DocumentCode :
2015886
Title :
MILP model for multi-product, multi-part and multi-hoist cycle shops
Author :
Steneberg, S.C.
Author_Institution :
Inst. of Autom., Hamburg Univ. of Technol., Hamburg, Germany
fYear :
2013
fDate :
25-28 Feb. 2013
Firstpage :
1339
Lastpage :
1346
Abstract :
This paper addresses the cyclic multi-hoist scheduling problem. The problem arises in automated electroplating lines where multiple hoists are operating on a shared track. A number of parts are processed periodically and are categorized in different types of products. For each type of product a different processing sequence and processing time windows are supported. All parts of the same product are identical. A different number of parts for each product within a cycle is possible. The general processing sequences may be different from the location sequence of the tanks and multi functional resources are considered. A multi-degree cyclic mixed integer linear programming (MILP) model for optimizing the cycle time is presented, considering in particular the spacial dimensions of hoists and their collision. There are no restrictions concerning the start and end of loaded or empty hoist moves. The collision avoidance is formulated with the help of spacial relations of the movement. The model supports fixed and processing times with time windows.
Keywords :
electroplating; hoists; industrial robots; integer programming; linear programming; process control; resource allocation; semiconductor industry; tanks (containers); MILP model; automated electroplating lines; cycle time optimization; cyclic multihoist scheduling problem; empty hoist moves; loaded hoist moves; multidegree cyclic mixed integer linear programming model; multifunctional resource location sequence; multihoist cycle shops; multipart cycle shops; multiproduct cycle shops; parts categorization; processing sequence; processing time windows; robotic cycle shop; tank location sequence; Collision avoidance; Indexes; Job shop scheduling; Load modeling; Mixed integer linear programming; Schedules; Tracking; MILP; Mixed Integer Linear Programming; Multi Functional Resources; Multi Hoist Scheduling; Multi Part; Multi Product; Robotic Cycle Shop; Spacial Relations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology (ICIT), 2013 IEEE International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-4673-4567-5
Electronic_ISBN :
978-1-4673-4568-2
Type :
conf
DOI :
10.1109/ICIT.2013.6505867
Filename :
6505867
Link To Document :
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