Simon Emde
Aarhus University
83 Papers
468 Citations
Simon Emde is an academic researcher from Aarhus University. The author has contributed to research in topics: Computer science & Job shop scheduling. The author has an hindex of 19, co-authored 73 publications. Previous affiliations of Simon Emde include Technische Universität Darmstadt & Schiller International University.
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Papers
Part logistics in the automotive industry: Decision problems, literature review and research agenda
TL;DR: In this paper, the elementary process steps of part logistics in the automotive industry starting with the initial call order to the return of empty part containers are described, important decision problems are specified, existing literature is surveyed, and open research challenges are identified.
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Parts-to-picker based order processing in a rack-moving mobile robots environment
TL;DR: In a comprehensive computational study, it is shown that an optimized order picking allows to more than halve the fleet of robots compared to simple decision rules often applied in real-world warehouses.
192
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Parts-to-picker based order processing in a rack-moving mobile robots environment
TL;DR: In this article, a special parts-to-picker based order processing system, where mobile robots hoist racks and bring them directly to stationary pickers, is presented, and the resulting decision problem is formalized and provided suited solution procedures.
126
Optimally locating in-house logistics areas to facilitate JIT-supply of mixed-model assembly lines
Simon Emde,Nils Boysen +1 more
TL;DR: In this paper, the decision problem of determining the optimal number and placement of supermarkets on the shop floor is investigated in a comprehensive computational study, and the validity of the proposed approach for practical purposes as well as the trade-off resulting from fixed installation and maintenance cost is investigated.
111
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.
96