Supply Chain Explorer – ORTEC
Overview
| Company Name / Department |
ORTEC (and MediaMarktSaturn) |
| Contact Person |
Noud Gademann & Ronald Buitenhek |
| Location | Zoetermeer and at location of the customer |
| Optional remote work | Yes. Number of days is flexible depending on project development and preferences of student. |
| Travel expenses (own account or reimbursed by the company) | Starting point is usage of own student OV. |
| Housing arranged by company | No |
| Housing expenses (how much per month, own account or subsidized by the company) | Own account (no reimbursement) |
| Internship compensation | Internship allowance, laptop, and other office facilities |
| Study program |
Operations Management and Logistics (OML) |
| ESCF community |
Data2Move |
| Start date |
September, 2024 |
Project Description
Project description:
The project revolves around the “supply chain explorer” project, which is initiated by ORTEC and supported by the Data2Move community of the ESCF.
On a tactical or strategic level, supply chain managers define performance indicators(e.g., service level, #average daily production, etc.). Then, they develop operational strategies to meet targets of these criteria. This is often done quarterly or yearly.
However, often performance indicators drop below their intended target. The cause is that, for example, customer demand has changed or products have been introduced in the portfolio. In this project, we like to work on a new tool that:
1) Can detect the causes of changes in performance, leading to performance gaps. This can, for instance, be done by diagnostic data analysis in addition to more traditional performance monitoring.
2) Determine (automatically) a mitigation strategy or intervention logic that might help to restore the performance.
3) Quantify the impact of (one or multiple) mitigation strategies on the performance targets. This can, for instance, be done via simulation or optimization.
This customer of ORTEC, and fellow ESCF member, within the context of the supply chain explorer project is MediaMarktSaturn:
For MediaMarktSaturn, one of the biggest cost KPIs is the Cost per Unit (CPU). In order to understand high and fluctuating CPU, MMS aims to analyze the Supply Chain Transport Cost to identify root causes and preventive measures. The goal of the project is to create visibility on the CPU and create predictive insights on the drivers of a high CPU. Additionally, corrective actions are desired to reduce the overall transport costs. Several countries will be considered with various network characteristics to support the understanding of the effect of different network configurations on the overall CPU. Tactical, robust, and realizable prescriptive actions are expected as outcome from the project.
Goals of the project:
The goal of the project is to create visibility on the CPU and create predictive insights on the drivers of a high CPU. Additionally, corrective actions are desired to reduce the overall transport costs.
Deliverables:
Thesis
Essential Student Knowledge:
Interests in Supply Chain Optimization, Analytics, Transportation (a bit)
More information: escf@tue.nl
