We address the procurement of new components for recyclable products in the
context of Kodak's single-use camera. The objective is to find an ordering
policy that minimizes the total expected procurement, inventory holding, a
nd lost sales cost. Distinguishing characteristics of the system are the un
certainty and unobservability associated with return flows of used cameras.
We model the system as a closed queueing network, develop a heuristic proc
edure for adaptive estimation and control, and illustrate our methods with
disguised data from Kodak. Using this framework, we investigate the effects
of various system characteristics such as informational structure, procure
ment delay, demand rate, and length of the product's life cycle.