Amol B. Adgaonkar - Arlington TX, US Deepak Rammohan - Irving TX, US Pradip Som - Corinth TX, US Thomas Burkhardt - Dallas TX, US
Assignee:
i2 Technologies US, Inc. - Dallas TX
International Classification:
G05B 19/418
US Classification:
705 8
Abstract:
In one embodiment, a method is provided for planning repairs in response to demand in a multi-level repair network of locations at which parts may be repaired. Modeled for a location are: (1) an unserviceable buffer for parts inspected at the location and repairable at the location, and (2) a serviceable buffer for parts inspected at the location and serviceable without repair. A forecasted demand, for a quantity of serviceable parts at a future time at the location, is accessed. In a push planning phase, for each inspected part in the unserviceable buffer, the earliest time at which repair can begin for the part at the location is estimated. In a pull planning phase, if the forecasted demand cannot be satisfied using parts in the serviceable buffer: (1) a quantity of parts in the unserviceable buffer repairable at the location and available to help satisfy the forecasted demand is estimated; (2) the latest time at which repair can begin with respect to these parts at the location to help satisfy the forecasted demand is estimated; and (3) repair for these parts is planned at the estimated latest time to pull these parts from the unserviceable buffer, from which they cannot be put to service to help satisfy the forecasted demand, into the serviceable buffer, from which they can be put to service to help satisfy the forecasted demand.
Pull Planning For Unserviceable Parts In Connection With On-Demand Repair Planning
Amol B. Adgaonkar - Arlington TX, US Deepak Rammohan - Philadelphia PA, US Thomas Burkhardt - Dallas TX, US Nikhil T. Jain - Flower Mound TX, US
Assignee:
i2 Technologies US, Inc. - Dallas TX
International Classification:
G05B 19/418 G06F 9/46
US Classification:
705 8
Abstract:
In one embodiment, planning repairs in response to demand in a multi-level repair network includes accessing a forecasted demand for serviceable parts at a repair location and, for each inspected unserviceable part at the location that is not repairable at the location: (1) planning a move of the part to an upstream repair location such that the part can be available for repair at the upstream location at an estimated earliest time; (2) estimating a latest time at which a repair of the part can begin at the upstream location to help satisfy the forecasted demand, according to the forecasted demand and the estimated earliest time, and planning a repair at the upstream location at the estimated latest time; and (3) re-planning the move, according to the start time of the repair, by modifying a move delivery time according to a repair start time and modifying a move start time according to the modified delivery time. The re-planned move start time is an estimated latest time at which the part can be moved to the upstream location for repair to help satisfy the forecasted demand.
Pull Planning For Unserviceable Parts In Connection With On-Demand Repair Planning
Amol B. Adgaonkar - Arlington TX, US Deepak Rammohan - Philadelphia PA, US Thomas Burkhardt - Dallas TX, US Nikhil T. Jain - Flower Mound TX, US
Assignee:
i2 Technologies US, Inc. - Dallas TX
International Classification:
G05B 19/418 G06F 9/46
US Classification:
705 8
Abstract:
In one embodiment, planning repairs in response to demand in a multi-level repair network includes accessing a forecasted demand for serviceable parts at a repair location and, for each inspected unserviceable part at the location that is not repairable at the location: (1) planning a move of the part to an upstream repair location such that the part can be available for repair at the upstream location at an estimated earliest time; (2) estimating a latest time at which a repair of the part can begin at the upstream location to help satisfy the forecasted demand, according to the forecasted demand and the estimated earliest time, and planning a repair at the upstream location at the estimated latest time; and (3) re-planning the move, according to the start time of the repair, by modifying a move delivery time according to a repair start time and modifying a move start time according to the modified delivery time. The re-planned move start time is an estimated latest time at which the part can be moved to the upstream location for repair to help satisfy the forecasted demand.
Planning A Supply Of Items To A First Location Associated With A Supply Chain From One Or More Second Locations Associated With The Supply Chain
Vasudevan Narayanan - Dallas TX, US Mohit Mohan - Irving TX, US Nikhil T. Jain - Flower Mound TX, US Amol B. Adgaonkar - Arlington TX, US
Assignee:
JDA Software Group, Inc. - Scottsdale AZ
International Classification:
G06Q 10/00 G06G 1/14 G06Q 30/00
US Classification:
705 28, 705 22, 705 262
Abstract:
One embodiment includes a computer-implemented system for planning a supply of items to a first location associated with a supply chain from one or more second locations associated with the supply chain. The system accesses a logical representation of the supply chain and identifies one or more controlling locations and one or more staging locations in the supply chain. The system selects one or more of the identified locations according to a set of rules for selecting one or more of the identified controlling locations and identified staging locations for supplying items to the first location from one or more of the second locations and generates a plan for supplying items to the first location from one or more of the second locations according to the selection of one or more of the identified locations.
Pull Planning For Serviceable Parts To Facilitate On-Demand Repair Planning
Amol B. Adgaonkar - Arlington TX, US Deepak Rammohan - Irving TX, US Pradip Som - Corinth TX, US Thomas Burkhardt - Dallas TX, US
Assignee:
JDA Software Group, Inc. - Scottsdale AZ
International Classification:
G06Q 10/00
US Classification:
705 731
Abstract:
In an embodiment, a method for on-demand repair planning includes modeling for a repair location: a good parts buffer; a first buffer for unserviceable parts determined to be serviceable without repair; and a second buffer for unserviceable parts determined to be repairable. A forecasted demand, for a specified quantity of serviceable parts, is accessed. Parts available in the first buffer to help satisfy the forecasted demand is estimated. If a part is available, an operation plan is generated for a use-as-is operation. If the forecasted demand is not fully satisfied, a quantity of parts available in the second buffer to help satisfy the forecasted demand is estimated and, if one or more parts are available: the latest time at which a repair operation can begin is estimated; a repair order is planned; and an operation plan is generated for the repair operation.
Incorporating A Repair Vendor Into Repair Planning For A Supply Chain
One embodiment includes a computer-implemented system for incorporating a repair vendor into repair planning for a supply chain. The system accesses a logical representation of the supply chain and identify one or more controlling locations and one or more staging locations in the supply chain. The system accesses information indicating a replenishment requirement at a particular identified controlling location resulting from safety stock at the particular identified controlling location dropping below a predetermined threshold. In response to the information indicating the replenishment requirement at the particular identified controlling location, the system identifies every primary network in the supply chain connecting the particular identified controlling location to one or more identified staging locations. The system selects one or more of the particular identified controlling location and one or more identified staging locations each connected to the particular identified controlling location by a primary network and generates one or more repair orders.
Incorporating A Repair Vendor Into Repair Planning For Supply Chain
Vasudevan Narayanan - Dallas TX, US Mohit Mohan - Irving TX, US Nikhil T. Jain - Flower Mound TX, US Amol B. Adgaonkar - Arlington TX, US
Assignee:
JDA Software Group, Inc. - Scottsdale AZ
International Classification:
G06Q 10/00 G06G 1/14 G06Q 20/00
US Classification:
705 28, 705 22
Abstract:
One embodiment includes a computer-implemented system for incorporating a repair vendor into repair planning for a supply chain. The system accesses a logical representation of the supply chain, access an inventory plan for the supply chain, and generates a replenishment plan for meeting the inventory plan for the supply chain that includes suggested repair orders. Unserviceable parts in the supply chain are moved from the supply chain to the repair vendor, repaired at the repair vendor, and moved from the repair vendor back to the supply chain to meet the requirements for serviceable parts at the locations in the supply chain according to the suggested repair orders.
Incorporating A Repair Vendor Into Repair Planning For A Supply Chain
Mohit Mohan - Irving TX, US Nikhil T. Jain - Flower Mound TX, US Amol B. Adgaonkar - Arlington TX, US
Assignee:
JDA Software Group, Inc - Scottsdsle CA
International Classification:
G06Q 10/06
US Classification:
705 725
Abstract:
One embodiment includes a computer-implemented system for incorporating a repair vendor into repair planning for a supply chain. The system accesses a logical representation of the supply chain, access an inventory plan for the supply chain, and generates a replenishment plan for meeting the inventory plan for the supply chain that includes suggested repair orders. Unserviceable parts in the supply chain are moved from the supply chain to the repair vendor, repaired at the repair vendor, and moved from the repair vendor back to the supply chain to meet the requirements for serviceable parts at the locations in the supply chain according to the suggested repair orders.
Microsoft
Director, Manufacturing Industry
Microsoft Feb 2014 - Dec 2016
Senior Program Manager - Windows Azure Supply Chain
Ptc Jan 2013 - Feb 2014
Fellow Consultant
Servigistics 2005 - Dec 2012
Senior Business Architect
Volkswagen Ag 2010 - 2011
Business Architect
Education:
University at Buffalo 1997 - 1999
Master of Science, Masters, Industrial Engineering
Department of Technology, Savitribai Phule Pune University 1992 - 1996
Bachelor of Engineering, Bachelors, Mechanical Engineering
Skills:
Product Management Supply Chain Management Software Project Management Strategy Consulting Enterprise Software Program Management Requirements Analysis Supply Chain Business Analysis Business Process Business Intelligence Solution Architecture Professional Services Pre Sales Project Management Project Planning Management Consulting Business Case Master Data Management Software Consulting Automotive Aftermarket Supply Chain Consulting
Languages:
Hindi
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