Master Thesis Segmentation and Planning

Logistics, Sales & Operations · Supply Chain & Transport · Logistics Management

In short

Join Ericsson for a Master Thesis focusing on supply-chain planning segmentation and methodology selection. Develop a framework to assign products and segments to appropriate planning approaches, optimizing performance and costs. This role requires a background in Supply Chain Management, Industrial Engineering, or related fields.

Responsibilities

Investigate how products and supply-chain segments can be systematically classified and assigned to appropriate supply-chain planning methodologies.
Develop a conceptual and practically applicable framework for determining segmentation dimensions and criteria to select appropriate planning methodologies (e.g., supply network planning, MRP, DDMRP, finite-capacity planning, hybrid approaches).
Define performance metrics to govern and evaluate whether a selected methodology delivers the expected business outcomes.
Potentially combine a literature review with empirical analysis of supply-chain, inventory, demand, and planning data.
Employ relevant methods such as segmentation analysis, clustering, decision trees, multicriteria decision analysis, optimization, simulation, cost-benefit analysis, and stakeholder interviews.
Support fact-based decisions on where to standardize, automate, differentiate, simplify, or change planning methodologies.

Requirements

Suitable background: Supply Chain Management, Industrial Engineering, Operations Research, Data Science, Business Analytics, Economics, or a related field.
Knowledge of inventory management, demand planning, MRP, DDMRP, forecasting, optimization, simulation, and data analysis is advantageous.

Benefits

An outstanding opportunity to use your skills and imagination.
The chance to build solutions never seen before.
Be challenged but not alone; join a team of diverse innovators.
Join a company that champions diversity and inclusion.

Skills

Supply Chain ManagementIndustrial EngineeringOperations ResearchData ScienceBusiness AnalyticsEconomicsinventory managementdemand planningMRPDDMRPforecastingoptimizationsimulationdata analysis

#Supply Chain Planning#Master Thesis#Segmentation#Methodology Selection#Inventory Management#Demand Planning#Operations Research#Data Analysis#Industrial Engineering#Stockholm#Sweden

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