Simulation Modelling and Analysis of Network Design for Closed-Loop Supply Chain: A Case Study of Battery Industry
Reverse logistics has evolved to assist companies in recognizing potential benefits and overcoming challenges associated with its operations and strategies. Reverse logistics has a considerable influence both on production planning and management and on the determination of optimal production and st...
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Published in | Procedia engineering Vol. 97; pp. 2213 - 2221 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Elsevier Ltd
2014
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Abstract | Reverse logistics has evolved to assist companies in recognizing potential benefits and overcoming challenges associated with its operations and strategies. Reverse logistics has a considerable influence both on production planning and management and on the determination of optimal production and storage capacities. Product recovery, which encompasses reuse, remanufacturing and materials recycling, requires a structured reverse logistic network in order to collect products efficiently at the end of their life cycle. Present work describes simulation modelling of reverse logistics networks for collection of EOL products for XYZ Limited Company of North India. This company is involved in production of acid batteries for commercial use. Simulation model presented in this work, allows the user to analyze the future performance of the network and to understand the complex relationship between the parties involved. The findings from the simulation suggest that the model calculates cycle time, transfer time, transfer cost, and resource utilization in a predictable manner. Simulation model was developed using Arena 11.0 simulation package. |
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AbstractList | Reverse logistics has evolved to assist companies in recognizing potential benefits and overcoming challenges associated with its operations and strategies. Reverse logistics has a considerable influence both on production planning and management and on the determination of optimal production and storage capacities. Product recovery, which encompasses reuse, remanufacturing and materials recycling, requires a structured reverse logistic network in order to collect products efficiently at the end of their life cycle. Present work describes simulation modelling of reverse logistics networks for collection of EOL products for XYZ Limited Company of North India. This company is involved in production of acid batteries for commercial use. Simulation model presented in this work, allows the user to analyze the future performance of the network and to understand the complex relationship between the parties involved. The findings from the simulation suggest that the model calculates cycle time, transfer time, transfer cost, and resource utilization in a predictable manner. Simulation model was developed using Arena 11.0 simulation package. |
Author | Jayant, A. Gupta, P. Garg, S.K. |
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CitedBy_id | crossref_primary_10_1016_j_cie_2022_108532 crossref_primary_10_1038_s41598_023_39025_5 crossref_primary_10_1088_1742_6596_1240_1_012030 crossref_primary_10_1016_j_ijpe_2015_05_030 crossref_primary_10_1016_j_jclepro_2017_11_023 crossref_primary_10_1088_1742_6596_1240_1_012066 crossref_primary_10_3390_su13020548 crossref_primary_10_1007_s10668_023_03141_z crossref_primary_10_1080_02533839_2021_1940297 crossref_primary_10_1016_j_jmsy_2020_02_001 crossref_primary_10_1155_2018_4390480 crossref_primary_10_1016_j_jclepro_2020_120032 crossref_primary_10_1016_j_wasman_2016_06_029 crossref_primary_10_1080_13675567_2021_1914562 crossref_primary_10_3390_logistics2010001 crossref_primary_10_1016_j_resconrec_2021_105528 crossref_primary_10_1007_s41660_022_00276_w crossref_primary_10_1108_CR_05_2015_0034 crossref_primary_10_3390_modelling3030018 |
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Keywords | recycling supply chain networks simulation modelling Reverse logistics |
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References | Dowlastshahi, S., A strategic framework for the design and implementation of remanufacturing operations in reverse logistics, International Journal of Production Research, Vol.43, No.16, pp.3455-3480. Gengui Zhou, Hokey Min (bib0050) 2011; 9 www.gravitatechnomech.com. Jayant, Sanjeev Kumar, Simulation Modelling of Integrated Supply Chain Logistics Networks, proceedings of the International Conf. on Soc-Pros 2011, AISC 131, pp. 87-97.springerlink.com © Springer India 2012. During December 20-22, 2011 at Roorkee.662. Jayant, P. Gupta, S. K. Garg,Closed Loop Supply Chain for Spent batteries: A Simulation Study Volume 6, Number 1, pp-87-102. Jayant Arvind, Gupta, Garg (bib0030) 2011 106, 61-69. Chiou (bib0005) 2010 Jayant, P. Gupta, S.K. Garg, Perspectives in Reverse Supply Chain Management(R-SCM): A State of the Art Literature Review Volume 3, No.1, pp 89-99. Vol. 34, pp 655-670. G. Kannan, P. Sasikumar, K. Devika, A genetic algorithm approach for solving a closed loop supply chain model: A case of battery recycling Hazen (bib0025) 2011; 10 S. Kara, F. Rugrungrang, H. Kaebernick, Simulation modelling of reverse logistics networks Gungor, A. and Gupta, S.M. Issues in environmentally conscious manufacturing and product recovery: a survey Vol.36, No.4, pp.811-853. Jayant Arvind (10.1016/j.proeng.2014.12.465_bib0030) 2011 10.1016/j.proeng.2014.12.465_bib0060 10.1016/j.proeng.2014.12.465_bib0040 10.1016/j.proeng.2014.12.465_bib0010 10.1016/j.proeng.2014.12.465_bib0020 10.1016/j.proeng.2014.12.465_bib0045 10.1016/j.proeng.2014.12.465_bib0055 Chiou (10.1016/j.proeng.2014.12.465_bib0005) 2010 Hazen (10.1016/j.proeng.2014.12.465_bib0025) 2011; 10 10.1016/j.proeng.2014.12.465_bib0035 Gengui Zhou (10.1016/j.proeng.2014.12.465_bib0050) 2011; 9 10.1016/j.proeng.2014.12.465_bib0015 |
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SubjectTerms | recycling Reverse logistics simulation modelling supply chain networks |
Title | Simulation Modelling and Analysis of Network Design for Closed-Loop Supply Chain: A Case Study of Battery Industry |
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