Evangelos Angelidis

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Planning and scheduling of assembly lines is a complex problem which is often very hard to solve with classical scheduling approaches. A promising way of dealing with problems of this domain is simulation based scheduling. We introduce the architecture of a framework which is designed to aid in the creation of solutions for assembly line workforce(More)
General purpose simulators offer an easy way to create simulations for a large variety of scenarios, although they are prepackaged with some drawbacks. To achieve their usefulness for most cases they need additional overhead and custom made extensions for special behavior which comes at enormous runtime and development cost. Especially when working with(More)
Our paper deals with the scheduling of complex assembly lines with a focus on Job Shop Scheduling Problems that exhibit several assembly specific characteristics: many isolated project networks with precedence constraints and thousands of jobs, time bound requirements for jobs and projects, limited resources with individual scheduling and resource lock(More)
The focus areas of our research are simulation and optimization of complex assembly lines for heavy machinery (airplanes, turbines, industrial machines etc.). These production facilities have several specific characteristics: many isolated project networks with precedence constraints and thousands of multi-mode activities, time-bounds for activities and(More)
A new algorithm for computing inverse cosine transforms or for designing zero-phase FIR filters from nonuniform frequency samples is presented. The algorithm is simple, fast, recursive and can be used in 1-D or 2-D applications. Based on the three-term recursive relation of the Chebyshev polynomials, the cosine matrix is decomposed into LU products using(More)
In this paper we focus on solution strategies for scheduling problems of complex assembly lines with workforce constraints. Typical products are airplanes, industrial machines and turbines which are produced by multi-skilled resources in small series or are even unique items. This production is defined as a Multi-Mode Resource-constrained Multi-Project(More)
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