Jabil

MasterThesis(m/w/d)50%-100%

bettlach, solothurn, switzerland FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Master Thesis (m/w/d) 50% - 100% at Jabil. Skills: Dynamic simulation program development, Lot size optimization, Inventory cost calculation, Customer demand forecasting, Setup time analysis, Bill of materials (BOM) component management, Production planning, Material flow simulation, Inventory management, Demand variability modeling, Setup cycle modeling, Optimization algorithm development, Mathematical optimization, User interface (UI) development, Dashboard creation, Data visualization, Sensit”

What You'll Achieve.

Development of a functional software prototype for calculating optimal lot sizes in a variable production environment; Provision of optimization suggestions for lot sizes at component and finished part level; Consideration of multi-use of parts in different bills of materials; Provision of a graphical user interface or visualization

Industry & Context.

Problems you'll solve

Optimization of lot sizes; Addressing challenges in planning optimal lot sizes; Developing a dynamic simulation-based analysis tool

What They're Looking For.

Must Have

Master Thesis

What You'll Do.

Development of a dynamic simulation program for lot size optimization

Analysis of existing bill of materials structure

Identification of relevant parameters (demand patterns

Development of a conceptual simulation model

Definition of optimization goals and restrictions

Selection of simulation environment

Creation of a dynamic inventory and material flow model

Modeling of value-adding processes

and demand variability

Implementation of multi-use logic for components

Derivation of dynamic lot size logic

Combination of simulation results and mathematical optimization

Calculation of optimal lot sizes for components and finished parts

Comparison of different optimization approaches

Development of a UI or dashboard representation

Visualization of simulation runs

inventory level developments

Testing and validation using real production data

Creation of technical documentation

Presentation of results

How You'll Work.

Communication Scope

Presentation of results

Full Job Description

At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe. **1\. Projekttitel** Entwicklung eines dynamischen Simulationsprogramms zur Losgrößenoptimierung für mehrfach verwendete Stücklistenkomponenten unter Berücksichtigung von Lagerkosten, Kundenbedarfen und Rüstzeiten **2\. Ausgangslage / Problemstellung** In komplexen Produktionsumgebungen werden viele Komponenten in mehreren Baugruppen oder Endprodukten gleichzeitig verwendet. Dies führt zu erheblichen Herausforderungen bei der Planung optimaler Losgrößen. Die heutigen Planungsmethoden basieren häufig auf statischen Formeln (z. B. Andler), die reale Schwankungen wie stochastische Kundenbedarfe, variable Rüstzeiten oder dynamische Lagerbestände nicht ausreichend berücksichtigen. Es fehlt ein dynamisches simulationsbasiertes Analysewerkzeug, das die Mehrfachverwendung von Komponenten berücksichtigt, Lagerkosten, Rüstkosten und Bedarfsvariabilität integriert, produktspezifische Abhängigkeiten in Stücklistenstrukturen abbildet und automatisch optimale Losgrößen auf Komponenten- und Fertigteilebene vorschlägt. **3\. Projektziel** Ziel des Projekts ist die Entwicklung eines funktionalen Softwareprototyps zur Berechnung optimaler Losgrößen in einem variablen Produktionsumfeld. Der Prototyp soll in einem geeigneten Programmier- oder Simulationsframework entwickelt werden (z. B. R, KNIME, Python, Power BI, Simio oder vergleichbare Tools). Das Programm soll eine dynamische Simulation von Materialflüssen und Lagerbeständen durchführen, Kunden

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