University of Twente Student Theses
Introducing data-driven decision-making to orchestrate a company's supply chain
Niewzwaag, G.A.F. (2024) Introducing data-driven decision-making to orchestrate a company's supply chain.
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| Abstract: | Company X faces challenges in making supply chain decisions, often relying on intuition without clear insight into the consequences. The Supply Chain Manager struggles to make informed choices due to unutilized data, despite its availability. To address this, the research aims to answer: "How can Company X create insight into transportation and order-picking to make data-driven decisions in the supply chain?" Using the CRISP-DM methodology, the research begins with Business Understanding, including interviews with order-pickers and truck drivers to map working steps and costs. In the Data Understanding phase, relevant data is identified, leading to the development of fleet performance KPIs. These KPIs are used in the Modeling phase to create two draft dashboards: the Driver Performance Dashboard and the Fleet Performance Dashboard. These dashboards provide valuable insights into transportation performance, enabling the Supply Chain Manager to make informed, data-driven decisions and see the direct impact of their choices. A deployment plan for practical implementation is also developed, along with recommendations for further research to enhance the dashboards. |
| Item Type: | Essay (Bachelor) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 85 business administration, organizational science |
| Programme: | Industrial Engineering and Management BSc (56994) |
| Link to this item: | https://purl.utwente.nl/essays/102747 |
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