Modeling and Analysis of Final-Order Problems with Repairable Spare Parts

• Main Authors: Xu-Hua Huang, 黃旭華
• Other Authors: Wen-Fang Wu
• Format: Others
• Language: en_US
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/32796221583864674122

碩士 === 國立臺灣大學 === 工業工程學研究所 === 102 === Original equipment manufacturers of advanced products often offer service contracts for system support to their customers, for which spare parts are needed. In order to provide better service to their customers, these suppliers need to ensure the availability of spare parts in repairing and maintenance operations. However, manufactures of spare parts may stop their productions at certain future time because of technology innovation, and their customers are usually offered opportunities to place final orders for these spare parts. In this paper, we consider a manufacturer of complex spare parts offering service contracts for its customers and committing to repair failed spare parts throughout a fixed service period. A customer would instead face the problem of how many spare parts to order, which we may address as a problem of determining the optimal number of final order. The spare parts that we consider are repairable with a fixed repair rate in terms of number of parts per unit time. However, for each part under repair, the chance of being successfully repaired may not be 100%. A transient Markov model is established to deal with the problem, and programming language C# combing with software packages MATLAB and EXCEL is employed to perform the simulation. An index ASL representing the actual service level is adopted to describe the performance of the selected final order. A regression analysis that results in another index for us to carry out more efficient computation is proposed as well. Finally, simulation results of the model are discussed. It is found that the proposed model can indeed help a customer to place an optimal order when facing a final order problem.