Mathematical formulation for mobile robot scheduling problem in a manufacturing cell.

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5 Citationer (Scopus)

Abstrakt

This paper deals with the problem of finding optimal feeding sequence in a manufacturing cell with feeders fed by a mobile robot with manipulation arm. The performance criterion is to minimize total traveling time of the robot in a given planning horizon. Besides, the robot has to be scheduled in order to keep production lines within the cell working without any shortage of parts fed from feeders. A mixed-integer programming (MIP) model is developed to find the optimal solution for the problem. In the MIP formulation, a method based on the (s, Q) inventory system is applied to define time windows for multiple-part feeding tasks. A case study is implemented at an impeller production line in a factory to demonstrate the result of the proposed MIP model.
OriginalsprogEngelsk
TitelAdvances in Production Management Systems : Value Networks: Innovation, Technologies, and Management IFIP AICT, 384.
RedaktørerJan Frick, Bjørge Timenes Laugen
Vol/bind2012
ForlagSpringer
Publikationsdato2012
Udgave1
Sider37-44
ISBN (Trykt)978-3-642-33979-0
ISBN (Elektronisk)978-3-642-33980-6
DOI
StatusUdgivet - 2012
BegivenhedIFIP WG 5.7 International Conference: Advances in Production Management Systems - Stavanger, Norge
Varighed: 26 sep. 201128 sep. 2011

Konference

KonferenceIFIP WG 5.7 International Conference: Advances in Production Management Systems
LandNorge
ByStavanger
Periode26/09/201128/09/2011
NavnIFIP AICT - Advances in Information and Communication technology
ISSN1868-4238

Citationsformater

Dang, V. Q., Nielsen, I. E., & Steger-Jensen, K. (2012). Mathematical formulation for mobile robot scheduling problem in a manufacturing cell. I J. Frick, & B. Timenes Laugen (red.), Advances in Production Management Systems: Value Networks: Innovation, Technologies, and Management IFIP AICT, 384. (1 udg., Bind 2012, s. 37-44). Springer. IFIP AICT - Advances in Information and Communication technology https://doi.org/10.1007/978-3-642-33980-6