The reduction of greenhouse gas emissions from freight transport by pooling supply chains
TL;DR: In this paper, the authors explore the environmental impact of pooling of supply chains at the strategic level (merging supply chains) and compute CO2 emissions for two transport modes, road and rail.
About: This article is published in International Journal of Production Economics.The article was published on 2013-05-01. It has received 289 citations till now. The article focuses on the topics: Supply chain & Pooling.
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TL;DR: This paper presents a review that highlights the contribution of operations research to green logistics, which involves the integration of environmental aspects in logistics, and indicates several areas where environmental aspects could be included in OR models for logistics.
707 citations
TL;DR: In this paper, the optimal order quantity was derived and the impacts of carbon trade, carbon price, and carbon cap on order decisions, carbon emissions, and total cost in inventory management.
609 citations
TL;DR: A review of recent research on green road freight transportation is provided to provide an understanding of vehicle emission models and their inclusion into the existing optimization methods.
600 citations
TL;DR: There is a need to strengthen innovation and transportation infrastructure to achieve environmental sustainability targets and the findings from a wavelet power spectrum reveal that there is a significant vulnerability in innovation, financial development, transportation infrastructure, and CO2 emissions at different time frames and frequencies.
306 citations
TL;DR: Considering economic, environmental and social impacts, a new sustainable closed-loop location-routing-inventory model under mixed uncertainty is presented in this paper, where the environmental impacts of CO2 emissions, fuel consumption, wasted energy and the social impacts of created job opportunities and economic development are considered.
Abstract: Considering economic, environmental and social impacts, this paper presents a new sustainable closed-loop location-routing-inventory model under mixed uncertainty. The environmental impacts of CO2 emissions, fuel consumption, wasted energy and the social impacts of created job opportunities and economic development are considered in this paper. The uncertain nature of the network is handled using a stochastic-possibilistic programming approach. Furthermore, for large-sized problems, a hybrid meta-heuristic algorithm and lower bounds are developed and discussed. Finally, a real case study is provided to demonstrate the applicability of the model in real-world applications, and several in-depth analyses are conducted to develop managerial implications.
269 citations
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TL;DR: In this article, a framework for the design and evaluation of sustainable logistic networks, in which profitability and environmental impacts are balanced, is presented, and the expected computational difficulties of using the MOP approach in the design of sustainable networks, and a technique, based on the commonalities between data envelopment analysis (DEA) and MOP, is introduced to evaluate the efficiency of existing logistic network.
399 citations
01 Jan 1999
TL;DR: In this article, a summary of all individual methodologies and corresponding emission factors and functions produced for use in estimating pollutant emissions and energy consumption from transport is presented, and guidance is given regarding the emissions behavior of future vehicles and fluids.
Abstract: This report is a summary of all individual methodologies and corresponding emission factors and functions produced for use in estimating pollutant emissions and energy consumption from transport. All current vehicle technologies are covered for all different types or classes of road vehicles, as well as rail, shipping, and air transport. Cold start extra emissions, evaporative losses, road gradient and vehicle load effects are addressed for road vehicles. ALso, guidance is given regarding the emissions behavior of future vehicles and fluids. The methodologies and emission data are complemented with statistical input as regards the necessary transport activity data. Data are also provided on the pollutant emissions associated with energy production. Examples of the use of the methodologies are included in two ways: for road and rail transport, a variety of aggregated emission factors have been calculated, and comparisons have been made for passenger and freight journeys using different modes of transport.
280 citations
TL;DR: In this paper, a survey was carried out and linked fuel consumption to transport performance parameters in 50 German haulage companies during 2003 and showed potential for improvements given a low level of vehicle usage and load factor levels, scarce use of lightweight vehicle design, poorly selected vehicles and a high proportion of empty runs.
Abstract: Road freight transport continues to grow in Germany and generates 6% of the country’s CO2 emissions. In logistics, many decisions influence the energy efficiency of trucks, but causalities are not well understood. Little work has been done on quantifying the potential for further CO2 reduction and the effect of specific activities, such as introducing computer assisted scheduling systems to trucking firms. A survey was survey out and linked fuel consumption to transport performance parameters in 50 German haulage companies during 2003. Emission efficiency ranged from 0.8 tonne-km to 26 tonne-km for 1 kg CO2 emissions. The results show potential for improvements given a low level of vehicle usage and load factor levels, scarce use of lightweight vehicle design, poorly selected vehicles and a high proportion of empty runs. IT-based scheduling systems with telematic application for data communication, positioning and navigation show positive effects on efficiency. Fuel use and transport performance was measured before and after the introduction of these systems.
229 citations
TL;DR: In this paper, the authors present the results of the design and implementation of a collaborative hub network for the distribution of fast moving consumer goods using a combination of trucking and inland barges.
Abstract: Collaborative hub networks can provide an answer to the need to decrease logistics cost and maintain logistics service levels by shifting consolidated flows to modes that are better suited for handling large volumes (rail, barge, coastal shipping), so economies of scale can be obtained. This necessity has been increased by the tendency of globalization of industries, smaller shipments sizes, high frequencies, and the fragmentation of flows. Through collaboration the necessary synchronization between expensive but fast and flexible means of transport and inexpensive, but slow and inflexible means can be combined in an intermodal hub network. This paper shows the rationale behind these collaborative hub networks, based on the literature on the design of many-to-many hub networks. The resulting methodology is explained through presenting the results of the design and implementation of collaborative hub network for the distribution of fast moving consumer goods using a combination of trucking and inland barges. This concept, first proposed by Vermunt [Vermunt, A.J.M., 1999. Multilognet, the intelligent multimodal logistics network, an important node in the worldwide logistics net, Vermunt Logistiek Advies v.o.f., working paper (in Dutch)], won the European Intermodal Award of the European Intermodal Association in 2003, and after extensive research was launched in The Netherlands as a commercial pilot by logistics service provider Vos Logistics and barge operator Riverhopper in January 2004. © 2005 Elsevier Ltd. All rights reserved.
213 citations
TL;DR: Optimization technology that can be used to assist in the identification of repeatable, dedicated truckload continuous move tours with little truck repositioning is discussed.
Abstract: In the highly fragmented truckload transportation industry a substantial fraction of truck movements involves empty trucks, i.e., moves that reposition trucks. However, reducing the amount of truck repositioning is difficult because the need for a carrier to reposition its trucks depends on the interactions between the shippers the carrier is serving. Through collaboration, shippers may be able to identify and submit sequences of continuous loaded movements to carriers, reducing the carriers' need for repositioning, and thus lowering the carriers' costs. A portion of the carriers' cost savings may be returned to the shippers in the form of lower prices. We discuss optimization technology that can be used to assist in the identification of repeatable, dedicated truckload continuous move tours with little truck repositioning. Timing considerations are critical to practical viability and a key focus of our efforts. We demonstrate the effectiveness of the algorithms developed on various randomly generated instances as well as on instances derived from data obtained from a strategic sourcing consortium for a $14 billion U.S. industry.
212 citations