Optimal scheduling for Automated Guided Vehicles (AGV) in blocking job-shops

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

Promising developments and further improvements of cyber physical logistics systems (CPLS) and automated guided vehicles (AGV) lead to broader application of such systems in production environments and smart factories. In this study a new mixed integer linear program (MILP) is presented for the scheduling of AGVs in a flexible reentrant job shop with blocking. Optimal solutions to small instances of the complex scheduling problem in a make-to-order production, minimizing the make span, are calculated. Different numbers of jobs are considered. Feasible schedules for the machines and the AGVs are generated from different sized instances to evaluate the limits of the mathematical model.

OriginalspracheEnglisch
TitelAdvances in Production Management Systems : The Path to Intelligent, Collaborative and Sustainable Manufacturing
HerausgeberRalph Riedel, Klaus-Dieter Thoben, Gregor von Cieminski, Dimitris Kiritsis, Hermann Lodding
Anzahl der Seiten8
Band1
VerlagSpringer Verlag
Erscheinungsdatum2017
Seiten151 - 158
ISBN (Print)978-3-319-66922-9
ISBN (elektronisch)978-3-319-66923-6
DOIs
PublikationsstatusErschienen - 2017
VeranstaltungAdvances in production managment systems Conference 2017 - Hamburg, Deutschland
Dauer: 03.09.201707.09.2017
http://www.apms-conference.org/past-conferences/apms-2017/

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  • Potenziale von fahrerlosen Transportfahrzeugen in Rahmen der Digitalisierung - Forschungsanschubfinanzierung

    Projekt: Forschung

  • Optimierung von dezentralen Ansätzen zur Belegung fahrerloser Transportsysteme

    Projekt: Dissertationsprojekt

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