Date of Award
2013
Publication Type
Master Thesis
Degree Name
M.A.Sc.
Department
Industrial and Manufacturing Systems Engineering
Keywords
Applied sciences, Failure distribution, Inventory, Optimization, Spare parts
Supervisor
Guoqing Zhang
Supervisor
Kevin Li
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
Spare parts inventory management plays an important role in many industries. They exist to serve the maintenance planning and a good planning can significantly reduce maintenance cost. This thesis developed a series of non-linear programming models to obtain optimal spare parts replenishment policies for failure-based maintenance in a single period. Both single Part Number case and multiple Part Numbers case with a budget constraint are addressed. Compared with traditional forecasting methods which only consider historical data, our proposed inventory policies take into account reliability issues and predict impending demands based on part failure distributions from two perspectives: failure time and failure numbers. Therefore, optimal order quantity and best order time can be found to realize total cost minimization, as well as a systematic inventory optimization.
Recommended Citation
Gu, Jingyao, "Proactive and Efficient Spare Parts Inventory Management Policies Considering Reliability Issues" (2013). Electronic Theses and Dissertations. 4888.
https://scholar.uwindsor.ca/etd/4888