Designing a sustainable closed-loop supply chain network based on triple bottom line approach: A comparison of metaheuristics hybridization techniques

Devika, K.; Jafarian, Ahmad; Nourbakhsh, Vahid

doi:10.1016/j.ejor.2013.12.032

Cited by 392 publications

(193 citation statements)

References 60 publications

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“…One of the most important issues in green logistics is how to identify preferred solutions that balance environmental and business concerns (Quariguasi et al, 2009). Previous studies have addressed sustainability in SCM from different perspectives, including green product design , green purchasing and supplier selection (Bai and Sarkis, 2010;Rao, 2002;Kumar et al, 2014), manufacturing (Ilgin and Gupta, 2010), remanufacturing (Mitra and Webster, 2008), reverse logistics (Barker and Zabinsky, 2011), closed-loop logistics (Devika et al, 2014), and supply chain design (Chaabane et al, 2011). Although the literature regarding environmental management in the supply chain context has been growing in recent years (Tseng and Hung, 2014), the interplay effects that incorporate environmental externalities, government policy incentives, and stakeholders' environmental interests (as sustainable constraints in this domain) have not been given sufficient attention.…”

Section: Introductionmentioning

confidence: 99%

Assessing the economic performance of an environmental sustainable supply chain in reducing environmental externalities

Ding

Liu

Zheng

2016

European Journal of Operational Research

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This study investigates the mechanism that motivates supply chain firms to reduce environmental externalities while balancing the economic feasibility of the supply chain system under environmentally constrained circumstances in a competitive market. Taking government policy incentives into account, a quantitative model of an integrated supply chain that incorporates sustainable constraints is formulated to optimize supply chain firms’ operational strategies of producing environmental friendly products (EFPs). This study contributes to the literature with a better understanding the interplay and interrelation of multiple sustainable constraints and their impact on supply chain firms’ collaborative decisions. Our findings suggest that the decisions of operating EFPs are subject to sustainable constraints and that the government policy incentives play a dominant role overseeing supply chain firms’ environmental behaviors toward sustainability

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Section: Introductionmentioning

confidence: 99%

Assessing the economic performance of an environmental sustainable supply chain in reducing environmental externalities

Ding

Liu

Zheng

2016

European Journal of Operational Research

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“…Because of the complexity of the CLSC design problems, the problem found NP-hard nature for the large sizes [28,29].The lack of a good algorithm which leads to a near optimum solution in a rational CPU time to solve the CLSC design problem is still felt [3]. With regards to the complexity of the large problem sizes of the proposed CLSC design, a recently known meta-heuristic algorithm called DA is proposed to solve.…”

Section: Dragonfly Algorithm (Da)mentioning

confidence: 99%

Closed loop supply chain network design for the paper industry: A multi-objective stochastic robust approach

et al. 2017

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Closed loop supply chain design is to provide an optimal platform for efficient and effective supply chain management. It is an essential and strategic operation management problem in supply chain management, and usually includes multiple and conflicting objectives. A new mixed integer non-linear programming model for a multi-objective closed loop supply chain network design problem in the paper industry is developed under uncertainty. The objective functions are to minimize the total cost, maximize the total volume flexibility and minimize the total number of vehicles hired in order to fulfill the paper industry's policies towards a cleaner and green environment. Also, a novel hybrid solution is presented based on stochastic programming, robust optimization and fuzzy goal programming. A numerical example utilizing the real data from the paper industry in East Azerbaijan of Iran is designed and the model performance is assessed. Furthermore, a recently developed Dragonfly Algorithm (DA) employed to solve the given problem in large scales and compared with Genetic Algorithm (GA). The results indicated that the DA achieved better performance compared with the GA.

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“…These findings show that gaps in literature exists concerning the use of MCDM approaches to support inventory management decisions with respect to economic and environmental criteria. Reverse logistics is considered in 27 publications, while only 11 papers combined forward and reverse logistics to support decision making in a closed-loop supply chain (Govindan et al 2016a;Garg et al 2015;Ghayebloo et al 2015;Mota et al 2015;Devika et al 2014;Kannegiesser and Gunther 2014;Oh and Jeong 2014;Pishvaee et al 2014;Ozkir and Basligil 2013;Paksoy et al 2012;Quariguasi Frota Neto et al 2010). Only few of the papers dealing with modelling material flows in a closed-loop supply chain presents a case study with realistic data.…”

Section: Decision Problemsmentioning

confidence: 99%

“…Among non-deterministic models fuzzy set theory is most frequently applied to take uncertainty into account. Fuzzy set theory is used to take et al (2015), Gao and You (2015), Garcia and You (2015b), Garg et al (2015), Ghayebloo et al (2015), Kostin et al (2015), Mota et al (2015), Nagurney (2015), SantibanezAguilar et al (2015), Shimizu et al (2015), Tognetti et al (2015), Yu et al (2015), Yue et al (2015), Devika et al (2014), Govindan et al (2014a) 59 (38) 110 (19) 19 (8) 188 (65) a Publication with non-deterministic parameter(s)…”

Section: Model Characteristicsmentioning

confidence: 99%

Multi-criteria decision making approaches for green supply chains: a review

et al. 2016

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Designing Green Supply Chains (GSCs) requires complex decisionsupport models that can deal with multiple dimensions of sustainability while taking into account specific characteristics of products and their supply chain. Multi-Criteria Decision Making (MCDM) approaches can be used to quantify trade-offs between economic, social, and environmental criteria i.e. to identify green production options. The aim of this paper is to review the use of MCDM approaches for designing efficient and effective GSCs. We develop a conceptual framework to find relevant publications and to categorise papers with respect to decision problems, indicators, and MCDM approaches. The analysis shows that (1) the use of MCDM approaches for designing GSCs is a rather new but emerging research field, (2) most of the publications focus on production and distribution problems, and there are only a few inventory models with environmental considerations, (3) the majority of papers assume all data to be deterministic, (4) little attention has been given to minimisation of waste, (5) numerous indicators are used to account for eco-efficiency, indicating the lack of standards. This study, therefore, identifies the need for

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Designing a sustainable closed-loop supply chain network based on triple bottom line approach: A comparison of metaheuristics hybridization techniques

Cited by 392 publications

References 60 publications

Assessing the economic performance of an environmental sustainable supply chain in reducing environmental externalities

Assessing the economic performance of an environmental sustainable supply chain in reducing environmental externalities

Closed loop supply chain network design for the paper industry: A multi-objective stochastic robust approach

Multi-criteria decision making approaches for green supply chains: a review

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