Erich Teppan
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Enabling Horizontal Collaboration in Logistics Through Secure Multi-Party Computation Open
The road transport sector is currently facing significant challenges, due in part to CO2 emissions, high fuel prices, and a shortage of staff. These issues are partially caused by more than 40% of truck journeys being “empty runs” in some …
Summary of "Randomized Problem-Relaxation Solving for Over-Constrained Schedules" (Extended Abstract) Open
We present a general framework for tackling over-constrained job shop scheduling problems (JSSP) where the volume of jobs (orders) exceeds the production capacity for a given planning horizon. The goal is to process as many or as utile job…
Symbolic Artificial Intelligence Methods for Prescriptive Analytics Open
Prescriptive analytics in supply chain management and manufacturing addresses the question of "what" should happen "when", where good recommendations require the solving of decision and optimization problems in all stages of the product li…
View article: Sensor-Based Moisture Prediction for Flat Roofs1
Sensor-Based Moisture Prediction for Flat Roofs1 Open
Flat roofs have become popular also in central and northern Europe during the last decades. One advantage when compared to pitched roofs is that flat roofs are typically significantly cheaper. Furthermore, the roof space can be used also a…
Industrial-size job shop scheduling with constraint programming Open
The job shop scheduling problem is one of the most studied optimization problems to this day and it becomes more and more important in the light of the fourth industrial revolution (Industry 4.0) that aims at fully automated production pro…
Large-Scale Benchmarks for the Job Shop Scheduling Problem Open
This report contains the description of two novel job shop scheduling benchmarks that resemble instances of real scheduling problem as they appear in industry. In particular, the aim was to provide large-scale benchmarks (up to 1 million o…
The Scheduling Job-Set Optimization Problem: A Model-Based Diagnosis Approach Open
A common issue for companies is that the volume of product orders may at times exceed the production capacity. We formally introduce two novel problems dealing with the question which orders to discard or postpone in order to meet certain …
Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling Problem Open
The job-shop scheduling is one of the most studied optimization problems from the dawn of computer era to the present day. Its combinatorial nature makes it easily expressible as a constraint satisfaction problem. In this paper, we compare…
Industrial Applications of Answer Set Programming Open
Automated problem solving in combination with declarative specifications of search-problems have shown to substantially improve the implementation and maintenance costs as well as the man-machine interaction of deployed industrial applicat…
Heuristic Constraint Answer Set Programming Open
Constraint answer set programming (CASP) is a family of hybrid approaches integrating answer set programming (ASP) and constraint programming (CP). These hybrid approaches have already proven to be very successful in various domains. In th…