Modelling a recovery network for WEEE: A case study in Portugal

Gomes, Maria Isabel; Barbosa‐Póvoa, Ana Paula; Novais, Augusto Q.

doi:10.1016/j.wasman.2011.02.023

Cited by 89 publications

(51 citation statements)

References 29 publications

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“…In section 2, the relevant literature on main modeling characteristics/features utilized in RL & CLSC network design is given. In addition, C Sasikumar et al [5] C Pishavaee and Torabi [25] C Wang and Hsu [26] C Subulan and Tasan [11] C Bouzembrak et al [27] C Hasani et al [28] C Gomes et al [29] C Pishavaee and Razmi [30] C Ozceylan and Paksoy [31] C Chaabane et al [32] C Alumur et al Five application steps of eco-indicator 99 methodology are given as follows [13]: (i) definition of system boundary, functional unit and purpose of the eco-indicator calculation, (ii) description of life cycle stages, (iii) quantification of materials and processes, (iv) forming and filling the form, (v) interpretation of the results. There are few papers in the literature that presented the application of eco-indicator 99 methodology while designing and planning of a supply chain network.…”

Section: Introductionmentioning

confidence: 99%

Designing an environmentally conscious tire closed-loop supply chain network with multiple recovery options using interactive fuzzy goal programming

Subulan

Taşan

Baykasoğlu

2015

Applied Mathematical Modelling

125

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Significant environmental problems have been experienced due to the growth in the amount of used tires every year. In addition, both remanufacturing and recycling options for the end of life tires have become crucial issues nowadays because of the difficulty related to the dissociation of these scrap tires in the environment and the economic benefits of material and energy recovery. In this respect, effective collection, storage, recycle and proper disposal of these end-of-life tires without damaging the environment require designing an efficient closed-loop supply chain network. Based on this motivation, this paper presents a holistic modeling approach for a tire closed-loop supply chain via mixed integer linear programming. Alternative recovery options such as remanufacturing, recycling and energy recovery are considered simultaneously in that model. The main objective of this paper is developing a multi-objective, multi-echelon, multi-product and multi-period logistics network design model in a more holistic manner while taking into account the environmental issues. For quantifying the environmental impact along the closed-loop supply chain, a life cycle assessment based and damage oriented method (Eco-indicator 99) is used. The model is applied to an illustrative case study and interactive fuzzy goal programming approach is utilized for solving the proposed fuzzy multiple-objective network optimization model. In order to reach best profit values and environmental indicator that are targeted, effects of some parameters (factors) within the profit and damage function are examined with the help of Taguchi design of experiment technique. Experimental runs are conducted by using the optimization solver of ILOG OPL Studio 6.3 and results are evaluated through Taguchi's (S/N) ratios, analysis of means graphs, interaction graphs and analysis of variance (ANOVA) via MINITAB 14.

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Section: Introductionmentioning

confidence: 99%

Designing an environmentally conscious tire closed-loop supply chain network with multiple recovery options using interactive fuzzy goal programming

Subulan

Taşan

Baykasoğlu

2015

Applied Mathematical Modelling

125

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“…Sasikumar et al (2010) developed a mixed integer nonlinear programming (MINLP) model to maximize the profit of reverse logistics network and presented a case of truck tire remanufacturing. Gomes et al (2011) developed a MILP model for network design for electric and electronic waste recovery including waste sources, sorting centres and recycling facilities in Portuquese. Mutha and Pokharel (2009) proposed a mathematical model for the design of a reverse logistics network that consists of retailers, warehouses, reprocessing centers, remanufacturing factories, distribution and recycling centers, spare markets, disposal sites and suppliers.…”

Section: Overview Of the Literaturementioning

confidence: 99%

A mixed integer linear programming model to optimize reverse logistics activities of end-of-life vehicles in Turkey

Demirel

Gökçen

2016

Journal of Cleaner Production

150

100

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“…Gomes et al (2011) proposed a generic MILP model to represent a Portuguese WEEE recovery network. In their model, the best locations for collection and sorting centres are chosen simultaneously.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing a sustainable recovery network for waste from electrical and electronic equipment using a genetic algorithm

Shokouhyar

Aalirezaei

2017

IJESD

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Abstract:In recent years, reverse logistic and closed-loop supply chain issues have became more important due to environmental, social and economic reasons. Product recovery which comprises recycling, remanufacturing, repairing and disposing requires an efficient reverse logistic network. Among used products, waste electrical and electronic equipment (WEEE) has become a major problem for developing countries due to its harmful effects. WEEE contains hazardous materials that may have an impact on both environment and human health if it is properly managed. On the contrary, valuable materials can be extracted if it is controlled properly. Therefore, decision makers should give consideration to design an efficient reverse logistic network to manage WEEE. In this paper, a mathematical model of two-stage RL network has been developed based on sustainable development objectives in which economic, environmental and social objectives are considered simultaneously. A multi objective genetic algorithm (MOGA) is developed to determine the best locations of collection centres and recycling plants. In result, the decision makers can make the trade-off between environmental issues and economic and social impacts. The proposed model is examined through a real case from Iran's WEEE current situation.Keywords: reverse logistic network; multi objective genetic algorithm; MOGA; none dominated sorting genetic algorithm-II; NSGA-II; waste electrical and electronic equipment; WEEE; sustainable development.Reference to this paper should be made as follows: Shokouhyar, S. and Aalirezaei, A. (2017) 'Designing a sustainable recovery network for waste from electrical and electronic equipment using a genetic algorithm', Int.

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Modelling a recovery network for WEEE: A case study in Portugal

Cited by 89 publications

References 29 publications

Designing an environmentally conscious tire closed-loop supply chain network with multiple recovery options using interactive fuzzy goal programming

Designing an environmentally conscious tire closed-loop supply chain network with multiple recovery options using interactive fuzzy goal programming

A mixed integer linear programming model to optimize reverse logistics activities of end-of-life vehicles in Turkey

Designing a sustainable recovery network for waste from electrical and electronic equipment using a genetic algorithm

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