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HASTUS Vehicle and Manpower Scheduli...
~
Blais, Jean-Yves.
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HASTUS Vehicle and Manpower Scheduling at Montreal Urban Community Transit Corporation
紀錄類型:
書目-投影資料、錄影資料、電影片 : Monograph/item
正題名/作者:
HASTUS Vehicle and Manpower Scheduling at Montreal Urban Community Transit Corporation/ Produced by Institute for Operations Research and the Management Sciences.
其他作者:
Blais, Jean-Yves.
出版者:
Linthicum, MD :Institute for Operations Research and the Management Sciences :
面頁冊數:
1 computer laser optical disc :sd., col. ;4 3/4 in.
附註:
At the head of title on container: INFORMS/CPMS
叢書名:
Edelman award for management science achievement;
標題:
Management Science -
HASTUS Vehicle and Manpower Scheduling at Montreal Urban Community Transit Corporation
HASTUS Vehicle and Manpower Scheduling at Montreal Urban Community Transit Corporation
[videorecording] /Produced by Institute for Operations Research and the Management Sciences. - Linthicum, MD :Institute for Operations Research and the Management Sciences - 1 computer laser optical disc :sd., col. ;4 3/4 in. - Edelman award for management science achievement;[v.46].
At the head of title on container: INFORMS/CPMS
Presentors, Jean-Yves Blais, Jacques Lamont, Jean-Marc Rousseau
HASTUS is a comprehensive set of computer tools. HASTUS-Macro uses linear programming to estimate changes in union contracts and service levels; HASTUS-Bus employs network flow methods to generate optimal vehicle schedules; HASTUS-Micro generates operator assignments through specially formulated heuristics and optimal matching algorithms. Annual savings in excess of
VCD format.
US120.00Subjects--Topical Terms:
730897
Management Science
HASTUS Vehicle and Manpower Scheduling at Montreal Urban Community Transit Corporation
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HASTUS is a comprehensive set of computer tools. HASTUS-Macro uses linear programming to estimate changes in union contracts and service levels; HASTUS-Bus employs network flow methods to generate optimal vehicle schedules; HASTUS-Micro generates operator assignments through specially formulated heuristics and optimal matching algorithms. Annual savings in excess of
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