TY - GEN
T1 - Spare parts management considering new sales
AU - Liao, Haitao
AU - Wang, Peng
AU - Jin, Tongdan
AU - Repaka, Sunny
PY - 2008
Y1 - 2008
N2 - It is difficult to control spare parts inventory of a product to meet certain maintenance demand. The problem becomes more challenging when the installed base of the product changes over time. Under this situation, the inventory value needs to be adjusted according to the resulting non-stationary maintenance demand. This challenge is usually encountered when a manufacturer starts selling a new product and agrees to provide spare parts for maintenance. In this paper, a special case involving a new non-repairable product with a single spare pool is considered. It is assumed that the rate of new sales of the product is constant, and the product's failure time follows the Weibull distribution. The mathematical model for the resulting maintenance demand is formulated and calculated through simulation. Based on the maintenance demand, a dynamic (Q, r) - (lotsize/reorder-point) restocking policy is formulated and solved using a multi-resolution approach. Finally, a numerical example with the objective of minimizing the inventory cost under a service level constraint is provided to demonstrate the proposed methodology in practical use.
AB - It is difficult to control spare parts inventory of a product to meet certain maintenance demand. The problem becomes more challenging when the installed base of the product changes over time. Under this situation, the inventory value needs to be adjusted according to the resulting non-stationary maintenance demand. This challenge is usually encountered when a manufacturer starts selling a new product and agrees to provide spare parts for maintenance. In this paper, a special case involving a new non-repairable product with a single spare pool is considered. It is assumed that the rate of new sales of the product is constant, and the product's failure time follows the Weibull distribution. The mathematical model for the resulting maintenance demand is formulated and calculated through simulation. Based on the maintenance demand, a dynamic (Q, r) - (lotsize/reorder-point) restocking policy is formulated and solved using a multi-resolution approach. Finally, a numerical example with the objective of minimizing the inventory cost under a service level constraint is provided to demonstrate the proposed methodology in practical use.
KW - Maintenance demand
KW - New sales
KW - Optimization
KW - Spare parts management
UR - http://www.scopus.com/inward/record.url?scp=67650299173&partnerID=8YFLogxK
U2 - 10.1109/RAMS.2008.4925847
DO - 10.1109/RAMS.2008.4925847
M3 - Conference contribution
AN - SCOPUS:67650299173
SN - 142441461X
SN - 9781424414611
T3 - Proceedings - Annual Reliability and Maintainability Symposium
BT - 2008 Proceedings - Annual Reliability and Maintainability Symposium, RAMS 2008
T2 - 54th Annual Reliability and Maintainability Symposium, RAMS 2008
Y2 - 28 January 2008 through 31 January 2008
ER -