Published January 2007 | Version v1
Journal article

Improving efficiency of solving d-MC problem in stochastic-flow network

  • 1. College of Energy Resource and Safety Engineering, China University of Mining and Technology, Xuzhou 221008 (China)
  • 2. Department of Computer Science, Xuzhou Normal University, Xuzhou 221116 (China)

Description

Solving d-MC problem is often a tedious process. Three ways are suggested to improve the efficiency of solving d-MC problem. The first way is to make the best use of some special properties of network. A property of Network with Joint Parallel Part, which is more common than series-parallel network, is illustrated. The second way is to reduce the number of d-MC candidates and then to reduce the cost of testing. Two theorems on how to find the d-MCs with only one element unsaturated and on how to set the Lower Capacity Limits (LCLs) of elements to some values higher than zero are proved. These two theorems will be helpful to reduce d-MC candidates without any loss of real d-MC. The third way is to efficiently remove the duplicated d-MCs. A theorem, elucidating which Minimal Cuts (MCs) the duplicated d-MCs will be generated from, is proved. Finally, an algorithm is proposed by adding a pre-numerating step to the algorithm presented in Yeh [A new approach to the d-MC problem. Reliab Eng Syst Safety 2002;77(2):201-6], and two examples are employed to illustrate the proposed algorithm, especially the pre-numerating step

Additional details

Identifiers

DOI
10.1016/j.ress.2005.11.006;
PII
S0951-8320(05)00215-2;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
92
Journal Issue
1
Journal Page Range
p. 30-39
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
38013136
Subject category
S42: ENGINEERING;
Descriptors DEI
ALGORITHMS; CAPACITY; COST; EFFICIENCY; SAFETY; TESTING
Descriptors DEC
MATHEMATICAL LOGIC

Optional Information

Copyright
Copyright (c) 2005 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.