Monotone Control of Queueing and Production/Inventory Systems

Weber and Stidham (1987) used submodularity to establish transition monotonicity (a service completion at one station cannot reduce the service rate at another station) for Markovian queueing networks that meet certain regularity conditions and are controlled to minimize service and queueing costs....

Full description

Bibliographic Details
Main Authors: Veatch, Michael H., Wein, Lawrence M.
Format: Working Paper
Language:en_US
Published: Massachusetts Institute of Technology, Operations Research Center 2004
Subjects:
Online Access:http://hdl.handle.net/1721.1/5312
_version_ 1811077908399128576
author Veatch, Michael H.
Wein, Lawrence M.
author_facet Veatch, Michael H.
Wein, Lawrence M.
author_sort Veatch, Michael H.
collection MIT
description Weber and Stidham (1987) used submodularity to establish transition monotonicity (a service completion at one station cannot reduce the service rate at another station) for Markovian queueing networks that meet certain regularity conditions and are controlled to minimize service and queueing costs. We give an extension of monotonicity to other directions in the state space, such as arrival transitions, and to arrival routing problems. The conditions used to establish monotonicity, which deal with the boundary of the state space, are easily verified for many queueing systems. We also show that, without service costs, transition-monotone controls can be described by simple control regions and switching functions, extending earlier results. The theory is applied to production/inventory systems with holding costs at each stage and finished goods backorder costs.
first_indexed 2024-09-23T10:50:12Z
format Working Paper
id mit-1721.1/5312
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T10:50:12Z
publishDate 2004
publisher Massachusetts Institute of Technology, Operations Research Center
record_format dspace
spelling mit-1721.1/53122019-04-10T19:06:23Z Monotone Control of Queueing and Production/Inventory Systems Veatch, Michael H. Wein, Lawrence M. control of queues, dynamic programming, submodularity, monotone policies, production/inventory systems. Weber and Stidham (1987) used submodularity to establish transition monotonicity (a service completion at one station cannot reduce the service rate at another station) for Markovian queueing networks that meet certain regularity conditions and are controlled to minimize service and queueing costs. We give an extension of monotonicity to other directions in the state space, such as arrival transitions, and to arrival routing problems. The conditions used to establish monotonicity, which deal with the boundary of the state space, are easily verified for many queueing systems. We also show that, without service costs, transition-monotone controls can be described by simple control regions and switching functions, extending earlier results. The theory is applied to production/inventory systems with holding costs at each stage and finished goods backorder costs. 2004-05-28T19:33:06Z 2004-05-28T19:33:06Z 1991-08 Working Paper http://hdl.handle.net/1721.1/5312 en_US Operations Research Center Working Paper;OR 257-91 1214972 bytes application/pdf application/pdf Massachusetts Institute of Technology, Operations Research Center
spellingShingle control of queues, dynamic programming, submodularity, monotone policies, production/inventory systems.
Veatch, Michael H.
Wein, Lawrence M.
Monotone Control of Queueing and Production/Inventory Systems
title Monotone Control of Queueing and Production/Inventory Systems
title_full Monotone Control of Queueing and Production/Inventory Systems
title_fullStr Monotone Control of Queueing and Production/Inventory Systems
title_full_unstemmed Monotone Control of Queueing and Production/Inventory Systems
title_short Monotone Control of Queueing and Production/Inventory Systems
title_sort monotone control of queueing and production inventory systems
topic control of queues, dynamic programming, submodularity, monotone policies, production/inventory systems.
url http://hdl.handle.net/1721.1/5312
work_keys_str_mv AT veatchmichaelh monotonecontrolofqueueingandproductioninventorysystems
AT weinlawrencem monotonecontrolofqueueingandproductioninventorysystems