A dynamic inventory optimization method applied to printer fleet management
Conference Paper
Overview
Overview
abstract
Current optimization methods for inventory management of toner cartridges typically focus on aggregate cartridge demand. However, with the development of printer technology, toner consumption algorithms are being developed to track toner usage over time. We propose a dynamic inventory optimization approach for a fleet of printers over a rolling time horizon. Taking into account lead time and uncertainty related to demand, the proposed method utilizes toner consumption data for individual printers to forecast toner cartridge replacement times. The optimization model then determines the order times and order quantities to minimize the total cost subject to a specified service level.