This paper aims to build closed loop supply chain model (CLSCM) and propose a multi-objective genetic algorithm. This paper designs the method of calculation for a solution using optimization algorithms with the priority-based genetic algorithm (priGA), and Adaptive Weight Approach (AWA).In this paper, we present a multi-objective closed loop supply chain model in integrated logistics system. We formulated a mathematical model with two objectives functions: (1) minimize transportation cost, open cost, inventory cost, purchase cost, disposal cost and saving cost of integrated facilities of CLSCM, (2) minimize the delivery time tardiness in all periods. Finally, a simulation is investigated to demonstrate the applicability of the proposed multi-objective closed loop supply chain model (CLSCM) and solution approaches.
| Published in |
International Journal of Intelligent Information Systems (Volume 4, Issue 2-1)
This article belongs to the Special Issue Logistics Optimization Using Evolutionary Computation Techniques |
| DOI | 10.11648/j.ijiis.s.2015040201.11 |
| Page(s) | 1-6 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Closed-Loop Supply Chain, Logistics Cost Accounting, Genetic Algorithm
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APA Style
Lee Jeongeun, Rhee Kyonggu. (2015). Optimization of Closed-Loop Supply Chain Problem for Calculation Logistics Cost Accounting. International Journal of Intelligent Information Systems, 4(2-1), 1-6. https://doi.org/10.11648/j.ijiis.s.2015040201.11
ACS Style
Lee Jeongeun; Rhee Kyonggu. Optimization of Closed-Loop Supply Chain Problem for Calculation Logistics Cost Accounting. Int. J. Intell. Inf. Syst. 2015, 4(2-1), 1-6. doi: 10.11648/j.ijiis.s.2015040201.11
AMA Style
Lee Jeongeun, Rhee Kyonggu. Optimization of Closed-Loop Supply Chain Problem for Calculation Logistics Cost Accounting. Int J Intell Inf Syst. 2015;4(2-1):1-6. doi: 10.11648/j.ijiis.s.2015040201.11
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Download@article{10.11648/j.ijiis.s.2015040201.11,
author = {Lee Jeongeun and Rhee Kyonggu},
title = {Optimization of Closed-Loop Supply Chain Problem for Calculation Logistics Cost Accounting},
journal = {International Journal of Intelligent Information Systems},
volume = {4},
number = {2-1},
pages = {1-6},
doi = {10.11648/j.ijiis.s.2015040201.11},
url = {https://doi.org/10.11648/j.ijiis.s.2015040201.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.s.2015040201.11},
abstract = {This paper aims to build closed loop supply chain model (CLSCM) and propose a multi-objective genetic algorithm. This paper designs the method of calculation for a solution using optimization algorithms with the priority-based genetic algorithm (priGA), and Adaptive Weight Approach (AWA).In this paper, we present a multi-objective closed loop supply chain model in integrated logistics system. We formulated a mathematical model with two objectives functions: (1) minimize transportation cost, open cost, inventory cost, purchase cost, disposal cost and saving cost of integrated facilities of CLSCM, (2) minimize the delivery time tardiness in all periods. Finally, a simulation is investigated to demonstrate the applicability of the proposed multi-objective closed loop supply chain model (CLSCM) and solution approaches.},
year = {2015}
}
TY - JOUR T1 - Optimization of Closed-Loop Supply Chain Problem for Calculation Logistics Cost Accounting AU - Lee Jeongeun AU - Rhee Kyonggu Y1 - 2015/01/29 PY - 2015 N1 - https://doi.org/10.11648/j.ijiis.s.2015040201.11 DO - 10.11648/j.ijiis.s.2015040201.11 T2 - International Journal of Intelligent Information Systems JF - International Journal of Intelligent Information Systems JO - International Journal of Intelligent Information Systems SP - 1 EP - 6 PB - Science Publishing Group SN - 2328-7683 UR - https://doi.org/10.11648/j.ijiis.s.2015040201.11 AB - This paper aims to build closed loop supply chain model (CLSCM) and propose a multi-objective genetic algorithm. This paper designs the method of calculation for a solution using optimization algorithms with the priority-based genetic algorithm (priGA), and Adaptive Weight Approach (AWA).In this paper, we present a multi-objective closed loop supply chain model in integrated logistics system. We formulated a mathematical model with two objectives functions: (1) minimize transportation cost, open cost, inventory cost, purchase cost, disposal cost and saving cost of integrated facilities of CLSCM, (2) minimize the delivery time tardiness in all periods. Finally, a simulation is investigated to demonstrate the applicability of the proposed multi-objective closed loop supply chain model (CLSCM) and solution approaches. VL - 4 IS - 2-1 ER -
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