Demand Risk Mitigation by Reserved Capacity in Supply Chains
Date Issued
2010
Date
2010
Author(s)
Huang, Hsin-Yi
Abstract
Risk management is a major concern in supply chains that have high levels of uncertainty in product demand, manufacturing process or part supply. Depending on the nature and severity of uncertainty, the impact of dynamic events can be distinguished into three categories: deviation, disruption, and catastrophe. At the short/medium-term level, firms want to find some control policy to mitigate the impact disruption. At the long-term level, firms tend to find some strategy to pool the risks. This dissertation focuses on demand risk mitigation by reserved capacity.
For short/medium-term risk management, a dynamic system model of supply chains which can be applied to managing disruptive events in full-load states of manufacturing chains. An example of disruptive events is given which arises from demand shocks in distribution channel. Analytic optimal solution is derived for the dynamic model. This model can be used to reduce what could have been a disruptive event into a deviation event, thus enhancing risk management.
For long-term risk management, we present theoretical work on production economics of possible configuration changes in supply chains of high-tech manufacturing industries. The case of tapered technology-manufacturing alliance between a process technology firm with captive manufacturing capability and an efficient manufacturing firm is considered. A framework of analysis is proposed for fusing the factors of technology licensing, manufacturing efficiency, risk sharing and demand uncertainty. The utility of the methods is also demonstrated with an analysis of alliance stability when facing potential new entrants.
Subjects
risk management
channel inventory
dynamic control
alliance
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-99-D93522004-1.pdf
Size
23.53 KB
Format
Adobe PDF
Checksum
(MD5):52a9272960bf10f8e20491b3638b76c5