Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/158531
Title: A system dynamics model for capacity planning in the semiconductor industry
Authors: Foong, Yong Qing
Keywords: Engineering::Industrial engineering::Engineering management
Engineering::Manufacturing::Production management
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Foong, Y. Q. (2022). A system dynamics model for capacity planning in the semiconductor industry. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158531
Project: B056
Abstract: The global chip shortage has begun in early 2020 and persisting even after 2 years. The semiconductor industry has been running its production line at near full capacity and trying to ramp up its fabrication capacity. In this study, a System Dynamics model is developed to facilitate capacity planning in the semiconductor industry and is extended for planning under irregular conditions. The System Dynamics approach is used due to its ability to illustrate system behaviour and information feedback. In the simulation, a base model is first developed based on production without any disruption and it’s then modified and extended its application in irregular conditions. In this study, to simulate the global chip shortage condition, events such as stock piling and order amplification are introduced into the extended model. When there are no disruptions in the semiconductor supply chain, the capacity can be simply planned according to the demand trend. However, under irregular conditions, capacity planned according to the demand can lead to undesirable situations such as low order fulfilment rate or capacity overage. Especially, in the condition of global chip shortage, production is held up by the delayed capacity expansion and disturbed by the amplified order. Furthermore, a significant amount of capacity overage is observed after desired capacity is achieved. Therefore, additional policies need to be included to plan capacity under irregular conditions to avoid capacity overage.
URI: https://hdl.handle.net/10356/158531
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)

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