Simulation Modeling of Integrated Supply Chain Logistics Networks

Jayant, Arvind; Kumar, Sanjey

doi:10.1007/978-81-322-0491-6_10

Cited by 3 publications

(1 citation statement)

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“…To deal with these critical problems, many governments have announced environmental legislation associated with green product designs and encouraged enterprises to implement green supply chains and reverse logistics to improve customer satisfaction, extend product life, and decrease resource investment. Reverse logistics is a recoverable system that increases product life by means of recycling, repair, refurbishment, and remanufacturing [2][3][4]. In 2011, Benjamin T. Hazen [5] defined reverse logistics as the processes associated with the flows of product returns, source reduction, recycling, material substitution, material reuse, waste disposal, material refurbishment, repair, and remanufacturing.…”

Section: Introductionmentioning

confidence: 99%

Simulation Modelling and Analysis of Network Design for Closed-Loop Supply Chain: A Case Study of Battery Industry

Jayant

Gupta

Garg

2014

Procedia Engineering

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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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Section: Introductionmentioning

confidence: 99%