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Zbigniew Banaszak

Researcher at Koszalin University of Technology

Publications -  233
Citations -  2149

Zbigniew Banaszak is an academic researcher from Koszalin University of Technology. The author has contributed to research in topics: Constraint satisfaction problem & Constraint programming. The author has an hindex of 19, co-authored 220 publications receiving 1848 citations. Previous affiliations of Zbigniew Banaszak include Polish Academy of Sciences & University of Zielona Góra.

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Deadlock avoidance in flexible manufacturing systems with concurrently competing process flows

TL;DR: The authors develop a Petri net model of concurrent job flow and dynamic resource allocation in an FMS and define deadlock in terms of transition enabling in the PN model to prove that restricted deadlock can never occur for any resource allocation policy implemented under the DAA restriction policy.
Journal Article

The Performance Evaluation Tool for Automated Prototyping of Concurrent Cyclic Processes

TL;DR: This paper focuses on providing a procedure that enables building analytical models of Cyclic Concurrent Processes Systems belonging to a system class considered in the paper, and the max-plus algebra formalism is employed.
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A methodology for implementation of mobile robot in adaptive manufacturing environments

TL;DR: In order for the mobile robot to work properly in a flexible (cloud-based) manufacturing environment, the communications and exchange of data between theMobile robot with other manufacturing systems and shop-floor operators are addressed in the methodology.
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Declarative approach to cyclic steady state space refinement: periodic process scheduling

TL;DR: This work discusses the sufficient conditions guaranteeing the schedulability of both local and multimodal cyclic processes, and proposes a recursive approach in designing them.
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Metaheuristic algorithms for balancing robotic assembly lines with sequence-dependent robot setup times

TL;DR: A recently developed metaheuristic Migrating Birds Optimization (MBO) algorithm and set of metaheuristics have been implemented and the performance of the MBO algorithm is superior for the tested datasets.