scholarly journals Cost, carbon emissions and modal shift in intermodal network design decisions

2015 ◽  
Vol 164 ◽  
pp. 388-399 ◽  
Author(s):  
Yann Bouchery ◽  
Jan Fransoo
Keyword(s):  
Network Design ◽  
Carbon Emissions ◽  
Modal Shift ◽  
Design Decisions

Multi-period reverse logistics network design with emission cost

2017 ◽  
Vol 28 (1) ◽  
pp. 127-149 ◽  
Author(s):  
Sajan T. John ◽  
Rajagopalan Sridharan ◽  
P.N. Ram Kumar
Keyword(s):  
Mathematical Model ◽  
Network Design ◽  
Reverse Logistics ◽  
Planning Horizon ◽  
Mixed Integer ◽  
Single Type ◽  
Reverse Supply Chain ◽  
Design Decisions ◽  
Content Type ◽  
Total Cost

Purpose The purpose of this paper is to develop a mathematical model for the network design of a reverse supply chain in a multi-product, multi-period environment. The emission cost due to transportation activities is incorporated into the model to reduce the total cost of emission and study the significance of inclusion of emission cost on the network design decisions. Design/methodology/approach Mixed integer linear programming formulation is used to model the network. The developed model is solved and analysed using the commercial solver LINGO. Findings The mathematical model provides a unified design of the network for the entire planning horizon comprising of different periods. A reduction in the total cost of emission is achieved. The analysis of the problem environment shows that the network design decisions significantly vary with the consideration of emission cost. Research limitations/implications A single mode of transportation is considered in this study. Also, a single type of vehicle is considered for the transportation purpose. Practical implications The developed model can aid the decision makers in making better decisions while reducing the total emission cost. The quantification of the emission cost due to transportation activities is presented in an Indian context and can be used for future studies. Originality/value An all-encompassing approach for the design of reverse logistics networks with explicit consideration of product structure and emission cost.

Analyses of Logistics Network Design With the Consideration of Carbon Emission Reduction Preference

2021 ◽  
Vol 14 (1) ◽  
pp. 90-112
Author(s):  
ZhongMing Tang ◽  
Xingxing Liu ◽  
Yuanrong Hu
Keyword(s):  
Network Design ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Decision Makers ◽  
Carbon Emission Reduction ◽  
Logistics Network ◽  
Carbon Reduction ◽  
Operation Costs ◽  
Considerable Concern

As a major cause of global warming, carbon emissions have become a considerable concern in society. In this paper, the authors examine logistics network design considering the carbon emission reduction preferences of decision-makers. To investigate the effects of carbon reduction preferences on carbon emissions, the authors first develop two optimization models with the objectives of optimizing carbon emissions and operation costs, respectively. Subsequently, the authors analyze the effects of the emission reduction preferences of decision-makers on logistics network design at both the strategic and tactical levels. Moreover, the authors propose coordination mechanisms for carbon emissions and operation costs in logistics network design. The results indicate that emission reduction preferences significantly affect carbon emissions and operation costs in logistics network design, especially at the strategic level.

scholarly journals Network Design towards Sustainability of Chinese Baijiu Industry from a Supply Chain Perspective

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Xianglan Jiang ◽  
Jiuping Xu ◽  
Jiarong Luo ◽  
Fei Zhao
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Carbon Emissions ◽  
Chinese Culture ◽  
Social Impact ◽  
Alcoholic Beverages ◽  
Optimal Decision ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Sustainable Supply Chain

Sustainable supply chain network design has attracted great attention of academia and industry in recent years. Baijiu is one of the world’s oldest distilled alcoholic beverages and plays a significant role in Chinese culture and Chinese people’s daily life. As the production and consumption of Baijiu have a significant influence on the economic, environmental, and social performance of supply chain management, sustainable supply chain network design decisions are critical to the long-term success of the industry. In concert with the rapidly growing Chinese economy, there is a growing demand for a sustainable Baijiu industry. Therefore, this paper constructs and optimizes a network decision-support model for a sustainable Baijiu industry network design. To achieve this, the Baijiu supply chain is examined and a model is proposed for a design that encompasses economic (costs), environmental (carbon emissions), and social (local employment and regional per capita GDP) dimensions. R language programming is then applied to solve the model. A case example indicated that S1 was the optimal decision for reducing costs, S2 was the optimal solution for minimizing carbon emissions, and S3 was the best for maximizing the social impact. Considering the situation of the Baijiu industry and the focal enterprise, it was concluded that S1 would be the best solution for the case company. And the results verified the effectiveness of the framework. This paper develops a systematic and effective approach that decision-makers can use to conduct sustainable network design for Baijiu enterprises.

scholarly journals A Novel Reverse Logistics Network Design Considering Multi-Level Investments for Facility Reconstruction with Environmental Considerations

2019 ◽  
Vol 11 (9) ◽  
pp. 2710 ◽  
Author(s):  
Xuehong Gao
Keyword(s):  
Network Design ◽  
Carbon Emissions ◽  
Reverse Logistics ◽  
Network Design Problem ◽  
Logistics Network ◽  
Logistics Networks ◽  
Environmental Objectives ◽  
Reverse Logistics Network ◽  
Forward Logistics ◽  
Multi Level

Reverse logistics is convincingly one of the most efficient solutions to reduce environmental pollution and waste of resources by capturing and recovering the values of the used products. Many studies have been developed for decision-making at tactical, practical, and operational levels of the reverse supply chain. However, many enterprises face a challenge that is how to design the reverse logistics networks into their existing forward logistics networks to account for both economic and environmental sustainability. In this case, it is necessary to design a novel reverse logistics network by reconstructing the facilities based on the existing forward logistics network. Multi-level investments are considered for facility reconstruction because more investment and more advanced remanufacturing technologies need to be applied to reduce the carbon emissions and improve facility capacities. Besides, uncertain elements include the demand for new products and return quantity of used products, making this problem challenging. To handle those uncertain elements, a bi-objective stochastic integer nonlinear programming model is proposed to facilitate this novel reverse logistics network design problem with economic and environmental objectives, where tactical decisions of facility locations, investment level choices, item flows, and vehicle assignments are involved. To show the applicability and computational efficiency of the proposed model, several numerical experiments with sensitivity analysis are provided. Finally, the trade-off between the profit and carbon emissions is presented and the sensitive analysis of changing several key input parameters is also discussed.

scholarly journals A Multiperiod Supply Chain Network Design Considering Carbon Emissions

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Yang Peng ◽  
Jose Humberto Ablanedo-Rosas ◽  
Peihua Fu
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Mixed Integer ◽  
Carbon Credit ◽  
Demand Forecast ◽  
Total Cost ◽  
Regulatory Policies ◽  
Trade Offs

This paper introduces a mixed integer linear programming formulation for modeling and solving a multiperiod one-stage supply chain distribution network design problem. The model is aimed to minimize two objectives, the total supply chain cost and the greenhouse gas emissions generated mainly by transportation and warehousing operations. The demand forecast is known for the planning horizon and shortage of demand is allowed at a penalty cost. This scenario must satisfy a minimum service level. Two carbon emission regulatory policies are investigated, the tax or carbon credit and the carbon emission cap. Computational experiments are performed to analyze the trade-offs between the total cost of the supply chain, the carbon emission quantity, and both carbon emission regulatory policies. Results demonstrate that for a certain range the carbon credit price incentivizes the reduction of carbon emissions to the environment. On the other hand, modifying the carbon emission cap inside a certain range could lead to significant reductions of carbon emission while not significantly compromising the total cost of the supply chain.

Rail freight in 2035 – traction energy analysis for high-performance freight trains

2012 ◽  
Vol 226 (6) ◽  
pp. 568-574 ◽  
Author(s):  
Andreas Hoffrichter ◽  
Joseph Silmon ◽  
Simon Iwnicki ◽  
Stuart Hillmansen ◽  
Clive Roberts
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
High Performance ◽  
East Coast ◽  
Energy Analysis ◽  
Road Vehicles ◽  
Modal Shift ◽  
Running Speed ◽  
Multiple Unit ◽  
Heavy Goods Vehicles

This paper provides a comparison of the energy consumption and carbon emissions of rail and road vehicles for two routes. The scenarios considered are a high running speed container train, in locomotive hauled and electrical multiple unit (EMU) configuration, and a converted passenger EMU for pallets, as well as the corresponding road heavy goods vehicles. The container route is over the UK’s East Coast Main Line and the pallet route is from London to the border with Scotland. The well-to-wheel 2008 and projected 2035 energy figures and carbon emissions are determined. It is demonstrated that, despite higher running speeds, a modal shift to rail reduces carbon emissions. The higher speed results in a more flexible path allocation for freight trains, enabling more attractive and flexible offers to shippers, therefore encouraging modal shift. The particular advantage of rail in hauling large volumes of cargo is highlighted, particularly if locomotives are used for traction.

scholarly journals Computational Tools to Support Ethanol Pipeline Network Design Decisions

2013 ◽  
Vol 03 (01) ◽  
pp. 1-16
Author(s):  
Gustavo Dias da Silva ◽  
Virgílio José Martins Ferreira Filho ◽  
Laura Bahiense
Keyword(s):  
Network Design ◽  
Design Decisions ◽  
Computational Tools ◽  
Pipeline Network
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