Sensitivity Analysis on Semiconductor Supply Chain Network Configuration
Date Issued
2006
Date
2006
Author(s)
Chen, Cheng-Bang
DOI
zh-TW
Abstract
Semiconductor supply chain operations are very sophisticated and dynamic so that they are hard to be described precisely by traditional scheduling and planning methods. In order to elucidate the behavior of these operations of semiconductor supply chain network, a new behavior model, which takes quality of services, adaptability to process varieties, engineering changes, controllability and scalability of performance metrics into consideration, was developed. This then allows us to find the optimal supply chain configuration. However, by exploring the tolerance of environment disturbance, the impact of these disturbances on optimal supply chain model can be obtained without resolving the model due to the computational complexity of the model. Thus, this thesis intends to look into the issues of range of feasibility of this semiconductor supply chain model.
Unfortunately, the objective function of our supply chain model is indefinite quadratic even though we know that the positive semi-definite property is useful in the sensitivity analysis of quadratic programming. Therefore, we propose an approach that an indefinite function is initially transformed and approximated by separable programming and piecewise positive semi-definite functions such that the sensitivity analysis can be performed by applying the Wolfe-duality theory. Next, the feasibility ranges of all the constraints in the optimal configuration under different scenarios of perturbation can easily be explored. Moreover, the critical factors of the supply chain can be identified according to the sensitivity analysis results. Finally, with all these results, a possible monitoring mechanism can be developed for making quick adjustments if any inefficiency is detected.
Subjects
半導體供應鏈
多目標規劃
分段規劃
敏感度分析
沃夫對偶定理
啟發解
Semiconductor supply chain
Goal programming model
sensitivity analysis
Separable programming
Wolfe duality theory
heuristic
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-95-R93546023-1.pdf
Size
23.53 KB
Format
Adobe PDF
Checksum
(MD5):25ec9f2980bf5015938b0913bc6fe412
