Green supply chain network design with stochastic demand and carbon price

Rezaee, Ahmad; Dehghanian, Farzad; Fahimnia, Behnam; Beamon, Benita M.

doi:10.1007/s10479-015-1936-z

Cited by 181 publications

(95 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There are various models to formulate the problem ranging from linear deterministic models [12,30] to nonlinear stochastic ones [31,32]. The most recent studies dealing with the supply chain network design problem can be referred to elsewhere [9,33,34].…”

Section: Literature Reviewmentioning

confidence: 99%

Design of Green Cold Chain Networks for Imported Fresh Agri-Products in Belt and Road Development

et al. 2018

View full text Add to dashboard Cite

Abstract:The development of Belt and Road has seen a boom of imported fresh agri-products in China. This stimulates the growth of refrigerated transport, which accounts for much more carbon emissions than traditional transport. Designing a sustainable cold chain network is of vital importance from both financial and environmental perspectives. In this research, a multi-objective linear programming model is proposed for green cold chain design for multiple imported fresh agri-products in China to balance between the two competing goals-the total cost and carbon emissions. The effect of the outdoor air temperature on the carbon emissions of transportation and maintaining distribution centers is considered. By applying the ε-constraint method, the multi-objective model is solved. Numerical examples derived from the scenario of imported fresh-agri products in China are conducted to shed light on green cold chain design under Belt and Road development.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Design of Green Cold Chain Networks for Imported Fresh Agri-Products in Belt and Road Development

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The model aims to balances the supply chain operational cost and carbon emission in an optimal fashion, and several sensitivity analyses are also given in this paper in order to test the overall system performance with respect to the change of critical parameters. Rezaee et al [16] formulate a stochastic programming for green supply chain network planning, which considers the uncertainties related to the customer demand and carbon price. Jakhar [17] proposes a comprehensive decision model for selecting partners and allocating resources in a green supply chain, which employs and combines structural equation modeling, multi-objective programming, and analytical hierarchy process for qualitative and quantitative analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

A Goal Programming Approach for Green Supply Chain Network Optimization

Yu¹,

Solvang²,

Solvang³

2016

Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation

View full text Add to dashboard Cite

Abstract-Green supply chain management has been focused by both academicians and practitioners in recent years due to the increased public awareness on environmental problems and sustainable development. In this paper, a decision aided model for green supply chain network design and optimization is proposed to justify both economic and environmental performance in an optimal fashion. The model is formulated as a bi-objective goal programming model aiming to balance supply chain cost and CO2 emission, which are usually conflict with each other. The model is validated through a numerical experiment, and discussion and analysis are also given based upon the computational result. The result provides managerial insights for companies in the supply chain, and it has been proved to be an effective tool for decision-making in strategic level of supply management. In general, more investment has to be spent for reducing the CO2 emission in a supply chain, and the result of sensitivity analysis presents the cost effectiveness in achieving the environmental goal.

show abstract

“…The authors suggested a dual-objective model and used e-constraint approach to solve the model. Rezaee et al (2017) developed a two-tiers stochastic programming model for green supply chain network. The authors considered demand and carbon price as random parameters in the introduced model.…”

Section: Introductionmentioning

confidence: 99%

The development of a green supply chain dual-objective facility by considering different levels of uncertainty

Khorasani

Almasifard

2017

J Ind Eng Int

View full text Add to dashboard Cite

This paper presents a dual-objective facility programming model for a green supply chain network. The main objectives of the presented model are minimizing overall expenditure and negative environmental impacts of the supply chain. This study contributes to the existing literature by incorporating uncertainty in customer demand, suppliers, production, and casting capacity. An industrial case study is also analyzed to reveal the feasibility of the proposed model and its application. A fuzzy approach which is known as TH is used to solve the suggested dualobjective model. TH approach is integration of a max-min method (LH) and modified version of Werners' approach (MW). The outcome of this study reveals that the presented model can support green supply chain network in different levels of uncertainty. In presented model, cost and negative environmental impacts derived from the supply chain network will increase of higher levels of uncertainty.

show abstract

Green supply chain network design with stochastic demand and carbon price

Cited by 181 publications

References 30 publications

Design of Green Cold Chain Networks for Imported Fresh Agri-Products in Belt and Road Development

Design of Green Cold Chain Networks for Imported Fresh Agri-Products in Belt and Road Development

A Goal Programming Approach for Green Supply Chain Network Optimization

The development of a green supply chain dual-objective facility by considering different levels of uncertainty

Contact Info

Product

Resources

About