Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/36167
Title: Developing an Integrated Quantity and Quality Approach for Improving the Performance of Multistage Manufacturing Systems
Authors: CAO YONGXIN
Keywords: Multistage Manufacturing Systems, Performance Evaluation, Markov Chains, Decomposition, Continuous Sampling Plans, Rework
Issue Date: 28-Feb-2012
Source: CAO YONGXIN (2012-02-28). Developing an Integrated Quantity and Quality Approach for Improving the Performance of Multistage Manufacturing Systems. ScholarBank@NUS Repository.
Abstract: Improving the performance of manufacturing systems is of great importance for industrial manufacturers to survive the fierce competition brought about by globalization. However, such improvement becomes challenging because of the various uncertainties present in the system. Uncertainties such as machine failures, imperfect product quality, random processing times and other system configurations, such as, varied inspection fraction, finite buffers and possible rework loops, further complicate the performance analysis. This thesis proposes analytical methods for modeling such multistage systems. These methods are used to calculate various quantitative and qualitative performance measures. Based on these methods, the author further explores a variety of managerial problems for improving performance, such as continuous sampling plans, bottleneck identification, inspection machine location and buffer space allocation.
URI: http://scholarbank.nus.edu.sg/handle/10635/36167
Appears in Collections:Ph.D Theses (Open)

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