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Approximating the GI/GI/1+GI queue with a nonlinear drift diffusion : hazard rate scaling in heavy traffic
Reed, J. E.
;
Ward, Amy R.
- In:
Mathematics of operations research
33
(
2008
)
3
,
pp. 606-644
Persistent link: https://www.econbiz.de/10003766306
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Asymptotically optimal admission control of a queue with impatient customers
Ward, Amy R.
;
Kumar, Sunil
- In:
Mathematics of operations research
33
(
2008
)
1
,
pp. 167-202
Persistent link: https://www.econbiz.de/10003687634
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Dynamic scheduling of a two-server parallel server system with complete resource pooling and reneging in heavy traffic : asymptotic optimality of a two-threshold policy
Ghamami, Samim
;
Ward, Amy R.
- In:
Mathematics of operations research
38
(
2013
)
4
,
pp. 761-824
Persistent link: https://www.econbiz.de/10010210713
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4
On the control of fork-join networks
Özkan, Erhun
;
Ward, Amy R.
- In:
Mathematics of operations research
44
(
2019
)
2
,
pp. 532-564
Persistent link: https://www.econbiz.de/10012028633
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5
Optimal Control of a High-Volume Assemble-to-Order System
Plambeck, Erica L.
;
Ward, Amy R.
- In:
Mathematics of operations research
31
(
2006
)
3
,
pp. 453-477
Persistent link: https://www.econbiz.de/10007282678
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6
Approximating the GI-GI-1+GI Queue with a Nonlinear Drift Diffusion: Hazard Rate Scaling in Heavy Traffic
Reed, J.E.
;
Ward, Amy R.
- In:
Mathematics of operations research
33
(
2008
)
3
,
pp. 606-644
Persistent link: https://www.econbiz.de/10008096206
Saved in:
7
Asymptotically Optimal Admission Control of a Queue with Impatient Customers
Ward, Amy R.
;
Kumar, Sunil
- In:
Mathematics of operations research
33
(
2008
)
1
,
pp. 167-202
Persistent link: https://www.econbiz.de/10007979894
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8
Fluid limits for multiclass many-server queues with general reneging distributions and head-of-the-line scheduling
Puha, Amber L.
;
Ward, Amy R.
- In:
Mathematics of operations research
47
(
2022
)
2
,
pp. 1192-1228
Persistent link: https://www.econbiz.de/10013365284
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9
Asymptotically optimal appointment schedules
Armony, Mor
;
Atar, Rami
;
Honnappa, Harsha
- In:
Mathematics of operations research
44
(
2019
)
4
,
pp. 1345-1380
Persistent link: https://www.econbiz.de/10012128367
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