International Journal of Production Research Submit to this Special Issue on Modelling and Analysis of Sustainable Freight Transportation

International Journal of Production Research

Are you exploring environmentally friendly and sustainable methods of freight transportation?

Do you have new models and analytical methods for developing sustainable freight transportation?

If so, you should contribute to our special issue on ‘Modelling and Analysis of Sustainable Freight Transportation’!

Why this subject?

Freight transportation has been changed by:

  • globalization,
  • elimination of trade barriers,
  • lower tariffs
  • industrial revolutions
  • technological advancement.

Trade-related international freight is expected to grow by a factor of 4.3 by 2050 (compared with 2010). Patterns of trade will shift: one third of trade in 2050 will occur among developing economies. While opportunities abound with growing population, increased consumption rates, new e-commerce players in the market, just-in-delivery supply chains, and reverse logistics, there is an untapped potential in the freight transport sector.

The US Department of Transportation (US DOT) has reported transportation as the second largest source of carbon emissions. In the context of EU, the freight transport sector is causing environmental damage due to:

  • inefficiency (40-60% empty haulage)
  • redundant trips
  • lack of synchronization between transport modes  
  • lack of ability to deal with disruption and risks.

However, developing countries such as India or China face severe challenges including:

  • congested roads
  • disruption due to unexpected events
  • low utilization of fleet capacity
  • poor infrastructure
  • congested and inefficient ports
  • inability to meet new demand due to prefixed routes
  • high noise and air pollution.

There is a growing need for the logistics and freight transport sector to incorporate sustainability measures into their operations as the current operations have negative impact on environment and quality of life.

In this environment, the development and availability of analytical models and decision support tools can help organizations make more effective and informed decisions.

In recent past, IJPR has published many seminal work in the area of sustainable supply chains. Among a wide array of supply chains and logistics activities, the most visible and environmentally damaging element is extensive freight transportation and thus has received a lot of attention from the researchers.

Taticchi et al. (2015) have suggested the need for integrated performance frameworks with new generation decision-support tools incorporating triple bottom line (TBL) approach for managing sustainable supply chains.

Hall et al. (2012) have argued why firms should include sustainable development considerations in supply chains.

Fahminia et al. (2015) investigated the impacts of carbon pricing on manufacturing and distribution planning decisions by presenting a trade-off of supply chain models.

Kengopal and Tuamee (2016) developed a decision support framework (DSF) to assess quantitative risk in multimodal green logistics.

In today’s context, it is undeniable that the freight transport sector needs to move from its traditional objective of minimizing total operational costs to a broader picture of sustainability. Therefore, it is imperative to develop models which embrace good business sense while catering the needs of people, prosperity, environment and sustainability.

The ever-growing use of Internet of Things (IoT) and Information and Communication Technology (ICT) technologies can enable real-time smart decision in the field of freight transportation. This encourages researchers to focus on developing data driven decision making models for the integration of multiple modes of transportation or multiple service providers in freight network.

What could you contribute?

We encourage you to send high quality research that explores the challenges and rewards associated with modelling and analysis of the design and management of sustainable freight transportation. We encourage analytical and optimization modelling efforts that explore sustainability-freight transportation relationship and real world applications.

In particular, this Special Issue on “Modeling and Analysis of sustainable freight transportation” will covers all aspects of design and analysis of freight transportation model in supply chains decision making. This includes, but is not limited to:

  •  Data driven modeling for market segmentation & forecasting
  •  Policy formulation for transport prices, congestion pricing, carbon pricing, taxation
  •  Mathematical modeling and innovative solution methodology for restructuring the physical logistics network
  •  Intelligent transportation systems
  •  Multi-objective optimization for reducing Carbon Footprint in freight transport
  •  Integration of multimodal freight activities
  •  Reverse logistics
  •  Big Data Analytics
  •  Decision Support Tools for Sustainability
  •  Performance assessment and improvement
  •  Risk management for Sustainable Freight Transportation

Why should you contribute?

  • Your article will be published in a widely read and cited journal (impact factor 1.693)
  • Your research will be validated by a robust single-blind peer review process
  • You can share your research with colleagues using 50 e-prints provide free of charge 
  • You can follow the impact of your research using My Authored Works

Instructions for Authors

When can you contribute?

Now! We intend to publish this Special Issue in the first half of 2018.

How can you contribute?
You will find the instructions for preparing your manuscript here. Please read these carefully.

You can send your contribution directly through the journal's submission site.

We will review each manuscript to ensure its topic is suitable for this special issue. Those that pass this stage will then be reviewed by at least two anonymous reviewers to ensure they conform to the high standards of the journal before they are accepted for publication.

Please contact the Editors directly for more information.

References

Paolo Taticchi, Patrizia Garengo, Sai S. Nudurupati, Flavio Tonelli & Roberto Pasqualino (2015) A review of decision-support tools and performance measurement and sustainable supply chain management, International Journal of Production Research, 53:21, 6473-6494, DOI: 10.1080/00207543.2014.939239

Jeremy Hall , Stelvia Matos & Bruno Silvestre (2012) Understanding why firms should invest in sustainable supply chains: a complexity approach, International Journal of Production Research, 50:5, 1332-1348, DOI: 10.1080/00207543.2011.571930

Behnam Fahimnia, Joseph Sarkis, John Boland, Mohsen Reisi & Mark Goh (2015) Policy insights from a green supply chain optimisation model, International Journal of Production Research, 53:21, 6522-6533, DOI: 10.1080/00207543.2014.958592

Athakorn Kengpol & Sopida Tuammee (2016) The development of a decision support framework for a quantitative risk assessment in multimodal green logistics: an empirical study,  International Journal of Production Research, 54:4, 1020:1038 DOI: 10.1080/00207543.2015.1041570

Editorial information