Data Analytics for Business and Societal Challenges
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Paper Number
1243
Paper Type
Completed
Description
The COVID-19 pandemic is disrupting the economy and especially global supply chains. By providing data-driven decision support, information systems play a crucial role to overcome this disruption. In this paper, we present a thermal container repositioning IT artifact, which we develop by a design science research approach. The resulting information system provides operational and strategic decision support to container repositioning experts as well as fleet managers. Facing the uncertain situation and the necessity of a robust supply chain for vaccine distribution, we highlight how a strategic decision support for container investment can aid in supply chain resilience. To this end, we cooperate with a major thermal container provider and derive implications about data-driven decision support and practical necessities such as the presented network repositioning optimization model with integrated transportation mode decision. This enables us to assess the impact of uncertain situations and be optimally prepared for the ongoing vaccine distribution.
Recommended Citation
Oberdorf, Felix; Wolf, Peter; Schaschek, Myriam; and Stein, Nikolai, "Strategic Decision Support System for Fleet Investments in the Vaccine Supply Chain" (2021). ICIS 2021 Proceedings. 3.
https://aisel.aisnet.org/icis2021/data_analytics/data_analytics/3
Strategic Decision Support System for Fleet Investments in the Vaccine Supply Chain
The COVID-19 pandemic is disrupting the economy and especially global supply chains. By providing data-driven decision support, information systems play a crucial role to overcome this disruption. In this paper, we present a thermal container repositioning IT artifact, which we develop by a design science research approach. The resulting information system provides operational and strategic decision support to container repositioning experts as well as fleet managers. Facing the uncertain situation and the necessity of a robust supply chain for vaccine distribution, we highlight how a strategic decision support for container investment can aid in supply chain resilience. To this end, we cooperate with a major thermal container provider and derive implications about data-driven decision support and practical necessities such as the presented network repositioning optimization model with integrated transportation mode decision. This enables us to assess the impact of uncertain situations and be optimally prepared for the ongoing vaccine distribution.
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