Integrated optimization of transportation, inventory and vehicle routing with simultaneous pickup and delivery in two-echelon green supply chain network

Sherif, S. Umar; Asokan, P.; Sasikumar, P.; Mathiyazhagan, K.; Jerald, Jason

doi:10.1016/j.jclepro.2020.125434

Cited by 51 publications

(12 citation statements)

References 35 publications

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“…The authors employed the robust optimization approach to tackle uncertainty and used the Karush–Kuhn–Tucker (K-K-T) optimality conditions to solve the research problem. Sherif et al ( 2021 ) designed a two echelon SCN by proposing a mathematical programming model for the battery manufacturing industry. The authors employed the simulated annealing algorithm to solve the research problem in the large-sized test problems.…”

Section: Literature Reviewmentioning

confidence: 99%

Robust design of a green-responsive closed-loop supply chain network for the ventilator device

Asadi

Khatir

Rahimi

2022

Environ Sci Pollut Res

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This study aims to investigate the closed-loop supply chain network design problem considering the environmental and responsiveness features. For this purpose, a multi-objective mathematical model is suggested that minimizes the carbon emissions and the total costs and maximizes the responsiveness of the system. Due to the dynamic space of the business environment, uncertainty is an integral part of the supply chain problem. Therefore, this research applies the robust possibilistic programming method to cope with uncertainty. Afterwards, since the research problem has a high level of the complexity, a hybrid solution approach based on a heuristic method and the meta-goal programming method is developed to solve the research problem in a reasonable time. Then, due to the importance of the ventilator device during the recent pandemic (COVID-19), this study considers this product as a case study. The main contribution of the current study is to design a green-responsive closed-loop supply chain network under uncertainty using a multi-objective robust possibilistic programming model, for the first time in the literature, especially in the medical devices industry. On the other side, the other contribution of this study is to develop an efficient hybrid solution method. The achieved results demonstrate the efficiency of the offered model and the developed hybrid method. Eventually, by carrying out sensitivity analysis, the impact of some of the critical parameters on the model is investigated. Based on the obtained results, an increase in the demand sizes leads to increasing the environmental damages and the total costs while reducing the responsiveness level. On the other side, an increase in the rate of return leads to an increase in all of the objective functions. Also, the achieved results show that when the capacity parameter is increased, the total costs are decreased, but the responsiveness and environmental impacts are increased. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-022-19105-1.

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Section: Literature Reviewmentioning

confidence: 99%

Robust design of a green-responsive closed-loop supply chain network for the ventilator device

Asadi

Khatir

Rahimi

2022

Environ Sci Pollut Res

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“…The authors utilized the RO method to cope with the uncertainty and solved the research problem by developing a modified genetic algorithm. Sharif et al [ 24 ] investigated the integrated green SC network design and routing problems. They proposed a mathematical model and developed a simulated annealing algorithm to handle the suggested model.…”

Section: Literature Reviewmentioning

confidence: 99%

An enhanced PSO algorithm to configure a responsive-resilient supply chain network considering environmental issues: a case study of the oxygen concentrator device

Nasrollah

Najafi

Bagherzadeh³

et al. 2022

Neural Comput & Applic

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In recent years, the hyper-competitive marketplace has led to a drastic enhancement in the importance of the supply chain problem. Hence, the attention of managers and researchers has been attracted to one of the most crucial problems in the supply chain management area called the supply chain network design problem. In this regard, this research attempts to design an integrated forward and backward logistics network by proposing a multi-objective mathematical model. The suggested model aims at minimizing the environmental impacts and the costs while maximizing the resilience and responsiveness of the supply chain. Since uncertainty is a major issue in the supply chain problem, the present paper studies the research problem under the mixed uncertainty and utilizes the robust possibilistic stochastic method to cope with the uncertainty. On the other side, since configuring a supply chain is known as an NP-Hard problem, this research develops an enhanced particle swarm optimization algorithm to obtain optimal/near-optimal solutions in a reasonable time. Based on the achieved results, the developed algorithm can obtain high-quality solutions (i.e. solutions with zero or a very small gap from the optimal solution) in a reasonable amount of time. The achieved results demonstrate the negative impact of the enhancement of the demand on environmental damages and the total cost. Also, according to the outputs, by increasing the service level, the total cost and environmental impacts have increased by 41% and 10%, respectively. On the other hand, the results show that increasing the disrupted capacity parameters has led to a 17% increase in the total costs and a 7% increase in carbon emissions. Supplementary Information The online version contains supplementary material available at 10.1007/s00521-022-07739-8.

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“…The market demand is solely determined by the promotional strategies of the retailers in the supply chain. Sherif et al 91 observed that four distinct motives can change the dimension of the SC network with effective forms of transportation and efficient scrap collection systems that are environmentally friendly, including the economic concern, legislations on the environment, and potential recycling benefits.…”

Section: Green Supply Chain Management (Gscm)mentioning

confidence: 99%

The dynamics of green supply chain management within the framework of renewable energy

Gawusu

Zhang

Jamatutu

et al. 2021

Intl J of Energy Research

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Summary This study provides an overview of green supply chain management (GSCM) in the context of renewable energy sources. Thus, it establishes a green management standard with GSCM that companies can adopt. The environmental, economic, and social components determine the concept of GSCM. However, the development and commercialization of renewable energy and sustainable manufacturing practices play a fundamental role in shaping the traditional supply chain management (SCM) and business models. GSCM means that firms and organizations must balance economic and environmental performance to stay competitive, and conform with regulatory and community pressures. This has forced enterprises to design and implement strategies such as eco‐efficiency, greener production, and cleaner environmental practices, for green management practices, which aim at reducing the environmental impacts of their operations. This study further highlights insights needed to significantly improve performance and overcome barriers to the development of renewable energy green supply chain management (REGSCM). It also presents useful techniques by outlining better control chain costs to make renewable energy more affordable and efficient, and a new conceptual model that is mainly grounded within the network of distributed energy systems in the context of GSCM. This concept allows renewable energy producers to sell their surplus electricity based on a peer‐to‐peer (P2P) network or sell directly via the general market. Specifically, this model brings to bear the linkages to the creation of value by firms.

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Integrated optimization of transportation, inventory and vehicle routing with simultaneous pickup and delivery in two-echelon green supply chain network

Cited by 51 publications

References 35 publications

Robust design of a green-responsive closed-loop supply chain network for the ventilator device

Robust design of a green-responsive closed-loop supply chain network for the ventilator device

An enhanced PSO algorithm to configure a responsive-resilient supply chain network considering environmental issues: a case study of the oxygen concentrator device

The dynamics of green supply chain management within the framework of renewable energy

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