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

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.

Sustainable green supply chain management: trends and current practices

“…Fuzzy set theory along with various multi-criteria decision-making techniques such as the analytic hierarchy process (Govindan et al , 2013; Wang et al , 2012), analytic network process (Cabral et al , 2012), interpretive structural modelling (Mathiyazhagan et al , 2013), decision-making trial and evaluation laboratory (Lin, 2013; Lin et al , 2011; Wu et al , 2011), technique for order preference by similarity to ideal solution (Kannan et al , 2014; Wang and Chan, 2013) and data envelopment analysis (Tajbakhsh and Hassini, 2014) have been extensively used. Moreover, simulation has found application in works of Mangla et al , (2014) and Jayant et al (2014). Empirical studies are conducted in 17 per cent of the papers, while applied research appeared in only 6 per cent of papers.…”

Impacts of Additive Manufacturing on Supply Chain Flow: A Simulation Approach in Healthcare Industry

“…They proposed a simulation model to solve reverse network of used computers based on graph theory and agent technology that helps to solve this problem by dynamic configuration of supply chains. Jayant et al [39] presented a reverse logistics network for used inverter batteries collection in north India. They firstly designed a reverse logistics network to establish transfer stations, drop-off points and a disassembly plant.…”

A Framework for Interactive Development of Simulation Models with Strategical–Tactical–Operational Layering Applied to the Logistics of Bulk Commodities

“…In others, process flows and decision-making are intertwined into a more complex system that the modeller is forced to compress into a single representational plane. Some models are limited to operational planes [53,54], others to higher level tactical or strategic ones [55,56], though some manage to present two of the three [57,58]. In contrast, modellers using OO-based software can use native class support to represent different instances of decision making and flow at various levels in such a way as to show how they influence each other [59,60].…”