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The Capacitated Reliable Fixed-charg...
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Yu, Rui.
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The Capacitated Reliable Fixed-charge Location Problem: Model and Algorithm.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The Capacitated Reliable Fixed-charge Location Problem: Model and Algorithm./
作者:
Yu, Rui.
面頁冊數:
34 p.
附註:
Source: Masters Abstracts International, Volume: 54-03.
Contained By:
Masters Abstracts International54-03(E).
標題:
Industrial engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1583201
ISBN:
9781321537482
The Capacitated Reliable Fixed-charge Location Problem: Model and Algorithm.
Yu, Rui.
The Capacitated Reliable Fixed-charge Location Problem: Model and Algorithm.
- 34 p.
Source: Masters Abstracts International, Volume: 54-03.
Thesis (M.S.)--Lehigh University, 2015.
Many classical facility location models, like the uncapacitated fixed-charge location problem (known as UFLP), implicitly assume that the facilities will operate well all the time. However, in fact, facilities may fail sometimes due to natural or economic factors. The reliability fixed-charge location problem (RFLP) is based on the UFLP, taking failures into account. Both the UFLP and the RFLP assume that facilities are uncapacitated, which is obviously not true in reality. Capacity limits in reality may mean that customers have to be served from facilities much farther than their egularly assigned facilities at dierent levels. In this thesis, we present a model for choosing facility locations to minimize expected cost, while also taking into account both the possible failures and the capacity of facilities. The goal is to choose facility locations that are both inexpensive under traditional objective functions and also reliable under capacity constraints. This capacitated reliability approach is new in the facility location literature. We formulate a capacitated reliability model based on the RFLP and present an exact Lagrangian relaxation algorithm to solve it.
ISBN: 9781321537482Subjects--Topical Terms:
526216
Industrial engineering.
The Capacitated Reliable Fixed-charge Location Problem: Model and Algorithm.
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Many classical facility location models, like the uncapacitated fixed-charge location problem (known as UFLP), implicitly assume that the facilities will operate well all the time. However, in fact, facilities may fail sometimes due to natural or economic factors. The reliability fixed-charge location problem (RFLP) is based on the UFLP, taking failures into account. Both the UFLP and the RFLP assume that facilities are uncapacitated, which is obviously not true in reality. Capacity limits in reality may mean that customers have to be served from facilities much farther than their egularly assigned facilities at dierent levels. In this thesis, we present a model for choosing facility locations to minimize expected cost, while also taking into account both the possible failures and the capacity of facilities. The goal is to choose facility locations that are both inexpensive under traditional objective functions and also reliable under capacity constraints. This capacitated reliability approach is new in the facility location literature. We formulate a capacitated reliability model based on the RFLP and present an exact Lagrangian relaxation algorithm to solve it.
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