Retraction notice to “A Carbon-Sensitive Two-Echelon-Inventory Supply Chain Model with Stochastic Demand: A Genetic Algorithm Approach”

Resources Conservation and Recycling ◽

10.1016/j.resconrec.2020.105141 ◽

2020 ◽

Vol 163 ◽

pp. 105141

Author(s):

Malek Abu Alhaj ◽

Davor Svetinovic ◽

Ali Diabat

Keyword(s):

Genetic Algorithm ◽

Supply Chain ◽

Stochastic Demand ◽

Chain Model ◽

Supply Chain Model ◽

Genetic Algorithm Approach ◽

Retraction Notice

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Adaptive Hybrid Genetic Algorithm Approach for Optimizing Closed-Loop Supply Chain Model

Journal of the Korea Industrial Information Systems Research ◽

10.9723/jksiis.2017.22.2.079 ◽

2017 ◽

Vol 22 (2) ◽

pp. 79-89

Author(s):

YoungSu Yun ◽

Anudari Chuluunsukh ◽

Xing Chen

Keyword(s):

Genetic Algorithm ◽

Supply Chain ◽

Closed Loop ◽

Hybrid Genetic Algorithm ◽

Chain Model ◽

Closed Loop Supply Chain ◽

Supply Chain Model ◽

Genetic Algorithm Approach

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Optimization of Closed-Loop Supply Chain Model Using Hybrid Genetic Algorithm Approach for Tire Industry in Korea

Proceedings of the Twelfth International Conference on Management Science and Engineering Management - Lecture Notes on Multidisciplinary Industrial Engineering ◽

10.1007/978-3-319-93351-1_125 ◽

2018 ◽

pp. 1593-1612

Author(s):

Xing Chen ◽

Anudari Chuluunsukh ◽

YoungSu Yun ◽

Mitsuo Gen

Keyword(s):

Genetic Algorithm ◽

Supply Chain ◽

Closed Loop ◽

Hybrid Genetic Algorithm ◽

Chain Model ◽

Closed Loop Supply Chain ◽

Tire Industry ◽

Supply Chain Model ◽

Genetic Algorithm Approach

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Hybrid Genetic Algorithm Approach using Closed-Loop Supply Chain Model

Journal of the Korea Industrial Information Systems Research ◽

10.9723/jksiis.2016.21.4.031 ◽

2016 ◽

Vol 21 (4) ◽

pp. 31-41

Author(s):

YoungSu Yun ◽

Chuluunsukh Anudari ◽

Xing Chen

Keyword(s):

Genetic Algorithm ◽

Supply Chain ◽

Closed Loop ◽

Hybrid Genetic Algorithm ◽

Chain Model ◽

Closed Loop Supply Chain ◽

Supply Chain Model ◽

Genetic Algorithm Approach

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Erratum to “A genetic algorithm approach for solving a closed loop supply chain model: A case of battery recycling” [Appl. Math. Modell. 34 (2010) 655–670]

Applied Mathematical Modelling ◽

10.1016/j.apm.2011.05.026 ◽

2011 ◽

Vol 35 (12) ◽

pp. 5921-5932 ◽

Author(s):

N. Ramkumar ◽

P. Subramanian ◽

T.T. Narendran ◽

K. Ganesh

Keyword(s):

Genetic Algorithm ◽

Supply Chain ◽

Closed Loop ◽

Chain Model ◽

Closed Loop Supply Chain ◽

Battery Recycling ◽

Supply Chain Model ◽

Genetic Algorithm Approach ◽

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A genetic algorithm approach for solving a closed loop supply chain model: A case of battery recycling

Applied Mathematical Modelling ◽

10.1016/j.apm.2009.06.021 ◽

2010 ◽

Vol 34 (3) ◽

pp. 655-670 ◽

Author(s):

G. Kannan ◽

P. Sasikumar ◽

K. Devika

Keyword(s):

Genetic Algorithm ◽

Supply Chain ◽

Closed Loop ◽

Chain Model ◽

Closed Loop Supply Chain ◽

Battery Recycling ◽

Supply Chain Model ◽

Genetic Algorithm Approach

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A hybrid of genetic algorithm and particle swarm optimization for solving bi-level linear programming problem – A case study on supply chain model

Applied Mathematical Modelling ◽

10.1016/j.apm.2011.02.008 ◽

2011 ◽

Vol 35 (8) ◽

pp. 3905-3917 ◽

Author(s):

R.J. Kuo ◽

Y.S. Han

Keyword(s):

Genetic Algorithm ◽

Linear Programming ◽

Particle Swarm Optimization ◽

Supply Chain ◽

Programming Problem ◽

Linear Programming Problem ◽

Chain Model ◽

Swarm Optimization ◽

Supply Chain Model

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Study on Supply Chain Model with Stochastic Demand, Rework, Trade-credit, Variable Transportation Cost and Lead-time Dependent Ordering Cost Reduction

New Approaches in Engineering Research Vol. 9 ◽

10.9734/bpi/naer/v9/2539f ◽

2021 ◽

pp. 132-140

Author(s):

Monami Das Roy

Keyword(s):

Supply Chain ◽

Cost Reduction ◽

Lead Time ◽

Trade Credit ◽

Stochastic Demand ◽

Transportation Cost ◽

Time Dependent ◽

Chain Model ◽

Supply Chain Model ◽

Ordering Cost Reduction

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RETRACTED: A carbon-sensitive two-echelon-inventory supply chain model with stochastic demand

Resources Conservation and Recycling ◽

10.1016/j.resconrec.2015.11.011 ◽

2016 ◽

Vol 108 ◽

pp. 82-87 ◽

Author(s):

Malek Abu Alhaj ◽

Davor Svetinovic ◽

Ali Diabat

Keyword(s):

Supply Chain ◽

Stochastic Demand ◽

Chain Model ◽

Supply Chain Model

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Modeling Dual-Channel Supply Chain Based on Fuzzy System and Genetic Algorithm

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems ◽

10.1142/s0218488517500258 ◽

2017 ◽

Vol 25 (04) ◽

pp. 573-598

Author(s):

Amin Mahmoudi ◽

Hassan Shavandi ◽

Mohammad Reza Vakili

Keyword(s):

Genetic Algorithm ◽

Supply Chain ◽

Fuzzy System ◽

Fuzzy Systems ◽

Test Problems ◽

Chain Model ◽

Dual Channel ◽

Supply Chain Model ◽

Hybrid Solution ◽

Dual Channel Supply Chain

In this paper, we have proposed a dual-channel supply chain model in uncertain environment to analyze the demand of manufacturer and retailer demand in which the profit being maximized. Linguistic terms are also utilized to establish two fuzzy systems for estimating the demand in direct and retail channels. In order to do that, a mathematical model is proposed based on decentralized situation of supply chain. To solve the model, we have developed a hybrid solution method of genetic algorithm, fuzzy system, and L-P metric. Finally, several test problems are first generated; then, the computational results are analyzed.

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Converging linear particle swarm optimization and intelligent genetic algorithm for a simple multi-echelon distribution and multi-product inventory control in a supply chain model

Journal of Information and Optimization Sciences ◽

10.1080/02522667.2009.10699936 ◽

2009 ◽

Vol 30 (6) ◽

pp. 1209-1239 ◽

Author(s):

Chie-Bein Chen ◽

Kun-Shan Chang ◽

Chung-Chang Lien

Keyword(s):

Genetic Algorithm ◽

Particle Swarm Optimization ◽

Supply Chain ◽

Inventory Control ◽

Particle Swarm ◽

Chain Model ◽

Swarm Optimization ◽

Supply Chain Model ◽

Product Inventory ◽

Intelligent Genetic Algorithm

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