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A case study on sample average approximation method for stochastic supply chain network design problem

Yuan WANG, Ruyan SHOU, Loo Hay LEE, Ek Peng CHEW

Frontiers of Engineering Management 2017, Volume 4, Issue 3, Pages 338-347 doi: 10.15302/J-FEM-2017032

Abstract: We analyze the impact of uncertainty on demand based on actual large data from industrial companies.average approximation (SAA) with Bayesian bootstrap, and Latin hypercube sampling were adopted to analyze stochasticnetwork with front-ends in Europe and back-ends in Asia is presented to highlight the importance of stochastic

Keywords： supply chain network stochastic demand sampling average approximation Bayesian bootstrap Latin hypercube

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Special Column on Multiscale Stochastic Finite Element Method

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2, Pages 105-106 doi: 10.1007/s11709-015-0297-7

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Stochastic analysis of laminated composite plate considering stochastic homogenization problem

S. SAKATA,K. OKUDA,K. IKEDA

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2, Pages 141-153 doi: 10.1007/s11709-014-0286-2

Abstract: This paper discusses a multiscale stochastic analysis of a laminated composite plate consisting of unidirectionalLaminated composites are widely used in civil engineering, and therefore multiscale stochastic analysisThis study deals with the stochastic response of a laminated composite plate against the microscopicrandom variation in addition to a random variation of fiber orientation in each lamina, and stochasticFrom the numerical results, importance of the multiscale stochastic analysis for reliability evaluation

Keywords： stochastic homogenization multiscale stochastic analysis microscopic random variation laminated composite

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Application of an efficient stochastic calculation method on the seismic analysis of an isolated structure

Wei GUO, Zhiwu YU

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 4, Pages 379-384 doi: 10.1007/s11709-012-0180-8

Abstract: Based on this drawback, a new, more efficient stochastic calculation method, an improvement on the pseudo-excitationshown that the presented method can produce accurate results while increasing the efficiency of the stochastic

Keywords： isolated structure stochastic response non-proportional damping efficient accurate pseudo-excitation

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Hierarchical modeling of stochastic manufacturing and service systems

Zhe George ZHANG, Xiaoling YIN

Frontiers of Engineering Management 2017, Volume 4, Issue 3, Pages 295-303 doi: 10.15302/J-FEM-2017047

Abstract: This paper presents a review of methodologies for analyzing stochastic manufacturing and service systemsOn the basis of the scale and level of details of operations, we can study stochastic systems using microSuch a classification unifies stochastic modeling theory.

Keywords： stochastic modeling QBD process PH distribution heavy traffic limits diffusion process

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Discrete-event stochastic systems with correlated inputs: Modeling and performance evaluation

Frontiers of Engineering Management 2022, Volume 9, Issue 2, Pages 214-220 doi: 10.1007/s42524-022-0192-6

Abstract: In the majority of the previous works on discrete-event stochastic systems, they have been assumed toand we discuss the difficulties and possible future research topics in the study of discrete-event stochastic

Keywords： discrete-event stochastic system correlated input performance evaluation

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Applying the spectral stochastic finite element method in multiple-random field RC structures

Abbas YAZDANI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4, Pages 434-447 doi: 10.1007/s11709-022-0820-6

Abstract: This paper uses the spectral stochastic finite element method (SSFEM) for analyzing reinforced concrete

Keywords： uncertainty spectral stochastic finite element method correlation length reliability assessment reinforced

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Understanding the demand predictability of bike share systems: A station-level analysis

Frontiers of Engineering Management Pages 551-565 doi: 10.1007/s42524-023-0279-8

Abstract: Predicting demand for bike share systems (BSSs) is critical for both the management of an existing BSSWhile researchers have mainly focused on improving prediction accuracy and analysing demand-influencingUsing Divvy bike-share one-year data from Chicago, USA, we measured demand entropy and quantified thesome stations exhibit high uncertainty (a low entropy of 0.65) and others have almost no check-out demandFindings from this study provide more fundamental understanding of BSS demand prediction, which can help

Keywords： bike share systems demand prediction prediction errors machine learning entropy

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Review of stochastic optimization methods for smart grid

S. Surender REDDY, Vuddanti SANDEEP, Chan-Mook JUNG

Frontiers in Energy 2017, Volume 11, Issue 2, Pages 197-209 doi: 10.1007/s11708-017-0457-7

Abstract: It gives an idea about stochastic programming (SP) and discusses the formulations given by different

Keywords： renewable energy sources stochastic optimization smart grid uncertainty optimal power flow (OPF)

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Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2, Pages 204-212 doi: 10.1007/s11783-011-0364-9

Abstract: A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demandIn the demand coverage method, the demand coverage of each set of monitoring stations is calculated byaccumulating their demand coverage under each demand pattern, and the impact of temporal distributionbetween different time periods or demand patterns is ignored.To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method.

Keywords： demand coverage monitoring optimization water distribution network water quality

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An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural

P. ZAKIAN

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 4, Pages 470-479 doi: 10.1007/s11709-017-0440-8

Abstract: Since a lot of engineering problems are along with uncertain parameters, stochastic methods are of greatIn this study, the stochastic dynamic analysis of soil mass is performed by finite element method inTwo methods are used for stochastic analysis of soil media which are spectral decomposition and Monte

Keywords： stochastic analysis random seismic excitation finite element method artificial neural network frequency

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Robust train speed trajectory optimization: A stochastic constrained shortest path approach

Li WANG, Lixing YANG, Ziyou GAO, Yeran HUANG

Frontiers of Engineering Management 2017, Volume 4, Issue 4, Pages 408-417 doi: 10.15302/J-FEM-2017042

Abstract: The problem of interest is formulated as a stochastic constrained shortest path problem with travel time

Keywords： train speed trajectory optimization railway operation stochastic programming

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Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Frontiers in Energy 2014, Volume 8, Issue 1, Pages 31-40 doi: 10.1007/s11708-014-0296-8

Abstract: This paper applies time series methodologies to examine the causal relationship among electricity demandMoreover, there is a bi-directional Granger causality flow between real per capita GDP and electricity demand; while labor force does not Granger-cause neither real per capita GDP nor electricity demand.This implies that electricity demand and economic growth are jointly determined at the same time for

Keywords： energy policies electricity demand GDP labor force stationarity structural breaks cointegration causality

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Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

Frontiers in Energy 2010, Volume 4, Issue 4, Pages 459-468 doi: 10.1007/s11708-010-0119-5

Abstract: An assessment of the energy demand and the potential for sector-based emission reductions will provideIn this paper, Beijing was selected as a special case for analysis in order to assess the energy demandResults show that in the high motorization-oriented pattern scenario, total energy demand is about 13.94%On the other hand, in the bus and rail transit-oriented scenario, total energy demand is about 11.57%

Keywords： scenario analysis urban traffic pattern energy demand reduction potential

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Analysis of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent

Pankaj SHARMA,Ajai JAIN

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4, Pages 380-389 doi: 10.1007/s11465-014-0315-9

Abstract:

Stochastic dynamic job shop scheduling problem with consideration of sequence-dependent setup timesA discrete event simulation model of a stochastic dynamic job shop manufacturing system is developed

Keywords： scheduling stochastic dynamic job shop sequence-dependent setup times dispatching rule simulation

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Title Author Date Type Operation

A case study on sample average approximation method for stochastic supply chain network design problem

Yuan WANG, Ruyan SHOU, Loo Hay LEE, Ek Peng CHEW

Journal Article

Special Column on Multiscale Stochastic Finite Element Method

Journal Article

Stochastic analysis of laminated composite plate considering stochastic homogenization problem

S. SAKATA,K. OKUDA,K. IKEDA

Journal Article

Application of an efficient stochastic calculation method on the seismic analysis of an isolated structure

Wei GUO, Zhiwu YU

Journal Article

Hierarchical modeling of stochastic manufacturing and service systems

Zhe George ZHANG, Xiaoling YIN

Journal Article

Discrete-event stochastic systems with correlated inputs: Modeling and performance evaluation

Journal Article

Applying the spectral stochastic finite element method in multiple-random field RC structures

Abbas YAZDANI

Journal Article

Understanding the demand predictability of bike share systems: A station-level analysis

Journal Article

Review of stochastic optimization methods for smart grid

S. Surender REDDY, Vuddanti SANDEEP, Chan-Mook JUNG

Journal Article

Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Journal Article

An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural

P. ZAKIAN

Journal Article

Robust train speed trajectory optimization: A stochastic constrained shortest path approach

Li WANG, Lixing YANG, Ziyou GAO, Yeran HUANG

Journal Article

Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Journal Article

Scenario analysis of the energy demand and CO