| dc.description.abstract | We address a problem of inventory management of spare parts in the context
of a large energy company, producer of oil and gas. Spare parts are critical
for assuring operational conditions in offshore platforms. About 200,000
different items are held in several inventory plants. The inventory system
implemented at the company corresponds to a min-max system. The control
parameters are decided based mainly on the expert judgment of the planners.
Also, though the inventory plants can in practice be supplied from each
other, the inventory planning is performed separately by the plant planners.
This is because of different ownership structures where the studied company
has the operative responsibility. The company is pursuing a system in which
all planners conform to the same inventory management approach and evaluation,
as well as being more cost efficient. Our work focuses on supporting
this goal. We apply methods to decide the inventory control parameters for
this system under a service level constraint. The methodology we use distinguishes
unit-size and lot-size demand cases. We perform computational
experiments to find control parameters for a sample of items. After the control
parameters are found, we use them to explore the impact of risk pooling
among the plants and inaccuracy arising from duplicate item codes. | nb_NO |
