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doi:10.22028/D291-34241
Titel: | Cable tree wiring - benchmarking solvers on a real-world scheduling problem with a variety of precedence constraints |
VerfasserIn: | Koehler, Jana Bürgler, Josef Fontana, Urs Fux, Etienne Herzog, Florian Pouly, Marc Saller, Sophia Salyaeva, Anastasia Scheiblechner, Peter Waelti, Kai |
Sprache: | Englisch |
Titel: | Constraints |
Verlag/Plattform: | Springer Nature |
Erscheinungsjahr: | 2021 |
Freie Schlagwörter: | TSP with precedence constraints Tour-dependent edge costs Soft coupled task scheduling Constraint optimization Benchmarking CP-SAT MIP OMT solvers |
DDC-Sachgruppe: | 004 Informatik |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | Cable trees are used in industrial products to transmit energy and information between different product parts. To this date, they are mostly assembled by humans and only few automated manufacturing solutions exist using complex robotic machines. For these machines, the wiring plan has to be translated into a wiring sequence of cable plugging operations to be followed by the machine. In this paper, we study and formalize the problem of deriving the optimal wiring sequence for a given layout of a cable tree. We summarize our investigations to model this cable tree wiring problem (CTW). as a traveling salesman problem with atomic, soft atomic, and disjunctive precedence constraints as well as tour-dependent edge costs such that it can be solved by state-of-the-art constraint programming (CP), Optimization Modulo Theories (OMT), and mixed-integer programming (MIP). solvers. It is further shown, how the CTW problem can be viewed as a soft version of the coupled tasks scheduling problem. We discuss various modeling variants for the problem, prove its NP-hardness, and empirically compare CP, OMT, and MIP solvers on a benchmark set of 278 instances. The complete benchmark set with all models and instance data is available on github and was included in the MiniZinc challenge 2020. |
DOI der Erstveröffentlichung: | 10.1007/s10601-021-09321-w |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-342417 hdl:20.500.11880/31423 http://dx.doi.org/10.22028/D291-34241 |
ISSN: | 1572-9354 1383-7133 |
Datum des Eintrags: | 23-Jun-2021 |
Fakultät: | MI - Fakultät für Mathematik und Informatik |
Fachrichtung: | MI - Informatik |
Professur: | MI - Prof. Dr. Jana Koehler |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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Koehler2021_Article_CableTreeWiring-BenchmarkingSo.pdf | 1,69 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons