A multi-echelon reverse logistics network design for product recovery—a case of truck tire remanufacturing

Sasikumar, P.; Govindan, Kannan; Haq, A. Noorul

doi:10.1007/s00170-009-2470-4

Cited by 123 publications

(46 citation statements)

References 17 publications

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“…Several authors have used for their contributions, mathematical integer linear programming (MILP) models. For instance, the design of a logistic network for returns in electronic commerce [14]; design of a model to examine the heterogeneous and non-uniform quality of the returned products in reverse logistics [15]; design of a reverse logistics network for the recycling of plastics [16]; design of a reverse logistics network for tires out of use in cities of Colombia [17]; design of an integrated network for optimization of product recovery [18]; design of a reverse logistics network based on a genetic algorithm that satisfies the demand for the logistic network [19]; design of a network for reverse logistics providers [20]; design of reverse logistics networks for waste of electrical and electronic equipment (WEEE) [21] [22]; design of a system to establish the batch size of hybrid products which must be remanufactured [23]; design of a flexible reverse logistics network with different supply lines [24]; design of a reverse logistics network for the recovery of vehicles at the end of their life cycle [25], among other authors, as [26] The design and use of mathematical tools to design reverse logistics systems for the recovery of products that have ended their life cycle, is acquiring great importance in the field of research. The commitment to these designs is to offer recycled products that contribute to sustainable development, fulfilling economic, social and ecological objectives.…”

Section: Literature Reviewmentioning

confidence: 99%

A Model for Design of a Reverse Logistics Network Under Extended Producer Responsibility

Sepúlveda¹,

Banguera²

2018

dtetr

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The paper develops a mixed integer linear programming model for capacitated facility location which allows the optimal design of a reverse logistics network and illustrates its application in the case of out-of-use tires. These tires are generated in service networks and garages, as in many large cities, and their use includes the possible production of raw materials derived from rubber and the use as fuel for certain industries such as cement. Optimal flows are generated, configuration of collection and recycling facilities is determined, and estimation of the monetary transfers necessary for the feasible operation of the system is estimated. The model must meet recycling targets and minimize the cost of fines in case of infeasibility, through relaxation of constraints.

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Section: Literature Reviewmentioning

confidence: 99%

A Model for Design of a Reverse Logistics Network Under Extended Producer Responsibility

Sepúlveda¹,

Banguera²

2018

dtetr

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“…There are several barriers faced during the remanufacturing these wastes (Govindan et al 2016). Around the world, only few studies have been carried out for the tire industries and these studies are focused on analyzing the profitability of car and truck tire remanufacturing (Lebreton and Tuma 2006), system design for tire reworking (Sasikumar et al 2010), value analysis for scrap tires in cement industries (de Souza and Márcio de Almeida 2013), and analyzing the factors for end-of-life management (Kannan et al 2014). In addition, some researchers proposed methodologies for improving the process in tiremanufacturing companies out of which few industries implemented lean and six-sigma methodologies (Gupta et al 2012(Gupta et al , 2013Visakh and Aravind 2014;Wojtaszak and Biały 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

Six-sigma application in tire-manufacturing company: a case study

et al. 2017

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Globalization, advancement of technologies, and increment in the demand of the customer change the way of doing business in the companies. To overcome these barriers, the six-sigma define-measure-analyze-improvecontrol (DMAIC) method is most popular and useful. This method helps to trim down the wastes and generating the potential ways of improvement in the process as well as service industries. In the current research, the DMAIC method was used for decreasing the process variations of bead splice causing wastage of material. This six-sigma DMAIC research was initiated by problem identification through voice of customer in the define step. The subsequent step constitutes of gathering the specification data of existing tire bead. This step was followed by the analysis and improvement steps, where the six-sigma quality tools such as cause-effect diagram, statistical process control, and substantial analysis of existing system were implemented for root cause identification and reduction in process variation. The process control charts were used for systematic observation and control the process. Utilizing DMAIC methodology, the standard deviation was decreased from 2.17 to 1.69. The process capability index (C p ) value was enhanced from 1.65 to 2.95 and the process performance capability index (C pk ) value was enhanced from 0.94 to 2.66. A DMAIC methodology was established that can play a key role for reducing defects in the tiremanufacturing process in India.

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“…Product recovery options in RL were not explored before Sasikumar, Kannan and Haq (2010) developed a mixed integer linear programming model for truck tyre re-manufacturing company to maximize the profit of multi echelon reverse logistic network. They concluded value creation is possible by means of successful product recovery process in the case of used tyre segments.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal inventory policy in a closed loop supply chain system with multiple periods

Arumugam

Natarajan

Sapabathy

et al. 2017

JIEM

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Abstract:Purpose: This paper aims to model and optimize the closed loop supply chain for maximizing the profit by considering the fixed order quantity inventory policy in various sites at multiple periods.Design/methodology/approach: In forward supply chain, a standard inventory policy can be followed when the product moves from manufacturer, distributer, retailer and customer but the inventory in the reverse supply chain of the product with the similar standard policy is very difficult to manage. This model investigates the standard policy of fixed order quantity by considering the three major types of return-recovery pair such as commercial returns, end-ofuse returns, end -of-life returns and their inventory positioning at multiple periods. The model is configured as mixed integer linear programming and solved by IBM ILOG CPLEX OPL studio. Findings:To find the performance of the model a numerical example is considered for a product with three Parts (A which of 2nos, B and C) for 12 multiple periods. The results of the analysis show that the manufacturer can know how much should to be manufacture in multiple periods based on Variations of the demand by adopting the FOQ inventory policy at different sites considering its capacity constraints. In addition, it is important how much of parts should be purchased from the supplier at the given 12 periods.-237-Journal of Industrial Engineering and Management -https://doi.org/10.3926/jiem.2205 Originality/value: A sensitivity analysis is performed to validate the proposed model two parts.First part of the analysis will focus on the inventory of product and parts and second part of analysis focus on profit of the company. The analysis which provides some insights in to the structure of the model.

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A multi-echelon reverse logistics network design for product recovery—a case of truck tire remanufacturing

Cited by 123 publications

References 17 publications

A Model for Design of a Reverse Logistics Network Under Extended Producer Responsibility

A Model for Design of a Reverse Logistics Network Under Extended Producer Responsibility

Six-sigma application in tire-manufacturing company: a case study

Optimal inventory policy in a closed loop supply chain system with multiple periods

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