Search Results - (( developing chain model algorithm ) OR ( java implication based algorithm ))
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Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty
Published 2024“…Given the NP-Hard nature of the three models proposed in this thesis, two metaheuristic algorithms have been developed. …”
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Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm
Published 2015“…This proves the capability of the developed hybrid algorithm in solving the formulated model.…”
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4
Aplikasi rangkaian neural dalam pengesanan simpang bagi penterjemah lakaran pintar
Published 2006“…The neural network package in Matlab software was used by this artificial intelligent method to develop a neural network classifier. Back propagation neural network algorithm was used to develop and produce the classifier for corner detector algorithm. …”
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Development of a multi-objective optimization model for transport and environment in a closed-loop automotive supply chain
Published 2014“…Therefore, various meta-heuristic algorithms have been tried by researchers. In this research, a new Multi-Objective Logistics Network Model for Automotive Closed-Loop Supply Chain (MOACLSC) for recovering ELVs was developed. …”
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Development of bi-objective optimization model for supply chain network design using data envelopment analysis
Published 2017“…The developed model and solution method show excellence performance in terms of CPU time for the large scale. …”
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Forecast innovative development level in green supply chains using a comprehensive fuzzy algorithm
Published 2022“…Technology advancements are essential to creating a successful green supply chain. Both internal and external features can influence a business's innovative development; thus, there must be relationships between these aspects for Innovative Development to succeed. …”
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Development Of Performance Evaluation And Prediction Models In Logistics Service And Supply Networks Towards A Sustainable And Robust Supply Chain
Published 2022“…The main objective of this research is to develop an optimization model for a novel network data envelopment analysis and machine learning algorithms. …”
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Development of online appointment system using forward chaining algorithm for Student and lecturer in FTMSK / Sharizal Sharif
Published 2007“…Methodology approach used for progression phase is SDLC method and used Decision Support System model to design and develop the system prototype. …”
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Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi
Published 2018“…As the mixed integer nonlinear model of the problem was complicated to solve using exact methods, several meta-heuristic algorithms were employed in to optimize the models under investigation. …”
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Development of location-inventory model based on all-unit quantity discount policy
Published 2011“…In order to solve the model, two heuristics and one enumeration algorithm are developed. …”
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Development of a new approach for deterministic supply chain network design
Published 2008“…This paper proposes a mixed integer linear programming model and solution algorithm for solving supply chain network design problems in deterministic, multi-commodity, single-period contexts. …”
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Hierarchical Bayesian estimation for stationary autoregressive models using reversible jump MCMC algorithm
Published 2018“…The reversible jump Markov Chain Monte Carlo (MCMC) algorithm is proposed to obtain the Bayesian estimator. …”
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An optimization approach for a joint location inventory model considering quantity discount policy
Published 2013“…An efficient two-stage heuristic algorithm is developed to solve the model. Numerical experiments show the efficiency of the proposed algorithm.…”
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Development of closed–loop supply chain network in terms of corporate social responsibility
Published 2017“…One efficient way to elevate sustainability is the consideration of corporate social responsibility (CSR) by designing a closed loop supply chain (CLSC). This paper has developed a mathematical model to increase corporate social responsibility in terms of job creation. …”
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PREDICTING THE PRICE OF COTTON USING RNN AND LSTM
Published 2020“…The accuracy of each machine learning algorithm will be recorded and analyze to come up with the best model for the dataset. …”
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Development of two matheuristics for production-inventory-distribution routing problem / Dicky Lim Teik Kyee
Published 2018“…We propose an optimization algorithm designed by the interpolation of metaheuristics and mathematical programming techniques, known as MatHeuristics algorithm, to solve the model. …”
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Development of Closed–Loop Supply Chain Network in Terms of Corporate Social Responsibility
Published 2017“…One efficient way to elevate sustainability is the consideration of corporate social responsibility (CSR) by designing a closed loop supply chain (CLSC). This paper has developed a mathematical model to increase corporate social responsibility in terms of job creation. …”
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Development of cost reduction mathematical model for natural gas transmission network system
Published 2012“…To achieve this, other objectives were targeted such as, to design a multi-echelon supply chain for the NGTSCs, to develop Extended Genetic Algorithms (EGAs), for solving the model, and to validate the mathematical model with a real world case study in natural gas industry. …”
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A comprehensive model for determining technological innovation level in supply chains using green investment, eco-friendly design and customer collaborations factors
Published 2022“…Then, in the last phase (phase 3), the developed model will be used to predict the technological level of supply chains. …”
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