Optimization of Closed-Loop Supply Chain Problem for Calculation Logistics Cost Accounting

Lee Jeongeun; Rhee Kyonggu

doi:doi:10.11648/j.ijiis.s.2015040201.11

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Optimization of Closed-Loop Supply Chain Problem for Calculation Logistics Cost Accounting

Lee Jeongeun, Rhee Kyonggu

Published in International Journal of Intelligent Information Systems (Volume 4, Issue 2-1)

Received: 16 January 2015 Accepted: 19 January 2015 Published: 29 January 2015

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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.

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), 2015. Published by Science Publishing Group

Keywords

Closed-Loop Supply Chain, Logistics Cost Accounting, Genetic Algorithm

References

[1]	Majid Ramezani, Ali Mohammad Kimiagari, Behrooz Karimi, “Closed-loop supply chain network design: A financial approach”, Applied Mathematical Modelling, Vol. 38, No. 15–16, 2014, pp. 4099-4119.
[2]	Junhai Ma, Hongwu Wang, “Complexity analysis of dynamic noncooperative game models for closed-loop supply chain with product recovery”, Applied Mathematical Modelling, Vol. 38, No. 23, 2014, pp. 5562–5572.
[3]	Chia-Hung Chuang, CharlesX.Wang , YabingZhao, “Closed-loop supply chain models for a high-tech product under alternative reverse channel and collection cost structure”s, International Journal of Production Economics, Vol. 156, 2014, pp. 108-123.
[4]	Lee, J. E. Chung, K. Y., Lee, K. D. and Gen, M., “A multi-objective hybrid genetic algorithm to minimize the total cost and delivery tardiness in a reverse logistics”, Multimedia Tools and Applications, published online, 03 August 2013.
[5]	Syarilf, A. and Gen, M., “Double Spanning Tree-based Genetic algorithm For Two Stage Transportation Problem”, International Journal of Knowledge-Based Intelligent Engineering System, Vol. 7, No. 4, 2003, pp. 388-389.
[6]	Gen, M. and Cheng, R., Genetic Algorithms and Engineering Optimization, John Wiley and Sons, New York, 2000.
[7]	Gen, M., Cheng, R. and Lin, L., Network Models and Optimization: Multiobjective Genetic Algorithm Approach, Springer, 2008.
[8]	Altiparmak, F., Gen, M., Lin, L. and Paksoy, T., “A genetic algorithm approach for multi-objective optimization of supply chain networks”, Computers & Industrial Engineering, Vol. 51, No. 1, 2006, pp. 197-216.
[9]	Rhee, K. G., Lee, J. E. and Lee, K. D., “Multiobjective Reverse Logistics Model considering Inventory Systems with Backordering”, The Korean Academic Association of Business Administration, Vol. 25, No. 1, 2012, pp. 613~625.

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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

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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

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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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@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}
}

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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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Author Information

Lee Jeongeun

Department of Accounting, Dongeui University, Busan, Korea
Rhee Kyonggu

Department of Accounting, Dongeui University, Busan, Korea

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Plain Text BibTeX RIS

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

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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

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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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@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}
}

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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  -

Copy | Download