Low carbon chance constrained supply chain network design problem: a Benders decomposition based approach

Shaw, Krishnendu; Irfan, Mohd; Shankar, Ravi; Yadav, Surendra S.

doi:10.1016/j.cie.2016.06.011

Cited by 90 publications

(36 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [37], Zhou et al investigated the decision in a two-echelon supply chain with cooperative advertising and emission reduction cost sharing. In [23], Shaw et al proposed a chance constrained based green supply chain network design model considering carbon emissions and carbon trading. In [29], Wang et al focused on a Stackelberg game model for studying the issues of carbon emission reduction under different dominant powers.…”

Section: Low-carbon Supply Chainmentioning

confidence: 99%

Governmental subsidy policies and supply chain decisions with carbon emission limit and consumer’s environmental awareness

Wang

Zhang

et al. 2019

RAIRO-Oper. Res.

View full text Add to dashboard Cite

The carbon emission reduction has become an inevitable trend. Under the low-carbon environment, the government has been acting as an important role in the operation and management of supply chain. This paper considers four different governmental subsidy strategies, which includes none of members is subsidized (NS Scenario), only retailer is subsidized (RS Scenario), only manufacturer is subsidized (MS Scenario) and both members are subsidized (SS Scenario). A Stackelberg game model, which incorporates both governmental regulation and consumer's awareness of carbon emission, is developed to present the pricing and emission reduction behaviors for the supply chain members as well as the subsidy policies of government under different governmental subsidy strategies, and analyze the impact of relevant coefficients on the decisions and supply chain profits. It can be concluded that subsidizing to both members is more profitable for supply chain members and government in terms of environment protection and economic development. The results provide some managerial insights for the decision-makers and policy-makers to implement sustainability initiatives.Mathematics Subject Classification. 00A71.

show abstract

Section: Low-carbon Supply Chainmentioning

confidence: 99%

Governmental subsidy policies and supply chain decisions with carbon emission limit and consumer’s environmental awareness

Wang

Zhang

et al. 2019

RAIRO-Oper. Res.

View full text Add to dashboard Cite

show abstract

“…Surplus supply to retailers is prevented by Constraint (27). The amount of ow of materials between collection centers and recycling centers is balanced by Inequality (28) considering downfall rate of collected materials at recycling centers. The non-negativity restrictions on shipment decision variables are enforced by Constraint (29).…”

Section: Beginning Of Period T 2 F2; ; T 1gmentioning

confidence: 99%

A multi-stage stochastic programming model for sustainable closed-loop supply chain network design with financial decisions: A case study of plastic production and recycling supply chain

et al. 2019

View full text Add to dashboard Cite

This paper proposes a multi-objective, multi-stage programming model to design a sustainable closed-loop supply chain network considering nancial decisions. A multi-product, sustainable closed-loop plastic Supply Chain Network Design (SCND) problem, which encompasses economic, environmental, and social objectives, is modeled in a mathematical manner. The decisions to be made were concerned with the location of facilities, ow of products, loans to take, and investments to make. Uncertainty issue was about the demand of customers and the rate of return on investment. The decision making model was formulated as a multi-objective, multi-stage mixed-integer linear programming problem and solved by implementing path formulation and augmented "constraint methods. Computational analysis was carried out based on the subject company to determine the signi cance of the proposed model and the e ciency of integrating nancial decisions with SCND decisions.

show abstract

“…Current global efforts to minimize environmental impacts have encouraged companies to change their practices to increase efficiency and reduce negative externalities [9], which has led to a higher focus on sustainable practices such as recycling and waste management [10,11]. Shaw et al [12] designed a sustainable location-allocation model that considered the consumers' environmental behavior, which affected consumer demand for low carbon emissions products. Torabi et al [13] proposed a generic model for a sustainable wine manufacturer-distribution network that encompassed economic, environmental, and social objectives.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Programming-Based Sustainable Inventory-Allocation Planning Problem with Carbon Emissions and Defective Item Disposal under a Fuzzy Random Environment

Kang

2018

Mathematical Problems in Engineering

View full text Add to dashboard Cite

There is a growing concern that business enterprises focus primarily on their economic activities and ignore the impact of these activities on the environment and the society. This paper investigates a novel sustainable inventory-allocation planning model with carbon emissions and defective item disposal over multiple periods under a fuzzy random environment. In this paper, a carbon credit price and a carbon cap are proposed to demonstrate the effect of carbon emissions’ costs on the inventory-allocation network costs. The percentage of poor quality products from manufacturers that need to be rejected is assumed to be fuzzy random. Because of the complexity of the model, dynamic programming-based particle swarm optimization with multiple social learning structures, a DP-based GLNPSO, and a fuzzy random simulation are proposed to solve the model. A case is then given to demonstrate the efficiency and effectiveness of the proposed model and the DP-based GLNPSO algorithm. The results found that total costs across the inventory-allocation network varied with changes in the carbon cap and that carbon emissions’ reductions could be utilized to gain greater profits.

show abstract

Low carbon chance constrained supply chain network design problem: a Benders decomposition based approach

Cited by 90 publications

References 64 publications

Governmental subsidy policies and supply chain decisions with carbon emission limit and consumer’s environmental awareness

Governmental subsidy policies and supply chain decisions with carbon emission limit and consumer’s environmental awareness

A multi-stage stochastic programming model for sustainable closed-loop supply chain network design with financial decisions: A case study of plastic production and recycling supply chain

A Dynamic Programming-Based Sustainable Inventory-Allocation Planning Problem with Carbon Emissions and Defective Item Disposal under a Fuzzy Random Environment

Contact Info

Product

Resources

About