Jens-Peter Joost
Operations Research Consultant & Optimization Specialist @Jpj Solutions
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WORK HISTORY
Operations Research Consultant & Optimization Specialist @Jpj Solutions
Region Köln/Bonn, DE
I work with supply chain and production teams on optimization problems where: problem size or complexity exceeds standard approaches solver performance becomes a bottleneck business decisions require explainability and guaranteesTypical work includes: redesigning MILP / CP models solver benchmarking and performance tuning custom heuristics and decomposition transition from prototype to production-ready solvers
EDUCATION
RPTU Kaiserslautern-Landau
Bachelor of Science, Mathematics
RPTU Kaiserslautern-Landau
Master's degree, Mathematics
National University of Singapore
Mathematics and Computer Science
ABOUT JENS-PETER JOOST
I fix these problems.I\'m an Operations Research specialist with 11+ years of experience in mathematical optimization. My focus: combinatorial optimization problems in supply chain, production planning, vehicle routing, and workforce scheduling: Design custom optimization algorithms that outperform generic solvers Tune and accelerate existing MIP/CP models (HiGHS, OR-Tools, Gurobi, CPLEX) Build production-ready optimization systems from scratch Rescue projects where the current solution doesn\'t meet business requirements :I don\'t just throw a solver at your problem. I analyze the mathematical structure, exploit problem-specific properties, and often achieve 10x-100x speedups through smart modeling and algorithm design:I contribute state-of-the-art algorithms for specific combinatorial problems to the OR community: M.Sc. Mathematics Worked for 6 years as a Data Scientist specialized in Operations Research at DHL Global Headquarters. Contributed to many Supply Chain Projects: Achivied 8% savings on solving daily Last Mile Vehicle Routing Problems with 3D Loading Constraints. Created \"What-If?\" Simulation Tool for a global Express Airfreight Network. Created SOTA Last-Mile-Delivery Solver considering Time Windows and driver preferences: You have a scheduling, routing, or allocation problem that needs to be solved optimally (or near-optimally) at scale Your current solution is too slow for production You bought software that doesn\'t deliver the promised results You need someone who understands both the math and the logistics use case
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