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Patrol Officer Scheduling with an Op...
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Taylor, Philip E.
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Patrol Officer Scheduling with an Optimization Based Decision Support System
紀錄類型:
書目-投影資料、錄影資料、電影片 : Monograph/item
正題名/作者:
Patrol Officer Scheduling with an Optimization Based Decision Support System/ Produced by Institute for Operations Research and the Management Sciences
其他作者:
Taylor, Philip E.
出版者:
Providence, RI :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: INFORM/CPMS
叢書名:
Edelman award for management science achievement;
標題:
Management Science -
Patrol Officer Scheduling with an Optimization Based Decision Support System
Patrol Officer Scheduling with an Optimization Based Decision Support System
[videorecording] /Produced by Institute for Operations Research and the Management Sciences - Providence, RI :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.38].
At the head of title on container: INFORM/CPMS
Presentors, Philip E. Taylor, Stephen J. Huxley
million per year to the city treasury.An optimization based decision support system for patrol officer deployment provides analysis of strategic and tactical police options, evaluates schedule changes and deployment scenarios, forecasts hourly officer needs and automatically schedules to fulfill needs, allowing for Ofine tuningO of optimal schedule. The intelligent primal dual integer search procedure produced a 25% increase in patrol units available when needed (equivalent to adding 200 officers or a cost saving of
VCD format.
US120.00Subjects--Topical Terms:
730897
Management Science
Patrol Officer Scheduling with an Optimization Based Decision Support System
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Title on cassette and cassette case : 88.01 City of San Francisco Police Department
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An optimization based decision support system for patrol officer deployment provides analysis of strategic and tactical police options, evaluates schedule changes and deployment scenarios, forecasts hourly officer needs and automatically schedules to fulfill needs, allowing for Ofine tuningO of optimal schedule. The intelligent primal dual integer search procedure produced a 25% increase in patrol units available when needed (equivalent to adding 200 officers or a cost saving of
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$3
million per year to the city treasury.
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