Search Results - (( program chain model algorithm ) OR ( java implication based algorithm ))
Search alternatives:
- implication based »
- java implication »
- model algorithm »
- program chain »
-
1
Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty
Published 2024“…The first model is a fuzzy chanceconstrained programming model that considers factors such as cost, out-of-stock inventory, carbon trading mechanisms, and fuzzy customer demand. …”
Get full text
Get full text
Get full text
Thesis -
2
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. …”
Get full text
Get full text
Thesis -
3
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. …”
Get full text
Get full text
Get full text
Thesis -
4
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. …”
Get full text
Get full text
Get full text
Article -
5
Integrated supply chain planning under uncertainty using an improved stochastic approach
Published 2011“…The stochastic supply chain network design model is provided as a two-stage stochastic program where the two stages in the decision-making process correspond to the strategic and tactical decisions. …”
Get full text
Get full text
Get full text
Article -
6
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. …”
Get full text
Get full text
Get full text
Thesis -
7
A Simulated Annealing Approach to Solve Fuzzy Multi-Objective Linear Model for Supplier Selection in a Supply Chain
Published 2010“…During this project a fuzzy Multi-objective linear model is developed to achieve three important goals: Cost minimization, Quality maximization and Service level maximization and further it is converted into crisp single objective programming model using membership functions of the three objectives. …”
Get full text
Get full text
Conference or Workshop Item -
8
Leveraging Web Scraping in Predictive Modelling of Supply Risk Detection
Published 2022“…The significance of the extracted output is evaluated with the topic modelling algorithm (LDA model algorithm) for the purpose of predictive supply risk. …”
Get full text
Get full text
Get full text
Final Year Project Report / IMRAD -
9
Development of closed–loop supply chain network in terms of corporate social responsibility
Published 2017“…A proposed multi-objective mixed-integer linear programming (MILP) model was solved with non-dominated sorting genetic algorithm II (NSGA-II). …”
Get full text
Get full text
Get full text
Article -
10
Development of Closed–Loop Supply Chain Network in Terms of Corporate Social Responsibility
Published 2017“…A proposed multi-objective mixed-integer linear programming (MILP) model was solved with non-dominated sorting genetic algorithm II (NSGA-II). …”
Get full text
Get full text
Get full text
Article -
11
-
12
-
13
-
14
Statistical approach on grading: mixture modeling
Published 2006“…The Gibbs sampler algorithm is applied using the WinBUGS programming package. …”
Get full text
Get full text
Thesis -
15
Reverse logistics network optimizing by genetic algorithm: a case study of automotive wiring harnesses
Published 2014“…Thus, an evolutionary algorithm based genetic algorithm (GA) is applied as a solution methodology to solve mixed integer linear programming model and find the optimum solution. …”
Get full text
Get full text
Get full text
Article -
16
-
17
Leaf condition analysis using convolutional neural network and vision transformer
Published 2024“…Through the use of a hybrid deep learning model that combines vision transformer and convolutional neural networks for classification, the algorithm can be optimized. …”
Get full text
Get full text
Get full text
Article -
18
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. …”
Get full text
Get full text
Thesis -
19
-
20
Modified ant colony optimization algorithms for deterministic and stochastic inventory routing problems / Lily Wong
Published 2018“…The computational results also show that the algorithms of population based ACO performs better than the algorithms of non-population based ACO. …”
Get full text
Get full text
Get full text
Thesis
