Optimal scheduling for Automated Guided Vehicles (AGV) in blocking job-shops
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Advances in Production Management Systems: The Path to Intelligent, Collaborative and Sustainable Manufacturing. ed. / Ralph Riedel; Klaus-Dieter Thoben; Gregor von Cieminski; Dimitris Kiritsis; Hermann Lodding. Vol. 1 Springer Verlag, 2017. p. 151 - 158 (IFIP Advances in Information and Communication Technology; Vol. 513).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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RIS
TY - CHAP
T1 - Optimal scheduling for Automated Guided Vehicles (AGV) in blocking job-shops
AU - Heger, Jens
AU - Voß, Thomas
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Engineering
KW - AGV
KW - Cyber physical systems
KW - Job Shop Scheduling
KW - MILP
UR - http://www.scopus.com/inward/record.url?scp=85029351026&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-66923-6_18
DO - 10.1007/978-3-319-66923-6_18
M3 - Article in conference proceedings
SN - 978-3-319-66922-9
VL - 1
T3 - IFIP Advances in Information and Communication Technology
SP - 151
EP - 158
BT - Advances in Production Management Systems
A2 - Riedel, Ralph
A2 - Thoben, Klaus-Dieter
A2 - von Cieminski, Gregor
A2 - Kiritsis, Dimitris
A2 - Lodding, Hermann
PB - Springer Verlag
T2 - International Conference on Advances in Production Management Systems
Y2 - 3 September 2017 through 7 September 2017
ER -