TY - GEN
T1 - Simulation-Based Analysis of the Nervousness within Semiconductors Supply Chain Planning
T2 - 2019 Winter Simulation Conference, WSC 2019
AU - Mousavi, Behrouz Alizadeh
AU - Azzouz, Radhia
AU - Heavey, Cathal
AU - Ehm, Hans
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - In the growing globalization of production systems, the complexity of supply chains as socio-technical systems is escalating which, consequently, increases the importance of strong planning systems. Plans are developed to structure production in end-to-end supply chains that can experience nervousness due to uncertainties that results in unsatisfied customers. Although the external causes of nervousness and instabilities in supply chain planning systems were previously considered in the literature, internal nervousness of planning these complex networks can result from how the sub-components of the planning system interact. To study internal nervousness, a supply chain system of a semiconductor manufacturer is investigated as a case study. We examine internal nervousness of demand fulfillment by proposing a multi-paradigm simulation approach that combines discrete event and agent-based simulation. The results provide insight into the importance of visibility on the internal interactions of supply chain networks to reduce instability.
AB - In the growing globalization of production systems, the complexity of supply chains as socio-technical systems is escalating which, consequently, increases the importance of strong planning systems. Plans are developed to structure production in end-to-end supply chains that can experience nervousness due to uncertainties that results in unsatisfied customers. Although the external causes of nervousness and instabilities in supply chain planning systems were previously considered in the literature, internal nervousness of planning these complex networks can result from how the sub-components of the planning system interact. To study internal nervousness, a supply chain system of a semiconductor manufacturer is investigated as a case study. We examine internal nervousness of demand fulfillment by proposing a multi-paradigm simulation approach that combines discrete event and agent-based simulation. The results provide insight into the importance of visibility on the internal interactions of supply chain networks to reduce instability.
UR - http://www.scopus.com/inward/record.url?scp=85081120140&partnerID=8YFLogxK
U2 - 10.1109/WSC40007.2019.9004936
DO - 10.1109/WSC40007.2019.9004936
M3 - Conference contribution
AN - SCOPUS:85081120140
T3 - Proceedings - Winter Simulation Conference
SP - 2396
EP - 2407
BT - 2019 Winter Simulation Conference, WSC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 December 2019 through 11 December 2019
ER -