A Bayesian Neural Network Approach to
Synthesising Data for Supply Chain
Optimisation and Simulation Modelling

QR Code

A Bayesian Neural Network Approach to Synthesising Data for Supply Chain Optimisation and Simulation Modelling

The Bayesian learning model developed in this research addressed a need for technology by which complex industry datasets may be synthesised and represents a fundamentally novel approach to this problem than those previously explored in literature. This approach enables the characterisation of compl...

Full description

Bibliographic Details
Main Author:	Taco Arana, Herbert Isaac
Format:	Thesis
Published:	Curtin University 2022
Online Access:	http://hdl.handle.net/20.500.11937/97703

Similar Items

Novel approach for integrated biomass supply chain synthesis and optimisation
by: Hong, Boon Hooi
Published: (2020)

Supply chain flexibility assessment by multivariate regression and neural networks
by: Jeeva, Ananda, et al.
Published: (2010)

Supply chain flexibility assessment by multivariate regression and neural networks
by: Jeeva, Ananda, et al.
Published: (2010)

Portfolio Optimisation: a Bayesian Model Averaging approach
by: Hart, Adao Dante
Published: (2016)

Bayesian inversion of proof pile test: Markov Chain Monte Carlo Simulation approach
by: Harahap, I.S.H., et al.
Published: (2008)

'Bayesian Optimisation for Nurse Scheduling'
by: Aickelin, Uwe, et al.
Published: (2004)

'Bayesian Optimisation for Nurse Scheduling'
by: Aickelin, Uwe, et al.
Published: (2004)

A novel HAZOP approach for literature review on biomass supply chain optimisation model
by: Lim, C., et al.
Published: (2017)

Optimization of supply chain management by simulation based RFID with XBEE Network
by: Soomro, Aftab Ahmed
Published: (2015)

Spatial data supply chains
by: Varadharajulu, P., et al.
Published: (2015)

Spatial Data Supply Chains
by: Varadharajulu, Premalatha, et al.
Published: (2015)

Determining supply chain flexibility using statistics and neural networks: a comparative study
by: Jeeva, Ananda, et al.
Published: (2009)

A research about data-driven simulation approach for Rolls-Royce 150 seater engine supply chain
by: Shi, Shuaijie
Published: (2007)

Development of a new approach for deterministic supply chain network design
by: Bidhandi, Hadi Mohammadi, et al.
Published: (2008)

Modelling the coordinated supply chain network
by: M. E. Seliaman ,, et al.
Published: (2010)

'A Bayesian Optimisation Algorithm for the Nurse Scheduling Problem'
by: Li, Jingpeng, et al.
Published: (2003)

'A Bayesian Optimisation Algorithm for the Nurse Scheduling Problem'
by: Li, Jingpeng, et al.
Published: (2003)

Optimising Value Recovery in Closed-Loop Supply Chains through Analytical Models
by: Naghashan, Mona
Published: (2010)

Optimising Value Recovery in Closed-Loop Supply Chains through Analytical Models
by: Naghashan, Mona
Published: (2010)

SUPPLY CHAIN AND LOGISTICS APPROACH TO SERVITIZATION
by: PAUL, SHALINI
Published: (2015)

LOGISTICS AND SUPPLY CHAIN APPROACH TO SERVITIZATION
by: Shivendra, Mishra
Published: (2013)

Image skin segmentation based on multi-agent learning Bayesian and neural network
by: Aos Alaa, Zaidan, et al.
Published: (2014)

Image skin segmentation based on multi-agent learning Bayesian and neural network
by: Zaidan, A. A., et al.
Published: (2014)

The enhanced model of hyperledger composer supply chain (hcsc) for the product environmental in supply chain networks
by: Arwa Mukhtar, Makki Kanani
Published: (2022)

Bayesian inversion of pile test: Monte Carlo simulation approach
by: Harahap, I.S.H., et al.
Published: (2008)

Designing the distribution network for an integrated supply chain
by: Shu, J., et al.
Published: (2006)

A supply network optimisation with functional clustering of industrial resources
by: Ng, Wendy, et al.
Published: (2014)

Modeling the viscosity of nanofluids using artificial neural network and Bayesian support vector regression
by: Alade, Ibrahim Olanrewaju, et al.
Published: (2020)

Modelling the viscosity of nanofluids using artificial neural network and Bayesian support vector regression
by: Alade, Ibrahim Olanrewaju, et al.
Published: (2020)

Optimised neural network model for river nitrogen prediction utilizing a new training approach
by: Kumar, Pavitra, et al.
Published: (2020)

The role of government to stimulate the sustainability of supply chain management through network-based approach
by: Sharifirad,, et al.
Published: (2016)

Cold supply chain of leafy green vegetables: a social network analysis approach
by: Muhammad Shabir, Shaharudin, et al.
Published: (2023)

A model-based approach for biomass-to-bioproducts supply chain network planning optimization
by: Abdul Halim, Abdul Razik, et al.
Published: (2019)

Implementation of Sustainability Standard into Commodity Supply Chain Networks: A Processual Case Approach
by: Sidikat, Shitu, et al.
Published: (2017)

A relationship approach to construction supply chains
by: Davis, Peter
Published: (2008)

Effect of missing value methods on Bayesian network classification of hepatitis data
by: Nazziwa Aisha,, et al.
Published: (2013)

Bayesian Networks With Greedy Backward Elimination In Feature Selection For Data Classification
by: Ang, Sau Loong
Published: (2019)

Simulation of a supply chain game with multiple fuzzy goals
by: Yuh-Wen, Chen, et al.
Published: (2010)

Simulation model for effective supply chain management using arena
by: Hashim, Mohd Nurhanif
Published: (2008)

Towards supply chain excellence using network analysis
by: Alexander, Paul, et al.
Published: (2011)