TY - JOUR
T1 - Joint production and spare part inventory control strategy driven by condition based maintenance
AU - Rausch, Mitchell
AU - Liao, Haitao
N1 - Funding Information:
Manuscript received January 11, 2009; revised August 20, 2009; accepted January 31, 2010. Date of publication July 23, 2010; date of current version September 01, 2010. This work was supported in part by the National Science Foundation under Grant CMMI-0954667. Associate Editor: L. Walls. M. Rausch is with Cessna Aircraft Company, Wichita, KS 67215 USA (e-mail: [email protected]). H. T. Liao is with the Nuclear Engineering Department and the Industrial and Information Engineering Department, University of Tennessee, Knoxville, TN 37996 USA (e-mail: [email protected]). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TR.2010.2055917
PY - 2010/9
Y1 - 2010/9
N2 - Throughput of a manufacturing process depends on the effectiveness of equipment maintenance, and the availability of spare(service) parts. This paper addresses a joint production and spare part inventory control strategy driven by condition based maintenance(CBM) for a piece of manufacturing equipment. Specifically, a critical unit is continuously monitored for performance degradation during operation. The amount of degradation is utilized to initiate replacement actions in conjunction with spare part inventory control under both production lot size, and due date constraints. A degradation limit maintenance policy is combined with a base stock spare part inventory control policy to manage the manufacturing process. The objectives are to minimize the spare part inventory, and the expected total operating cost. Constrained least squares approximation, and simulation-based optimization are utilized, in a heuristic two-step approach, to determine the optimal base-stock level of spare parts, along with the preventive maintenance threshold. The resulting joint decision ascertains the allowed stockout probability for spare parts, while incurring the minimal operating cost for the required production within a fixed production duration. A case study of an automotive engine manufacturing process is provided to demonstrate the proposed decision-making methodology in practical use.
AB - Throughput of a manufacturing process depends on the effectiveness of equipment maintenance, and the availability of spare(service) parts. This paper addresses a joint production and spare part inventory control strategy driven by condition based maintenance(CBM) for a piece of manufacturing equipment. Specifically, a critical unit is continuously monitored for performance degradation during operation. The amount of degradation is utilized to initiate replacement actions in conjunction with spare part inventory control under both production lot size, and due date constraints. A degradation limit maintenance policy is combined with a base stock spare part inventory control policy to manage the manufacturing process. The objectives are to minimize the spare part inventory, and the expected total operating cost. Constrained least squares approximation, and simulation-based optimization are utilized, in a heuristic two-step approach, to determine the optimal base-stock level of spare parts, along with the preventive maintenance threshold. The resulting joint decision ascertains the allowed stockout probability for spare parts, while incurring the minimal operating cost for the required production within a fixed production duration. A case study of an automotive engine manufacturing process is provided to demonstrate the proposed decision-making methodology in practical use.
KW - Bi-objective optimization
KW - condition based maintenance
KW - maintenance strategy
KW - production
KW - spare part inventory control
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U2 - 10.1109/TR.2010.2055917
DO - 10.1109/TR.2010.2055917
M3 - Article
AN - SCOPUS:77956341576
SN - 0018-9529
VL - 59
SP - 507
EP - 516
JO - IEEE Transactions on Reliability
JF - IEEE Transactions on Reliability
IS - 3
M1 - 5518345
ER -