Stefan Foerster - Hockenheim, DE Michael Wilking - Sinsheim, DE Michael Czach - Canton MI, US Gary Vasi - Troy MI, US
International Classification:
G05B 19/418
US Classification:
705008000
Abstract:
Systems and methods for distributed resource management are provided. The systems and methods may simulate a plurality of supply schedules for a family of parts, compare the plurality of supply schedules, and store a supply schedule selected from the plurality of supply schedules. Each supply schedule may be respectively associated with a period of time reflecting a desired supply level for the parts.
Methods And Systems For Managing Inventory By Optimizing Order Quantity And Safety Stock
Michael Goll - Heidelberg, DE Kai Mueller - Heidelberg, DE Scott Taylor - Peoria IL, US Carole Kamp - Tremont IL, US Stephen Forret - Morton IL, US Gary Vasi - Troy MI, US
International Classification:
G06E 1/00
US Classification:
705028000, 700026000
Abstract:
Methods and systems consistent with the present invention facilitate inventory management by determining an order quantity and a safety stock based on the order quantity that provide a minimum total cost, while satisfying a service level over an entire demand period for a good or service. In one embodiment, a method includes determining a first order quantity, determining a search direction, and determining a second order quantity and a safety stock based on the first order quantity and the search direction, such that the second order quantity and the safety stock provide a minimum total cost.
Sheng Li - Palo Alto CA, US Hans Schierholt - Montreal, CA Olaf Dudat - Heidelberg, DE Ralf Heimburger - St. Leon-Rot, DE Carole Kamp - Tremont IL, US Thomas Kley - Ann Arbor MI, US Gary Vasi - Troy MI, US Hans Schmitz - Buskirchen, DE
International Classification:
G06F 17/30
US Classification:
705010000
Abstract:
Embodiments include a system for forecasting demand data for new products. The system and method may include generating a phase-in group profile based on similar products. The phase-in group profile may have multiple demand profiles for low, medium and high demand variations. These demand profiles may be applied to new products in the same phase-in group to generate a forecast profile.
Kimbirly Vasi was born in Farmington, MI on April 3, 1965. Married to Gary Vasi since September 29, 2000. Two sons: Adam born in 1986 and Samuel born in ...
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Gary Vasi Manager, Manager Forecasting
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