead time, such that each demand percentage describes a percentage of a total ending node demand of an order lead time segment.Type: ApplicationFiled: May 9, 2011Publication date: August 25, 2011Inventors: Adeel Najmi, Aseem Kohli, Dharmaraj Veerappanaicker
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Patent number: 7966211Abstract: Determining an inventory target for a node of a supply chain includes calculating a demand stock for satisfying a demand over supply lead time at the node of the supply chain, and calculating a demand variability stock for satisfying a demand variability of the demand over supply lead time at the node. A demand bias of the demand at the node is established. An inventory target for the node is determined based on the demand stock and the demand variability stock in accordance with the demand bias.Type: GrantFiled: April 29, 2004Date of Patent: June 21, 2011Assignee: i2 Technologies US, Inc.Inventors: Koray Dogan, Adeel Najmi, Mehdi Sheikhzadeh, Ramesh Raman
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Patent number: 7941331Abstract: In one embodiment, determining order lead time for a supply chain includes generating probability distribution for expected order lead time options, where each probability distribution for expected order lead time option is associated with a category. A category that corresponds to a supply chain is identified. The supply chain has nodes, including a starting node and an ending node that supplies a customer, and designates a path from the starting node to the ending node. A probability distribution for expected order lead time option associated with the identified category is selected as a probability distribution for expected order lead time for the supply chain. The probability distribution for expected order lead time describes ending node demand for the ending node versus order lead time.Type: GrantFiled: April 29, 2004Date of Patent: May 10, 2011Assignee: i2 Technologies US, Inc.Inventors: Koray Dogan, Adeel Najmi, Ramesh Raman
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Patent number: 7853462Abstract: Optimizing inventory targets for nodes of a supply chain to satisfy a target customer service level may include accessing a supply chain model that has an assumed value for each of a number of inputs. An optimized inventory target is calculated according to the supply chain model to satisfy the target customer service level, and a measured actual customer service level and a measured actual value for each input are accessed. If the measured actual customer service level fails to satisfy the target customer service level, deviations between the measured actual and assumed values for each input are determined. An input for which the deviation is significant is identified to be a root cause of the failure. For a subsequent time period, using the deviation for the identified input as feedback, the assumed value for the identified input is adjusted, and a reoptimized inventory target is calculated to satisfy the target customer service level.Type: GrantFiled: April 29, 2004Date of Patent: December 14, 2010Assignee: i2 Technologies US, Inc.Inventors: Koray Dogan, Adeel Najmi, Ramesh Raman
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Patent number: 7827049Abstract: In one embodiment, estimating demand for a supply chain includes accessing a probability distribution for expected order lead time of the supply chain. The supply chain has nodes including a starting node and an ending node and a path from the starting node to the ending node. The probability distribution for expected order lead time describes ending node demand for the ending node versus order lead time. The path is divided into order lead time segments, and the order lead time segments are associated with the probability distribution for expected order lead time by associating each order lead home segment with a corresponding order lead time range of the probability distribution for expected order lead time. A demand percentage is estimated for each order lead time segment in accordance with the probability distribution for expected order lead time in order to estimate demand for the supply chain.Type: GrantFiled: April 29, 2004Date of Patent: November 2, 2010Assignee: i2 Technologies US, Inc.Inventors: Koray Dogan, Adeel Najmi, Ramesh Raman
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Publication number: 20100262520Abstract: In one embodiment, optimizing inventory includes accessing service level band sets. Each service level band set is associated with a policy group, and includes service level bands. Each service level band of a service level band set has a service level priority with respect to any other service level bands of the same service level band set. An inventory band set is determined for each service level band set. Each inventory band set includes inventory bands, where each inventory band satisfies a corresponding service level band assuming an unconstrained network. Each inventory band of an inventory band set has an inventory priority with respect to any other inventory bands of the same inventory band set. A feasible supply chain plan that satisfies the inventory band sets is generated in order of the inventory priorities until a constrained network is depleted.Type: ApplicationFiled: April 12, 2010Publication date: October 14, 2010Inventor: Adeel Najmi
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Patent number: 7788119Abstract: In one embodiment, optimizing inventory for a supply chain includes generating an inventory plan for the supply chains. Execution of a supply chain plan associated with the inventory plan is initiated at the supply chain. The supply chain is monitored to generate metric values. A watchpoint triggered by a metric value is detected, and a cause of the triggered watchpoint is identified using a causal tree. The inventory plan is adjusted in response to the detected triggered watchpoint and in accordance with the identified cause, and the supply chain plan is adjusted in accordance with the adjusted inventory plan. Execution of the adjusted supply chain plan is initiated, and new metric values are measured to determine performance. The performance is evaluated, and the causal tree is updated in response to the evaluation.Type: GrantFiled: May 7, 2004Date of Patent: August 31, 2010Assignee: i2 Technologies US, Inc.Inventors: Adeel Najmi, Vasudev Rangadass, Ramesh Raman
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Patent number: 7761903Abstract: Determining a policy parameter for an entity of a supply chain includes establishing attributes of the entities of the supply chain. Attribute segments are established for each attribute, where an attribute segment includes one or more values of the corresponding attribute. Rules are formulated using the attribute segments to define policy groups, and policy parameters are assigned to each policy group. A policy group corresponding to an entity is identified in accordance with the rules. The policy parameters assigned to the identified policy group are determined and selected for the entity.Type: GrantFiled: March 13, 2009Date of Patent: July 20, 2010Assignee: i2 Technologies US, Inc.Inventors: Koray Dogan, Adeel Najmi, Ramesh Raman, Praveen Upadhyay
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Patent number: 7721959Abstract: In one embodiment, optimizing inventory includes accessing service level band sets. Each service level band set is associated with a policy group, and includes service level bands. Each service level band of a service level band set has a service level priority with respect to any other service level bands of the same service level band set. An inventory band set is determined for each service level band set. Each inventory band set includes inventory bands, where each inventory band satisfies a corresponding service level band assuming an unconstrained network. Each inventory band of an inventory band set has an inventory priority with respect to any other inventory bands of the same inventory band set. A feasible supply chain plan that satisfies the inventory band sets is generated in order of the inventory priorities until a constrained network is depleted.Type: GrantFiled: July 19, 2004Date of Patent: May 25, 2010Assignee: i2 Technologies US, Inc.Inventor: Adeel Najmi
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Publication number: 20100125489Abstract: A system and method is disclosed for root cause analysis and early warning of inventory problems. The system includes a server coupled with a database and configured to access the data describing inventory policy parameters of a supply chain network, the data describing one or more demand patterns and one or more replenishment patterns of the supply chain network, and the data describing the supply chain network comprising a plurality of entities, each entity configured to supply one or more items to satisfy a demand. The server is further configured to optimize the inventory policy parameters for each of the one or more items according to the one or more demand patterns and the one or more replenishment patterns and store the optimized inventory policy parameters in the database for each of the one or more items.Type: ApplicationFiled: November 17, 2009Publication date: May 20, 2010Inventors: Shipra Surendra, Manish Ghosh, Adeel Najmi, Arindam Banerjee, Krishna Pal Singh
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Patent number: 7711597Abstract: In one embodiment, optimizing inventory includes accessing service level band sets. Each service level band set is associated with a policy group, and includes service level bands. Each service level band of a service level band set has a service level priority with respect to any other service level bands of the same service level band set. An inventory band set is determined for each service level band set. Each inventory band set includes inventory bands, where each inventory band satisfies a corresponding service level band assuming an unconstrained network. Each inventory band of an inventory band set has an inventory priority with respect to any other inventory bands of the same inventory band set. A feasible supply chain plan that satisfies the inventory band sets is generated in order of the inventory priorities until a constrained network is depleted.Type: GrantFiled: March 30, 2009Date of Patent: May 4, 2010Assignee: i2 Technologies US, Inc.Inventor: Adeel Najmi