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Malte Fliedner

Researcher at University of Hamburg

Publications -  68
Citations -  4440

Malte Fliedner is an academic researcher from University of Hamburg. The author has contributed to research in topics: Scheduling (production processes) & Transshipment (information security). The author has an hindex of 26, co-authored 67 publications receiving 4043 citations. Previous affiliations of Malte Fliedner include Technische Universität Darmstadt & University of Jena.

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A versatile algorithm for assembly line balancing

TL;DR: This paper discusses a two stage graph-algorithm, which was designed to solve line balancing problems including practice relevant constraints (GALBP), such as parallel work stations and tasks, cost synergies, processing alternatives, zoning restrictions, stochastic processing times or U-shaped assembly lines.
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The sequence-dependent assembly line balancing problem

TL;DR: This paper defines this new problem, formulate several versions of a mixed-integer program, adapt solution approaches for SALBP to SDALBP, generate test data and perform some preliminary computational experiments, and finds that applying SALBP-based search procedures is very effective, whereas modelling and solving the problem with MIP standard software is not recommendable.
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Optimally loading tow trains for just-in-time supply of mixed-model assembly lines

TL;DR: This article investigates the loading problem of tow trains, which aims at minimizing inventory near the line while avoiding material shortages given the limited capacity of the tow trains.
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Determining crane areas in intermodal transshipment yards: The yard partition problem

TL;DR: This paper provides an exact solution procedure which determines disjunct yard areas of varying size for multiple gantry cranes in polynomial runtime, so that the workload for a given pulse of trains is equally distributed among cranes.
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The assembly line balancing and scheduling problem with sequence-dependent setup times: problem extension, model formulation and efficient heuristics

TL;DR: The assembly line balancing problem is modified by modeling setups more realistically, a new, more compact mathematical model formulation is given and effective heuristic solution procedures are developed that outperform formerly proposed heuristics.