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Performance analysis of repairable system using GA and fuzzy Lambda-Tau methodology
Kumar, Ajay; Sharma, S. P.; Kumar, Dinesh - In: International journal of quality & reliability management 30 (2013) 9, pp. 1017-1032
Persistent link: https://www.econbiz.de/10010197596
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The four Rs performance indicators of water distribution networks : a review of research literature
Gunawan, Indra; Schultmann, Frank; Zarghami, Seyed Ashkan - In: International journal of quality & reliability management 34 (2017) 5, pp. 720-732
Persistent link: https://www.econbiz.de/10011706957
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The emergence and evolution of reliability theory for water distribution networks
Zarghami, Seyed Ashkan; Gunawan, Indra - In: Built Environment Project and Asset Management 11 (2020) 2, pp. 251-265
), researchers have developed a vast array of methods for the reliability analysis of WDNs. In order to follow this growing number of … methods, this paper reviews and documents in one place the historical developments in the reliability analysis of WDN. Design …/methodology/approach A systematic literature review (SLR) is carried out to summarize the state-of-the-art research on reliability analysis …
Persistent link: https://www.econbiz.de/10014677688
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The four Rs performance indicators of water distribution networks
Gunawan, Indra; Schultmann, Frank; Zarghami, Seyed Ashkan - In: International Journal of Quality & Reliability Management 34 (2017) 5, pp. 720-732
water distribution networks (WDNs): reliability, resilience, redundancy and robustness. It then addresses a range of metrics …
Persistent link: https://www.econbiz.de/10014802259
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Parameter Estimation in Water Distribution Networks
Kumar, Shanmugam; Narasimhan, Shankar; Bhallamudi, S. Murty - In: Water Resources Management 24 (2010) 6, pp. 1251-1272
Estimation of pipe roughness coefficients is an important task to be carried out before any water distribution network model is used for online applications such as monitoring and control. In this study, a combined state and parameter estimation model for water distribution networks is...
Persistent link: https://www.econbiz.de/10010998235
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Excat and heuristic methods for integrated supply chain design reliability analysis
Ivanov, Dmitry; Pavlov, Alexander; Sokolov, Boris - In: International journal of integrated supply management : … 10 (2016) 2, pp. 206-224
Persistent link: https://www.econbiz.de/10011641890
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Editorial for the special issue: "Novel solutions and novel approaches in operational research"
Drobne, Samo; Dumičić, Ksenija; Zadnik Stirn, Lidija - In: Business systems research : a system view accross … 11 (2020) 2, pp. 1-6
This special issue of Business Systems Research (SI of the BSR) is co-published by the Slovenian Society INFORMATIKA - Section for Operational Research (SSI-SOR) and highlights recent advances in Operations Research and Management Science (OR /MS), with a focus on linking OR /MS with other areas...
Persistent link: https://www.econbiz.de/10012405630
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Comparison of two network-theory-based methods for detecting functional regions
Drobne, Samo; Garre, Alberto; Hontoria, Eloy; Konjar, Miha - In: Business systems research : a system view accross … 11 (2020) 2, pp. 21-35
Background: Functional regions are abstract, uniformly defined territorial units that form an important basis for many development strategies of a country or a region. Objectives: This study analyses the application of network theory to the detection of such regions. Methods/Approach: Functional...
Persistent link: https://www.econbiz.de/10012405635
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Improved max-flow min-cut algorithms in a circular disk failure model with application to a road network
Otsuki, Kensuke; Kobayashi, Yusuke; Murota, Kazuo - In: European journal of operational research : EJOR 248 (2016) 2, pp. 396-403
Persistent link: https://www.econbiz.de/10011408473
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Stochastic timed Petri nets to dynamically design and simulate industrial production processes
Bortolini, Marco; Faccio, Maurizio; Gamberi, Mauro; … - In: International journal of logistics systems and management 25 (2016) 1, pp. 20-43
Persistent link: https://www.econbiz.de/10011647312